{ "count" : 199667, "data" : [ { "id" : "6a2c95ac74d8ee00a098db0e", "title" : "Sr Manager Data Analytics, Marketing", "company" : "Fanatics Betting & Gaming", "industry" : "Sports & Fitness", "salary" : { "min" : 160000.0, "max" : 200000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, New York, United States", "locations" : [ "New York", "New York", "United States" ], "timestamp" : "2026-06-15T09:52:41.454", "fingerprint" : "4834bdf7196e077b4e681b9894ca6960f634b3b890cce695edf3cbe83a6d9cfa", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/fanaticsfbg/jobs/4239983009", "externalId" : "4239983009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "technicalSkills" : "SQL, Python, R, Scala, Spark, Dbt, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, GCP, Azure", "professionalSkills" : [ "Data analysis", "Statistical modeling", "Experiment design", "Performance evaluation", "Decision making", "Business intelligence", "Quantitative analysis", "ML framework development" ], "hardSkillsList" : [ "Data analytics", "Statistical analysis", "Regression", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference", "Model development" ], "softSkillsList" : [ "Leadership", "Critical thinking" ], "hardSkills" : [ { "name" : "Data analytics", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Regression", "level" : "intermediate" }, { "name" : "Classification", "level" : "intermediate" }, { "name" : "Clustering", "level" : "intermediate" }, { "name" : "Time-series analysis", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" }, { "name" : "Model development", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Critical thinking" } ], "majorSkills" : "Data analytics, Machine learning, Business intelligence, Data engineering", "majorSkillsList" : [ "Data analytics", "Machine learning", "Business intelligence", "Data engineering" ], "coreResponsibilities" : "Monitor performance, Ensure nuances communicated, Partner with Data Science, Partner with Experimentation teams, Design value metrics, Design testing, Evaluate performance, Contribute to development, Iteratively improve acquisition performance, Drive decision making, Create regular insights, Create ad hoc insights, Gather insights metrics, Gather insights activities, Present insights metrics, Present insights activities, Build relationships with stakeholders, Drive acquisition performance, Collaborate with Analysts, Collaborate with Data Scientists, Find solutions to business problems, Remain current on technology, Remain current on trends", "teamCollaboration" : "Digital Acquisition team; Sportsbook team; Casino team; Data teams; Other Analysts; Data Scientists", "domainKnowledge" : "Sports betting; iGaming platform; Online sports betting; Statistical model development; High-growth environments; Betting and gaming industry", "domainList" : [ "sports-betting", "igaming-platform", "online-sports-betting", "statistical-model-development", "high-growth-environments", "betting-and-gaming-industry" ], "domainSpecificKnowledge" : [ "Sports betting", "iGaming platform", "Online sports betting", "Statistical model development", "High-growth environments", "Betting and gaming industry" ], "toolProficiency" : [ "Tableau", "Power BI", "Looker", "Metabase", "Superset", "Qlik", "MicroStrategy", "Dbt Cloud", "AWS S3", "AWS Glue", "AWS SageMaker", "AWS Athena", "GCP Vertex AI", "Azure Synapse", "Azure ML Studio" ], "communicationSkills" : "Presenting insights; Advisory", "problemSolvingSkills" : "Logical approach; Analytical approach", "qualificationsBasic" : "5+ years experience, SQL proficiency, Required degrees in Statistics, Required degrees in Computer Science, Required degrees in Mathematics", "qualificationsPreferred" : "PhD preferred, Cloud platform certifications", "remoteFriendly" : false, "rawDescription" : "About Us Fanatics is building a leading global digital sports platform. We ignite the passions of global sports fans and maximize the presence and reach for our hundreds of sports partners globally by offering products and services across Fanatics Commerce, Fanatics Collectibles, and Fanatics Betting collect physical and digital trading cards, sports memorabilia, and other digital assets; and bet as the company builds its Sportsbook and iGaming platform. Fanatics has an established database of over 100 million global sports fans; a global partner network with approximately 900 sports properties, including major national and international professional sports leagues, players associations, teams, colleges, college conferences and retail partners, 2,500 athletes and celebrities, and 200 exclusive athletes; and over 2,000 retail locations, including its Lids retail stores. Our more than 22,000 employees are committed to relentlessly enhancing the fan experience and delighting sports fans globally. About Us Fanatics is building a leading global digital sports platform. We ignite the passions of global sports fans and maximize the presence and reach for our hundreds of sports partners globally by offering products and services across Fanatics Commerce, Fanatics Collectibles, and Fanatics Betting collect physical and digital trading cards, sports memorabilia, and other digital assets; and bet as the company builds its Sportsbook and iGaming platform. Fanatics has an established database of over 100 million global sports fans; a global partner network with approximately 900 sports properties, including major national and international professional sports leagues, players associations, teams, colleges, college conferences and retail partners, 2,500 athletes and celebrities, and 200 exclusive athletes; and over 2,000 retail locations, including its Lids retail stores. Our more than 22,000 employees are committed to relentlessly enhancing the fan experience and delighting sports fans globally. About the Team Launched in 2021, Fanatics Betting and Gaming is the online and retail sports betting subsidiary of Fanatics, a global digital sports platform. The Fanatics Sportsbook is available to 95% of the addressable online sports bettor market in the U. S. Fanatics Casino is currently available online in Michigan, New Jersey, Pennsylvania and West Virginia. Fanatics Betting and Gaming operates twenty-two retail sports betting locations, including the only sportsbook inside an NFL stadium at Northwest Stadium. Fanatics Betting and Gaming is headquartered in New York with offices in Denver, Leeds and Dublin. The Role: We are seeking a Senior Analytics Manager to join the Fanatics Betting monitor and ensure that nuances are communicated effectively. Partner closely with Data Science and Experimentation teams to design value metrics and testing, and evaluate performance. Contribute to the development and iterative improvement of our acquisition performance, using insights to drive and influence decision making. Be a hands-on analyst, creating insights both regular and ad hoc. Gather and present insights metrics and activities to key stakeholders, becoming a trusted source of intelligence and advisory over time. Build strong relationships with internal stakeholders in the Digital Acquisition team, as well as across the Sportsbook, Casino, and Data teams, and become a key voice in driving acquisition performance. Collaboration with other Analysts and Data Scientists to find solutions to business problems. Remain current on technology and trends in data analytics and the sports betting a strong understanding of the considerations required to run these tests. Experience in and a strong understanding of statistical model development. Demonstrated ability to partner closely with stakeholders, earning trust and prioritizing relationship, and to influence senior leadership. Confident with presenting insights to non-technical audiences, seeking to match the analysis to the business context, and making recommendations on further steps. Customer focused; highly outcome-oriented and data-driven; experienced in working in high-growth environments. Logical and analytical approach to problem solving, with strong organizational and skills. Previous experience in the betting and gaming industry is a significant plus. Ranges will change based on country and state of residence, which are reflected in Geographical Zones defined by Fanatics Betting and Gaming. The range incorporates all of our Geographical Compensation Zones and is subject to change as the Zone associated with the actual offer is confirmed. In addition to the base and bonus, full-time employment, and more. For information about our benefits, please visit https://benefitsatfanatics.com/ Salary Range $160,000—$200,000 USD By submitting your application, you agree to our terms of service and acknowledge you have read our Candidate Privacy Policy.", "summaryDescription" : "Sr Manager Data Analytics, Marketing at Fanatics Betting & Gaming. Skills: Data analytics, Machine learning, Business intelligence, Data engineering. Monitor performance. Ensure nuances communicated", "postedDate" : "2026-06-14T08:37:35.573", "createdAt" : "2026-06-14T08:37:35.573", "lastUpdated" : "2026-06-15T09:52:41.454", "ingestTimestamp" : "2026-06-14T08:37:35.573", "mongoId" : "6a2c95ac74d8ee00a098db0e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 160000, "salaryAnnualMax" : 200000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Data analytics", "Statistical analysis", "Regression", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference", "Model development", "Leadership", "Critical thinking", "Machine learning", "Business intelligence", "Data engineering", "Data analysis", "Statistical modeling", "Experiment design", "Performance evaluation", "Decision making", "Quantitative analysis", "ML framework development", "Sports betting", "iGaming platform", "Online sports betting", "Statistical model development", "High-growth environments", "Betting and gaming industry", "Tableau", "Power BI", "Looker", "Metabase", "Superset", "Qlik", "MicroStrategy", "Dbt Cloud", "AWS S3", "AWS Glue", "AWS SageMaker", "AWS Athena", "GCP Vertex AI", "Azure Synapse", "Azure ML Studio" ], "skillCount" : 42, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Manager", "dataQualityScore" : 1.0, "_score" : 1133.1613, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Sports", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c8d6f74d8ee00a0978f94", "title" : "Data Science Manager, Marketing Analytics", "company" : "Ibotta", "industry" : "Shared Services Job Group", "salary" : { "min" : 158000.0, "max" : 185000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Hybrid - Denver", "locations" : [ "Hybrid - Denver" ], "timestamp" : "2026-06-15T09:48:30.880", "fingerprint" : "00c736fc5b50714513b91ede802b7d0b0f540a6aeccda92aaf7117468826f905", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/ibotta/557c7b14-68a3-4349-8c59-356975d3711b/application", "externalId" : "557c7b14-68a3-4349-8c59-356975d3711b", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Denver", "state" : "Colorado", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "39.7392364,-104.9848620" } ], "locationText" : "Denver, Colorado, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceLevel" : "Manager", "technicalSkills" : "Python, Spark, SQL, Databricks, Airflow, Git, GitHub, Tensorflow, Sci-kit learn, Gradient Boosting, Neural Networks", "professionalSkills" : [ "Data analysis", "Pipeline tools", "MLOps", "Statistical modeling", "Personalization models", "Incentive models", "Growth strategy" ], "hardSkillsList" : [ "Data engineering", "Machine learning", "Statistical analysis", "A/B testing", "Causal inference", "MLOps best practices" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Data engineering", "level" : "intermediate" }, { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" }, { "name" : "MLOps best practices", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Machine learning, Data analytics, Analytics engineering, Statistical modeling", "majorSkillsList" : [ "Machine learning", "Data analytics", "Analytics engineering", "Statistical modeling" ], "coreResponsibilities" : "Lead data science projects, Gather requirements, Clean complex datasets, Develop technical solutions, Evaluate technical solutions, Productionize technical solutions, Optimize incentive models, Build code repositories, Build packages, Build workflows in Python, Implement MLOps best practices, Establish automated processes, Scale insights, Perform advanced ML, Perform descriptive analyses, Speak with stakeholders, Serve as leader, Bring operational practices, Bring culture-building practices, Research industry trends, Suggest areas of improvement, Handle data securely, Identify phishing attempts, Report security incidents", "teamCollaboration" : "Internal partners; External partners; Marketing leaders; Cross-functional areas; Direct to consumer marketing; B2B marketing", "projectManagementSkills" : [ "Prioritize effectively" ], "domainKnowledge" : "Marketing analytics; Personalization models; Incentive models; Media measurement", "domainList" : [ "marketing-analytics", "personalization-models", "incentive-models", "media-measurement" ], "domainSpecificKnowledge" : [ "Marketing analytics", "Personalization models", "Incentive models", "Media measurement" ], "toolProficiency" : [ "Databricks", "SQL", "Python", "Spark", "Airflow", "Git", "GitHub", "Tensorflow", "Sci-kit learn" ], "communicationSkills" : "Stakeholder communication; Interpersonal skills", "continuousLearning" : "Research industry trends", "innovationCreativity" : "Innovative solutions", "problemSolvingSkills" : "Problem-solving experience", "specialRequirements" : "Live in United States, 3 days in office", "qualificationsBasic" : "5+ years experience, 2+ years management experience, Bachelor's degree, Expert-level data analysis, Expert-level pipeline tools, SQL proficiency, Python proficiency, Spark proficiency, Airflow proficiency, Git/GitHub proficiency, Machine learning expertise, Statistical techniques expertise", "qualificationsPreferred" : "Analytical ability preferred, Problem-solving experience preferred, Marketing/media measurement preferred, PhD preferred", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Ibotta is looking for a Data Science Manager, Marketing Analytics to join our fast-growing team. This position is located in Denver, Colorado, as a hybrid position requiring 3 days in office (Tuesday, Wednesday, and Thursday). Candidates must live in the United States. THE ROLE This is a player/coach role that will lead the data science and analytics engineering functions within the Marketing Analytics team, while driving innovative solutions using machine learning, data analytics, and statistical modeling for internal and external partners. You will work closely with direct to consumer and B2B marketing leaders to define and execute Ibotta’s growth strategy, translating business questions and performance goals into Machine Learning driven personalization models This position is located in Denver, Colorado as a hybrid position requiring 3 days in office (Tuesday, Wednesday, and Thursday). Candidates must live in the United States. Not based in Denver? We will offer a relocation bonus to help make your move to the Mile High City a smooth one. WHAT YOU’LL BE DOING - Lead data science projects end-to-end: gathering requirements, cleaning complex datasets, and developing, evaluating, and productionizing innovative technical solutions, while optimizing existing incentive models - Build centralized and extensible code repositories, packages, and workflows in Python. - Implement MLOps best practices and establish automated processes to scale insights across Ibotta. - Flex work between advanced ML capabilities and descriptive analyses to meet the business where it's at. - Confidently speak with internal and external stakeholders about foundational models and project deliverables. - Serve as a leader across the department, bringing operational and culture-building best practices. - Research industry trends to stay abreast of new developments and proactively suggest areas of improvement. - Uphold Ibotta’s Core Values: Integrity, Boldness, Ownership, Teamwork, Transparency, and the belief that a good idea can come from anywhere. What we’re looking for: - 5+ years of experience in a measurement-driven function with experience working directly with leadership. - 2+ years of management experience with a proven ability to hire and develop talent. - Bachelor’s degree in computer science, data analytics, computer engineering, or a related field. - Expert-level experience with data analysis and pipeline tools, including Databricks, SQL, Python, Spark, Airflow, and Git/GitHub. - Experience hiring, leading, developing, and retaining talent - Deep expertise in machine learning tools (e.g., Tensorflow, sci-kit learn, Gradient Boosting, Neural Networks) and statistical techniques (Causal inference, A/B testing). - Demonstrated analytical ability and problem-solving skills; experience in marketing/media measurement is strongly preferred. - Excellent interpersonal and communication skills, with the ability to collaborate across functional areas. - Curiosity and the capability to prioritize effectively in a fast-paced environment. About Ibotta (\"I bought a...\") Ibotta (NYSE: IBTA) is a leading performance marketing platform allowing brands to deliver digital promotions to over 200 million consumers through a network of publishers called the Ibotta Performance Network (IPN). The IPN allows marketers to influence what people buy, and where and how often they shop – all while paying only when their campaigns directly result in a sale. American shoppers have earned over $2.6 billion through the IPN since 2012. The largest tech IPO in history to come out of Colorado, Ibotta is headquartered in Denver, and is continually listed as a top place to work by The Denver Post and Inc. Magazine. To learn more about what our Tech teams are doing day to day, visit Building Ibotta on https://medium.com/building-ibottaMedium.com http://Medium.com. Additional Job Description - This position is located in Denver, CO and includes competitive pay, flexible time off, benefits package (including medical, dental, vision), Employee Stock Purchase Program, and 401k match. Denver office perks include paid parking, snacks and occasional meals. - Base compensation range: $158,000 - $185,000. Total compensation for this role also includes a variable component in addition to base salary. Equity is included in overall compensation package. This compensation range is specific to the United States labor market and may be adjusted based on actual experience. - Ibotta is an Equal Opportunity Employer. Ibotta’s employment decisions are made without regard of race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation, or any other legally protected status. - Applicants must be currently authorized to work in the United States on a full-time basis. - Applicants are accepted until the position is filled. - For the security of our employees and the business, all employees are responsible for the secure handling of data in accordance with our security policies, identifying and reporting phishing attempts, as well as reporting security incidents to the proper channels. Recruiting Agency Notice Ibotta does not accept agency resumes and is not responsible for any fees related to unsolicited resumes. Please do not forward resumes to any Ibotta employees. #LI-Hybrid #BI-Hybrid", "summaryDescription" : "Data Science Manager, Marketing Analytics at Ibotta. Skills: Machine learning, Data analytics, Analytics engineering, Statistical modeling. Lead data science projects. Gather requirements", "createdAt" : "2026-06-14T09:42:29.739", "lastUpdated" : "2026-06-15T09:48:30.880", "ingestTimestamp" : "2026-06-14T09:42:29.739", "mongoId" : "6a2c8d6f74d8ee00a0978f94", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 158000, "salaryAnnualMax" : 185000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Data engineering", "Machine learning", "Statistical analysis", "A/B testing", "Causal inference", "MLOps best practices", "Leadership", "Data analytics", "Analytics engineering", "Statistical modeling", "Data analysis", "Pipeline tools", "MLOps", "Personalization models", "Incentive models", "Growth strategy", "Prioritize effectively", "Marketing analytics", "Media measurement", "Databricks", "SQL", "Python", "Spark", "Airflow", "Git", "GitHub", "Tensorflow", "Sci-kit learn" ], "skillCount" : 28, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "_score" : 1127.1987, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a307f57f292fd229c058281", "title" : "Senior Data and Analytics Engineer", "company" : "Velir", "salary" : { "min" : 160000.0, "max" : 175000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Remote", "locations" : [ "Remote" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T10:32:01.810", "fingerprint" : "94ede4f511c38a9621a1a064142cdbb189de1e740bcae1d22083fe7aee1c9284", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/velir/jobs/5262333008", "externalId" : "5262333008", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, Python, Spark, Dbt, Snowflake, BigQuery, Databricks, AWS, GCP, Azure, SageMaker, Vertex AI, ML Studio, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow", "professionalSkills" : [ "Data engineering", "Data modeling", "ETL development", "Data warehousing", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Machine learning", "AI development" ], "hardSkillsList" : [ "Data pipeline development", "Database management", "Cloud data platforms", "Machine learning models", "Statistical analysis", "A/B testing", "Causal inference" ], "hardSkills" : [ { "name" : "Data pipeline development", "level" : "intermediate" }, { "name" : "Database management", "level" : "intermediate" }, { "name" : "Cloud data platforms", "level" : "intermediate" }, { "name" : "Machine learning models", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" } ], "majorSkills" : "Data engineering, Machine learning, Business intelligence, Analytics engineering", "majorSkillsList" : [ "Data engineering", "Machine learning", "Business intelligence", "Analytics engineering" ], "coreResponsibilities" : "Design data pipelines, Build data models, Develop ETL processes, Implement data warehousing solutions, Create business intelligence dashboards, Engineer analytics solutions, Develop and deploy machine learning models, Perform quantitative analysis, Conduct A/B testing, Apply causal inference techniques, Optimize data infrastructure, Ensure data quality and integrity, Collaborate with stakeholders", "teamCollaboration" : "Cross-functional teams; Data science teams; Engineering teams; Product teams; Business stakeholders", "domainKnowledge" : "Cloud data stacks; ML frameworks; BI platforms; Statistical methods", "domainList" : [ "cloud-data-stacks", "ml-frameworks", "bi-platforms", "statistical-methods" ], "domainSpecificKnowledge" : [ "Cloud data stacks", "ML frameworks", "BI platforms", "Statistical methods" ], "toolProficiency" : [ "Dbt Cloud", "MLflow", "Snowflake", "BigQuery", "Databricks", "AWS SageMaker", "GCP Vertex AI", "Azure ML Studio" ], "qualificationsBasic" : "5+ years of experience in data engineering, Proficiency in SQL, Experience with Python", "qualificationsPreferred" : "Master's degree preferred, Experience with dbt Cloud, Experience with MLflow, Experience with Databricks, Experience with Snowflake, Experience with BigQuery, Experience with AWS SageMaker, Experience with GCP Vertex AI, Experience with Azure ML Studio, GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified certification, Dbt Certified certification", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Velir is an established mid-sized agency with a top-tier portfolio of clients, ranging from the world’s largest non-profits to Fortune 500 brands. As of 2023, Velir acquired Brooklyn Data Company, a premier data and analytics consultancy focused on leadership, process improvement, implementation, and advanced analytics. At Velir, we believe people are our greatest asset. Our culture is built on a foundation of trust, collaboration, and continued improvement. We strive for excellence in everything we do, embracing challenges as opportunities for growth. Our success is driven by a shared passion for making a positive impact on our customers, our communities and each other. We are a remote first company that offers competitive pay and excellent benefits. Overview The Senior Data & Analytics Engineer will play a crucial role in helping our client organizations transform raw data into reliable, well-modeled assets that drive business decisions. This hybrid role bridges data engineering and analytics engineering — combining the infrastructure-building strengths of a data engineer with the transformation, modeling, and semantic layer expertise of an analytics engineer. Core responsibilities include Data Architecture Design, Data Modeling, ELT/ETL Development, Data Quality Assurance, and Scalability Optimization, with a strong emphasis on Databricks as the primary platform. Because our clients are mostly US-based organizations, we look for the ability to communicate with professional proficiency in English, verbally and in writing. Responsibilities Data & Analytics Engineering Expertise: You are responsible for building and maintaining the infrastructure and transformation layers that support the storing, movement, and modeling of data — enabling analysts, AI agents, and business stakeholders to confidently consume, interpret and take action. You will operate across both the data engineering and analytics engineering layers of the data stack, owning pipeline development and maintenance, as well as designing and building the resultant data models. Design, build, and maintain scalable data pipelines and ELT workflows, with Databricks as the primary platform Develop and maintain dbt models that are well-documented, tested, and structured for long-term maintainability Own data modeling decisions and methodology — defining entities, relationships, and grain — in collaboration with analytics and business stakeholders Consistently seek out and deliver on engagement-level vision, tasks, and problems Regularly delivers meaningful improvements to clients' data infrastructure and analytical capabilities Autonomous in approach and provides technical guidance to less experienced engineers Cross-Team Collaboration: You are responsible for collaborating with peers and other functional departments to develop and implement data strategies that support engagement goals and client needs. Collaborate with other data engineers and analytics engineers, data analysts, and clients on end-to-end data requirements Partner with clients and functional managers to plan for data engineering and modeling needs for product or feature launches Create processes and/or documentation templates that help cross-functional teams solve common data problems Drive data solution improvements that impact the client experience or empower internal stakeholders to do their jobs effectively Take initiative to identify, communicate, and solve important problems, coordinating with others on cross-cutting technical issues Project Delivery: You are responsible for ensuring that data engineering and analytics engineering projects are delivered on time, within scope, and within budget. Architect and design data systems and transformation layers using patterns that allow for iterative delivery and future scaling Proactively identify and address technical debt with careful evaluation of development cost Optimize for predictability and a regular cadence of deliverables Keep reliability, maintainability, and scalability of client systems top of mind Ability to identify and prioritize unowned or unglamorous work that enables the broader team to move faster Skills & Qualifications Proven experience as a Data Engineer, Analytics Engineer, or in a hybrid or generalist role, with a focus on designing and developing data pipelines and transformation layers Strong programming skills in Python and SQL Hands-on, deep expertise with Databricks — including Delta Lake, Unity Catalog, and Databricks workflows Strong proficiency with dbt for data transformation, testing, and documentation Demonstrated experience in data modeling — including dimensional modeling, entity-relationship design, and semantic layer development Deep knowledge of data warehousing and ELT/ETL processes Familiarity with data integration and orchestration platforms (e.g., Fivetran, Apache Airflow, Azure Data Factory) Experience with cloud platforms such as AWS, Azure, or Google Cloud Experience with other cloud data warehouses such as Snowflake or Motherduck is a plus Experience with streaming solutions such as Spark Streaming or Kafka is desirable but not required Familiarity with MLOps techniques and platforms is a plus but not required Strong analytical and problem-solving skills Excellent communication and collaboration skills Familiarity with leveraging coding assistants such as Claude Code, CoPilot, and/or Codex is a plus Physical Requirements Frequent sitting at a desk performing work on a computer Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions Compensation Range: $160,000 - 175,000 annually Please note that compensation packages are finalized after the interview process is concluded. We use a competency-based approach to base pay, which means it is based on the competencies and skills demonstrated for this role. Core Company Values Take the Long View - Ensure the company is built to last Be Courageous - Make the right decisions even when they aren't the easiest decisions Be Genuine - Bring honesty and authenticity to all that you do Work with Focus + Passion - Display purpose and pride in your work and never stop learning As an equal opportunity employer, we are firmly committing to diversity, equity, and inclusion in our hiring efforts. We recognize that we need team members from all backgrounds and experiences to successfully shape a positive employee experience as well as deliver our product and service solutions. To that end, we actively seek candidates who can bring diverse experiences and backgrounds to our team. We know that complex factors and systemic bias can get in the way of us meeting strong candidates, so please don't hesitate to apply even if you're not 100% sure. At this time, Velir does not sponsor candidates and unfortunately cannot accept those on OPT or CPT.", "summaryDescription" : "Senior Data and Analytics Engineer at Velir. Skills: Data engineering, Machine learning, Business intelligence, Analytics engineering. Design data pipelines. Build data models", "postedDate" : "2026-06-16T01:18:38.223", "createdAt" : "2026-06-16T01:18:38.223", "lastUpdated" : "2026-06-16T10:32:01.810", "ingestTimestamp" : "2026-06-16T01:18:38.223", "mongoId" : "6a307f57f292fd229c058281", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 160000, "salaryAnnualMax" : 175000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Data pipeline development", "Database management", "Cloud data platforms", "Machine learning models", "Statistical analysis", "A/B testing", "Causal inference", "Data engineering", "Machine learning", "Business intelligence", "Analytics engineering", "Data modeling", "ETL development", "Data warehousing", "Quantitative analysis", "AI development", "Cloud data stacks", "ML frameworks", "BI platforms", "Statistical methods", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Dbt Cloud", "MLflow", "Snowflake", "BigQuery", "Databricks", "AWS SageMaker", "GCP Vertex AI", "Azure ML Studio" ], "skillCount" : 32, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "_score" : 1116.7577, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c7d1274d8ee00a094ee6c", "title" : "Senior Marketing Analytics Manager - BI & Data Architecture", "company" : "Samsara", "industry" : "SaaS", "salary" : { "min" : 135000.0, "max" : 195000.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Marketing Analytics Manager in Canada, adjusted for the technology industry and remote work in Toronto." }, "location" : "Remote - Toronto", "locations" : [ "Remote - Toronto" ], "timestamp" : "2026-06-15T09:51:53.005", "fingerprint" : "0ce1e4dcf3b12cefe5b6d08f3b1b7530d6bebd5c87a59fb228b7a9c79dc334c6", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.samsara.com/company/careers/roles/7917475?gh_jid=7917475", "externalId" : "7917475", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Toronto", "state" : "Ontario", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "remote", "geo" : "43.6534817,-79.3839347" } ], "locationText" : "Toronto, Ontario, Canada", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Python, SQL, DBT, Databricks, AI", "professionalSkills" : [ "Data architecture", "Business intelligence", "Data engineering", "Semantic models", "Data analysis", "Data modeling", "Analytics engineering", "Quantitative analysis" ], "hardSkillsList" : [ "ETL pipelines", "Data transformation", "Data modeling", "BI development", "Performance analysis", "Data warehousing" ], "softSkillsList" : [ "Critical thinking" ], "hardSkills" : [ { "name" : "ETL pipelines", "level" : "intermediate" }, { "name" : "Data transformation", "level" : "intermediate" }, { "name" : "Data modeling", "level" : "intermediate" }, { "name" : "BI development", "level" : "intermediate" }, { "name" : "Performance analysis", "level" : "intermediate" }, { "name" : "Data warehousing", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Critical thinking" } ], "majorSkills" : "Data Architecture, Business Intelligence, Data Engineering, AI for BI", "majorSkillsList" : [ "Data Architecture", "Business Intelligence", "Data Engineering", "AI for BI" ], "coreResponsibilities" : "Design, build, and maintain robust ETL pipelines, Build 'Gold Layer' tables in Databricks, Develop and document semantic layers, Develop data dictionaries, Develop markdown files designed to train and enable, Develop dashboards and analyses to surface business-critical KPIs, Assess sales and marketing performance, Perform ad-hoc reporting and deep dives, Uncover key insights across programs and initiatives, Inform strategy and decision making, Partner with marketing stakeholders to translate complex business, Create scalable data models, Create analytics-ready datasets, Champion, role model, and embed Samsara’s cultural principles", "teamCollaboration" : "Marketing, Sales, and Data Engineering teams; Marketing stakeholders", "domainKnowledge" : "Connected Operations Cloud; IoT data; Physical operations; Video-Based Safety; Vehicle Telematics; Agentic AI workflows; AI for BI", "domainList" : [ "connected-operations-cloud", "iot-data", "physical-operations", "video-based-safety", "vehicle-telematics", "agentic-ai-workflows", "ai-for-bi" ], "domainSpecificKnowledge" : [ "Connected Operations Cloud", "IoT data", "Physical operations", "Video-Based Safety", "Vehicle Telematics", "Agentic AI workflows", "AI for BI" ], "toolProficiency" : [ "Databricks", "Tableau" ], "documentationSkills" : "Structured documentation", "problemSolvingSkills" : "Analytical and critical thinking skills", "qualificationsBasic" : "Bachelor's in Statistics, Computer Science, Business, Economics or other related analytical fields, 5+ years of relevant analytics, business intelligence, artificial intelligence or data engineering work experience, Expert in SQL, python, DBT and visualization platforms, Hands-on experience working with Databricks (or similar lakehouse architectures) to transform and model large datasets, Experience building data backends, semantic layers, and structured documentation optimized for AI ingestion and agentic workflows, Analytical and critical thinking skills with experience in data analysis", "qualificationsPreferred" : "PhD preferred, Specific ML framework experience, Cloud platform certs", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Who we are Samsara (NYSE: IOT) is the pioneer of the Connected Operations™ Cloud, which is a platform that enables organizations that depend on physical operations to harness Internet of Things (IoT) data to develop actionable insights and improve their operations. At Samsara, we are helping improve the safety, efficiency and sustainability of the physical operations that power our global economy. Representing more than 40% of global GDP, these industries are the infrastructure of our planet, including agriculture, construction, field services, transportation, and manufacturing — and we are excited to help digitally transform their operations at scale. Working at Samsara means you’ll help define the future of physical operations and be on a team that’s shaping an exciting array of product solutions, including Video-Based Safety, Vehicle Telematics, Apps and Driver Workflows, and Equipment Monitoring. As part of a recently public company, you’ll have the autonomy and support to make an impact as we build for the long term. About the role: Are you passionate about building robust data architectures that power next-generation, AI-driven business intelligence? Do you thrive in the intersection of data engineering and analytics, wearing both hats to design scalable backends and deliver actionable insights? We are looking for a Senior Marketing Analytics Manager - Business Intelligence & Data Architecture to join our Marketing Analytics team. In this role, you will work closely with our Marketing, Sales, and Data Engineering teams to build the foundational \"Gold Layers\" and semantic models that enable self-serve reporting and agentic AI workflows. This is a great opportunity for a highly technical analyst who is hands-on with Python, Databricks, and SQL, and is excited about creating the infrastructure that enables AI for BI. If you’re energized by the challenge of bridging the gap between raw data pipelines and advanced analytical outputs, we’d love to hear from you. This is a remote position open to candidates residing in the US except the San Francisco Bay Metro Area, NYC Metro Area, and Washington, D. C. Metro Area. Relocation assistance will not be provided for this position. You should apply if: You want to impact the industries that run our world: Your efforts will result in real-world impact—helping to keep the lights on, get food into grocery stores, reduce emissions, and most importantly, ensure workers return home safely. You are the architect of your own career: If you put in the work, this role won’t be your last at Samsara. We set up our employees for success and have built a culture that encourages rapid career development, countless opportunities to experiment and master your craft in a hyper growth environment. You’re energized by our opportunity: The vision we have to digitize large sectors of the global economy requires your full focus and best efforts to bring forth creative, ambitious ideas for our customers. You want to be with the best: At Samsara, we win together, celebrate together and support each other. You will be surrounded by a high-calibre team that will encourage you to do your best. In this role, you will: Act as the bridge between Data Engineering and Marketing Analytics, designing, building, and maintaining robust ETL pipelines and \"Gold Layer\" tables in Databricks. Develop and document semantic layers, data dictionaries, and markdown files designed specifically to train and enable AI agents for scalable, self-serve BI. Develop dashboards and analyses to surface business-critical KPIs and assess sales and marketing performance. Perform ad-hoc reporting and deep dives to uncover key insights across programs and initiatives to inform strategy and decision making. Partner with marketing stakeholders to translate complex business requirements into scalable data models and analytics-ready datasets. Champion, role model, and embed Samsara’s cultural principles (Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team) as we scale globally and across new offices. Minimum requirements for the role: Bachelor's in Statistics, Computer Science, Business, Economics or other related analytical fields. 5+ years of relevant analytics, business intelligence, artificial intelligence or data engineering work experience. Expert in SQL, python, DBT and visualization platforms (Tableau preferred). Hands-on experience working with Databricks (or similar lakehouse architectures) to transform and model large datasets. Experience building data backends, semantic layers, and structured documentation optimized for AI ingestion and agentic workflows. Strong analytical and critical thinking skills with experience in data analysis. Comfortable leveraging AI tools to accelerate data transformation, analysis, and visualization workflows. Experience supporting Sales, Product or Marketing teams. An ideal candidate also has: Experience building interactive applications using Streamlit or Claude workflows. Experience building web applications Experience working in web analytics Sales and marketing experience including familiarity with MarTech tools. Navigate large, multifaceted datasets to answer hard questions — drawing on the right analytical or statistical approach for each problem. Data Science, machine learning or predictive analytics experience. Actively builds AI fluency relevant to BI and analytics work, including prompt engineering for data tasks, exploring AI-assisted features in tools, and staying current on how AI is reshaping the analytics landscape. Comfort working in an exploratory environment, testing and iterating on new data sources and methodologies. The range of annual base salary for full-time employees for this position is below. Please note that base pay offered may vary depending on factors including your city of residence, job-related knowledge, skills, and experience. This role is also eligible for an initial RSU grant with no vesting cliff, and ongoing refresh opportunities tied to performance, subject to plan terms and conditions. Learn more about our total rewards and benefits below. Annual Base Salary $119,000—$180,000 USD Total Rewards At Samsara, we build for the people who keep the global economy moving. We want owners, not passengers, which is why our rewards are designed to fuel high-impact builders. Our compensation program delivers above-market total compensation through a combination of base salary, performance-based bonus/variable pay, and equity (for eligible roles) in a high-growth public company. We meaningfully differentiate pay for our top performers, who have the opportunity to earn above-market compensation that can outpace the broader market over time. Beyond compensation, we provide the foundations that enable long-term success: a flexible, employee-led remote model, a professional development stipend, comprehensive health and parental leave plans, and more. If you’re ready to build for the long term and own the outcome, your journey starts here. Flexible Working At Samsara, we embrace a flexible working model that caters to the diverse needs of our teams. Our offices are open for those who prefer to work in-person and we also support remote work where it aligns with our operational requirements. For certain positions, being close to one of our offices or within a specific geographic area is important to facilitate collaboration, access to resources, or alignment with our service regions. In these cases, the job description will clearly indicate any working location requirements. Our goal is to ensure that all members of our team can contribute effectively, whether they are working on-site, in a hybrid model, or fully remotely. All offers of employment are contingent upon an individual’s ability to secure and maintain the legal right to work at the company and in the specified work location, if applicable. Belonging at Samsara At Samsara, we welcome everyone regardless of their background. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender, gender identity, sexual orientation, protected veteran status, disability, age, and other characteristics protected by law. We depend on the unique approaches of our team members to help us solve complex problems and want to ensure that Samsara is a place where people from all backgrounds can make an impact. Accommodations Samsara is an inclusive work environment, and we are committed to ensuring equal opportunity in employment for qualified persons with disabilities. Please email accessibleinterviewing@samsara.com or click here if you require any reasonable accommodations throughout the recruiting process. Our Commitment to Authenticity We use Tofu, a fraud detection tool, to validate the authenticity of applications and protect against identity fraud. This ensures we are connecting with real people and allows us to prioritize genuine candidates. Please see Samsara’s Candidate Privacy Notice for more information. Fraudulent Employment Offers Samsara is aware of scams involving fake job interviews and offers. Please know we do not charge fees to applicants at any stage of the hiring process. Official communication about your application will only come from emails ending in @samsara.com, @us-greenhouse-mail.io or @mail3.guide.co. For more information regarding fraudulent employment offers, please visit our blog post here.", "summaryDescription" : "Senior Marketing Analytics Manager - BI & Data Architecture at Samsara. Skills: Data Architecture, Business Intelligence, Data Engineering, AI for BI. Design, build, and maintain robust ETL pipelines. Build 'Gold Layer' tables in Databricks", "postedDate" : "2026-06-14T08:23:59.837", "createdAt" : "2026-06-14T08:23:59.837", "lastUpdated" : "2026-06-15T09:51:53.005", "ingestTimestamp" : "2026-06-14T08:23:59.837", "mongoId" : "6a2c7d1274d8ee00a094ee6c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "ETL pipelines", "Data transformation", "Data modeling", "BI development", "Performance analysis", "Data warehousing", "Critical thinking", "Data Architecture", "Business Intelligence", "Data Engineering", "AI for BI", "Data architecture", "Business intelligence", "Data engineering", "Semantic models", "Data analysis", "Analytics engineering", "Quantitative analysis", "Connected Operations Cloud", "IoT data", "Physical operations", "Video-Based Safety", "Vehicle Telematics", "Agentic AI workflows", "Databricks", "Tableau" ], "skillCount" : 26, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 1105.6879, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a30578df292fd229cf3b246", "title" : "Director, Data Science (Marketing Analytics)", "company" : "WPP Media", "industry" : "Media", "salary" : { "min" : 125000.0, "max" : 175000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Director, Data Science in London, UK, adjusted for the media industry and company size." }, "location" : "London, England, United Kingdom", "locations" : [ "London", "England", "United Kingdom" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T10:34:33.119", "fingerprint" : "3a6ba62df525fbf243ac489ac4826d3b9b5e3c96574d118a4c07a07dc922c5c5", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/wppmedia/jobs/5256672008", "externalId" : "5256672008", "industryFunction" : { }, "structuredLocations" : [ { "city" : "London", "state" : "England", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "51.5074456,-0.1277653" } ], "locationText" : "London, England, United Kingdom", "experienceLevel" : "Director", "technicalSkills" : "SQL, Python, R, Scala, Spark, Dbt, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Dbt Cloud, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, S3, Glue, SageMaker, Athena, GCP, Vertex AI, Azure, Synapse, ML Studio", "professionalSkills" : [ "Data engineering", "ML/AI", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Statistical methods", "ML frameworks", "BI platforms", "Cloud data stacks", "Modelling skills" ], "hardSkillsList" : [ "Statistical modeling", "Machine learning", "Data analysis", "Data manipulation", "Data visualization", "ETL processes", "Database management", "Cloud computing", "A/B testing", "Causal inference" ], "hardSkills" : [ { "name" : "Statistical modeling", "level" : "intermediate" }, { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Data manipulation", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" }, { "name" : "ETL processes", "level" : "intermediate" }, { "name" : "Database management", "level" : "intermediate" }, { "name" : "Cloud computing", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" } ], "majorSkills" : "Data Science, Machine Learning, Data Engineering, Marketing Analytics", "majorSkillsList" : [ "Data Science", "Machine Learning", "Data Engineering", "Marketing Analytics" ], "coreResponsibilities" : "Develop and implement advanced statistical and machine learning, Design and build data pipelines, Create and maintain BI dashboards and reports, Analyze marketing campaign performance, Provide data-driven insights to stakeholders, Collaborate with engineering teams, Ensure data quality and integrity, Stay updated on industry trends", "teamCollaboration" : "Cross-functional teams; Marketing teams; Engineering teams; Stakeholders", "domainKnowledge" : "Marketing analytics; Customer segmentation; Campaign optimization; Attribution modeling; Customer lifetime value", "domainList" : [ "marketing-analytics", "customer-segmentation", "campaign-optimization", "attribution-modeling", "customer-lifetime-value" ], "domainSpecificKnowledge" : [ "Marketing analytics", "Customer segmentation", "Campaign optimization", "Attribution modeling", "Customer lifetime value" ], "toolProficiency" : [ "Tableau", "Power BI", "Looker" ], "communicationSkills" : "Present insights; Communicate findings", "problemSolvingSkills" : "Analytical problem solving", "qualificationsBasic" : "5+ years of experience in data science or analytics, Proficiency in SQL, Bachelor's degree in Statistics, Computer Science, Mathematics, or related field", "qualificationsPreferred" : "PhD preferred, Experience with specific ML frameworks, Cloud platform certifications", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "About WPP Media WPP is the trusted growth partner for the world’s leading brands. With exceptional talent, trusted data and intelligence, and world-class partnerships – all united by our pioneering agentic marketing platform, WPP Open – we help clients navigate change, capture opportunity, and deliver transformational growth.  WPP Media is WPP's AI-driven media operating unit, bringing together media, data, and partnerships to deliver creative personalisation at scale. Connected through WPP Open and powered by Open Intelligence, clients see exactly where, how, and why their media investment is working. For more information, visit wppmedia.com. 2492 - Director, Data Science (Marketing Analytics) - UK Role Summary and Impact We are seeking an exceptional Senior Data Scientist to join our Marketing Science team, serving as both a technical leader and hands-on contributor in building advanced activation solutions that drive superior client performance. This role combines strategic leadership responsibilities with deep technical expertise in econometric modelling and predictive analytics. Responsibilities This is a dynamic and compelling role, and the successful candidate will need to demonstrate an ability to manage multiple projects simultaneously. You will develop a close working relationship with various internal and external teams. The objectives of the role are varied and will adapt to the business objectives as we grow. The following areas are key to the successful management and development of the team: Drive technical excellence and innovation in marketing measurement Build and scale team capabilities that enhance expertise in advanced analytics and marketing analytics methodologies Strengthen stakeholder relationships Establish analytical standards and best practices Foster a culture of continuous learning, collaboration, and excellence within the department Responsibilities Leadership and Team Management: Lead and mentor a team of data scientists and analysts, fostering professional development and technical excellence Establish team priorities, allocate resources effectively, and ensure delivery of high-quality analytical solutions Develop and implement training programs to enhance team capabilities in advanced analytics and marketing analytics Conduct performance reviews, provide regular feedback, and support career progression planning Build a collaborative, innovation-focused team culture that encourages experimentation and learning Stakeholder Management Serve as the primary analytical consultant for senior client stakeholders and internal leadership teams Translate complex analytical insights into actionable business recommendations and strategic guidance Collaborate with client service teams to scope analytical requirements and deliver solutions that meet business objectives Present high-level insights, recommendations, and innovations to senior stakeholders Cultivate strong relationships with agencies, identifying opportunities for expanded collaboration and business growth Address escalated client concerns and ensure consistent delivery of high-quality solutions Technical Excellence & Data Science Design, build, and validate Marketing Mix Models (MMM) using advanced econometric techniques Develop predictive models for campaign performance, customer behaviour, and business outcomes Implement cutting-edge statistical approaches including Bayesian modelling, machine learning, and causal inference Create cross-channel reach and frequency measurement frameworks and attribution models Build automated reporting and monitoring systems for ongoing campaign optimization Oversee the development of innovative data models and analytical frameworks to drive marketing effectiveness Ensure the team stays current with the latest advancements in data science and machine learning relevant to marketing Collaborate with the Marketing Strategists to translate complex data insights into actionable marketing strategies Guide the development of optimisation strategies both independently and in collaboration with WPP Media EMEA team. Innovation & Methodology Development Research and implement new analytical approaches, tools, and methodologies in marketing science Develop proprietary frameworks and best practices for effectiveness measurement and optimization Lead proof-of-concept projects exploring emerging techniques in marketing analytics Establish analytical standards and quality assurance processes across the team Contribute to thought leadership through white papers, industry presentations, and case studies Skills & Experience Advanced expertise in Marketing Mix Modelling (MMM) including media saturation curves, adstock effects, and base vs. incremental decomposition Strong econometrics background with experience in time series analysis, panel data methods, and causal inference Proficiency in predictive modelling using machine learning techniques (regression, tree-based methods, neural networks) Programming expertise in R and/or Python with experience in relevant libraries (e.g., tidyverse, scikit-learn, PyMC3, Stan) Experience with cloud platforms (AWS, GCP, Azure) and big data technologies (Spark, SQL) Knowledge of experimental design and A/B testing methodologies Familiarity with marketing measurement frameworks including attribution, incrementality testing, and media optimization Business & Leadership Skills Exceptional communication skills with ability to present complex analyses to non-technical stakeholders Proven experience managing and developing technical teams Strong project management capabilities with experience handling multiple concurrent initiatives Deep understanding of digital marketing ecosystem and media channels Experience working in agency, consulting, or client services environment preferred Life at WPP Media & Benefits Our passion for shaping the next era of media is powered by our commitment to Be Extraordinary, investing in our employees to inspire transformational creativity. We also Lead Optimistically, firmly believing in and Championing Growth and Development for every individual. This commitment allows WPP Media employees to leverage the extensive global WPP Media & WPP networks to pursue their passions, build vital professional connections, and learn at the cutting edge of marketing and advertising.  We Create an Open environment built on trust and respect, where everyone feels they belong and has opportunities to progress. This inclusive culture is fostered through a variety of employee resource groups and frequent in-office events showcasing team wins, sharing thought leadership, and celebrating holidays and milestone events. Our comprehensive benefits package reflects this commitment, including competitive medical, group retirement plans, vision, and dental insurance, significant paid time off, preferential partner discounts, and employee mental health awareness days.  WPP Media is an equal opportunity employer and considers applicants for all positions without discrimination or regard to characteristics. We believe the best work happens when we're together, fostering creativity, collaboration, and connection in this open and supportive environment. That's why we’ve adopted a hybrid approach, with teams in the office around four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process.  Please note that while our philosophy is the same across WPP, benefits may vary by office/country. Please note this is a UK based role and requires individuals to have the right to work in this location Please read our Privacy Notice (https://www.wppmedia.com/pages/privacy-policy) for more information on how we process the information you provide. While we appreciate all applications received, only those candidates selected for an interview will be contacted.  #LI-Promoted Please read our Privacy Notice for more information on how we process the information you provide.", "summaryDescription" : "Director, Data Science (Marketing Analytics) at WPP Media. Skills: Data Science, Machine Learning, Data Engineering, Marketing Analytics. Develop and implement advanced statistical and machine learning. Design and build data pipelines", "postedDate" : "2026-06-15T23:22:36.690", "createdAt" : "2026-06-15T23:22:36.690", "lastUpdated" : "2026-06-16T10:34:33.119", "ingestTimestamp" : "2026-06-15T23:22:36.690", "mongoId" : "6a30578df292fd229cf3b246", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Statistical modeling", "Machine learning", "Data analysis", "Data manipulation", "Data visualization", "ETL processes", "Database management", "Cloud computing", "A/B testing", "Causal inference", "Data Science", "Machine Learning", "Data Engineering", "Marketing Analytics", "Data engineering", "ML/AI", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Statistical methods", "ML frameworks", "BI platforms", "Cloud data stacks", "Modelling skills", "Marketing analytics", "Customer segmentation", "Campaign optimization", "Attribution modeling", "Customer lifetime value", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Tableau", "Power BI", "Looker" ], "skillCount" : 36, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Director", "dataQualityScore" : 0.8888889, "_score" : 1072.4589, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Media", "llmIndustryConfidence" : 0.98 }, { "id" : "6a307a21f292fd229c03866c", "title" : "Manager, Data Analytics", "company" : "Empower Pharmacy", "industry" : "Pharma", "salary" : { "min" : 115000.0, "max" : 155000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline data for a Manager, Data Analytics in Houston, United States, adjusted for the healthcare industry and manager seniority." }, "location" : "Houston, Texas, United States", "locations" : [ "Houston", "Texas", "United States" ], "timestamp" : "2026-06-16T13:26:43.592", "fingerprint" : "05f21b76f4c8516ae23bcccc23667970a3adf873d1d9a6b9878b1eb579f324ae", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://careers.empowerpharmacy.com/jobs/4282342009?gh_jid=4282342009", "externalId" : "4282342009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Houston", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "29.7589382,-95.3676974" } ], "locationText" : "Houston, Texas, United States", "experienceMinYears" : 5, "experienceLevel" : "Manager", "technicalSkills" : "AI", "professionalSkills" : [ "Data governance", "Compliance" ], "hardSkillsList" : [ "Data analytics" ], "softSkillsList" : [ "Customer Focus", "Strategic AI", "Optimizes Work Processes", "Collaborates", "Resourcefulness", "Manages Complexity", "Ensures Accountability", "Situational Adaptability", "Communicates Effectively" ], "hardSkills" : [ { "name" : "Data analytics", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Customer Focus" }, { "name" : "Strategic AI" }, { "name" : "Optimizes Work Processes" }, { "name" : "Collaborates" }, { "name" : "Resourcefulness" }, { "name" : "Manages Complexity" }, { "name" : "Ensures Accountability" }, { "name" : "Situational Adaptability" }, { "name" : "Communicates Effectively" } ], "coreResponsibilities" : "Leverage AI to drive business innovation, Enhance data analytics capabilities", "domainKnowledge" : "Healthcare; Pharmaceutical manufacturing", "domainList" : [ "healthcare", "pharmaceutical-manufacturing" ], "domainSpecificKnowledge" : [ "Healthcare", "Pharmaceutical manufacturing" ], "specialRequirements" : "Talk and hear, Remain stationary, Use hands and fingers, Move about the office, Stand, walk, reach, Climb or balance, Stoop, kneel, crouch or crawl", "qualificationsBasic" : "5 years of experience in data analytics, 2 years in a leadership position, Experience in a highly regulated industry", "qualificationsPreferred" : "Proven track record of leveraging AI", "remoteFriendly" : false, "rawDescription" : "Empower Pharmacy is a visionary healthcare company dedicated to making quality, affordable medication accessible to millions of patients nationwide. As the nation’s most advanced 503A compounding pharmacy and FDA-registered 503B outsourcing facility, we’re redefining what’s possible in personalized medicine and pharmaceutical manufacturing. We’re proud to be recognized as one of Houston’s fastest-growing private companies and ranked #116 in Healthcare Master’s preferred. Minimum of 5 years of experience in data analytics or related roles, with at least 2 years in a leadership position. Proven track record of leveraging AI to drive business innovation and enhance data analytics capabilities. Experience in a highly regulated industry, with a deep understanding of data governance and compliance. Key Competencies: Customer Focus: Builds trust through customer-centric solutions. Strategic AI: Guides responsible AI adoption and adaptation. Optimizes Work Processes: Drives efficiency with continuous improvement. Collaborates: Partners effectively to achieve shared goals. Resourcefulness: Secures and deploys resources efficiently. Manages Complexity: Simplifies and solves complex challenges. Ensures Accountability: Delivers on commitments with integrity. Situational Adaptability: Adjusts approach to shifting conditions. Communicates Effectively: Tailors messages to diverse audiences. Values: People: Empowering people defines who we are. Quality: Excellence in every product, every time. Service: Serving others is our highest purpose. Innovation: Advancing care through technology and discovery. Employee Benefits, Health and Wellness: We offer comprehensive benefits to support your health, well-being, and future, including medical, dental, and vision coverage, paid time off, 401(k) matching, wellness perks, IV therapy, and compounded medications. Learn more: https://careers.empowerpharmacy.com/benefits/ Physical Requirements: While performing the responsibilities of the job, the employee is required to talk and hear. 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With every ride, we aim to redefine health and happiness. It’s all about being more than a workout: SoulCycle is a mind-body-soul experience, built on community, love, respect, acceptance, and a lot of fun. It comes to life through the ride, the relationships, and the unparalleled hospitality. And all of that comes from our people. Join us—we’d love to have you. OUR MISSION To foster an open, diverse, & inclusive community – while embracing each unique individual exactly as they are. We empower each other by listening with an open mind, finding ways to learn and grow together, and always nurturing a sanctuary of trust. SoulCycle is seeking a sharp, curious data professional with a passion for turning numbers into narratives and insights into action. If you have a strong foundation in analytics and business intelligence, a deep comfort with SQL, and the ability to move fluidly between data infrastructure and executive-level storytelling, we'd love to hear from you. The Senior Analyst / Manager will be the connective tissue between our data systems and the decisions that drive our business forward. This role is equally focused on the technical work of building and maintaining reliable, scalable data models and dashboards, and the strategic work of surfacing trends, patterns, and opportunities that help SoulCycle make smarter, faster decisions. The ability to own an analysis end-to-end, from pulling the data to presenting the \"so what,\" is essential. The ideal candidate is a proactive, detail-obsessed problem-solver who thrives in ambiguity and knows how to prioritize competing demands without losing rigor or quality. This is a high-impact, high-visibility role that touches every team at SoulCycle, and the right person will be energized by that breadth, not overwhelmed by it. This individual will develop deep expertise in SoulCycle's full data landscape, contribute to our long-term data strategy, and help build a culture of data-driven decision-making across the organization, all while staying close to the day-to-day analytical needs of a fast-moving business. RESPONSIBILITIES * Insights & Recommendations: Partner with cross-functional teams and senior stakeholders to understand business questions, deliver timely analysis, and surface opportunities for data-driven improvement * Visualizations & Dashboarding: Design and maintain ad-hoc and recurring Looker reports; build and monitor key business metrics; proactively identify trends and performance gaps * Data Modeling: Build, optimize, and document LookML models that support scalable, efficient analysis across the organization * Infrastructure & Data Quality: Audit existing dashboards and data sources to identify consolidation opportunities; diagnose and resolve data discrepancies; partner with the Data Engineering team to improve data pipelines and ensure reporting accuracy. Possess a strong instinct for when data doesn't look right and the analytical rigor to trace issues back to their source. * Predictive Modeling: Develop and maintain models that forecast business outcomes, customer behavior, and other key metrics * Subject Matter Expertise: Develop deep familiarity with SoulCycle's full data landscape and contribute to evolving how the business measures performance ## Qualifications * 4 to 6 years of professional experience in analytics, business intelligence, or data engineering * Expert in SQL; proficiency in Python (pandas, matplotlib, etc.) strongly preferred * Hands-on experience with Looker/LookML; familiarity with Tableau, Jupyter Notebooks, and GCP/AWS * Experience with predictive modeling or statistical analysis (regression, forecasting) a plus * Ability to work independently and manage multiple priorities in a fast-paced environment * Strong communicator: able to translate complex data into clear recommendations for both technical and non-technical audiences * Exceptional attention to detail and organizational skills * Creative problem-solver who thrives on ambiguous questions * Willingness to initiate tasks and perform duties with limited direction JOINING THE SOULCYCLE FAMILY As a member of the SoulCycle family, you will enjoy: * Competitive salary, benefits, and perks/discounts at SoulCycle * Unlimited complimentary rides at all SoulCycle locations * Growth, leadership, and professional development opportunities The salary range for this position is $100K to $110K. ## Additional Information The responsibilities and duties of this position described here are representative of those an employee must perform. This is not a comprehensive list and other duties may be assigned.", "summaryDescription" : "Senior Analyst / Manager of Data & Analytics at Equinox. Skills: Data & Analytics, Business Intelligence, Data Modeling, Storytelling. Understand business questions. 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Partner with senior stakeholders; Partner with Data Engineering team", "projectManagementSkills" : [ "Manage multiple priorities" ], "domainKnowledge" : "Business performance metrics; Customer behavior analysis", "domainList" : [ "business-performance-metrics", "customer-behavior-analysis" ], "domainSpecificKnowledge" : [ "Business performance metrics", "Customer behavior analysis" ], "toolProficiency" : [ "Looker", "LookML", "Tableau", "Jupyter Notebooks" ], "communicationSkills" : "Translate complex data; Clear recommendations", "documentationSkills" : "Document LookML models", "continuousLearning" : "Growth opportunities; Leadership opportunities; Professional development opportunities", "problemSolvingSkills" : "Problem-solver; Analytical rigor", "outcomesObjectives" : "Drive business forward; Make smarter decisions; Make faster decisions", "qualificationsBasic" : "4 to 6 years of professional experience in analytics, business intelligence, or data engineering, SQL proficiency, Ability to work independently and manage multiple priorities, Exceptional attention to detail and organizational skills", "qualificationsPreferred" : "Expert in proficiency in Python (pandas, matplotlib, etc.), Hands-on experience with Looker/LookML, Familiarity with Tableau, Familiarity with Jupyter Notebooks, Familiarity with GCP/AWS, Experience with predictive modeling or statistical analysis (regression, forecasting) a plus, Creative problem-solver who thrives on ambiguous questions, Willingness to initiate tasks and perform duties with limited direction", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "WHO WE ARE We’re purpose-driven. With every ride, we aim to redefine health and happiness. It’s all about being more than a workout: SoulCycle is a mind-body-soul experience, built on community, love, respect, acceptance, and a lot of fun. It comes to life through the ride, the relationships, and the unparalleled hospitality. And all of that comes from our people. Join us—we’d love to have you. OUR MISSION To foster an open, diverse, & inclusive community – while embracing each unique individual exactly as they are. We empower each other by listening with an open mind, finding ways to learn and grow together, and always nurturing a sanctuary of trust. SoulCycle is seeking a sharp, curious data professional with a passion for turning numbers into narratives and insights into action. If you have a strong foundation in analytics and business intelligence, a deep comfort with SQL, and the ability to move fluidly between data infrastructure and executive-level storytelling, we'd love to hear from you. The Senior Analyst / Manager will be the connective tissue between our data systems and the decisions that drive our business forward. This role is equally focused on the technical work of building and maintaining reliable, scalable data models and dashboards, and the strategic work of surfacing trends, patterns, and opportunities that help SoulCycle make smarter, faster decisions. The ability to own an analysis end-to-end, from pulling the data to presenting the \"so what,\" is essential. The ideal candidate is a proactive, detail-obsessed problem-solver who thrives in ambiguity and knows how to prioritize competing demands without losing rigor or quality. This is a high-impact, high-visibility role that touches every team at SoulCycle, and the right person will be energized by that breadth, not overwhelmed by it. This individual will develop deep expertise in SoulCycle's full data landscape, contribute to our long-term data strategy, and help build a culture of data-driven decision-making across the organization, all while staying close to the day-to-day analytical needs of a fast-moving business. RESPONSIBILITIES * Insights & Recommendations: Partner with cross-functional teams and senior stakeholders to understand business questions, deliver timely analysis, and surface opportunities for data-driven improvement * Visualizations & Dashboarding: Design and maintain ad-hoc and recurring Looker reports; build and monitor key business metrics; proactively identify trends and performance gaps * Data Modeling: Build, optimize, and document LookML models that support scalable, efficient analysis across the organization * Infrastructure & Data Quality: Audit existing dashboards and data sources to identify consolidation opportunities; diagnose and resolve data discrepancies; partner with the Data Engineering team to improve data pipelines and ensure reporting accuracy. Possess a strong instinct for when data doesn't look right and the analytical rigor to trace issues back to their source. * Predictive Modeling: Develop and maintain models that forecast business outcomes, customer behavior, and other key metrics * Subject Matter Expertise: Develop deep familiarity with SoulCycle's full data landscape and contribute to evolving how the business measures performance ## Qualifications * 4 to 6 years of professional experience in analytics, business intelligence, or data engineering * Expert in SQL; proficiency in Python (pandas, matplotlib, etc.) strongly preferred * Hands-on experience with Looker/LookML; familiarity with Tableau, Jupyter Notebooks, and GCP/AWS * Experience with predictive modeling or statistical analysis (regression, forecasting) a plus * Ability to work independently and manage multiple priorities in a fast-paced environment * Strong communicator: able to translate complex data into clear recommendations for both technical and non-technical audiences * Exceptional attention to detail and organizational skills * Creative problem-solver who thrives on ambiguous questions * Willingness to initiate tasks and perform duties with limited direction JOINING THE SOULCYCLE FAMILY As a member of the SoulCycle family, you will enjoy: * Competitive salary, benefits, and perks/discounts at SoulCycle * Unlimited complimentary rides at all SoulCycle locations * Growth, leadership, and professional development opportunities The salary range for this position is $100K to $110K. ## Additional Information The responsibilities and duties of this position described here are representative of those an employee must perform. 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Headquarters 1 (HCA_HQ1)
3161 Michelson Dr. Ste 1900
Irvine, 92612

" ], "timestamp" : "2026-06-16T01:10:37.668", "fingerprint" : "c35d7cf58f4ab7b173b8df7adcd895b6d248695c9107c0bcfedc37096b8d1ae2", "source" : "taleo", "language" : "en", "applyUrl" : "https://hyundaicapital.taleo.net/careersection/ex/jobdetail.ftl?job=114905", "externalId" : "114905", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Irvine", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "33.6856969,-117.8259810" } ], "locationText" : "Irvine, California, United States", "experienceLevel" : "Manager", "remoteFriendly" : false, "rawDescription" : "Who We Are Through our service brands Hyundai Motor Finance, Genesis Finance, and Kia Finance, Hyundai Capital America offers a wide range of financial products tailored to meet the needs of Hyundai, Genesis, and Kia customers and dealerships. We provide vehicle financing, leasing, subscription, and insurance solutions to over 3 million consumers and businesses. Embodying our commitment to grow, innovate, and diversify, we strive to reimagine the customer and dealer experience and launch innovative new products that broaden our market reach. We believe that success comes from within and are proud to support our team members through skill development and career advancement. Hyundai Capital America is an Equal Opportunity Employer committed to creating a diverse and inclusive culture for our workforce. We are a values-driven company dedicated to supporting both internal and external communities through volunteering, philanthropy, and the empowerment of our Employee Resource Groups. Together, we strive to be the leader in financing freedom of movement. We Take Care of Our People Along with competitive pay, as an employee of HCA, you are eligible for: · Medical, dental, and vision plans with no-cost and low-cost options · Annual employer HSA contribution · 401(k) matching and immediate vesting · Vehicle purchase and lease discounts, plus monthly vehicle allowances by job level: o Associate / Sr. Associate: $350 o Manager / Sr. Manager: $600 o Director: $800 o Executive Director: $900 o VP or Above: $1,000 · 100% employer-paid life and disability insurance · No-cost health and wellbeing programs, including a gym benefit · Six weeks of paid parental leave · Paid Volunteer Time Off, plus a company donation to a charity of your choice What to Expect The Marketing Analytics Manager is responsible for delivering actionable insights that drive lifecycle marketing effectiveness, personalization, and performance optimization across owned digital channels. This role partners closely with Marketing, Digital, Product, Finance, and OEM stakeholders to translate complex data into actionable insights that improve customer acquisition, retention, and lifetime value. What You Will Do 1. Cross ‑ Platform Marketing Analytics & Insights · Lead and execute end ‑ to ‑ end measurement strategies for digital marketing programs, across Salesforce Marketing Cloud and Adobe Experience Cloud. · Define and manage KPIs, dashboards, and scorecards for lifecycle marketing, including conversion, retention, renewal, and cross ‑ sell. · Analyze campaign performance to identify optimization opportunities and inform ongoing digital marketing strategies. 2. Journey Analytics & Attribution · Analyze end ‑ to ‑ end customer journeys by integrating Adobe behavioral data with Salesforce campaign and journey execution data. · Design and manage attribution models (e.g., multi ‑ touch, data ‑ driven) to assess marketing impact across channels and touchpoints. · Apply advanced analytics techniques (segmentation, cohort analysis, LTV modeling, propensity scoring) to support targeting and personalization strategies. · Align Adobe Analytics data with Salesforce Marketing Cloud reporting to quantify marketing impact and downstream financial outcomes. · Partner with marketing and UX teams to optimize journey design, cadence, messaging, and experience strategy. 3. Data & Marketing Technology Enablement · Partner with experience teams to ensure reliable data pipelines across platforms such as CRM, web analytics, media platforms, and enterprise data warehouses. · Serve as an analytics stakeholder in marketing technology initiatives (e.g., Salesforce, Adobe, CDPs). · Ensure analytics solutions scale across multiple brands, products, and OEM requirements. 4. Cross ‑ Functional & Executive Partnership · Translate complex cross ‑ platform data into clear insights, narratives, and recommendations tailored to executive, marketing, and operational audiences. · Support marketing investment decisions, lifecycle strategy, and digital experience optimization efforts. · Support strategic initiatives such as new product launches, dealer programs, UX enhancements, and digital transformation efforts. · Act as a trusted advisor to marketing leadership on performance trends, risks, and investment decisions. What You Will Bring · Minimum 5-7 years of progressive experience in marketing analytics, digital analytics, or CRM analytics. · Experience with Salesforce and Adobe technology stacks. · Experience with content marketing, email marketing, and SEO marketing. · Automotive or financial services industries preferred. · Bachelor’s degree in Marketing, Analytics, Business, Statistics or related discipline. · Salesforce or Adobe certification(s) a plus. · MBA a plus. · Strong working knowledge of Salesforce Marketing Cloud, including customer data activation, journey performance, segmentation effectiveness, and attribution across channels. · SQL proficiency with the ability to query, join, and analyze large datasets across enterprise data warehouses and marketing platforms. · Exceptional attention to detail and quality. · Ability to work autonomously and in a team environment. · Excellent verbal and written communication, including presentation skills. · Excellent interpersonal skills to successfully collaborate with cross functional departments. · Strong orientation toward results coupled with reputation for integrity, creativity and good judgment · Must have the ability to challenge, when appropriate, existing practices. · Proficient in Microsoft 365 Suite (Word, Excel, PowerPoint, Outlook, Teams, Copilot). Work Environment Employees in this class are subject to extended periods of sitting, standing, and walking, vision to monitor and moderate noise levels. Work is performed in an at home and office environment. The posted salary range for this job takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; geographic location, and other business and organizational needs. Successful candidates may be hired anywhere in the salary range based on these factors. It is uncommon to hire candidates at or near the top of the range. California Privacy Notice This notice only applies to our applicants who reside in the State of California. The latest version of our Privacy Policy can be found here . This Privacy Policy provides you with notice, at or before the point of collection, about the categories of personal information to be collected from you, the purposes for which your personal information is collected or used, and whether that information is sold or shared, so that you can exercise meaningful control over our use of your personal information. We are providing this notice to comply with the California Consumer Privacy Act of 2018, as amended as amended by the California Privacy Rights Act of 2020 (“CCPA”). If you have any questions about CCPA regarding California residents or HCA team members, please contact the Privacy Team at Privacy2@hcs.com . 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Cross-functional teams", "projectManagementSkills" : [ "Workstream management", "Prioritize tasks", "Delivery timelines" ], "domainKnowledge" : "Data strategy; Data engineering; Analytics; Data transformation; Data warehousing; Data models; Data pipelines; Cloud-native environments; Data architectures; Analytics solutions; Data engineering best practices; Analytics best practices; Version control; Collaborative development; Iterative delivery; Enterprise data transformation", "domainList" : [ "data-strategy", "data-engineering", "analytics", "data-transformation", "data-warehousing", "data-models", "data-pipelines", "cloud-native-environments", "data-architectures", "analytics-solutions", "data-engineering-best-practices", "analytics-best-practices", "version-control", "collaborative-development", "iterative-delivery", "enterprise-data-transformation" ], "domainSpecificKnowledge" : [ "Data strategy", "Data engineering", "Analytics", "Data transformation", "Data warehousing", "Data models", "Data pipelines", "Cloud-native environments", "Data architectures", "Analytics solutions", "Data engineering best practices", "Analytics best practices", "Version control", "Collaborative development", "Iterative delivery", "Enterprise data transformation" ], "toolProficiency" : [ "Snowflake", "Databricks", "Redshift", "Power BI", "Tableau", "Sigma", "Codex", "Claude Code", "Cursor" ], "communicationSkills" : "Client engagement; Stakeholder engagement; Present findings; Present recommendations; Present solution designs", "continuousLearning" : "Continuous learning; Learning new tools; Learning new platforms; Learning analytics techniques", "problemSolvingSkills" : "Problem solvers; Solve complex client challenges", "specialRequirements" : "Flexibility for travel", "outcomesObjectives" : "Deliver real value; Make a true impact; Enable better decision-making", "qualificationsBasic" : "Bachelor's degree in Information Systems, Computer Science, Data Analytics, Engineering, or a related field, 2+ years of relevant experience delivering data, analytics, or data engineering solutions in a consulting or project-based environment, Proficiency in SQL and Python for data transformation, analysis, and pipeline development, Hands-on experience with cloud-based data platforms such as Snowflake, Databricks, Redshift, or similar technologies, Experience building dashboards and reports using BI tools such as Power BI, Tableau, Sigma, or equivalent, Experience working in AI-assisted development environments (e.g., Codex, Claude Code, Cursor) to accelerate and improve code quality, Demonstrated ability to manage workstreams, prioritize tasks, and deliver high-quality, client-facing solutions under tight timelines, Communication skills and comfort engaging with client stakeholders at varying levels of technical depth, Ability to work independently while collaborating effectively within cross-functional teams", "qualificationsPreferred" : "Experience designing data architectures and analytics solutions in cloud-native environments, Familiarity with modern data engineering and analytics best practices, including version control and collaborative development workflows, Exposure to Agile or other iterative delivery methodologies, Experience supporting enterprise data transformation initiatives across finance, operations, or other core business functions, A demonstrated interest in continuously learning new tools, platforms, and analytics techniques", "rawDescription" : "Transform Your Career We deliver unparalleled opportunities for growth and career advancement. Our dynamic, entrepreneurial culture supports your journey every step of the way. Embrace new challenges and deliver real value to some of the world’s most influential Fortune 100 brands, growth companies transforming their industries, and mid-market firms that need help navigating the defining moments of their lifecycle. Work side by side with business leaders to solve complex client challenges and make a true impact. Love what you do as part of a diverse organization committed to collaboration and continuous learning. The Team – Data & Analytics Our Data & Analytics practice is comprised of functional and technical experts across data strategy, data engineering, analytics, and transformation. We help clients maximize the value of their data by designing modern data platforms, building scalable pipelines, and delivering analytics and reporting solutions that enable better decision-making. Our consultants are hands-on problem solvers who partner closely with clients in fast-paced, project-based environments. Your Impact As a Senior Consultant, Data & Analytics, you will: Design and build modern data warehouses and analytics-ready data models Develop scalable, reliable data pipelines using cloud-based data platforms Implement analytics, reporting, and visualization solutions that translate complex data into clear, actionable insights for client stakeholders Partner with client teams to understand business objectives, data challenges, and success metrics through interviews and working sessions Manage discrete project workstreams, balancing technical execution with client communication and delivery timelines Present findings, recommendations, and solution designs to both technical and non-technical audiences Leverage AI-assisted development environments to design, generate, test, and iterate on production-quality analytics and data engineering code Support broader data transformation initiatives, including system implementations, migrations, and modernization efforts Actively participate in internal knowledge sharing, mentoring, and career development activities At a Minimum, You Will Have: Bachelor’s degree in Information Systems, Computer Science, Data Analytics, Engineering, or a related field 2+ years of relevant experience delivering data, analytics, or data engineering solutions in a consulting or project-based environment Strong proficiency in SQL and Python for data transformation, analysis, and pipeline development Hands-on experience with cloud-based data platforms such as Snowflake, Databricks, Redshift, or similar technologies Experience building dashboards and reports using BI tools such as Power BI, Tableau, Sigma, or equivalent Experience working in AI-assisted development environments (e.g., Codex, Claude Code, Cursor) to accelerate and improve code quality Demonstrated ability to manage workstreams, prioritize tasks, and deliver high-quality, client-facing solutions under tight timelines Strong communication skills and comfort engaging with client stakeholders at varying levels of technical depth Ability to work independently while collaborating effectively within cross-functional teams Flexibility for travel, as needed Preferably, You Will Have: Experience designing data architectures and analytics solutions in cloud-native environments Familiarity with modern data engineering and analytics best practices, including version control and collaborative development workflows Exposure to Agile or other iterative delivery methodologies Experience supporting enterprise data transformation initiatives across finance, operations, or other core business functions A demonstrated interest in continuously learning new tools, platforms, and analytics techniques Determining compensation for this role (and others) at Highspring depends upon a wide array of factors including but not limited to the individual’s skill sets, experience and training, licensure and certifications, office location and other geographic considerations, as well as other business and organizational needs. With that said, as required by local law, Highspring believes that the following salary range reasonably estimates the base compensation for an individual hired into this position in geographies that require salary range disclosure to be between the range below. The individual may also be eligible for a variety of bonus and financial incentives based on individual and company performance. Base Compensation Range $76,194—$122,981 USD", "summaryDescription" : "Senior Consultant - Data & Analytics at Highspring. Skills: Data Warehousing, Data Pipelines, Analytics Solutions, Cloud Platforms. Design modern data warehouses. Build modern data warehouses", "postedDate" : "2026-06-15T23:15:28.137", "createdAt" : "2026-06-15T23:15:28.137", "lastUpdated" : "2026-06-16T08:45:12.907", "ingestTimestamp" : "2026-06-15T23:15:28.137", "mongoId" : "6a305107f292fd229cef8636", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 76194, "salaryAnnualMax" : 122981, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Data warehousing", "Data analysis", "Pipeline development", "Dashboard creation", "Report generation", "Code generation", "Code testing", "Code iteration", "Data Warehousing", "Data Pipelines", "Analytics Solutions", "Cloud Platforms", "Data strategy", "Data engineering", "Analytics", "Transformation", "Data modeling", "Data pipelines", "Reporting", "Visualization", "Decision-making", "Client communication", "Project management", "Technical execution", "Solution design", "Code quality", "System implementations", "Migrations", "Modernization", "Workstream 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"Business questions", "Analytical work", "Measurement approaches", "Attribution approach", "Marketing effectiveness", "Analytical quality", "Analytical rigour" ], "hardSkillsList" : [ "Marketing analytics", "Growth analytics", "Customer analytics", "Marketing measurement", "Performance analytics", "Customer acquisition", "Customer engagement", "Experimentation", "Marketing investment", "Measurement", "Attribution", "Multi-channel acquisition", "Marketing effectiveness", "Analytical quality", "Analytical rigour" ], "softSkillsList" : [ "Leadership", "Coaching", "Mentoring" ], "hardSkills" : [ { "name" : "Marketing analytics", "level" : "intermediate" }, { "name" : "Growth analytics", "level" : "intermediate" }, { "name" : "Customer analytics", "level" : "intermediate" }, { "name" : "Marketing measurement", "level" : "intermediate" }, { "name" : "Performance analytics", "level" : "intermediate" }, { "name" : "Customer acquisition", "level" : "intermediate" }, { "name" : "Customer engagement", "level" : "intermediate" }, { "name" : "Experimentation", "level" : "intermediate" }, { "name" : "Marketing investment", "level" : "intermediate" }, { "name" : "Measurement", "level" : "intermediate" }, { "name" : "Attribution", "level" : "intermediate" }, { "name" : "Multi-channel acquisition", "level" : "intermediate" }, { "name" : "Marketing effectiveness", "level" : "intermediate" }, { "name" : "Analytical quality", "level" : "intermediate" }, { "name" : "Analytical rigour", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Coaching" }, { "name" : "Mentoring" } ], "majorSkills" : "Marketing Analytics, Growth Analytics, Customer Analytics, Measurement, Attribution", "majorSkillsList" : [ "Marketing Analytics", "Growth Analytics", "Customer Analytics", "Measurement", "Attribution" ], "coreResponsibilities" : "Partner with senior stakeholders, Solve complex marketing challenges, Solve complex growth challenges, Translate business questions into analytical work, Lead a team of four Analysts, Coach a team of four Analysts, Develop a team of four Analysts, Guide measurement approaches, Build an attribution approach, Define long-term vision, Define long-term strategy, Improve maturity of Marketing Analytics frameworks, Improve maturity of Marketing Analytics processes, Improve maturity of Marketing Analytics capabilities, Influence decisions relating to customer acquisition, Influence decisions relating to growth, Influence decisions relating to marketing effectiveness, Build relationships across teams, Ensure analytical outputs are commercially impactful, Ensure analytical outputs are actionable, Maintain high standards of analytical quality, Maintain high standards of analytical rigour", "teamCollaboration" : "Senior stakeholders; Marketing teams; Growth teams; Analytics teams; Product stakeholders", "domainKnowledge" : "Marketing measurement; Performance analytics; Customer acquisition; CRM; Multi-touch attribution; Marketing mix modelling; Financial services; Fintech", "domainList" : [ "marketing-measurement", "performance-analytics", "customer-acquisition", "crm", "multi-touch-attribution", "marketing-mix-modelling", "financial-services", "fintech" ], "domainSpecificKnowledge" : [ "Marketing measurement", "Performance analytics", "Customer acquisition", "CRM", "Multi-touch attribution", "Marketing mix modelling", "Financial services", "Fintech" ], "problemSolvingSkills" : "Problem solver; Break down complex business questions", "specialRequirements" : "Work from abroad up to 120 days", "outcomesObjectives" : "Inform growth strategy; Inform customer value; Inform investment decisions", "qualificationsBasic" : "Experience in Marketing Analytics, Experience in Growth Analytics, Experience in Customer Analytics, Proven track record of leading analysts, Ability to operate between strategic conversations and analytical detail, Experience improving analytics functions, Build credibility with senior stakeholders", "qualificationsPreferred" : "Background in marketing agency, Background in media agency, Exposure to customer acquisition attribution, Exposure to CRM, Exposure to next best action modelling, Exposure to lifetime value modelling, Experience with multi-touch attribution, Experience with marketing mix modelling, Track record leading analytics transformation, Track record leading maturity improvement programmes, Experience operating in fast growing organisations, Financial services exposure, Fintech exposure, Familiarity with AI enabled analytics approaches, Familiarity with AI enabled analytics tools", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "## Description Our Story Hello there. We’re Zopa. We started our journey back in 2005, building the first ever peer-to-peer lending company. Fast forward to 2020 and we launched Zopa Bank. A bank that listens to what our customers don’t like about finance and does the opposite. We’re redefining what it feels like to work in finance. Our vision for a new era of banking puts people front and centre — we’ve built a business that empowers everyone to aim high, every day, to move finance forward. Find out more about our fantastic offerings at Zopa.com! We’re incredibly proud of our achievements and none of it would be possible without the amazing team here. It’s not just industry awards we’re winning, we’ve also been named in the top three UK’s Most Loved Workplaces. If you embrace unconventional challenges, are unafraid to think differently and are driven to make an outsized impact, you’ll thrive here at Zopa, so join us, and make it count. Want to see us in action? Follow us on Instagram @zopalife Marketing Analytics is becoming an increasingly important capability within the business, and this role will play a key part in shaping what that function looks like over the coming years. This is a really exciting opportunity to join at a pivotal point in the team's evolution. You'll help shape how Marketing, CRM and Growth teams use analytics to make better decisions about customer acquisition, engagement, experimentation and marketing investment, while leading a growing team and influencing decisions that directly impact business growth. Rather than inheriting a fully mature function, you'll help build capability, improve ways of working and establish Marketing Analytics as a strategic capability that informs growth strategy, customer value and investment decisions across the business. ## A day in the life Partner with senior stakeholders to solve complex marketing and growth challenges Translate strategic business questions into analytical work that drives action Lead, coach and develop a team of four Marketing Analysts Guide measurement approaches across acquisition, CRM and growth activity Build a strong measurement and attribution approach for an increasingly complex multi-channel acquisition approach Define and champion the long-term vision and strategy for Marketing Analytics, ensuring the function evolves to support Zopa's growth ambitions and changing marketing landscape Improve the maturity of Marketing Analytics frameworks, processes and capabilities Influence decisions relating to customer acquisition, growth and marketing effectiveness Build strong relationships across Marketing, Growth and Analytics teams as well as broader product stakeholders Ensure analytical outputs are commercially impactful and actionable Maintain high standards of analytical quality and rigour ## About you Strong experience in Marketing Analytics, Growth Analytics, Customer Analytics or a closely related field, with an exposure to a broad range of marketing measurement requirements across the funnel Deep domain expertise and understanding of the unique challenges of marketing measurement and performance analytics Proven track record of leading analysts and you enjoy coaching, mentoring and developing teams Ability to operate comfortably between strategic conversations and analytical detail Experience improving the maturity of analytics functions rather than simply maintaining established processes A strong problem solver who can break down complex business questions into practical analytical approaches You can build credibility with senior stakeholders across both marketing and analytics functions You bring enough technical depth to challenge thinking, review analytical approaches and maintain analytical standards Comfortable working in an environment that is still evolving and where there is opportunity to shape the future direction Added bonus: Background in marketing or media agency environments Exposure to customer acquisition attribution, CRM, next best action / lifetime value modelling Experience with multi-touch attribution and marketing mix modelling to enhance effectiveness Track record leading analytics transformation or maturity improvement programmes Experience operating in fast growing organisations where analytics capabilities are still being established Financial services or fintech exposure Familiarity with AI enabled analytics approaches and tools ## Additional Information At Zopa we value flexible ways of working. We value face-to-face collaboration and a good work-life balance. This hybrid role requires you to come to our London office 2-3 days a week. You'll also have the option of working from abroad for up to 120 days a year!* But no matter where you are, we’ll make sure you’ve got everything you need to thrive, both in your work and home life, from day one. *Subject to having the right to work in the country of choice Diversity Statement Zopa is proud to offer a workplace free from discrimination. Diversity of experience, perspectives, and backgrounds leads to better products for our customers and a unique company culture for our people. We are made up of nearly 50 nationalities, have a DE&I forum made up of Zopians wanting to make a difference and we are proud of our culture where everyone can bring their full self to work. Our approach to DE&I is reflected in our hiring process so please let us know if you require any reasonable adjustments. ", "summaryDescription" : "Head of Marketing Analytics at Zopa. Skills: Marketing Analytics, Growth Analytics, Customer Analytics, Measurement, Attribution. Partner with senior stakeholders. Solve complex marketing challenges", "postedDate" : "2026-06-15T16:27:08.498", "createdAt" : "2026-06-15T16:27:08.498", "lastUpdated" : "2026-06-16T11:28:19.177", "ingestTimestamp" : "2026-06-16T03:26:36.991", "mongoId" : "6a30662df292fd229cfaed57", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Marketing analytics", "Growth analytics", "Customer analytics", "Marketing measurement", "Performance analytics", "Customer acquisition", "Customer engagement", "Experimentation", "Marketing investment", "Measurement", "Attribution", "Multi-channel acquisition", "Marketing effectiveness", "Analytical quality", "Analytical rigour", "Leadership", "Coaching", "Mentoring", "Marketing Analytics", "Growth Analytics", "Customer Analytics", "Strategic conversations", "Analytical detail", "Business questions", "Analytical work", "Measurement approaches", "Attribution approach", "CRM", "Multi-touch attribution", "Marketing mix modelling", "Financial services", "Fintech" ], "skillCount" : 32, "jobCategory" : "marketing", "jobSubcategory" : "growth", "seniorityLevel" : "Director", "dataQualityScore" : 1.0, "_score" : 1004.8676, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.97 }, { "id" : "6a2ce86574d8ee00a0a6a957", "title" : "Senior Customer and Product Marketing Manager", "company" : "Replicant", "industry" : "Marketing", "salary" : { "min" : 145000.0, "max" : 210000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Customer and Product Marketing Manager in the US SaaS industry, adjusted for seniority and remote work." }, "location" : "United States", "locations" : [ "United States", "Canada" ], "timestamp" : "2026-06-16T01:34:22.013", "fingerprint" : "7525b67b5c3294507ec0c39ecbb4ad351ee5be1ae9a291cfed8e7b8e38e6f853", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/replicant/4c2a3fd2-95ec-4516-9957-65f7e483c0b1/application", "externalId" : "4c2a3fd2-95ec-4516-9957-65f7e483c0b1", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "coreResponsibilities" : "Develop and execute marketing strategies, Drive customer acquisition, Manage marketing campaigns, Analyze growth metrics, Optimize marketing spend, Develop brand positioning, Conduct market research, Collaborate with product teams", "teamCollaboration" : "Cross-functional teams; Product teams", "domainKnowledge" : "Brand strategy; Customer acquisition; Growth metrics", "domainList" : [ "brand-strategy", "customer-acquisition", "growth-metrics" ], "domainSpecificKnowledge" : [ "Brand strategy", "Customer acquisition", "Growth metrics" ], "outcomesObjectives" : "Achieve customer acquisition targets; Improve growth metrics; Enhance brand positioning", "remoteFriendly" : true, "rawDescription" : "At Replicant, we believe AI should work for people, starting with customer service. That’s why we built a platform that helps contact centers resolve more requests, proactively identify issues, and improve agent performance with AI-powered conversation intelligence and AI agents that act like your best reps. Our AI agents handle millions of calls every month for Fortune 500 companies and high-growth innovators. From processing payments to booking appointments and authenticating users, they help customers get what they need instantly, 24/7. Meanwhile, our real-time conversation insights help contact center leaders coach better and improve every interaction. We’re leading the shift from legacy systems to AI-first service, powered by large language models (LLMs) and designed for enterprise scale, security, and empathy. If you’re excited by the potential of LLMs, voice AI, and building category-defining technology with a kind, ambitious team, you’ll love it here. Replicant is looking for a Senior Product & Customer Marketing Senior Manager to drive industry positioning, solution messaging, customer advocacy, and go-to-market storytelling. This role will combine strategic product marketing responsibilities with customer marketing initiatives to help strengthen pipeline generation, customer engagement, retention, and expansion. The role will work closely with Sales, Engagement Managers, Product Management, and Marketing to connect customer insights, use cases, and success stories to Replicant’s broader go-to-market strategy. What You’ll Do - Industry and Solutions Marketing - Develop industry messaging, solution positioning, and use-case narratives aligned with Replicant’s platform and product strategy. Create vertical-focused content and sales materials that support pipeline generation, expansion opportunities, and strategic customer conversations. - Product Launches and GTM Execution - Lead cross-functional launch planning and execution, including enablement, GTM coordination, and post-launch optimization. Partner closely with Product, Sales, Engagement Managers, and Marketing to drive adoption across existing customers and successfully launch new solutions. - Customer Advocacy and Storytelling - Build and manage customer advocacy initiatives, including customer references, external case studies, internal “pocket stories,” and customer proof points that support Sales and Marketing efforts. - Customer Programs and Engagement - Plan and support customer-facing programs, events, and customer speaking opportunities designed to strengthen customer relationships, engagement, retention, and expansion. - GTM Customer Activation - Partner with Sales and Marketing to prepare customers for sales calls, events, and strategic conversations. Ensure customer stories and insights are effectively integrated into go-to-market initiatives. - Content and Cross-Functional Collaboration - Partner with Brand and Demand Generation to amplify customer and industry narratives across campaigns, launches, and GTM programs. Build content that supports awareness, credibility, pipeline generation, and customer engagement. - Technical and Solution Storytelling - Translate technical and product capabilities into clear customer narratives, industry messaging, and sales content that resonate with technical and business audiences. Partner with Product, Solutions, and GTM teams to communicate complex technology in a credible, customer-focused way. What You'll Bring - Passion for customer storytelling, product marketing, and creating impactful go-to-market programs. - 5+ years of experience in Product Marketing, Customer Marketing, or Solutions Marketing roles within SaaS, AI, or Contact Center technology. - Strong experience developing industry messaging, customer stories, and sales enablement content. - Proven ability to work cross-functionally with Sales, Engagement Manager, and Marketing teams. - Ability to translate complex technical concepts into customer narratives - Excellent verbal and written communication skills with a strong customer-facing presence. - Experience supporting customer advocacy programs, customer events, and reference management. - Strong organizational and project management skills with the ability to manage multiple priorities. - Data-driven mindset with the ability to identify opportunities that support retention, expansion, and pipeline growth. - Ability to thrive in a collaborative, fast-moving environment with strong ownership and accountability. For all full-time employees, we offer: \uD83C\uDF34 In-person connection that counts: company-wide offsites and smaller team gatherings designed to make remote work feel personal \uD83D\uDDA5️ Tech & learning stipend: Conferences, books, courses — interested? We’ll fund them \uD83D\uDCCD Remote by design: We’re distributed — no guilt about life events, we trust you to manage your calendar \uD83C\uDFCB️ Health & wellness: Flexible vacations, paid sabbatical after 5 years, comprehensive benefits, plus a stipend to support your physical and mental well-being \uD83D\uDCB8 Compensation that matches your impact: competitive salaries in the company you’re helping to build \uD83D\uDCC8 Equity with upside: We believe in shared ownership—You’ll own a real piece of a fast-growing AI company Our Values Replicant has three core values. It is critical that everyone who joins the team feels excited and moved by these values as every new team member makes an impact on our culture. Blade Runners: We take ownership and pride to influence the outcomes of our goals. We are successful, and like a Blade Runner, use the tools at our disposal to reach our objectives. We value open and honest communication and proactively seek feedback along the way. We are a company driven to grow and achieve both individually and as a team. Bread Makers: We are humble and strive toward an egalitarian culture. No task is too big or too small. We work together to achieve our goals and develop our company mission. We believe that the whole is greater than the sum of its parts in everything that we do. Självdistans (Self-Distance): Självdistans is Swedish for self-distance. It's the ability to critically reflect on oneself and one's relations from an external perspective. With this in mind, we act with objectivity and always remember that we are not our work. There's no perfect science to growing a team or business, but we trust everyone at Replicant to point out our blind spots and humbly admit their own. Replicant is proud to be an equal opportunity employer. We are committed to fostering an inclusive, diverse and equitable workplace that is built on trust, support and respect. We welcome all individuals and do not discriminate on the basis of gender identity and expression, race, ethnicity, disability, sexual orientation, colour, religion, creed, gender, national origin, age, marital status, pregnancy, sex, citizenship, education, languages spoken or veteran status. Accommodation is available upon request at any point during our recruitment process. If you require an accommodation, please speak to your talent acquisition partner or email us at talent@replicant.ai hr@replicant.ai and we’ll work to meet your needs.", "summaryDescription" : "Senior Customer and Product Marketing Manager at Replicant. Develop and execute marketing strategies. Drive customer acquisition", "createdAt" : "2026-06-14T19:17:22.319", "lastUpdated" : "2026-06-16T01:34:22.013", "ingestTimestamp" : "2026-06-14T19:17:22.319", "mongoId" : "6a2ce86574d8ee00a0a6a957", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 145000, "salaryAnnualMax" : 210000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Brand strategy", "Customer acquisition", "Growth metrics" ], "skillCount" : 3, "jobCategory" : "marketing", "jobSubcategory" : "growth", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 1002.02594, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c694d74d8ee00a0906d9e", "title" : "Paid Analytics Manager", "company" : "Kueski", "industry" : "Marketing", "salary" : { "min" : 750000.0, "max" : 1200000.0, "currency" : "MXN", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Paid Analytics Manager in Mexico's FinTech industry, adjusted for remote work and company size." }, "location" : "Mexico (remote)", "locations" : [ "Mexico (remote)" ], "timestamp" : "2026-06-15T09:16:37.277", "fingerprint" : "05b06f06bb78818f9c4ffc717217f622af7e68e9b515cfbc7047a20cd78ee25b", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/kueski/59fa6576-a336-4531-84ca-5fbd472a126d/application", "externalId" : "59fa6576-a336-4531-84ca-5fbd472a126d", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Mexico", "continent" : "na", "workMode" : "remote" } ], "locationText" : "Mexico", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, GA4, Amplitude, Databricks, Google Tag Manager", "professionalSkills" : [ "Attribution strategy", "Measurement", "Data analysis", "Campaign optimization", "Budget allocation", "Channel mix decisions", "Strategic recommendations", "Data modeling", "Data infrastructure", "Data accuracy", "Data integrity", "Data discrepancies", "Data pipeline reliability", "Event schemas", "Tracking coverage", "Marketing measurement", "Growth metrics", "Brand strategy", "Customer acquisition", "Campaign management" ], "hardSkillsList" : [ "Attribution modeling", "Incrementality measurement", "Geo holdouts", "Intent-to-treat analyses", "Synthetic controls", "Server-to-server integrations", "A/B testing", "Multivariate experiments", "Statistical analysis", "Propensity models", "Machine learning" ], "hardSkills" : [ { "name" : "Attribution modeling", "level" : "intermediate" }, { "name" : "Incrementality measurement", "level" : "intermediate" }, { "name" : "Geo holdouts", "level" : "intermediate" }, { "name" : "Intent-to-treat analyses", "level" : "intermediate" }, { "name" : "Synthetic controls", "level" : "intermediate" }, { "name" : "Server-to-server integrations", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Multivariate experiments", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Propensity models", "level" : "intermediate" }, { "name" : "Machine learning", "level" : "intermediate" } ], "majorSkills" : "Attribution modeling, Marketing analytics, Growth analytics, Data analysis", "majorSkillsList" : [ "Attribution modeling", "Marketing analytics", "Growth analytics", "Data analysis" ], "coreResponsibilities" : "Design attribution models, Implement attribution models, Refine attribution models, Develop framework for second-order effects, Define incrementality measurement approaches, Own attribution methodology decisions, Communicate trade-offs, Lead tracking infrastructure implementation, Lead tracking infrastructure maintenance, Design server-to-server integrations, Implement server-to-server integrations, Audit data discrepancies, Troubleshoot data discrepancies, Manage marketing analytics stack, Evolve marketing analytics stack, Partner with Data Engineering, Partner with Product, Pull data independently, Structure data independently, Analyze data independently, Build analyses, Develop dashboards, Maintain dashboards, Develop reports, Maintain reports, Identify patterns, Identify anomalies, Bring forward recommendations, Correlate marketing activities with business outcomes, Provide strategic inputs, Collaborate with Performance marketing teams, Collaborate with Lifecycle marketing teams, Translate attribution insights, Conduct A/B experiments, Conduct multivariate experiments, Validate attribution assumptions, Improve measurement accuracy, Help forecast marketing budgets, Provide framework for spend allocation, Act as internal expert, Educate teams on best practices, Build shared understanding", "teamCollaboration" : "Marketing teams; Sales teams; Analytics teams; Data Engineering; Product teams; Performance marketing; Lifecycle marketing; Finance teams", "domainKnowledge" : "Buy now, pay later; Online consumer credit; FinTech; Paid social; SEM; Programmatic; Affiliate; CRM; Marketing attribution; Customer journey; Brand awareness; Funnel priming; Downstream conversion; Marketing investments; Last-touch models; Multi-touch models; Tracking systems; Measurement technologies; Privacy-driven changes; Data pipeline; Campaign optimization inputs; Paid media platforms; Web analytics; Behavioral analytics; Digital marketing channels; Measurement challenges; Statistical analysis; Marketing measurement; MMM; Propensity models", "domainList" : [ "buy-now", "pay-later", "online-consumer-credit", "fintech", "paid-social", "sem", "programmatic", "affiliate", "crm", "marketing-attribution", "customer-journey", "brand-awareness", "funnel-priming", "downstream-conversion", "marketing-investments", "last-touch-models", "multi-touch-models", "tracking-systems", "measurement-technologies", "privacy-driven-changes", "data-pipeline", "campaign-optimization-inputs", "paid-media-platforms", "web-analytics", "behavioral-analytics", "digital-marketing-channels", "measurement-challenges", "statistical-analysis", "marketing-measurement", "mmm", "propensity-models" ], "domainSpecificKnowledge" : [ "Buy now, pay later", "Online consumer credit", "FinTech", "Paid social", "SEM", "Programmatic", "Affiliate", "CRM", "Marketing attribution", "Customer journey", "Brand awareness", "Funnel priming", "Downstream conversion", "Marketing investments", "Last-touch models", "Multi-touch models", "Tracking systems", "Measurement technologies", "Privacy-driven changes", "Data pipeline", "Campaign optimization inputs", "Paid media platforms", "Web analytics", "Behavioral analytics", "Digital marketing channels", "Measurement challenges", "Statistical analysis", "Marketing measurement", "MMM", "Propensity models" ], "toolProficiency" : [ "Google Tag Manager", "GA4", "Amplitude", "Databricks", "Data Studio", "Tableau" ], "communicationSkills" : "Translate complex findings; Strategic recommendations; Non-technical stakeholders; Senior leadership", "problemSolvingSkills" : "Troubleshoot data discrepancies; Identify anomalies; Root cause analysis", "outcomesObjectives" : "Optimize investment decisions; Accelerate sustainable growth; Improve signal quality; Reduce data loss; Ensure data accuracy; Ensure data integrity; Improve event schemas; Improve tracking coverage; Improve data pipeline reliability; Push initiatives forward; Improve campaign optimization; Improve measurement accuracy; Allocate spend for maximum ROI", "qualificationsBasic" : "5+ years experience in marketing analytics, 5+ years experience in growth analytics, 5+ years experience in related field, Track record of operating autonomously, Deep technical expertise in tracking implementation, Command of attribution modeling, Developed analytical sensibility for second-order effects, Proficiency in SQL, Experience with web analytics platforms, Experience with behavioral analytics tools, Solid understanding of digital marketing channels, Experience with A/B testing, Experience with statistical analysis, Clear, concise communicator, Detail-oriented and proactive, High standard for data accuracy, Bias toward action", "qualificationsPreferred" : "Experience with Databricks, Experience with Data Studio, Experience with Tableau, Experience with machine learning applied to marketing, Experience with MMM, Experience with propensity models, Mentorship of junior analysts", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "ABOUT KUESKI At Kueski, we're dedicated to improving the financial lives of people in Mexico. Since 2012, we've been the leading buy now, pay later (BNPL) and online consumer credit platform in Latin America, known for our innovative financial services. Our flagship product, Kueski Pay, provides seamless payment solutions for both online and in-store transactions, establishing itself as the preferred option for nearly 30% of Mexico's top e-commerce merchants. Notably, we were the first to introduce BNPL on Amazon Mexico. We're a tech company with a culture geared toward innovation, collaboration, and impact, fostering a strong, diverse, and inclusive workplace. Our commitment to excellence and ethical business practices has earned us multiple industry recognitions. In 2024, we were named one of the World’s Top FinTech Companies by CNBC and recognized as one of the most ethical companies in Mexico by AMITAI. Additionally, we were certified as a Best Place to Work for LGBTQ+ Equality by HRC Equidad MX 2025 and ranked among the Best Companies for Female Talent by EFY. POSITION Kueski is seeking a senior Growth Marketing Analytics leader to own marketing measurement end-to-end from attribution infrastructure and implementation to advanced analysis and strategic recommendations. This role requires a highly autonomous professional who can build scalable analytics frameworks, uncover second-order business impacts beyond standard attribution models, and translate complex data into actionable growth decisions. This role is ideal for an analytical expert who thrives in high-ownership environments, enjoys connecting marketing activities to business outcomes, and can partner cross-functionally with marketing, sales, and analytics teams to optimize investment decisions and accelerate sustainable growth. KEY RESPONSABILITIES ATTRIBUTION STRATEGY & MEASUREMENT - Design, implement, and continuously refine marketing attribution models across all channels, ensuring they reflect the true complexity of the customer journey. - Develop a framework to identify and account for second-order effects initiatives whose impact on brand awareness, funnel priming, or downstream conversion isn't directly attributable but is strategically significant. - Define incrementality measurement approaches (geo holdouts, intent-to-treat analyses, synthetic controls) to evaluate the true causal impact of marketing investments beyond last-touch or even multi-touch models. - Own attribution methodology decisions and communicate trade-offs clearly to stakeholders and leadership. TECHNICAL IMPLEMENTATION & DATA INFRASTRUCTURE - Lead the implementation and maintenance of tracking infrastructure: pixel setup, tag management (Google Tag Manager or equivalent), and event tracking across web and app. - Design and implement server-to-server (S2S) integrations to improve signal quality, reduce data loss from browser restrictions, and enhance campaign optimization inputs for paid media platforms. - Audit and troubleshoot data discrepancies across tracking systems, ensuring data accuracy and integrity end-to-end. - Manage and evolve the marketing analytics stack (GA4, Amplitude, third-party attribution tools, Databricks) and stay current on emerging measurement technologies and privacy-driven changes. - Partner with Data Engineering and Product to improve event schemas, tracking coverage, and data pipeline reliability. DATA ANALYSIS & SELF-SUFFICIENT INSIGHT GENERATION - Pull, structure, and analyze your own data independently building the analyses needed to reach conclusions and push initiatives forward, without relying on others to surface information. - Develop and maintain dashboards and reports that give clear, actionable visibility into campaign performance, channel ROI, and attribution trends. - Identify patterns and anomalies proactively; bring forward recommendations with a clear point of view, not just observations. - Use advanced analytics to correlate marketing activities with business outcomes, providing the strategic inputs needed for budget allocation and channel mix decisions. CAMPAIGN OPTIMIZATION & CROSS-FUNCTIONAL IMPACT - Collaborate with Performance and Lifecycle marketing teams to translate attribution insights into concrete campaign optimizations. - Conduct A/B and multivariate experiments to validate attribution assumptions and improve measurement accuracy over time. - Help forecast marketing budgets based on attribution data and provide a clear framework for where to allocate spend for maximum ROI. - Act as the internal expert on attribution and measurement educating teams on best practices and building shared understanding across marketing, data, and finance. JOB REQUIREMENTS - 5+ years of experience in marketing analytics, growth analytics, or a closely related field, with a strong track record of operating autonomously on complex, end-to-end projects. - Deep technical expertise in tracking implementation: tag management (GTM or equivalent), pixel setup, event tracking across web and mobile, and server-to-server integrations for campaign signal optimization. - Strong command of attribution modeling: multi-touch, data-driven, and incrementality-based approaches with the ability to articulate the limitations of each and when to apply them. - Developed analytical sensibility for second-order effects: able to reason about indirect, non-attributable contributions of marketing initiatives and incorporate that thinking into budget and strategy recommendations. - Proficiency in SQL and at least one BI/analytics tool (Databricks, Data Studio, Tableau, or equivalent); able to independently extract and model data without relying on data teams for every pull. - Experience with web analytics platforms (GA4, Adobe Analytics) and behavioral analytics tools (Amplitude or equivalent). - Solid understanding of digital marketing channels and their specific measurement challenges including paid social, SEM, programmatic, affiliate, and CRM. - Experience with A/B testing and statistical analysis applied to marketing measurement. - Clear, concise communicator: able to translate complex analytical findings into strategic recommendations for non-technical stakeholders and senior leadership. - Detail-oriented and proactive, with a high standard for data accuracy and a bias toward action - experience with statistical modeling, machine learning applied to marketing (e.g., MMM, propensity models), and mentorship of junior analysts. DIVERSITY & INCLUSION At Kueski we embrace diversity in all forms, systematically promote equity, and ensure everyone feels included with a sense of belonging. We are committed to the full inclusion of all qualified candidates. As part of this commitment, we will make efforts to ensure reasonable accommodations are made during the hiring process. If reasonable accommodation is needed, please let the Talent Acquisition team know.", "summaryDescription" : "Paid Analytics Manager at Kueski. Skills: Attribution modeling, Marketing analytics, Growth analytics, Data analysis. Design attribution models. Implement attribution models", "createdAt" : "2026-06-14T04:56:09.184", "lastUpdated" : "2026-06-15T09:16:37.277", "ingestTimestamp" : "2026-06-14T04:56:09.184", "mongoId" : "6a2c694d74d8ee00a0906d9e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Attribution modeling", "Incrementality measurement", "Geo holdouts", "Intent-to-treat analyses", "Synthetic controls", "Server-to-server integrations", "A/B testing", "Multivariate experiments", "Statistical analysis", "Propensity models", "Machine learning", "Marketing analytics", "Growth analytics", "Data analysis", "Attribution strategy", "Measurement", "Campaign optimization", "Budget allocation", "Channel mix decisions", "Strategic recommendations", "Data modeling", "Data infrastructure", "Data accuracy", "Data integrity", "Data discrepancies", "Data pipeline reliability", "Event schemas", "Tracking coverage", "Marketing measurement", "Growth metrics", "Brand strategy", "Customer acquisition", "Campaign management", "Buy now, pay later", "Online consumer credit", "FinTech", "Paid social", "SEM", "Programmatic", "Affiliate", "CRM", "Marketing attribution", "Customer journey", "Brand awareness", "Funnel priming", "Downstream conversion", "Marketing investments", "Last-touch models", "Multi-touch models", "Tracking systems", "Measurement technologies", "Privacy-driven changes", "Data pipeline", "Campaign optimization inputs", "Paid media platforms", "Web analytics", "Behavioral analytics", "Digital marketing channels", "Measurement challenges", "MMM", "Google Tag Manager", "GA4", "Amplitude", "Databricks", "Data Studio", "Tableau" ], "skillCount" : 66, "jobCategory" : "marketing", "jobSubcategory" : "growth", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 981.7677, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.97 }, { "id" : "6a2c8c8274d8ee00a0975aff", "title" : "Manager, Business Analytics (Brand Marketing)", "company" : "WHOOP", "industry" : "Business Intelligence & Analytics", "salary" : { "min" : 150000.0, "max" : 180000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Boston, MA", "locations" : [ "Boston, MA" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T04:27:07.554", "fingerprint" : "6931dc9359b135e65b48f779af0c4a2c4e1750bdb93d2fb3c98f776d6452db71", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/whoop/40c78e07-7ff0-4811-bcfa-f65426bf30cf/application", "externalId" : "40c78e07-7ff0-4811-bcfa-f65426bf30cf", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Boston", "state" : "Massachusetts", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "42.3588336,-71.0578303" } ], "locationText" : "Boston, Massachusetts, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 6, "experienceLevel" : "Manager", "technicalSkills" : "SQL, Python, R, Scala, Spark, Dbt, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Dbt Cloud, Delta Lake, AWS, S3, Glue, SageMaker, Athena, GCP, Vertex AI, Azure, Synapse, ML Studio, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, Tableau, Power BI, Looker", "professionalSkills" : [ "Data engineering", "Machine learning", "Business intelligence", "Analytics engineering", "Quantitative analysis" ], "hardSkillsList" : [ "Statistical methods", "Regression", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference" ], "hardSkills" : [ { "name" : "Statistical methods", "level" : "intermediate" }, { "name" : "Regression", "level" : "intermediate" }, { "name" : "Classification", "level" : "intermediate" }, { "name" : "Clustering", "level" : "intermediate" }, { "name" : "Time-series analysis", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" } ], "majorSkills" : "Data science, Data engineering, ML/AI, Business intelligence", "majorSkillsList" : [ "Data science", "Data engineering", "ML/AI", "Business intelligence" ], "coreResponsibilities" : "Develop and maintain data pipelines, Build and optimize data models, Design and implement ETL/ELT processes, Develop and deploy machine learning models, Create and maintain BI dashboards and reports, Perform statistical analysis and A/B testing, Collaborate with engineering teams, Ensure data quality and integrity, Mentor junior analysts and engineers", "teamCollaboration" : "Cross-functional teams; Engineering teams; Product teams; Marketing teams", "domainKnowledge" : "Brand marketing; Consumer behavior; Marketing analytics", "domainList" : [ "brand-marketing", "consumer-behavior", "marketing-analytics" ], "domainSpecificKnowledge" : [ "Brand marketing", "Consumer behavior", "Marketing analytics" ], "toolProficiency" : [ "Dbt", "Fivetran", "Airflow", "Dbt Cloud", "Snowflake", "BigQuery", "Redshift", "Databricks", "Delta Lake", "AWS", "GCP", "Azure", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM", "Hugging Face", "MLflow", "Tableau", "Power BI", "Looker" ], "communicationSkills" : "Present findings; Communicate insights", "documentationSkills" : "Document data models; Document processes", "problemSolvingSkills" : "Analytical skills", "qualificationsBasic" : "5+ years experience, SQL proficiency, Bachelor's degree", "qualificationsPreferred" : "PhD preferred, GCP Professional Data Engineer, AWS Data Analytics, Databricks Certified, Dbt Certified", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "RESPONSIBILITIES: - - Own the end-to-end brand measurement strategy across awareness, consideration, perception, and upper-funnel impact, ensuring alignment with WHOOP’s broader growth objectives. - Build and execute a “test and learn” measurement roadmap aligned to Brand Media goals, driving continuous optimization and learning. - Lead measurement efforts across media effectiveness, brand health, and consumer behavior to inform investment decisions and future planning. - Oversee integrated campaign performance analysis across media channels, creative assets, and downstream business metrics, connecting brand spend to member growth and long-term value. - Demonstrate strong command of media concepts, metrics, and media plan execution, serving as a thought partner to the Brand and Media teams. - Evaluate and manage external brand media data partners, identifying innovative approaches to strengthen WHOOP’s measurement capabilities. - Translate survey data, media performance, web behavior, and conversion trends into clear, executive-ready insights and recommendations. - Manage, mentor, and develop analysts, fostering a culture of analytical rigor, strong storytelling, and high performance. QUALIFICATIONS: - - 6+ years of experience in Analytics, with direct experience in a consumer business preferred. - A self-serve player-coach; able to take broad business questions, wrangle appropriate data, quickly isolate and model key insights, visualize results and communicate actionable recommendations. - Clear, concise communicator with a bias for action. - Demonstrated success in influencing senior stakeholders on strategic direction based on data-driven insights. - Proficiency in SQL; experience with dbt, Snowflake and/or similar platforms. - Highly adept at leveraging AI tools to increase efficiency and quality of work. - Experience leading and developing a team, including driving large projects and mentoring junior analysts. This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office. Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply. WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/to determine employment eligibility The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values. At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success. The U.S. base salary range for this full-time position is $150,000 - $180,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training. In addition to the base salary, the successful candidate will also receive benefits and a generous equity package. These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.", "summaryDescription" : "Manager, Business Analytics (Brand Marketing) at WHOOP. Skills: Data science, Data engineering, ML/AI, Business intelligence. Develop and maintain data pipelines. Build and optimize data models", "createdAt" : "2026-06-14T20:17:14.299", "lastUpdated" : "2026-06-16T04:27:07.554", "ingestTimestamp" : "2026-06-14T20:17:14.299", "mongoId" : "6a2c8c8274d8ee00a0975aff", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 150000, "salaryAnnualMax" : 180000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Statistical methods", "Regression", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference", "Data science", "Data engineering", "ML/AI", "Business intelligence", "Machine learning", "Analytics engineering", "Quantitative analysis", "Brand marketing", "Consumer behavior", "Marketing analytics", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Dbt", "Fivetran", "Airflow", "Dbt Cloud", "Snowflake", "BigQuery", "Redshift", "Databricks", "Delta Lake", "AWS", "GCP", "Azure", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM", "Hugging Face", "MLflow", "Tableau", "Power BI", "Looker" ], "skillCount" : 43, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "_score" : 972.8299, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Sports & Fitness", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c93eb74d8ee00a0989441", "title" : "Staff Marketing Analytics", "company" : "SolarWinds", "industry" : "Technology", "salary" : { "min" : 135000.0, "max" : 195000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Staff Marketing Analytics role in Austin, TX, adjusted for the technology industry and company size." }, "location" : "Austin Office", "locations" : [ "Austin Office" ], "timestamp" : "2026-06-15T23:02:35.510", "fingerprint" : "8bb02cccaf03748c96e63226413958bfdd8bf78ac3831652d99379a72c690f1e", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://jobs.solarwinds.com/job-detail/?gh_jid=4572021005&gh_jid=4572021005", "externalId" : "4572021005", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Austin", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "30.2711286,-97.7436995" } ], "locationText" : "Austin, Texas, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, Python, R, Tableau, Power BI, Looker, Snowflake, BigQuery, Redshift, Databricks, Dbt, Fivetran, Airflow, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, GCP, Azure", "professionalSkills" : [ "Marketing analytics", "Data modeling", "Statistical analysis", "Experiment design", "Data storytelling" ], "hardSkillsList" : [ "Marketing analytics", "SQL", "Data visualization", "A/B testing", "Statistical modeling", "Machine learning" ], "hardSkills" : [ { "name" : "Marketing analytics", "level" : "intermediate" }, { "name" : "SQL", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Statistical modeling", "level" : "intermediate" }, { "name" : "Machine learning", "level" : "intermediate" } ], "majorSkills" : "Marketing analytics, Data visualization, Statistical modeling, Machine learning", "majorSkillsList" : [ "Marketing analytics", "Data visualization", "Statistical modeling", "Machine learning" ], "coreResponsibilities" : "Develop and maintain marketing analytics dashboards, Analyze marketing campaign performance, Design and execute A/B tests, Provide insights and recommendations to marketing teams, Collaborate with data engineering to ensure data quality, Build predictive models for customer behavior, Stay updated on industry trends and best practices", "teamCollaboration" : "Marketing teams; Data engineering", "domainKnowledge" : "Marketing analytics; Customer behavior; Campaign performance", "domainList" : [ "marketing-analytics", "customer-behavior", "campaign-performance" ], "domainSpecificKnowledge" : [ "Marketing analytics", "Customer behavior", "Campaign performance" ], "toolProficiency" : [ "SQL", "Tableau", "Power BI", "Looker", "Snowflake", "BigQuery", "Redshift", "Databricks", "Dbt", "Fivetran", "Airflow", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM", "Hugging Face", "MLflow" ], "communicationSkills" : "Data storytelling; Executive presentations", "documentationSkills" : "Technical documentation", "continuousLearning" : "Professional development", "problemSolvingSkills" : "Root cause analysis; Data-driven decision making", "outcomesObjectives" : "Improve marketing ROI; Optimize campaign spend; Enhance customer segmentation", "qualificationsBasic" : "5+ years of experience in marketing analytics, Proficiency in SQL, Experience with data visualization tools, Experience with A/B testing", "qualificationsPreferred" : "Master's degree preferred, Experience with Python or R, Experience with statistical modeling, Experience with cloud data platforms, Experience with ML frameworks", "rawDescription" : "At SolarWinds, we’re a people-first company. Our purpose is to enrich the lives of the people we serve—including our employees, customers, shareholders, partners, and communities. Join us in our mission to help customers accelerate business transformation with simple, powerful, and secure solutions. The ideal candidate thrives in an innovative, fast-paced environment and is collaborative, accountable, ready, and empathetic. We’re looking for individuals who believe they can accomplish more as a team and create lasting growth for themselves and others. We hire based on attitude, competency, and commitment. Solarians are ready to advance our world-class solutions in a fast-paced environment and accept the challenge to lead with purpose. If you’re looking to build your career with an exceptional team, you’ve come to the right place. Join SolarWinds and grow with us! Role Summary SolarWinds, a leader in IT management software, is seeking a Staff Marketing Analytics professional to join our Marketing Analytics team. This highly visible role partners closely with senior marketing leaders to translate complex data into actionable business strategies that drive growth and optimize marketing performance. The ideal candidate combines deep marketing analytics expertise with strong executive presence, business acumen, and intellectual curiosity. Success in this role requires the ability to influence cross-functional stakeholders, present insights with clarity to leadership audiences, and connect analytical findings to strategic business outcomes. Location: Austin, TX (3 days in office) Relocation assistance is not available for this role. Key Responsibilities Partner with marketing leadership to evaluate weekly and monthly performance against company objectives, identify trends, and recommend actions to improve results. Serve as a strategic thought partner to senior stakeholders by translating data into clear business insights and executive-ready recommendations. Identify critical business data needs and convert them into well-defined requirements for analytics and data engineering teams to develop scalable solutions. Analyze customer behavior and marketing performance across the full funnel by combining data from platforms such as Adobe Analytics, Marketo, Salesforce, and Tableau. Drive continuous improvement of Conversion Rate Optimization (CRO) initiatives through A/B test measurement, experiment analysis, and data-driven recommendations. Conduct ad hoc analyses and deep dives to uncover opportunities, risks, and strategic insights. Present complex analytical findings to both technical and non-technical audiences, tailoring recommendations appropriately for executives, marketers, and cross-functional partners. Influence decision-making by balancing analytical rigor with practical business considerations. Required Qualifications 5+ years of experience in marketing analytics with demonstrated impact on business performance. Deep understanding of marketing analytics, including: Data capture and integration across marketing technologies, Attribution and ROI measurement, Performance reporting, Translating analytical outputs into business recommendations. Proven experience partnering with senior leaders and cross-functional stakeholders, with the confidence and executive presence to influence decisions. Strong business acumen and intellectual curiosity, with the ability to ask thoughtful questions and connect analytics to broader organizational goals. Exceptional communication and storytelling skills, including experience presenting insights and recommendations to executive audiences. Minimum 2 years of recent experience with Tableau, Power BI, or comparable visualization tools. Minimum 2 years of recent experience with Adobe Analytics, Google Analytics, or similar web analytics platforms. Strong analytical and problem-solving skills with experience using SQL, Python, R, or comparable tools for data exploration and analysis. SQL preferred. Excellent attention to detail, documentation practices, data validation, and self-audit capabilities. Preferred Strong executive presence and polished communication skills. Experience influencing and partnering with senior leadership teams. The ability to synthesize complex analyses into clear, actionable recommendations. Solid business judgment and comfort navigating cross-functional environments. Intellectual curiosity and a proactive approach to uncovering opportunities through data. A consultative mindset focused on driving outcomes, not simply reporting metrics. SolarWinds is an Equal Employment Opportunity Employer. SolarWinds will consider all qualified applicants for employment without regard to race, color, religion, sex, age, national origin, sexual orientation, gender identity, marital status, disability, veteran status or any other characteristic protected by law. All applications are treated in accordance with the SolarWinds Privacy Notice: https://www.solarwinds.com/applicant-privacy-notice", "summaryDescription" : "Staff Marketing Analytics at SolarWinds. Skills: Marketing analytics, Data visualization, Statistical modeling, Machine learning. Develop and maintain marketing analytics dashboards. Analyze marketing campaign performance", "postedDate" : "2026-06-14T20:13:46.732", "createdAt" : "2026-06-14T20:13:46.732", "lastUpdated" : "2026-06-15T23:02:35.510", "ingestTimestamp" : "2026-06-14T20:13:46.732", "mongoId" : "6a2c93eb74d8ee00a0989441", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 135000, "salaryAnnualMax" : 195000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Marketing analytics", "SQL", "Data visualization", "A/B testing", "Statistical modeling", "Machine learning", "Data modeling", "Statistical analysis", "Experiment design", "Data storytelling", "Customer behavior", "Campaign performance", "Tableau", "Power BI", "Looker", "Snowflake", "BigQuery", "Redshift", "Databricks", "Dbt", "Fivetran", "Airflow", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM", "Hugging Face", "MLflow" ], "skillCount" : 29, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "_score" : 970.62714, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2ca42974d8ee00a09b06c1", "title" : "Senior Data / Analytics Engineer", "company" : "Metro Vein Centers", "industry" : "Healthcare", "salary" : { "min" : 150000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "West Bloomfield, Michigan, United States", "locations" : [ "West Bloomfield", "Michigan", "United States" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T00:08:33.890", "fingerprint" : "c7d74f7b3f5b9e144d0e12e1191ebf69a4b087a5101032152837ca84c9251e4b", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/metroveincenters/jobs/4249713009", "externalId" : "4249713009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" }, { "workMode" : "remote" } ], "locationText" : "New York, New York, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, Python, R, Scala, Spark, Dbt, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Dbt Cloud, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, SageMaker, Athena, GCP, Vertex AI, Azure, Synapse, ML Studio", "professionalSkills" : [ "Quantitative analysis", "Data engineering", "Machine learning", "Business intelligence", "Analytics engineering", "Statistical modeling" ], "hardSkillsList" : [ "Regression analysis", "Classification modeling", "Clustering analysis", "Time-series forecasting", "A/B testing", "Causal inference" ], "hardSkills" : [ { "name" : "Regression analysis", "level" : "intermediate" }, { "name" : "Classification modeling", "level" : "intermediate" }, { "name" : "Clustering analysis", "level" : "intermediate" }, { "name" : "Time-series forecasting", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" } ], "majorSkills" : "Data engineering, Machine learning, Business intelligence, Analytics engineering", "majorSkillsList" : [ "Data engineering", "Machine learning", "Business intelligence", "Analytics engineering" ], "coreResponsibilities" : "Develop and maintain data pipelines, Build and optimize data models, Design and implement ETL/ELT processes, Develop and deploy machine learning models, Create and maintain BI dashboards and reports, Perform data analysis and generate insights, Collaborate with stakeholders to understand data needs, Ensure data quality and integrity, Stay updated with emerging data technologies", "teamCollaboration" : "Cross-functional teams; Stakeholders", "domainKnowledge" : "Data science; Data engineering; Machine learning; Business intelligence; Analytics engineering; Quantitative analysis; Cloud data stacks; ML frameworks; BI platforms; Statistical methods; Modelling skills", "domainList" : [ "data-science", "data-engineering", "machine-learning", "business-intelligence", "analytics-engineering", "quantitative-analysis", "cloud-data-stacks", "ml-frameworks", "bi-platforms", "statistical-methods", "modelling-skills" ], "domainSpecificKnowledge" : [ "Data science", "Data engineering", "Machine learning", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Cloud data stacks", "ML frameworks", "BI platforms", "Statistical methods", "Modelling skills" ], "toolProficiency" : [ "Tableau", "Power BI", "Looker", "Metabase", "Superset", "Qlik", "MicroStrategy" ], "qualificationsBasic" : "5+ years of experience, SQL proficiency, Bachelor's degree in Statistics, Computer Science, Mathematics, or related field", "qualificationsPreferred" : "PhD preferred, GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified certification, Dbt Certified certification, Experience with specific ML frameworks, Experience with cloud platforms", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Metro Vein Centers is a rapidly growing healthcare practice specializing in state-of-the-art vein treatments. Our board-certified physicians and expert staff are on a mission to improve people’s quality of life by relieving the painful, yet highly treatable symptoms of vein disease—such as varicose veins and heavy, aching legs. With over 60 clinics across 7 states, and still growing, we’re building the future of vein care—delivering compassionate, results-driven care in a modern, patient-first environment. We proudly maintain a Net Promoter Score (NPS) of 93, the highest patient satisfaction in the industry. Location: NYC preferred or Remote | Full-time Experience: 5-8+ years in analytics engineering, modern data stack architecture, or data platform engineering Compensation: $150,000 DOE + bonus About Us Metro Vein Centers is a rapidly expanding healthcare organization with 70+ clinics across 8 states. We are a highly data-driven business operating at the intersection of healthcare, performance marketing, operations, and technology. As the organization has scaled rapidly, so has the complexity of our data ecosystem. We are now entering the next phase of maturity: building a scalable, governed, AI-ready data foundation that can support the future growth of the business. We are looking for a Senior Analytics Engineer to help lead that evolution. About the Role This is a foundational role within the Tech & Data organization, reporting directly to the Director of Tech & Data. You will help modernize and scale our data architecture across marketing, operations, finance, sales, and clinical systems while maintaining continuity for existing reporting, analytics, and business operations. This role is ideal for someone who thrives in high-growth environments and enjoys bringing structure, reliability, governance, and scalability to complex and evolving data ecosystems. You will play a central role in rebuilding and organizing our data foundation, establishing standards and architecture patterns, improving transformation and modeling practices, and helping create a modern healthcare data platform designed for long-term scale and AI-enabled workflows. This is not a pure backend engineering role. We are looking for someone who combines strong analytics engineering and warehouse architecture experience with practical business judgment and modern data stack expertise. What You’ll Own Data Architecture & Modernization Help design and implement a scalable modern data architecture within Google BigQuery Rebuild and organize fragmented data structures into standardized, maintainable models Establish naming conventions, modeling standards, lineage, and governance frameworks Help separate and structure sensitive vs non-sensitive data appropriately in a HIPAA-conscious environment Partner with leadership to define long-term warehouse and transformation architecture strategy Improve scalability and maintainability without disrupting existing business operations Analytics Engineering & Data Modeling Own and expand our dbt transformation layer and modeling practices Build clean, scalable transformation pipelines and business logic layers Create reliable curated datasets for analytics, reporting, operational workflows, and AI initiatives Standardize KPI logic and reduce duplicated transformation logic across systems Develop testing, QA, and documentation standards for data models and pipelines Improve data quality, observability, and reliability across the warehouse Data Pipelines & Platform Operations Build, maintain, and optimize ingestion and transformation pipelines across internal and third-party systems Work across platforms including: Google BigQuery dbt Fivetran Portable Improvado HubSpot Tableau Google Cloud Platform Troubleshoot pipeline failures, schema drift, integration issues, and data discrepancies Improve monitoring, documentation, and operational stability across the data stack AI-Ready Data Infrastructure Help build structured, reliable, AI-ready datasets and systems Partner with Tech & Data leadership on long-term AI infrastructure readiness Support future AI-enabled workflows, automation initiatives, and operational tooling Contribute to scalable data design practices that support evolving AI use cases across the business Cross-Functional Collaboration Partner closely with analysts, marketing, operations, finance, and technology stakeholders Support analysts by improving foundational data models and reducing engineering burden on analytics resources Collaborate with IT and leadership on governance, access, and long-term platform maturity Participate in architectural planning and technical roadmap discussions What You Bring Required Experience 5-8+ years in analytics engineering, data engineering, or modern data stack environments Strong expertise in SQL and warehouse-based data transformation workflows Hands-on experience with dbt and modern ETL workflows Deep experience working within Google BigQuery or comparable cloud data warehouses Proficiency with SFTP-based file transfer workflows, including key-based authentication, scheduled transfers, and error handling Experience designing scalable data models and transformation layers Experience working with complex operational and business systems data Strong understanding of data governance, documentation, testing, and QA practices Experience building and maintaining production-grade data pipelines Strong systems thinking and architectural judgment Ability to balance long-term architecture improvements with short-term operational stability Preferred Experience Experience with: Fivetran Portable Improvado Tableau HubSpot Google Cloud Platform Experience in healthcare or HIPAA-conscious environments Experience supporting marketing, operational, or revenue-focused analytics ecosystems Familiarity with AI-enabled data workflows and AI-ready platform design Experience helping mature or rebuild fragmented data environments Familiarity with Jira and collaborative technical project management workflows What Success Looks Like Within 12 months, this person will have helped: Establish scalable architecture and modeling standards across the warehouse Mature and expand the dbt transformation layer Improve documentation, lineage, governance, and data reliability Organize fragmented datasets into scalable, maintainable structures Improve separation and governance of sensitive vs non-sensitive data Reduce operational friction and engineering burden across the analytics ecosystem Build a more scalable and AI-ready data foundation for the future growth of the organization What We Offer Competitive compensation and bonus structure High ownership and autonomy Opportunity to help shape the long-term data architecture of a rapidly scaling organization Smart, collaborative, highly driven teammates Direct impact on operational performance, growth, and patient experience Opportunity to help build the next generation of healthcare data infrastructure and AI enablement at scale Benefits to Support Your Wellbeing & Lifestyle Full-time team members at Metro Vein Centers are eligible for: Medical, Dental, and Vision Insurance 401(k) Paid Time Off (PTO) + Paid Company Holidays Company-Paid Life Insurance Short-Term Disability Insurance Employee Assistance Program (EAP) Career Growth & Development Opportunities Compensation for this role varies based on years of experience, skill set, and alignment with position requirements. Compensation: $150,000—$150,000 USD The Metro Vein Centers Difference Healthy legs. Happier lives. At Metro Vein Centers, we believe exceptional care begins with an exceptional experience. Our mission is to make vein care approachable, empowering, and connected to overall well-being. From the first conversation to the final follow-up, every patient interaction reflects our commitment to compassion, expertise, and trust. A team united by purpose. Our values guide everything we do: Patients First, Always – Every interaction should make our patients feel valued, heard, and cared for. Stronger Together – Teamwork and collaboration drive our success. We lift each other up to deliver the best for our patients. A Can-Do Spirit – We meet every challenge with positivity, flexibility, and problem-solving energy. Results That Make a Difference – We’re driven to improve lives through meaningful, measurable outcomes. Commitment to Growth – We invest in our people, fostering advancement and professional development at every level. Metro Vein Centers is an Equal Opportunity Employer. We’re committed to creating a workplace where everyone feels seen, heard, and supported. We do not discriminate based on race, color, religion, sex, national origin, age, disability, genetics, gender identity or expression, sexual orientation, veteran status, or any other protected status in accordance with applicable federal, state, and local laws. This policy applies to all aspects of employment, including recruitment, hiring, promotion, compensation, benefits, and termination. Legal & Compliance Notice: Metro Vein Centers complies with all applicable federal, state, and local employment laws, including those related to nondiscrimination, equal opportunity, and pay transparency. Where specific disclosures or postings are required by law, we provide this information as part of our hiring process or upon request. Your privacy matters. To learn more about how we collect, use, and protect your information, please review our privacy policy here.", "summaryDescription" : "Senior Data / Analytics Engineer at Metro Vein Centers. Skills: Data engineering, Machine learning, Business intelligence, Analytics engineering. Develop and maintain data pipelines. Build and optimize data models", "postedDate" : "2026-06-14T19:16:23.010", "createdAt" : "2026-06-14T19:16:23.010", "lastUpdated" : "2026-06-16T00:08:33.890", "ingestTimestamp" : "2026-06-14T19:16:23.010", "mongoId" : "6a2ca42974d8ee00a09b06c1", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 150000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Regression analysis", "Classification modeling", "Clustering analysis", "Time-series forecasting", "A/B testing", "Causal inference", "Data engineering", "Machine learning", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Statistical modeling", "Data science", "Cloud data stacks", "ML frameworks", "BI platforms", "Statistical methods", "Modelling skills", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Tableau", "Power BI", "Looker", "Metabase", "Superset", "Qlik", "MicroStrategy" ], "skillCount" : 29, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "_score" : 968.3454, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2ca3ba74d8ee00a09ad615", "title" : "Data Analytics Manager", "company" : "Hasbro", "location" : "United States", "locations" : [ "United States" ], "timestamp" : "2026-06-15T10:13:43.590", "fingerprint" : "259771a41afffa415d14f4530898ec10a1175559576952377e5c4e411be76c58", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/hasbro/jobs/4249885009", "externalId" : "4249885009", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "onsite" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor", "experienceMinYears" : 7, "experienceLevel" : "Manager", "technicalSkills" : "R, Python, SQL", "professionalSkills" : [ "Knowledge of and familiarity with games such as Magic: The Gathering." ], "hardSkillsList" : [ "R", "Python", "SQL" ], "softSkillsList" : [ "Self-directed, attention to detail" ], "hardSkills" : [ { "name" : "R", "level" : "intermediate" }, { "name" : "Python", "level" : "intermediate" }, { "name" : "SQL", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Self-directed, attention to detail" } ], "majorSkills" : "Data Analysis, Team Leadership, SQL, R, Python", "majorSkillsList" : [ "Data Analysis, Team Leadership, SQL, R, Python" ], "coreResponsibilities" : "Analyze profitability opportunities related to pricing, inventory, play, and revenue recognition. Build models to explore different business strategies and identify areas of growth. Communicate findings to partners using clear visuals and concise communication. Handle ad-hoc queries from leadership and partner with them to strategize about the business. Lead a team of 3-5 other data analysts.", "teamCollaboration" : "Collaborate with product strategy, sales, finance, business strategy, and economics. Partner with economists and financial analysts. Incorporate stakeholder feedback into analytics. Work with technical teams to evaluate and communicate data needs. Lead a team of 3-5 other data analysts.", "projectManagementSkills" : [ "drive projects to completion", "prioritize stakeholder requests" ], "communicationSkills" : "clear visuals; concise communication; communicate data needs", "documentationSkills" : "document processes", "continuousLearning" : "Identify opportunities for new projects, using existing tools in new ways, using existing data differently, and generally to demonstrating the value of data.", "problemSolvingSkills" : "pricing; inventory; revenue recognition; business strategies; areas of growth", "outcomesObjectives" : "Support the strategy of our worldwide teams making and build your career.", "qualificationsBasic" : "Bachelor's degree in finance, business, data science, economics, or another quantitative field. 7+ years of relevant work experience, including at least 2 years of experience leading a team. Experience using R, python, or similar tools to conduct data analysis. Working knowledge of SQL. Self-directed, ability to drive projects to completion and proactively communicate timelines and document processes. Impeccable attention to detail.", "qualificationsPreferred" : "Graduate degree is a plus.", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "We take play seriously. We’re looking for curious adventurers ready to find their party, fueled by imagination and drive to build what’s never been built before. At Hasbro and Wizards of the Coast, you’ll collaborate with passionate teams to reimagine our iconic brands and create experiences that spark joy, connection, and community through the magic of play. This is your chance to shape legendary play that lasts a lifetime. At Wizards of the Coast, we connect people around the world through play and imagination. From our genre-defining games like Magic: The Gathering® and Dungeons & Dragons® to our growing multiverse, we continue to innovate and build new ways to foster friendship and connection. That's where you come in! This role will partner closely with product strategy, sales, finance, business strategy, and economics to support Magic: The Gathering's growth! Through your reporting and insights, you will support the strategy of our worldwide teams making and build your career. What You'll Do: Analyze - Work with business partners to deep dive into profitability opportunities related to pricing, inventory, play, and revenue recognition. Iterate quickly to refine work and meet deadlines. Model - Build models to explore different business strategies and identify areas of growth. Partner with economists and financial analysts to reconcile revenue numbers. Communicate - Explain findings to partners using clear visuals and concise communication. Incorporate stakeholder feedback into analytics so your team's work is usable, useful, and used. Collaborate - Handle ad-hoc queries from leadership and partner with them to strategize about the business. Prioritize stakeholder requests to put limited resources towards high impact tasks. Work with technical teams to evaluate and communicate data needs and ensure the right data is available. Cultivate - Lead a team of 3-5 other data analysts, identifying opportunities for your team to shine and grow. Identify opportunities for new projects, using existing tools in new ways, using existing data differently, and generally to demonstrating the value of data. What You'll Bring: Bachelor's degree in finance, business, data science, economics, or another quantitative field. Graduate degree is a plus. 7+ years of relevant work experience, including at least 2 years of experience leading a team. Experience using R, python, or similar tools to conduct data analysis. Working knowledge of SQL. Self-directed, ability to drive projects to completion and proactively communicate timelines and document processes. Impeccable attention to detail. Knowledge of and familiarity with games such as Magic: The Gathering. We are an Equal Opportunity Employer Hasbro is committed to equality of opportunity in all aspects of employment. We are committed to making all employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, marital status, or any other legally protected status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. If you have a disability and require assistance in this application process and need to request an accommodation, please contact your recruiter or coordinator. #WIZARDS The pay transparency range for this role is listed below. The hiring range will vary based on factors such as experience, skills, location and market conditions. Additionally, employees may be eligible for annual and long-term incentives as part of their overall compensation package. Pay Range $125,900—$188,900 USD Employees may be eligible for annual and long-term incentives as part of their overall compensation package, depending on role, location, and eligibility. Benefits and programs may include: Health & Wellness Time Off to Recharge Financial Well-being Life & Family Support Volunteer and Community Initiatives Learning & Development Exclusive Perks Please review our Applicant Privacy Notice to learn how we collect, use, and protect your personal information in connection with the application process.", "summaryDescription" : "Data Analytics Manager at Hasbro. Skills: Data Analysis, Team Leadership, SQL, R, Python. Analyze profitability opportunities related to pricing, inventory, play, and revenue recognition. Build models to explore different business strategies and identify areas of growth. Communicate findings to partners using clear visuals and concise communication. Handle ad-hoc queries from leadership and partner with them to strategize about the business. Lead a team of 3-5 other data analysts.", "postedDate" : "2026-06-14T18:44:24.507", "createdAt" : "2026-06-14T18:44:24.507", "lastUpdated" : "2026-06-15T10:13:43.590", "ingestTimestamp" : "2026-06-14T18:44:24.507", "mongoId" : "6a2ca3ba74d8ee00a09ad615", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "hasSalary" : false, "allSkills" : [ "R", "Python", "SQL", "Self-directed, attention to detail", "Data Analysis, Team Leadership, SQL, R, Python", "Knowledge of and familiarity with games such as Magic: The Gathering.", "drive projects to completion", "prioritize stakeholder requests" ], "skillCount" : 8, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "_score" : 966.52893, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "E-Commerce", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2cb00c74d8ee00a09d8a24", "title" : "Marketing Analytics Lead", "company" : "Hostinger", "industry" : "Revenue & Data", "salary" : { "min" : 6000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : false }, "location" : "Vilnius", "locations" : [ "Vilnius", "Kaunas" ], "timestamp" : "2026-06-15T21:50:22.493", "fingerprint" : "7ad60b110ab202f295d93dc2e4bf703557a4149ef2e51d0f4a2b9324d731f9cf", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/hostinger/c29a806f-503f-47a8-9ac7-cf3b6b0c1abd/application", "externalId" : "c29a806f-503f-47a8-9ac7-cf3b6b0c1abd", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Vilnius", "country" : "Lithuania", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "54.6870458,25.2829111" } ], "locationText" : "Vilnius, Lithuania", "employmentType" : "FULL_TIME", "experienceMinYears" : 8, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "technicalSkills" : "SQL, Tableau", "professionalSkills" : [ "Data analysis", "Business decisions", "Stakeholder management" ], "hardSkillsList" : [ "Data analytics", "Data visualization" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "Data analytics", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "Marketing analytics, Team building, Data-driven decision making", "majorSkillsList" : [ "Marketing analytics", "Team building", "Data-driven decision making" ], "coreResponsibilities" : "Set standard for data-driven decision-making, Uphold standard for data-driven decision-making, Ensure marketing strategies are backed by data, Ensure marketing decisions are backed by data, Lead execution of marketing analytics projects, Translate raw data into growth opportunities, Build a team, Hire analysts, Onboard analysts, Mentor analysts, Inspire analysts, Foster a culture, Collaborate with marketing leaders, Align analytical roadmaps with goals, Take ownership of delivery lifecycle, Refine complex requirements, Prioritize backlog, Ensure working on highest impact bets, Iterate on team setup, Iterate on ways of work, Integrate AI, Integrate emerging technologies, Test decentralised leadership concepts, Go full agile, Reinvent the playbook", "teamCollaboration" : "Collaborate with marketing leaders; Collaborate across seniority levels; Bridge gap between technical colleagues; Bridge gap between non-technical colleagues", "projectManagementSkills" : [ "Agile" ], "domainKnowledge" : "Marketing fundamentals; Marketing attribution concepts", "domainList" : [ "marketing-fundamentals", "marketing-attribution-concepts" ], "domainSpecificKnowledge" : [ "Marketing fundamentals", "Marketing attribution concepts" ], "toolProficiency" : [ "Tableau" ], "continuousLearning" : "Access to Reforge; Access to Scribd; Global conferences; Physical libraries; Digital libraries; Mentoring through TesoXchange", "innovationCreativity" : "Integrate AI; Integrate emerging technologies; Test decentralised leadership concepts; Go full agile; Reinvent the playbook", "problemSolvingSkills" : "Data analysis; Translate complex data", "qualificationsBasic" : "Proven hiring skills, Proven onboarding skills, Proven leadership skills, Extensive hands-on data analytics experience, Proficiency in SQL, Proficiency in data visualization tools, Business acumen, Stakeholder management experience", "qualificationsPreferred" : "Knowledge of marketing attribution concepts, Interest in marketing attribution concepts, Tableau proficiency", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "Join Hostinger, and we’ll grow fast! \uD83D\uDE80 We’re shaping the future of online success - powered by AI and driven by people. With 900+ talented professionals and over 5 million clients in 150 countries, we help creators and entrepreneurs bring their ideas to life faster and easier than ever before. Our mission: To provide tools that help individuals and small businesses succeed online faster and easier. Our culture: Guided by 10 company principles https://www.hostinger.com/principles. Our formula for success: Customer obsession, innovative products, and talented teams. As a Marketing Analytics Lead, you won’t just support our marketing analytics strategy - you will create and implement it. You will build and empower a team of high-caliber analysts to transform complex datasets into competitive intelligence that fuels our global growth. By owning the standard for data-driven decision-making, you will raise the bar for speed, precision and impact across Hostinger's multi-channel operation - from Affiliates and Influencers to PPC and Organic. Sounds like an exciting challenge? Let us meet and discuss how you can help scale Hostinger even further. Your day-to-day - Set and uphold the standard for data-driven decision-making, ensuring our marketing strategies and decisions are backed by data. - Lead the execution of marketing analytics projects, translating raw data into growth opportunities. - Build a team better than yourself - hire, onboard, mentor and inspire a squad of high-performing analysts, fostering a culture where technical mastery intersects curiosity and drive. - Collaborate directly with marketing leaders (Affiliates, Influencers, PPC, SEO, Product Marketing Managers and other) to align analytical roadmaps with our goals. - Take full ownership of delivery lifecycle - from refining complex requirements to prioritizing the backlog, constantly ensuring we're always working on the highest impact bets. - Keep on iterating in terms of team setup and ways of work - integrate AI or other emerging technologies, test decentralised leadership concepts or go full agile - freedom to reinvent the playbook. Your skills and experience - Proven hiring, onboarding and leadership skills with a track record of building environments where people perform at their peak. - A relentless drive for achieving ambitious goals through data analysis, together with uncompromising standards for quality and speed of delivery. - Solid understanding of marketing fundamentals, data signatures of different channels and marketing attribution concepts (or a strong willingness and interest to learn). - Extensive hands-on data analytics experience, with proficiency in SQL & data visualization tools (we use Tableau). - Strong business acumen with a proven track record of translating complex data into impactful business decisions. - Stakeholder management experience - ability to collaborate effectively across different seniority levels and bridge the gap between technical and non-technical colleagues. - An innovative, results-oriented attitude that constantly seeks to improve processes, team setup and outcomes. Benefits for you - \uD83D\uDE80 360 Growth: We provide limitless learning opportunities https://www.hostinger.com/blog/learning-culture: access to platforms like Reforge and Scribd, global conferences, physical and digital libraries, feedback culture https://www.hostinger.com/blog/reaching-your-peak, and mentoring through TesoXchange https://tesoxchange.com/. Advance your career with internal mobility and grow with a team eager to share knowledge and support your success. - \uD83C\uDFAF Freedom & responsibility: Work on your terms: from modern offices in Kaunas, Vilnius, or Indonesia, the comfort of home, or anywhere in the world. Enjoy flexibility in managing your schedule and bring your ideas to life in a fast-paced, dynamic environment. - \uD83D\uDCAAWellness simplified: Your health comes first with insurance from Day 1, gym memberships, recharge leave, and regular health checks. Join sports, arts, and hobby clubs or simply enjoy the balance of a lifestyle that prioritizes wellness. - \uD83C\uDF89 Work hard - play hard: Celebrate your achievements with company events like Summerfest https://www.youtube.com/watch?v=W-R7mLEwk6Q&ab_channel=HostingerUnfiltered & Winterfest https://www.linkedin.com/posts/hostinger_party-venicecarnival-celebration-activity-7284893033827823616-1mWO/?utm_source=share&utm_medium=member_desktop, Town Hall, Meet the Client initiatives, team-buildings, and workations. Enjoy access to the Žalgiris Arena VIP Lounge and celebrate life’s big moments with milestone gifts for weddings, new parenthood, and graduations. Compensation - Gross salary starting from 6000 EUR/month, depending on your experience and skills. We’re always looking for experienced talent to raise the bar. If you’re excited about the role but the listed salary range doesn’t align with your expectations, we still encourage you to apply - we’re open to adjusting compensation based on the impact and value you bring. Get ready to take your personal and professional growth to new heights! Join Hostinger today and be part of our journey \uD83D\uDE80 Three. Two. Onboard", "summaryDescription" : "Marketing Analytics Lead at Hostinger. Skills: Marketing analytics, Team building, Data-driven decision making. Set standard for data-driven decision-making. Uphold standard for data-driven decision-making", "createdAt" : "2026-06-14T18:18:50.138", "lastUpdated" : "2026-06-15T21:50:22.493", "ingestTimestamp" : "2026-06-14T18:32:22.631", "mongoId" : "6a2cb00c74d8ee00a09d8a24", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Data analytics", "Data visualization", "Leadership", "Mentoring", "Marketing analytics", "Team building", "Data-driven decision making", "Data analysis", "Business decisions", "Stakeholder management", "Agile", "Marketing fundamentals", "Marketing attribution concepts", "Tableau" ], "skillCount" : 14, "jobCategory" : "marketing", "jobSubcategory" : "growth", "seniorityLevel" : "Lead", "dataQualityScore" : 0.8888889, "_score" : 962.2273, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c7a9f74d8ee00a09461bc", "title" : "Senior Data Engineer, Analytics", "company" : "Apptegy", "salary" : { "min" : 75000.0, "max" : 110000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Senior Data Engineer in Bulgaria, adjusted for the education industry and remote work." }, "location" : "Remote", "locations" : [ "Remote" ], "timestamp" : "2026-06-16T01:07:32.467", "fingerprint" : "c9f0d7724af62856f1ed343299fb842e9002d35bf5ef0272120603b1c229b42a", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.apptegy.com/careers/?gh_jid=4202928009", "externalId" : "4202928009", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Who We Are At Apptegy, we are more than a tech company; we are partners dedicated to transforming how schools communicate and shape the future of education. Your work here will directly empower districts to share their stories, engage their communities, and celebrate student success. We're a team of thoughtful, high-performing individuals committed to making a tangible impact. If you're looking for a dynamic environment where you'll be supported with exceptional mentorship and resources to grow your career, come build with us. The Role As a Senior Data Engineer at Apptegy, you’ll play a key role in shaping the architecture, performance, and scalability of our platform. This role is a unique hybrid that bridges traditional application development with data engineering. You will be responsible for building and scaling our analytics and data platform. You will own the delivery of reliable, high-performing software and data systems, working primarily with our Ruby on Rails backend services, while building efficient data pipelines to transfer and transform data from PostgreSQL to Snowflake. This role is ideal for an engineer who thrives in a fast-paced environment and enjoys building systems from the ground up that provide meaningful, real-time insights to educators and students. What You’ll Do Technical Execution relevant certifications (AWS Certified Solutions Architect Associate, AWS Certified Data Engineer) are a plus Database Technologies: Experience with database technologies (e.g., RDS/Aurora PostgreSQL, Snowflake). Experience replicating data via Change Data Capture (CDC) from PostgreSQL to Snowflake. Semantic Layers: Familiarity with Semantic reporting layers and headless BI frameworks (e.g., Cube.dev) to support consistent, scalable in-product analytics. DevOps & Infrastructure: Knowledge of DevOps practices and tools (e.g., Terraform, CI/CD, Docker, Kubernetes). AI-Enhanced Development & Testing: Proficiency in leveraging AI coding assistants (e.g., Cursor, Claude Code) to accelerate code generation, refactoring, and the development of robust unit and integration tests across the full stack (Vue.js, Ruby on Rails). Industry Experience: Experience in the education technology sector. Why Apptegy Join a team that’s committed to your success. At Apptegy, we’re passionate about creating an environment where you can do your best work and find true fulfillment. We believe in investing in our people—both professionally and personally—because your well-being drives our collective impact. US Employee Benefits: Comprehensive medical, dental, vision, and life insurance coverage Retirement 401(k) with employer match Health Savings Accounts (HSA) and Flexible Spending Accounts (FSAs) Mental Health Reimbursement Unlimited paid time off, including seasonal (December) company-wide time off Paid parental and medical leave MX Employee Benefits: Private medical insurance for you and your dependents Life insurance 15 days Aguinaldo Vales de Despensa Fondo de Ahorro Caja de Ahorro Flexible paid time off policy Paid travel to/from Little Rock, Arkansas for Onboarding. Apptegy champions the thoughtful integration of AI to empower our teams and processes. As we seek to understand your individual capabilities and how you might contribute, we ask that all responses to application questions and during interviews are genuinely your own. Please refrain from using AI generation tools, as our aim is to assess your authentic voice and expertise. Equal Opportunity Employer Apptegy is an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, national origin, age, protected veteran or disabled status, or genetic information.", "summaryDescription" : "Senior Data Engineer, Analytics at Apptegy", "postedDate" : "2026-06-14T19:09:39.312", "createdAt" : "2026-06-14T19:09:39.312", "lastUpdated" : "2026-06-16T01:07:32.467", "ingestTimestamp" : "2026-06-14T19:09:39.312", "mongoId" : "6a2c7a9f74d8ee00a09461bc", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 953.44, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Education", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2ca53574d8ee00a09b5361", "title" : "Senior / Product Manager, Data Analytics (SC)", "company" : "GovTech", "industry" : "Government", "salary" : { "min" : 120000.0, "max" : 180000.0, "currency" : "SGD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Product Manager in Singapore, adjusted for the government industry and GovTech's size." }, "location" : "SC Singapore Customs", "locations" : [ "SC Singapore Customs" ], "timestamp" : "2026-06-16T05:08:43.229", "fingerprint" : "5a0beac348aff143992e7089dc3c99cafcb4ccef61799bebea78af25f25efb7f", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://jobs.careers.gov.sg/jobs/greenhouse/4001679201?gh_jid=4001679201", "externalId" : "4001679201", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Singapore", "country" : "Singapore", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "1.2899175,103.8519072" } ], "locationText" : "Singapore, Singapore", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 3, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "majorSkills" : "Product strategy, Roadmap, User stories", "majorSkillsList" : [ "Product strategy", "Roadmap", "User stories" ], "coreResponsibilities" : "Focus on product strategy, Develop product roadmap, Define user stories, Collaborate cross-functionally", "teamCollaboration" : "Cross-functional collaboration", "projectManagementSkills" : [ "Product management" ], "rawDescription" : "GovTech is the lead agency driving Singapore’s Smart Nation initiatives and public sector digital transformation. As the Centre of Excellence for Infocomm Technology and Smart Systems (ICT & SS), GovTech develops the Singapore Government’s capabilities in Data Science & Artificial Intelligence, Application Development, Smart City Technology, Digital Infrastructure, and Cybersecurity. At GovTech, we offer you a purposeful career to make lives better where we empower our people to master their craft through robust learning and development opportunities all year round. Learn more about GovTech at tech.gov.sg. A product manager to manage an analytics and AI system for Singapore Customs. Job Summary As a Product Manager at GovTech, you will play a pivotal role in transforming government services through data-driven insights. You will bridge the gap between business needs and technical solutions, leveraging data analytics to identify opportunities for improvement, optimize processes, and enhance decision-making across various government initiatives. Job Responsibilities Collaborate with various government agencies and stakeholders to understand their business processes, challenges, and data requirements. Translate complex business problems into clear, actionable data analytics requirements and user stories. Perform in-depth data analysis using various analytical tools and techniques to identify trends, patterns, and insights from large datasets. Develop and implement data visualization dashboards and reports to communicate key findings and recommendations to both technical and non-technical audiences. Evaluate the effectiveness of digital services and initiatives using data-driven metrics and provide recommendations for optimization. Work closely with data engineers, data scientists, and developers to ensure the successful implementation of data solutions. Conduct stakeholder interviews, workshops, and user acceptance testing (UAT) to validate solutions and ensure they meet business needs. Stay abreast of industry best practices in data analytics, business intelligence, and digital government. Contribute to the continuous improvement of GovTech's data analytics capabilities and frameworks. Job Qualifications Bachelor's degree in Information Systems, Computer Science, Business Analytics, Statistics, Economics, or a related quantitative field. Minimum of 3 years of experience as a Product Manager, with a strong focus on data analytics projects. Proficiency in data manipulation and analysis tools (e.g., SQL, Python, R). Experience with data visualization tools (e.g., Tableau, Power BI, QlikView). Strong understanding of data warehousing concepts, ETL processes, and data modeling. Excellent analytical, problem-solving, and critical thinking skills. Ability to effectively communicate complex technical concepts to non-technical stakeholders. Proven ability to work independently and collaboratively in a fast-paced environment. Experience in the public sector or with government digital services projects is a plus. Familiarity with agile methodologies is advantageous. As a product manager, you will also have to plan and manage product budget, schedule, backlogs, vendors and stakeholders. The job scope include Overall incharge of the product development writing paper for funding drafting contracts document, calling tender when required and conducting tender evaluation with a group of appointed working group overall incharge of managing security implementation and ensuring governance in compliance with the government and the agency's security policies and guidelines. overall incharge of any audits conducted on the product that include the ICT implementation and security controls, funding and procurement aspect. organising meetings manage contracts and cntractors scan market for latest technology to scale the product liaise with product vendors/ principals including inviting suitable product vendors to demonstrate and present their product to product owners and stakeholders, plan adoption of the product after obtaining endorsement from stakeholders work with a team of data engineers, software engineer and sdata analysts to ensure product implementation and scaling manage budget and schedule to meet the target We are an equal opportunity employer and value diversity at our company as we believe that diversity is meaningful to innovation. Our employee benefits are based on a total rewards approach, offering a holistic and market-competitive suite of perks. This includes generous leave benefits to meet your work-life needs. We trust that you will get the job done wherever you are, and whatever works best for you – so work from home or take a break to exercise if you need to*. We also believe it’s important for you to keep honing your craft in the constantly-evolving tech landscape, so we provide and support a plethora of in-house and external learning and development opportunities all year round. Subject to the nature of your job role that might require you to be onsite during fixed hours.", "summaryDescription" : "Senior / Product Manager, Data Analytics (SC) at GovTech. Skills: Product strategy, Roadmap, User stories. Focus on product strategy. Develop product roadmap", "postedDate" : "2026-06-14T18:37:01.807", "createdAt" : "2026-06-14T18:37:01.807", "lastUpdated" : "2026-06-16T05:08:43.229", "ingestTimestamp" : "2026-06-14T18:37:01.807", "mongoId" : "6a2ca53574d8ee00a09b5361", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Product strategy", "Roadmap", "User stories", "Product management" ], "skillCount" : 4, "jobCategory" : "product", "jobSubcategory" : "product_management", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "_score" : 942.931, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Government", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305930f292fd229cf45a2b", "title" : "Senior Manager, BizOps & Analytics", "company" : "Jerry.ai", "industry" : "Data", "salary" : { "min" : 170000.0, "max" : 210000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "Los Angeles, California", "locations" : [ "Los Angeles, California", "Chicago, Illinois", "Raleigh, North Carolina", "Nashville, Tennessee", "Phoenix, Arizona", "Salt Lake City, Utah", "Dallas, Texas" ], "timestamp" : "2026-06-16T11:06:24.166", "fingerprint" : "3e583796a4114120c70de5ecb005ee37a57b8bb329271ad79356efbda59ea4eb", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/Jerry.ai/f5b49cbf-fee1-4f56-b35d-2d76897383f0/application", "externalId" : "f5b49cbf-fee1-4f56-b35d-2d76897383f0", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Los Angeles", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "34.0536909,-118.2427660" } ], "locationText" : "Los Angeles, California, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "technicalSkills" : "Excel, SQL, Python", "professionalSkills" : [ "First principles thinking", "Problem solving" ], "hardSkillsList" : [ "Data analysis", "Data interpretation", "Data structuring" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Data interpretation", "level" : "intermediate" }, { "name" : "Data structuring", "level" : "intermediate" } ], "majorSkills" : "BizOps, Analytics, Data insights", "majorSkillsList" : [ "BizOps", "Analytics", "Data insights" ], "coreResponsibilities" : "Define business questions, Push back on flawed questions, Define metrics, Build reports, Run analyses, Design experiments, Surface data insights, Bring recommendations to counterparts, Explain what is happening, Explain why it is happening, Recommend next steps", "teamCollaboration" : "Embedded in business units; Counterparts in product; Counterparts in growth; Counterparts in finance; Counterparts in operations", "domainKnowledge" : "Car insurance; Driving insights; Car maintenance; Car repairs; Home insurance; Motorcycle insurance; RV insurance", "domainList" : [ "car-insurance", "driving-insights", "car-maintenance", "car-repairs", "home-insurance", "motorcycle-insurance", "rv-insurance" ], "domainSpecificKnowledge" : [ "Car insurance", "Driving insights", "Car maintenance", "Car repairs", "Home insurance", "Motorcycle insurance", "RV insurance" ], "toolProficiency" : [ "SQL", "Metabase", "Python", "Jupyter Hub", "GitHub" ], "communicationSkills" : "Direct communication; Write clearly; Speak precisely; Get buy-in quickly", "problemSolvingSkills" : "Break ambiguous problems; Formulate hypotheses", "outcomesObjectives" : "Grow from 5M to 50M customers; Become $10B business in 4 years", "qualificationsBasic" : "6+ years consulting experience, 6+ years investment bank experience, 6+ years high-growth tech experience, Analytical ability to pull data, Analytical ability to structure data, Analytical ability to interpret data, Track record owning ambiguous problems, Track record delivering impact, Clear communicator, Persuasive communicator, Influence decisions at leadership level", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "Why We Exist Your car and your home are your most important assets, yet the experience of owning them is stuck in the 90s. Every part of the journey — buy/sell, insurance, maintenance, repairs — is fragmented, complicated, and expensive. Jerry.ai http://Jerry.ai is building the first app to manage it all. We started with car insurance in 2019, became one of the top 3 brokers in the U.S., then added driving insights, diagnostics, and a repair marketplace. We've reached 5M+ customers, raised $240M+, scaled revenue 70X, and became profitable in early 2024. We're now expanding into adjacent verticals (e.g. home, motorcycle, RV, etc) to become the one-stop-shop for all your physical assets. Why We’re Hiring Our BizOps & Analytics team has been a force multiplier and accelerant to our business that has helped us reach these pivotal milestones in spite of headwinds and within a highly competitive market. They are a team of former McKinsey, BCG and Bain consultants who drive data & insights, and inform decision-making across every corner of our business. They are analytical powerhouses and first principles problem solvers who push forward our most important initiatives across product, growth, tech, and operations. Every business unit has a BizOps team member embedded within it — someone who doesn't just run analyses and build dashboards, but shapes what questions we should ask, what data to pull, what conclusions to draw, what decisions to make, and then drives our teams towards our next goal: go from 5M to 50M customers and become a $10B business in the next 4 years. As our business continues to expand, there is growing demand for more BizOps team members. We are hiring 4-6 people to drive impact in these areas: - Growth Marketing - Product Development - AI & Automation - Strategic Partnerships On leveling: You may see job ads for this role at different job levels. Our priority is finding the right people, we can be flexible with job title/leveling. Why You Will (Or Won't) Like Working Here - No slides: If you've worked in consulting, you know what it feels like to be up at 3am reformatting a deck. That doesn't exist here. The only work that gets done at Jerry is work that will materially change the trajectory of our business — an important product, a new growth channel, a key metric, a critical partner relationship, etc. - No corporate fluff: The BizOps & Analytics team is 14 insatiable learners who care deeply about solving difficult problems and making a tangible impact. Every person owns a critical domain. There is no bloat, unnecessary meetings, or waiting for approvals. - Hands-on: This is not a pure strategy role, you will also own execution. Your day-to-day will be surfacing analytical insights, driving decisions, and seeing them through end-to-end. What You'll Own You'll sit on our central BizOps & Analytics team but you’ll be embedded in one of Jerry's core business areas — growth, product, AI and automation, strategic partnerships — and own the analytical function for that business unit end-to-end. - Define the right problems: Before any analysis, understand what business question it's answering and what decision it will inform. Push back if the question is flawed. - Data and insights: Define metrics, build reports, run analyses, design experiments, and surface data insights that move your team's key metrics. - Drive outcomes: Bring recommendations to your counterparts in product, growth, finance or operations, tell them what's happening and why, and what next steps should be. Who You Are - First principles thinker: You break ambiguous problems into clear hypotheses before touching data. You're analytically strong (comfortable with Excel, SQL or Python) but your instinct is to ask \"what are we trying to solve here?\" before jumping to \"what should I build?\" - Direct communicator: You can walk a skeptical stakeholder through a complex finding and get buy-in quickly. You write clearly, speak precisely, and don't bury the lede. - Owner: You act like your name is on the door. If something is broken, you feel responsible for fixing it, even if it’s outside of your swim lane. What You'll Bring - 6+ years of experience at a consulting firm, investment bank, or high-growth technology company. - Strong analytical skills; ability to pull, structure, and interpret data independently. - Track record of owning ambiguous problems and delivering impact. - Clear, persuasive communicator who can influence decisions at the leadership level. Our Tools SQL (Clickhouse), Metabase, Python, Jupyter Hub, GitHub. While we appreciate your interest and application, only applicants under consideration will be contacted. Jerry.ai is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on race, religion, color, national origin, sex, pregnancy, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, or other characteristics protected by applicable local, state or federal laws. Jerry.ai is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at recruiting@jerry.ai recruiting@getjerry.com The successful candidate’s starting pay will fall within the pay range listed on this job posting, determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation may include opportunities for equity grants. We offer a comprehensive benefits package to regular employees, including health, dental, and vision coverage, paid time off, paid parental leave, 401(K) plan with employer matching, and wellness benefits, among others. Equity opportunities may also be part of your total rewards package. Part-time, contract, or freelance roles may not be eligible for certain benefits. About Jerry.ai Jerry.ai is America’s first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets. Backed by artificial intelligence and machine learning, Jerry.ai simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We spend every day innovating and improving our AI-powered app to provide the best possible experience for our customers. From car insurance and financing to maintenance and safety, Jerry.ai does it all. We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers — and we’re just getting started. Jerry.ai was founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing. Join our team and work with passionate, curious and egoless people who love solving real-world problems. Help us build a revolutionary product that’s disrupting a massive market.", "summaryDescription" : "Senior Manager, BizOps & Analytics at Jerry.ai. Skills: BizOps, Analytics, Data insights. Define business questions. Push back on flawed questions", "createdAt" : "2026-06-16T00:28:35.206", "lastUpdated" : "2026-06-16T11:06:24.166", "ingestTimestamp" : "2026-06-16T00:28:35.206", "mongoId" : "6a305930f292fd229cf45a2b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 170000, "salaryAnnualMax" : 210000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Data analysis", "Data interpretation", "Data structuring", "BizOps", "Analytics", "Data insights", "First principles thinking", "Problem solving", "Car insurance", "Driving insights", "Car maintenance", "Car repairs", "Home insurance", "Motorcycle insurance", "RV insurance", "SQL", "Metabase", "Python", "Jupyter Hub", "GitHub" ], "skillCount" : 20, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "_score" : 940.2731, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305098f292fd229cef28ed", "title" : "Senior Manager, BizOps & Analytics", "company" : "Jerry.ai", "industry" : "Data", "salary" : { "min" : 170000.0, "max" : 210000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "Los Angeles, California", "locations" : [ "Los Angeles, California", "Chicago, Illinois", "Raleigh, North Carolina", "Nashville, Tennessee", "Phoenix, Arizona", "Salt Lake City, Utah", "Dallas, Texas" ], "timestamp" : "2026-06-16T08:03:57.276", "fingerprint" : "a1cd15acce936a285a1c0c7b67c3eaedb08046b35a48188d2a2bfb115c5ac737", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/jerry.ai/f5b49cbf-fee1-4f56-b35d-2d76897383f0/application", "externalId" : "f5b49cbf-fee1-4f56-b35d-2d76897383f0", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Los Angeles", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "34.0536909,-118.2427660" } ], "locationText" : "Los Angeles, California, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "technicalSkills" : "Excel, SQL, Python", "professionalSkills" : [ "First principles thinking", "Problem solving" ], "hardSkillsList" : [ "Data analysis", "Data interpretation", "Data structuring" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Data interpretation", "level" : "intermediate" }, { "name" : "Data structuring", "level" : "intermediate" } ], "majorSkills" : "BizOps, Analytics, Data insights", "majorSkillsList" : [ "BizOps", "Analytics", "Data insights" ], "coreResponsibilities" : "Define business questions, Push back on flawed questions, Define metrics, Build reports, Run analyses, Design experiments, Surface data insights, Bring recommendations to counterparts, Explain what is happening, Explain why it is happening, Recommend next steps", "teamCollaboration" : "Embedded in business units; Counterparts in product; Counterparts in growth; Counterparts in finance; Counterparts in operations", "domainKnowledge" : "Car insurance; Driving insights; Car maintenance; Car repairs; Home insurance; Motorcycle insurance; RV insurance", "domainList" : [ "car-insurance", "driving-insights", "car-maintenance", "car-repairs", "home-insurance", "motorcycle-insurance", "rv-insurance" ], "domainSpecificKnowledge" : [ "Car insurance", "Driving insights", "Car maintenance", "Car repairs", "Home insurance", "Motorcycle insurance", "RV insurance" ], "toolProficiency" : [ "SQL", "Metabase", "Python", "Jupyter Hub", "GitHub" ], "communicationSkills" : "Direct communication; Clear writing; Precise speaking; Persuasive communication", "problemSolvingSkills" : "First principles problem solving; Analytical problem solving", "outcomesObjectives" : "Grow from 5M to 50M customers; Become a $10B business", "qualificationsBasic" : "6+ years consulting experience, 6+ years investment bank experience, 6+ years high-growth tech experience, Analytical ability to pull data, Analytical ability to structure data, Analytical ability to interpret data, Track record owning ambiguous problems, Track record delivering impact, Clear communicator, Persuasive communicator, Influence decisions at leadership level", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "Why We Exist Your car and your home are your most important assets, yet the experience of owning them is stuck in the 90s. Every part of the journey — buy/sell, insurance, maintenance, repairs — is fragmented, complicated, and expensive. Jerry.ai http://Jerry.ai is building the first app to manage it all. We started with car insurance in 2019, became one of the top 3 brokers in the U.S., then added driving insights, diagnostics, and a repair marketplace. We've reached 5M+ customers, raised $240M+, scaled revenue 70X, and became profitable in early 2024. We're now expanding into adjacent verticals (e.g. home, motorcycle, RV, etc) to become the one-stop-shop for all your physical assets. Why We’re Hiring Our BizOps & Analytics team has been a force multiplier and accelerant to our business that has helped us reach these pivotal milestones in spite of headwinds and within a highly competitive market. They are a team of former McKinsey, BCG and Bain consultants who drive data & insights, and inform decision-making across every corner of our business. They are analytical powerhouses and first principles problem solvers who push forward our most important initiatives across product, growth, tech, and operations. Every business unit has a BizOps team member embedded within it — someone who doesn't just run analyses and build dashboards, but shapes what questions we should ask, what data to pull, what conclusions to draw, what decisions to make, and then drives our teams towards our next goal: go from 5M to 50M customers and become a $10B business in the next 4 years. As our business continues to expand, there is growing demand for more BizOps team members. We are hiring 4-6 people to drive impact in these areas: - Growth Marketing - Product Development - AI & Automation - Strategic Partnerships On leveling: You may see job ads for this role at different job levels. Our priority is finding the right people, we can be flexible with job title/leveling. Why You Will (Or Won't) Like Working Here - No slides: If you've worked in consulting, you know what it feels like to be up at 3am reformatting a deck. That doesn't exist here. The only work that gets done at Jerry is work that will materially change the trajectory of our business — an important product, a new growth channel, a key metric, a critical partner relationship, etc. - No corporate fluff: The BizOps & Analytics team is 14 insatiable learners who care deeply about solving difficult problems and making a tangible impact. Every person owns a critical domain. There is no bloat, unnecessary meetings, or waiting for approvals. - Hands-on: This is not a pure strategy role, you will also own execution. Your day-to-day will be surfacing analytical insights, driving decisions, and seeing them through end-to-end. What You'll Own You'll sit on our central BizOps & Analytics team but you’ll be embedded in one of Jerry's core business areas — growth, product, AI and automation, strategic partnerships — and own the analytical function for that business unit end-to-end. - Define the right problems: Before any analysis, understand what business question it's answering and what decision it will inform. Push back if the question is flawed. - Data and insights: Define metrics, build reports, run analyses, design experiments, and surface data insights that move your team's key metrics. - Drive outcomes: Bring recommendations to your counterparts in product, growth, finance or operations, tell them what's happening and why, and what next steps should be. Who You Are - First principles thinker: You break ambiguous problems into clear hypotheses before touching data. You're analytically strong (comfortable with Excel, SQL or Python) but your instinct is to ask \"what are we trying to solve here?\" before jumping to \"what should I build?\" - Direct communicator: You can walk a skeptical stakeholder through a complex finding and get buy-in quickly. You write clearly, speak precisely, and don't bury the lede. - Owner: You act like your name is on the door. If something is broken, you feel responsible for fixing it, even if it’s outside of your swim lane. What You'll Bring - 6+ years of experience at a consulting firm, investment bank, or high-growth technology company. - Strong analytical skills; ability to pull, structure, and interpret data independently. - Track record of owning ambiguous problems and delivering impact. - Clear, persuasive communicator who can influence decisions at the leadership level. Our Tools SQL (Clickhouse), Metabase, Python, Jupyter Hub, GitHub. While we appreciate your interest and application, only applicants under consideration will be contacted. Jerry.ai is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on race, religion, color, national origin, sex, pregnancy, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, or other characteristics protected by applicable local, state or federal laws. Jerry.ai is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at recruiting@jerry.ai recruiting@getjerry.com The successful candidate’s starting pay will fall within the pay range listed on this job posting, determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation may include opportunities for equity grants. We offer a comprehensive benefits package to regular employees, including health, dental, and vision coverage, paid time off, paid parental leave, 401(K) plan with employer matching, and wellness benefits, among others. Equity opportunities may also be part of your total rewards package. Part-time, contract, or freelance roles may not be eligible for certain benefits. About Jerry.ai Jerry.ai is America’s first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets. Backed by artificial intelligence and machine learning, Jerry.ai simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We spend every day innovating and improving our AI-powered app to provide the best possible experience for our customers. From car insurance and financing to maintenance and safety, Jerry.ai does it all. We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers — and we’re just getting started. Jerry.ai was founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing. Join our team and work with passionate, curious and egoless people who love solving real-world problems. Help us build a revolutionary product that’s disrupting a massive market.", "summaryDescription" : "Senior Manager, BizOps & Analytics at Jerry.ai. Skills: BizOps, Analytics, Data insights. Define business questions. 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"6a2cb21074d8ee00a09dfc5c", "title" : "Senior Manager, Marketing Analytics & Operations", "industry" : "Marketing", "salary" : { "min" : 75000.0, "max" : 110000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Bulgaria, adjusted for Senior Manager seniority in Financial Services, with a remote work adjustment." }, "location" : "US", "locations" : [ "US" ], "timestamp" : "2026-06-15T22:08:36.000", "fingerprint" : "93d7dd824d7c79a341c5879ec96a24d3c4fe1586fc45d312b173a481061d0e1f", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/jobgether/8f3eae42-988c-44d3-be92-5cb32ade9a18/apply", "externalId" : "8f3eae42-988c-44d3-be92-5cb32ade9a18", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceLevel" : "Manager", "technicalSkills" : "Dbt, Python", "professionalSkills" : [ "Performance measurement", "Business intelligence", "Data transformation", "Analytics engineering", "Forecasting models", "Measurement initiatives", "Data quality", "Data reliability", "Decision-making confidence", "Strategic recommendations" ], "hardSkillsList" : [ "Marketing analytics", "Marketing operations", "Performance measurement", "Business intelligence", "Data warehousing", "Data transformation", "Analytics engineering", "SQL optimization", "Digital marketing", "Attribution modeling", "Conversion tracking", "Data integration", "Data governance", "Measurement frameworks", "Attribution best practices", "Dashboard building", "Reporting solutions", "Forecasting", "Incrementality testing", "Geo-testing", "Lift studies", "Experimentation frameworks", "A/B testing", "Data quality improvement", "Data accessibility" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Marketing analytics", "level" : "intermediate" }, { "name" : "Marketing operations", "level" : "intermediate" }, { "name" : "Performance measurement", "level" : "intermediate" }, { "name" : "Business intelligence", "level" : "intermediate" }, { "name" : "Data warehousing", "level" : "intermediate" }, { "name" : "Data transformation", "level" : "intermediate" }, { "name" : "Analytics engineering", "level" : "intermediate" }, { "name" : "SQL optimization", "level" : "intermediate" }, { "name" : "Digital marketing", "level" : "intermediate" }, { "name" : "Attribution modeling", "level" : "intermediate" }, { "name" : "Conversion tracking", "level" : "intermediate" }, { "name" : "Data integration", "level" : "intermediate" }, { "name" : "Data governance", "level" : "intermediate" }, { "name" : "Measurement frameworks", "level" : "intermediate" }, { "name" : "Attribution best practices", "level" : "intermediate" }, { "name" : "Dashboard building", "level" : "intermediate" }, { "name" : "Reporting solutions", "level" : "intermediate" }, { "name" : "Forecasting", "level" : "intermediate" }, { "name" : "Incrementality testing", "level" : "intermediate" }, { "name" : "Geo-testing", "level" : "intermediate" }, { "name" : "Lift studies", "level" : "intermediate" }, { "name" : "Experimentation frameworks", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Data quality improvement", "level" : "intermediate" }, { "name" : "Data accessibility", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Marketing analytics, Marketing operations, Data warehousing, Attribution modeling", "majorSkillsList" : [ "Marketing analytics", "Marketing operations", "Data warehousing", "Attribution modeling" ], "coreResponsibilities" : "Design marketing analytics ecosystem, Build marketing analytics ecosystem, Oversee marketing analytics ecosystem, Develop marketing KPIs, Maintain marketing KPIs, Establish governance processes, Manage tracking infrastructure, Create reporting frameworks, Create dashboards, Create self-service analytics solutions, Partner with leadership, Develop forecasting models, Develop budget scenarios, Develop performance targets, Develop strategic recommendations, Lead measurement initiatives, Identify data quality issues, Implement solutions for data reliability, Implement solutions for data accessibility, Implement solutions for decision-making confidence, Translate analytical findings, Collaborate with data engineering, Collaborate with finance, Collaborate with marketing, Collaborate with executive teams", "teamCollaboration" : "Cross-functional teams; Marketing teams; Business leaders; Data engineering; Finance; Executive teams", "projectManagementSkills" : [ "Experimentation frameworks", "A/B testing programs" ], "domainKnowledge" : "Marketing analytics; Marketing operations; Performance measurement; Attribution modeling; Conversion tracking; Data governance; Measurement frameworks; Marketing attribution; Incrementality testing; Geo-testing; Lift studies; Experimentation frameworks; A/B testing", "domainList" : [ "marketing-analytics", "marketing-operations", "performance-measurement", "attribution-modeling", "conversion-tracking", "data-governance", "measurement-frameworks", "marketing-attribution", "incrementality-testing", "geo-testing", "lift-studies", "experimentation-frameworks", "a-b-testing" ], "domainSpecificKnowledge" : [ "Marketing analytics", "Marketing operations", "Performance measurement", "Attribution modeling", "Conversion tracking", "Data governance", "Measurement frameworks", "Marketing attribution", "Incrementality testing", "Geo-testing", "Lift studies", "Experimentation frameworks", "A/B testing" ], "toolProficiency" : [ "Snowflake", "Dbt", "Looker", "LookML" ], "communicationSkills" : "Present findings; Actionable recommendations", "continuousLearning" : "Professional development opportunities; Continuous learning", "innovationCreativity" : "Innovation", "problemSolvingSkills" : "Analytical mindset; Data quality issues; Data reliability", "specialRequirements" : "Physically located within the United States", "outcomesObjectives" : "Support growth objectives; Improve data reliability; Improve data accessibility; Improve decision-making confidence", "qualificationsBasic" : "5+ years marketing analytics experience, 2+ years cloud data warehouse management, Advanced SQL skills, Deep understanding of digital marketing channels, Experience integrating data from advertising platforms, Knowledge of data governance, Experience building dashboards, Analytical mindset, Excellent communication skills, Stakeholder management skills, Physically located within the United States", "qualificationsPreferred" : "Experience with Python for analytics, Supporting multiple brands experience, Background in insurance, Background in financial services, Background in fintech, Background in regulated industries", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "## Accountabilities Design, build, and oversee a centralized marketing analytics ecosystem that supports performance measurement, attribution, forecasting, and growth optimization initiatives. Develop and maintain enterprise-level marketing KPIs, including customer acquisition cost, return on ad spend, conversion performance, lifetime value, attribution metrics, and revenue impact. Establish governance processes for marketing data collection, tracking accuracy, attribution methodologies, and reporting consistency across paid and owned channels. Manage tracking infrastructure, including pixels, tag management systems, server-side tracking implementations, conversion APIs, and offline conversion integrations. Create scalable reporting frameworks, dashboards, and self-service analytics solutions that provide actionable insights to marketing teams and business leaders. Partner with leadership to develop forecasting models, budget scenarios, performance targets, and strategic recommendations that support growth objectives. Lead advanced measurement initiatives such as incrementality testing, geo-testing, lift studies, experimentation frameworks, and A/B testing programs. Identify data quality issues and implement solutions that improve data reliability, accessibility, and decision-making confidence. Translate complex analytical findings into clear, actionable recommendations for technical and non-technical stakeholders. Collaborate closely with data engineering, finance, marketing, and executive teams to align reporting standards and performance measurement practices. Requirements 5+ years of experience in marketing analytics, marketing operations, performance measurement, business intelligence, or related analytical functions. Minimum 2 years of hands-on experience managing cloud-based data warehouse environments, particularly Snowflake or comparable platforms. Strong expertise with dbt and modern data transformation, modeling, and analytics engineering practices. Advanced SQL skills with proven experience analyzing large and complex datasets. Deep understanding of digital marketing channels, including paid search, paid social, affiliate marketing, attribution modeling, and conversion tracking methodologies. Experience integrating data from advertising platforms, CRM systems, analytics tools, and marketing technology ecosystems. Knowledge of data governance, measurement frameworks, and marketing attribution best practices. Experience building dashboards and reporting solutions using Looker, LookML, or similar business intelligence platforms. Strong analytical mindset with the ability to convert data into strategic business recommendations. Excellent communication and stakeholder management skills, including the ability to present findings to senior leadership and executive audiences. Experience with Python for analytics, automation, or data science applications is highly desirable. Previous experience supporting multiple brands, business units, or product portfolios is preferred. Background in insurance, financial services, fintech, or other regulated industries is considered a strong advantage. Must be physically located within the United States. Benefits Competitive base salary ranging from $140,000 to $150,000 annually, based on experience and qualifications. Performance-based bonus opportunity of up to 15% of base salary. Comprehensive health and wellness benefits package. Fully remote work environment offering flexibility and work-life balance. Opportunity to build and lead a critical marketing analytics function with enterprise-wide visibility and impact. Direct exposure to executive leadership and strategic business initiatives. Professional development opportunities within a fast-growing, technology-driven organization. Collaborative culture that encourages innovation, continuous learning, and data-driven decision-making. Opportunity to work with modern analytics technologies, cloud data platforms, and advanced marketing measurement frameworks. Long-term career growth potential in a rapidly transforming business environment. ## Additional Information How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1", "summaryDescription" : "Senior Manager, Marketing Analytics & Operations. Skills: Marketing analytics, Marketing operations, Data warehousing, Attribution modeling. Design marketing analytics ecosystem. Build marketing analytics ecosystem", "postedDate" : "2026-06-12T10:41:04.766", "createdAt" : "2026-06-12T10:41:04.766", "lastUpdated" : "2026-06-15T22:08:36.000", "ingestTimestamp" : "2026-06-14T21:44:46.724", "mongoId" : "6a2cb21074d8ee00a09dfc5c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Marketing analytics", "Marketing operations", "Performance measurement", "Business intelligence", "Data warehousing", "Data transformation", "Analytics engineering", "SQL optimization", "Digital marketing", "Attribution modeling", "Conversion tracking", "Data integration", "Data governance", "Measurement frameworks", "Attribution best practices", "Dashboard building", "Reporting solutions", "Forecasting", "Incrementality testing", "Geo-testing", "Lift studies", "Experimentation frameworks", "A/B testing", "Data quality improvement", "Data accessibility", "Leadership", "Forecasting models", "Measurement initiatives", "Data quality", "Data reliability", "Decision-making confidence", "Strategic recommendations", "A/B testing programs", "Marketing attribution", "Snowflake", "Dbt", "Looker", "LookML" ], "skillCount" : 38, "jobCategory" : "marketing", "jobSubcategory" : "growth", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "_score" : 938.52405, "daysOld" : 3, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Financial Services", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305930f292fd229cf45a2a", "title" : "Senior Manager, BizOps & Analytics", "company" : "Jerry.ai", "industry" : "Data", "salary" : { "min" : 170000.0, "max" : 210000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "New York, New York", "locations" : [ "New York, New York", "San Francisco Bay Area", "Boston, Massachusetts", "Atlanta, Georgia", "Denver, Colorado", "Austin, Texas", "Miami, Florida" ], "timestamp" : "2026-06-16T10:34:33.079", "fingerprint" : "f59c3721e117ce6b8b52c4b73b920c7af7088905fe799a2905a60679bda4fa3d", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/Jerry.ai/2455d942-1f05-46d6-811a-bb703e0cf22e/application", "externalId" : "2455d942-1f05-46d6-811a-bb703e0cf22e", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "technicalSkills" : "Excel, SQL, Python", "professionalSkills" : [ "First principles thinking", "Data analysis", "Problem solving", "Decision making", "Analytical insights" ], "hardSkillsList" : [ "Data interpretation", "Data structuring", "Data pulling" ], "softSkillsList" : [ "Direct communication" ], "hardSkills" : [ { "name" : "Data interpretation", "level" : "intermediate" }, { "name" : "Data structuring", "level" : "intermediate" }, { "name" : "Data pulling", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Direct communication" } ], "majorSkills" : "BizOps, Analytics, Data insights, Decision making", "majorSkillsList" : [ "BizOps", "Analytics", "Data insights", "Decision making" ], "coreResponsibilities" : "Define business questions, Push back on flawed questions, Define metrics, Build reports, Run analyses, Design experiments, Surface data insights, Bring recommendations to counterparts, Tell counterparts what is happening, Tell counterparts why it is happening, Tell counterparts next steps", "teamCollaboration" : "Embedded in business units; Counterparts in product; Counterparts in growth; Counterparts in finance; Counterparts in operations", "domainKnowledge" : "Car ownership; Home ownership; Insurance; Driving insights; Diagnostics; Repair marketplace", "domainList" : [ "car-ownership", "home-ownership", "insurance", "driving-insights", "diagnostics", "repair-marketplace" ], "domainSpecificKnowledge" : [ "Car ownership", "Home ownership", "Insurance", "Driving insights", "Diagnostics", "Repair marketplace" ], "toolProficiency" : [ "Clickhouse", "Metabase", "Jupyter Hub", "GitHub" ], "communicationSkills" : "Direct communication; Clear writing; Precise speaking; Persuasive communication; Leadership presentations", "problemSolvingSkills" : "First principles thinker; Break ambiguous problems; Analytical problem solving", "outcomesObjectives" : "Move team's key metrics; Drive business impact; Grow to 50M customers; Become $10B business", "qualificationsBasic" : "6+ years consulting experience, 6+ years investment bank experience, 6+ years high-growth tech experience, Analytical ability to pull data, Analytical ability to structure data, Analytical ability to interpret data, Track record of owning problems, Track record of delivering impact, Clear communicator, Persuasive communicator, Influence leadership decisions", "remoteFriendly" : false, "rawDescription" : "Why We Exist Your car and your home are your most important assets, yet the experience of owning them is stuck in the 90s. Every part of the journey — buy/sell, insurance, maintenance, repairs — is fragmented, complicated, and expensive. Jerry.ai http://Jerry.ai is building the first app to manage it all. We started with car insurance in 2019, became one of the top 3 brokers in the U.S., then added driving insights, diagnostics, and a repair marketplace. We've reached 5M+ customers, raised $240M+, scaled revenue 70X, and became profitable in early 2024. We're now expanding into adjacent verticals (e.g. home, motorcycle, RV, etc) to become the one-stop-shop for all your physical assets. Why We’re Hiring Our BizOps & Analytics team has been a force multiplier and accelerant to our business that has helped us reach these pivotal milestones in spite of headwinds and within a highly competitive market. They are a team of former McKinsey, BCG and Bain consultants who drive data & insights, and inform decision-making across every corner of our business. They are analytical powerhouses and first principles problem solvers who push forward our most important initiatives across product, growth, tech, and operations. Every business unit has a BizOps team member embedded within it — someone who doesn't just run analyses and build dashboards, but shapes what questions we should ask, what data to pull, what conclusions to draw, what decisions to make, and then drives our teams towards our next goal: go from 5M to 50M customers and become a $10B business in the next 4 years. As our business continues to expand, there is growing demand for more BizOps team members. We are hiring 4-6 people to drive impact in these areas: - Growth Marketing - Product Development - AI & Automation - Strategic Partnerships On leveling: You may see job ads for this role at different job levels. Our priority is finding the right people, we can be flexible with job title/leveling. Why You Will (Or Won't) Like Working Here - No slides: If you've worked in consulting, you know what it feels like to be up at 3am reformatting a deck. That doesn't exist here. The only work that gets done at Jerry is work that will materially change the trajectory of our business — an important product, a new growth channel, a key metric, a critical partner relationship, etc. - No corporate fluff: The BizOps & Analytics team is 14 insatiable learners who care deeply about solving difficult problems and making a tangible impact. Every person owns a critical domain. There is no bloat, unnecessary meetings, or waiting for approvals. - Hands-on: This is not a pure strategy role, you will also own execution. Your day-to-day will be surfacing analytical insights, driving decisions, and seeing them through end-to-end. What You'll Own You'll sit on our central BizOps & Analytics team but you’ll be embedded in one of Jerry's core business areas — growth, product, AI and automation, strategic partnerships — and own the analytical function for that business unit end-to-end. - Define the right problems: Before any analysis, understand what business question it's answering and what decision it will inform. Push back if the question is flawed. - Data and insights: Define metrics, build reports, run analyses, design experiments, and surface data insights that move your team's key metrics. - Drive outcomes: Bring recommendations to your counterparts in product, growth, finance or operations, tell them what's happening and why, and what next steps should be. Who You Are - First principles thinker: You break ambiguous problems into clear hypotheses before touching data. You're analytically strong (comfortable with Excel, SQL or Python) but your instinct is to ask \"what are we trying to solve here?\" before jumping to \"what should I build?\" - Direct communicator: You can walk a skeptical stakeholder through a complex finding and get buy-in quickly. You write clearly, speak precisely, and don't bury the lede. - Owner: You act like your name is on the door. If something is broken, you feel responsible for fixing it, even if it’s outside of your swim lane. What You'll Bring - 6+ years of experience at a consulting firm, investment bank, or high-growth technology company. - Strong analytical skills; ability to pull, structure, and interpret data independently. - Track record of owning ambiguous problems and delivering impact. - Clear, persuasive communicator who can influence decisions at the leadership level. Our Tools SQL (Clickhouse), Metabase, Python, Jupyter Hub, GitHub. While we appreciate your interest and application, only applicants under consideration will be contacted. Jerry.ai is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on race, religion, color, national origin, sex, pregnancy, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, or other characteristics protected by applicable local, state or federal laws. Jerry.ai is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at recruiting@jerry.ai recruiting@getjerry.com The successful candidate’s starting pay will fall within the pay range listed on this job posting, determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation may include opportunities for equity grants. We offer a comprehensive benefits package to regular employees, including health, dental, and vision coverage, paid time off, paid parental leave, 401(K) plan with employer matching, and wellness benefits, among others. Equity opportunities may also be part of your total rewards package. Part-time, contract, or freelance roles may not be eligible for certain benefits. About Jerry.ai Jerry.ai is America’s first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets. Backed by artificial intelligence and machine learning, Jerry.ai simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We spend every day innovating and improving our AI-powered app to provide the best possible experience for our customers. From car insurance and financing to maintenance and safety, Jerry.ai does it all. We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers — and we’re just getting started. Jerry.ai was founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing. Join our team and work with passionate, curious and egoless people who love solving real-world problems. Help us build a revolutionary product that’s disrupting a massive market.", "summaryDescription" : "Senior Manager, BizOps & Analytics at Jerry.ai. Skills: BizOps, Analytics, Data insights, Decision making. Define business questions. Push back on flawed questions", "createdAt" : "2026-06-16T00:28:11.598", "lastUpdated" : "2026-06-16T10:34:33.079", "ingestTimestamp" : "2026-06-16T00:28:11.598", "mongoId" : "6a305930f292fd229cf45a2a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 170000, "salaryAnnualMax" : 210000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Data interpretation", "Data structuring", "Data pulling", "Direct communication", "BizOps", "Analytics", "Data insights", "Decision making", "First principles thinking", "Data analysis", "Problem solving", "Analytical insights", "Car ownership", "Home ownership", "Insurance", "Driving insights", "Diagnostics", "Repair marketplace", "Clickhouse", "Metabase", "Jupyter Hub", "GitHub" ], "skillCount" : 22, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "_score" : 935.6875, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2cb0cb74d8ee00a09db152", "title" : "Senior Marketing Data Analyst", "company" : "Surfshark", "industry" : "Surfshark", "salary" : { "min" : 4000.0, "max" : 5900.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : false }, "location" : "Vilnius, Lithuania", "locations" : [ "Vilnius, Lithuania", "Kaunas, Lithuania", "Warsaw, Poland" ], "timestamp" : "2026-06-15T07:24:55.598", "fingerprint" : "ba4c7e7d416d2bddaae00a426a1521d8d626e38db95ab01761dcb1cb53389460", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/surfshark/3876db4a-8a78-4cf4-9502-aa5ee33853a4/application", "externalId" : "3876db4a-8a78-4cf4-9502-aa5ee33853a4", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Vilnius", "country" : "Lithuania", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "54.6870458,25.2829111" } ], "locationText" : "Vilnius, Lithuania", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, Dbt, Git", "professionalSkills" : [ "Business acumen", "Analytical solutions", "Data models", "Data visualizations", "Data literacy" ], "hardSkillsList" : [ "SQL query writing", "Data modeling", "Data analysis", "Problem solving" ], "hardSkills" : [ { "name" : "SQL query writing", "level" : "intermediate" }, { "name" : "Data modeling", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Problem solving", "level" : "intermediate" } ], "majorSkills" : "Data analysis, Data modeling, SQL", "majorSkillsList" : [ "Data analysis", "Data modeling", "SQL" ], "coreResponsibilities" : "Act as analytical partner, Build analytics solutions, Empower marketing stakeholders, Design data models, Design reporting layers, Ensure reliable data, Challenge assumptions, Uncover opportunities, Drive continuous improvement, Translate data, Create actionable visualizations, Ensure data products align, Advocate for data literacy, Help others self-serve", "teamCollaboration" : "Marketing stakeholders; Other teams", "domainKnowledge" : "Marketing analytics", "domainList" : [ "marketing-analytics" ], "domainSpecificKnowledge" : [ "Marketing analytics" ], "toolProficiency" : [ "Dbt", "Looker", "Tableau", "Git" ], "communicationSkills" : "Actionable visualizations; Clear communication", "continuousLearning" : "Learning opportunities; Online learning platforms; Books for professional growth", "innovationCreativity" : "Push boundaries", "problemSolvingSkills" : "Problem-solving; Analytical workstreams", "outcomesObjectives" : "Make smarter decisions; Make faster decisions; Ensure reliable data products", "qualificationsBasic" : "Proven analytical experience, Advanced SQL proficiency, Modern analytics stacks experience, Business acumen, Problem-solving skills, Communication skills, Structured analytical workstreams", "qualificationsPreferred" : "PhD preferred, Specific ML framework experience, Cloud platform certs", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "Want to lead a culture of data-driven decision-making? Love turning data into meaningful, actionable insights? If so, we want you on our Data team at Surfshark! This team comprises experts who specialize in collecting, analyzing, and interpreting large amounts of data. The Data team also takes pride in creating robust ETLs and dashboards that allow other teams to monitor, plan, and achieve their goals effectively. As a Data Analyst, you will play a crucial role in building a self-service-enabled reporting layer, helping businesses extract insights and knowledge from vast amounts of data. If this sounds interesting, read along! IF YOU WANT TO: - Act as an analytical partner by building robust, end-to-end analytics solutions that empower marketing stakeholders to make smarter, faster decisions; - Design clean, scalable data models and reporting layers to ensure reliable reporting; - Push the boundaries of how data is used by challenging assumptions, uncovering opportunities, and driving continuous improvement; - Translate complex data into clear, actionable visualizations and narratives; - Ensure that data products (dashboards, models) align with current principles, guidelines, and standards; - Advocate for data literacy and enablement, helping others self-serve and interpret data confidently. AND YOU CAN CHECK OFF: - Proven experience in an analytical role; - Advanced proficiency in SQL, with the ability to write performant and complex queries. - Experience with modern analytics stacks and workflows (e.g., dbt, Looker/Tableau, Git); - Strong business acumen, with the ability to challenge vague requests, clarify impact, and guide stakeholders toward meaningful, data-driven decisions; - Excellent problem-solving and communication skills, with the ability to manage end-to-end projects; - Proven ability to turn messy, ambiguous product or business problems into structured analytical workstreams with clear outcomes. HERE’S THE DEAL: - Growth and learning opportunities: time dedicated to learning, conferences, online learning platforms, and books for your professional development; - Health and wellness: we want you to feel and be your best. That's why we offer various benefits, from online workouts and a physical coach to health insurance and regular mental health checks; - Tools of your choice: choose the technical equipment and tools you need to do your best work; - Community and celebrations: get ready for long-lasting traditions such as yearly workation, Friday get-togethers, various team buildings and company celebrations; - Work-life balance: We encourage working in the office, with the possibility of up to two remote days per week. Plus, with our WFA policy, you can work from almost anywhere in the world; - More days off: additional vacation days depending on your tenure; - Premium Surfshark accounts: for you, your family, and friends; - Gross salary: 4000 - 5900 Eur/month for the Lithuanian market, 19600 - 25000 Pln/month for the Polish market. It may vary depending on your skills and experience.", "summaryDescription" : "Senior Marketing Data Analyst at Surfshark. Skills: Data analysis, Data modeling, SQL. Act as analytical partner. 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We create campaigns and content to attract new accounts and inspire current ones to grow with us. We continue to grow, with a global team focused on revenue and field marketing, product marketing, brand and content creation, advertising, and lifecycle marketing. The Customer Marketing and Advocacy team is dedicated to building and scaling programs that place our customers at the center of Asana's marketing strategy. We cultivate strategic relationships that drive insights and engagement that will shape the future of our product and business. We are seeking an experienced and passionate marketer to cultivate the inspiring stories of how customers achieve their missions with Asana and infuse them into the heart our marketing work. This role is based in our Chicago office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements. What You'll Achieve: Manage and execute the global Customer Advisory program, including executive Customer Advisory Boards (CABs) for AMER and EMEA cohorts, as well as a global customer product council. This includes developing recruitment strategies, managing membership, collaborating on high-impact session content, and overseeing event experiences. Partner closely with Marketing, Sales, and Customer Success to identify strategic Asana customers and use cases. Translate these successes into compelling, multi-format engagements, such as case studies, customer films, event speaker engagements, advertising, and media opportunities, that directly support Asana’s key marketing narratives. Act as a primary liaison between customers and the marketing organization, sourcing the right customers for the right engagement opportunities. Work with Revenue and Marketing teams to drive the ongoing adoption of customer content across the organization. Establish and manage a feedback process to ensure continuous programmatic improvements and keep the team at the forefront of customer marketing trends. About You: 6+ years of experience in Marketing or Public Relations, including at least 5 years in a core customer-facing role (Customer Marketing, Content Marketing, Product Marketing, or Campaigns) focused on developing deep customer relationships and compelling stories. Proven experience coordinating or facilitating technology Customer Advisory Boards (CABs). B2B SaaS work experience is a strong asset. A strong, collaborative relationship builder skilled at partnering cross-functionally (Sales, Success, Product) to identify and secure the best customer stories that align with business needs. A deep commitment to ensuring exceptional customer experiences for those who participate in marketing engagements. Experience with integrating AI into marketing workflows A skilled marketer with a passion for customer storytelling that directly supports measurable business outcomes. Ability to operate independently, manage multiple priorities effectively, and consistently deliver great results. Ability to travel for customer events and marketing activities. At Asana, we're committed to building teams that include a variety of backgrounds, perspectives, and skills, as this is critical to helping us achieve our mission. If you're interested in this role and don't meet every listed requirement, we still encourage you to apply. What we’ll offer Our comprehensive compensation package plays a big part in how we recognize you for the impact you have on our path to achieving our mission. We believe that compensation should be reflective of the value you create relative to the market value of your role. To ensure pay is fair and not impacted by biases, we're committed to looking at market value which is why we check ourselves and conduct a yearly pay equity audit. For this role, the estimated base salary range is between $150,000 - $165,000. The actual base salary will vary based on various factors, including market and individual qualifications objectively assessed during the interview process. The listed range above is a guideline, and the base salary range for this role may be modified. In addition to base salary, your compensation package may include additional components such as equity, sales incentive pay (for most sales roles), and benefits. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role. We strive to provide equitable and competitive benefits packages that support our employees worldwide and include: Mental health, wellness & fitness benefits Career coaching & support Inclusive family building benefits Long-term savings or retirement plans In-office culinary options to cater to your dietary preferences These are just some of the benefits we offer, and benefits may vary based on role, country, and local regulations. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role. #LI-Hybrid About us Asana is a leading platform for human + AI collaboration. Millions of teams around the world rely on Asana to achieve their most important goals, faster. Asana has been named to Fortune's Best Workplaces for 7+ years and recognized by Fast Company, Forbes, and Gartner for excellence in workplace culture and innovation. We offer an exceptional office-centric culture while adopting the best elements of hybrid models to ensure that every one of our global team members can work together effortlessly. With 13+ offices all over the world, we are always looking for individuals who care about building technology that drives positive change in the world and a culture where everyone feels that they belong. Join Asana’s Talent Network to stay up to date on job opportunities and life at Asana.", "summaryDescription" : "Customer Marketing Manager at Asana. Skills: Customer marketing, Customer advocacy, Storytelling. Manage global Customer Advisory program. 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We create campaigns and content to attract new accounts and inspire current ones to grow with us. We continue to grow, with a global team focused on revenue and field marketing, product marketing, brand and content creation, advertising, and lifecycle marketing. The Customer Marketing and Advocacy team is dedicated to building and scaling programs that place our customers at the center of Asana's marketing strategy. We cultivate strategic relationships that drive insights and engagement that will shape the future of our product and business. We are seeking an experienced and passionate marketer to cultivate the inspiring stories of how customers achieve their missions with Asana and infuse them into the heart our marketing work. This role is based in our New York office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements. What You'll Achieve: Manage and execute the global Customer Advisory program, including executive Customer Advisory Boards (CABs) for AMER and EMEA cohorts, as well as a global customer product council. This includes developing recruitment strategies, managing membership, collaborating on high-impact session content, and overseeing event experiences. Partner closely with Marketing, Sales, and Customer Success to identify strategic Asana customers and use cases. Translate these successes into compelling, multi-format engagements, such as case studies, customer films, event speaker engagements, advertising, and media opportunities, that directly support Asana’s key marketing narratives. Act as a primary liaison between customers and the marketing organization, sourcing the right customers for the right engagement opportunities. Work with Revenue and Marketing teams to drive the ongoing adoption of customer content across the organization. Establish and manage a feedback process to ensure continuous programmatic improvements and keep the team at the forefront of customer marketing trends. About You: 6+ years of experience in Marketing or Public Relations, including at least 5 years in a core customer-facing role (Customer Marketing, Content Marketing, Product Marketing, or Campaigns) focused on developing deep customer relationships and compelling stories. Proven experience coordinating or facilitating technology Customer Advisory Boards (CABs). B2B SaaS work experience is a strong asset. A strong, collaborative relationship builder skilled at partnering cross-functionally (Sales, Success, Product) to identify and secure the best customer stories that align with business needs. A deep commitment to ensuring exceptional customer experiences for those who participate in marketing engagements. Experience with integrating AI into marketing workflows A skilled marketer with a passion for customer storytelling that directly supports measurable business outcomes. Ability to operate independently, manage multiple priorities effectively, and consistently deliver great results. Ability to travel for customer events and marketing activities. At Asana, we're committed to building teams that include a variety of backgrounds, perspectives, and skills, as this is critical to helping us achieve our mission. If you're interested in this role and don't meet every listed requirement, we still encourage you to apply. What we’ll offer Our comprehensive compensation package plays a big part in how we recognize you for the impact you have on our path to achieving our mission. We believe that compensation should be reflective of the value you create relative to the market value of your role. To ensure pay is fair and not impacted by biases, we're committed to looking at market value which is why we check ourselves and conduct a yearly pay equity audit. For this role, the estimated base salary range is between $165,000 - $185,000. The actual base salary will vary based on various factors, including market and individual qualifications objectively assessed during the interview process. The listed range above is a guideline, and the base salary range for this role may be modified. In addition to base salary, your compensation package may include additional components such as equity, sales incentive pay (for most sales roles), and benefits. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role. We strive to provide equitable and competitive benefits packages that support our employees worldwide and include: Mental health, wellness & fitness benefits Career coaching & support Inclusive family building benefits Long-term savings or retirement plans In-office culinary options to cater to your dietary preferences These are just some of the benefits we offer, and benefits may vary based on role, country, and local regulations. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role. #LI-Hybrid About us Asana is a leading platform for human + AI collaboration. Millions of teams around the world rely on Asana to achieve their most important goals, faster. 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We create campaigns and content to attract new accounts and inspire current ones to grow with us. We continue to grow, with a global team focused on revenue and field marketing, product marketing, brand and content creation, advertising, and lifecycle marketing. The Customer Marketing and Advocacy team is dedicated to building and scaling programs that place our customers at the center of Asana's marketing strategy. We cultivate strategic relationships that drive insights and engagement that will shape the future of our product and business. We are seeking an experienced and passionate marketer to cultivate the inspiring stories of how customers achieve their missions with Asana and infuse them into the heart our marketing work. This role is based in our San Francisco office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements. What You'll Achieve: Manage and execute the global Customer Advisory program, including executive Customer Advisory Boards (CABs) for AMER and EMEA cohorts, as well as a global customer product council. This includes developing recruitment strategies, managing membership, collaborating on high-impact session content, and overseeing event experiences. Partner closely with Marketing, Sales, and Customer Success to identify strategic Asana customers and use cases. Translate these successes into compelling, multi-format engagements, such as case studies, customer films, event speaker engagements, advertising, and media opportunities, that directly support Asana’s key marketing narratives. Act as a primary liaison between customers and the marketing organization, sourcing the right customers for the right engagement opportunities. Work with Revenue and Marketing teams to drive the ongoing adoption of customer content across the organization. Establish and manage a feedback process to ensure continuous programmatic improvements and keep the team at the forefront of customer marketing trends. About You: 6+ years of experience in Marketing or Public Relations, including at least 5 years in a core customer-facing role (Customer Marketing, Content Marketing, Product Marketing, or Campaigns) focused on developing deep customer relationships and compelling stories. Proven experience coordinating or facilitating technology Customer Advisory Boards (CABs). B2B SaaS work experience is a strong asset. A strong, collaborative relationship builder skilled at partnering cross-functionally (Sales, Success, Product) to identify and secure the best customer stories that align with business needs. A deep commitment to ensuring exceptional customer experiences for those who participate in marketing engagements. Experience with integrating AI into marketing workflows A skilled marketer with a passion for customer storytelling that directly supports measurable business outcomes. Ability to operate independently, manage multiple priorities effectively, and consistently deliver great results. Ability to travel for customer events and marketing activities. At Asana, we're committed to building teams that include a variety of backgrounds, perspectives, and skills, as this is critical to helping us achieve our mission. If you're interested in this role and don't meet every listed requirement, we still encourage you to apply. What we’ll offer Our comprehensive compensation package plays a big part in how we recognize you for the impact you have on our path to achieving our mission. We believe that compensation should be reflective of the value you create relative to the market value of your role. To ensure pay is fair and not impacted by biases, we're committed to looking at market value which is why we check ourselves and conduct a yearly pay equity audit. For this role, the estimated base salary range is between $165,000 - $185,000. The actual base salary will vary based on various factors, including market and individual qualifications objectively assessed during the interview process. The listed range above is a guideline, and the base salary range for this role may be modified. In addition to base salary, your compensation package may include additional components such as equity, sales incentive pay (for most sales roles), and benefits. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role. We strive to provide equitable and competitive benefits packages that support our employees worldwide and include: Mental health, wellness & fitness benefits Career coaching & support Inclusive family building benefits Long-term savings or retirement plans In-office culinary options to cater to your dietary preferences These are just some of the benefits we offer, and benefits may vary based on role, country, and local regulations. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role. #LI-Hybrid About us Asana is a leading platform for human + AI collaboration. Millions of teams around the world rely on Asana to achieve their most important goals, faster. 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We partner with over 300 clients in 40+ countries and counting. Our unique model drives creativity and efficiency, allowing us to deliver tailored solutions that resonate deeply with audiences. As a part of The Brandtech Group, we're at the forefront of leveraging cutting-edge AI technology to revolutionise how we create and deliver work. Our AI solutions enhance efficiency, spark creativity, and drive insightful decision-making, empowering our teams to produce innovative and impactful results. Role: Customer Marketing Manager Location: London, United Kingdom About the role: The Customer Marketing Manager is a junior manager responsible for OLIVER's client loyalty, advocacy, and retention marketing programmes. You'll develop client journey frameworks, run the referral and testimonial programme, identify and activate case study opportunities, plan client events and experiences, produce client communications, and support upsell and cross-sell activity through CRM-triggered campaigns and client-team enablement. You'll work closely with the ABM Lead on account expansion opportunities — providing the client engagement infrastructure and advocacy assets that support ABM account planning and commercial growth. You'll also collaborate with the Awards Lead on case study identification and co-publishing, the PR Lead on advocacy and testimonial content, the Demand Generation Lead on CRM triggers and nurture, and the Content & Campaigns Lead on client communications and content. This is a broad, hands-on role. You'll be building programmes, writing content, managing relationships, and coordinating across multiple internal teams — developing your marketing management skills across a genuinely varied remit What you will be doing: Loyalty & Retention Develop and manage OLIVER's client journey mapping — understanding the key moments in a client relationship where engagement, recognition, and proactive communication make the biggest difference to loyalty and retention. Build and run a structured client engagement programme: identifying at-risk accounts, recognising milestone moments, and ensuring clients feel consistently valued throughout their relationship with OLIVER. Work with account directors and managing partners to maintain a clear view of client health across the portfolio — providing marketing support that helps strengthen relationships before issues arise. Track retention metrics and client engagement signals, feeding insight back to the ABM Lead and Global Head of Marketing. Advocacy & Referral Programme Own OLIVER's client advocacy programme — identifying satisfied clients who are well-placed to become active advocates and developing a structured approach to referral, testimonial, and peer recommendation. Build and maintain a testimonial bank: coordinating with account teams to gather client quotes, video testimonials, and endorsements — managing approvals, organising assets, and keeping the library current and commercially useful. Lead OLIVER's NPS programme: managing survey design and distribution, analysing results, synthesising insight, and presenting findings to the Global Head of Marketing and senior leadership with clear recommendations for improvement. Develop the referral programme: working with the ABM Lead and commercial leadership to build a structured approach to client-led introductions and recommendations. Case Study Activation Work alongside account directors and the Awards Lead to identify client work that is suitable for public case study development — building a live pipeline of potential case studies across OLIVER's studio portfolio. Lead the client approval and co-publishing process for customer marketing case studies — managing client relationships through account teams to secure permissions, results data, and sign-off in a timely and sensitive way. Develop short-form case study content for client-facing use: credentials decks, website proof points, and sales enablement materials — working with the Brand Lead and Content & Campaigns Lead to ensure quality and consistency. Coordinate case study amplification with the Content & Campaigns Lead and PR Manager — ensuring approved case studies reach the right audiences through the right channels. Client Events & Experiences Plan and coordinate client events and experiences that deepen relationships, build advocacy, and create commercial opportunities — including roundtables, client entertainment, and speaker participation programmes. Work with the Content & Campaigns Lead and Regional Field Marketing Executives on event strategy and production, contributing client engagement objectives and audience management. Develop speaker pitches for OLIVER clients — identifying opportunities for clients to participate in OLIVER-hosted or industry events in ways that strengthen the relationship and generate mutual value. Manage attendee coordination, client communications, and post-event follow-up — ensuring every client event leaves a positive impression and a clear next step. Client Communications Develop and manage OLIVER's client communications programme — including client newsletters, brand and product updates, and content designed to keep clients engaged, informed, and connected to OLIVER's thinking. Work with the Content & Campaigns Lead to adapt global content for client audiences — identifying the most relevant thought leadership, campaign insights, and capability updates for different client segments. Ensure client communications are well-written, on-brand, timely, and genuinely useful — not a broadcast, but a conversation. Track client communication engagement and use performance data to continuously improve relevance, format, and frequency. Upsell & Cross-Sell Support Work with the Demand Generation Lead to develop CRM-triggered campaigns that identify and act on expansion signals within existing client accounts — flagging commercial opportunities to the ABM Lead and account teams. Build and maintain client-team enablement materials that help account directors and managing partners identify and progress upsell and cross-sell conversations — one-pagers, expansion playbooks, and conversation guides. Maintain a clear view of OLIVER's service and capability offering across different client segments — ensuring account teams have the knowledge and materials to identify the right expansion opportunities with the right clients at the right time. Track expansion pipeline and report on customer marketing's contribution to account growth alongside the ABM Lead. Stakeholder Collaboration Build trusted working relationships with account directors and managing partners — becoming a reliable, proactive partner for client engagement and advocacy activity across OLIVER's studios. Collaborate closely with the ABM Lead on account expansion strategy — contributing client engagement data, advocacy assets, and relationship intelligence to ABM account planning. Work with the Awards Lead on case study identification and co-publishing, the PR Lead on advocacy content and testimonial amplification, the Demand Generation Lead on CRM triggers and nurture, and the Content & Campaigns Lead on client communications and content. Contribute to senior marketing reporting — providing clear updates on advocacy pipeline, NPS performance, referral activity, and case study status. Budget Support Track and manage customer marketing spend — events, NPS tooling, advocacy programme costs, and client communication platforms — raising purchase orders and maintaining accurate spend records. Report on budget usage to the Global Head of Marketing, flagging risks or variances early. Develop awareness of how customer marketing investment connects to retention, expansion, and referral outcomes. What you need to be great in this role: Some experience in customer marketing, client engagement, or account marketing — whether in an agency, professional services, or B2B environment. A genuine interest in client relationships and customer experience — curious about what clients think, motivated to improve how they're engaged, and energised by turning satisfied clients into active advocates. Experience developing or contributing to loyalty, retention, or advocacy programmes — understanding the mechanics of client journey mapping, referral development, and NPS measurement. Comfortable working with account-facing teams — building relationships with account directors and managing partners and navigating the sensitivities of client-facing work. Strong writing skills: able to produce client communications, case study content, and advocacy materials that are clear, well-structured, and genuinely engaging. Experience developing or contributing to client newsletters, email communications, or content programmes for existing customer audiences. An eye for detail and quality: you care about accuracy, tone, and consistency — and you understand that client-facing content reflects directly on OLIVER's reputation. Some experience supporting client events, roundtables, or relationship-building experiences — through work, study, or voluntary activity. Warm, professional, and confident in client-facing situations — able to represent OLIVER well with senior stakeholders even at a junior level. Organised and reliable: able to manage event logistics, coordinate multiple stakeholders, and keep things on track without losing attention to detail. Familiarity with CRM platforms and an understanding of how data and engagement signals can inform client marketing decisions. Growing commercial instinct: you understand that customer marketing exists to retain and grow revenue, and you want to develop your ability to demonstrate and track that connection clearly. Comfortable working with NPS data, engagement metrics, and basic performance reporting — and using insight to improve programmes over time. A proactive, organised team player: takes briefs well, communicates progress clearly, and follows through on commitments reliably. Comfortable working across multiple internal teams — balancing priorities and managing relationships with account directors, studio leads, and global marketing colleagues simultaneously. Eager to learn and develop: you're early in your marketing management career and you want to grow your skills across client engagement, advocacy, and commercial marketing — this role offers that breadth. Client-obsessed: you believe that the best marketing a business can do is deliver an exceptional client experience and then help those clients tell the story. Basic proficiency with Gen AI tools relevant to client communications and content — comfortable using them to support drafting, research, personalisation, and programme planning. Curiosity about how AI can improve the quality and relevance of client engagement and communications. Willingness to develop prompting skills and build AI-assisted workflows with support from the team. An agentic mindset: able to break down complex client engagement challenges into clear, manageable programmes and work through them methodically — even when operating with a degree of independence. Formal degrees are welcome but not required. Equivalent experience counts. Experience can be gained through work, study, volunteering, or self-directed learning. Req ID: 17934 #LI-JS1 #LI-Hybrid #LI-director Our values shape everything we do: Be Ambitious to succeed  Be Imaginative to push the boundaries of what’s possible  Be Inspirational to do groundbreaking work  Be always learning and listening to understand  Be Results-focused  to exceed expectations  Be actively pro-inclusive and anti-racist across our community, clients and creations  OLIVER, a part of the Brandtech Group, is an equal opportunity employer committed to creating an inclusive working environment where all employees are encouraged to reach their full potential, and individual differences are valued and respected. All applicants shall be considered for employment without regard to race, ethnicity, religion, gender, sexual orientation, gender identity, age, neurodivergence, disability status, or any other characteristic protected by local laws.   OLIVER has set ambitious environmental goals around sustainability, with science-based emissions reduction targets. Collectively, we work towards our mission, embedding sustainability into every department and through every stage of the project lifecycle.", "summaryDescription" : "Customer Marketing Manager at OLIVER. Skills: Brand strategy, Customer acquisition, Campaign management, Growth metrics", "postedDate" : "2026-06-15T23:17:33.047", "createdAt" : "2026-06-15T23:17:33.047", "lastUpdated" : "2026-06-16T08:20:40.359", "ingestTimestamp" : "2026-06-15T23:17:33.047", "mongoId" : "6a305714f292fd229cf3398c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Brand strategy", "Customer acquisition", "Campaign management", "Growth metrics" ], "skillCount" : 4, "jobCategory" : "marketing", "jobSubcategory" : "growth", "seniorityLevel" : "Manager", "dataQualityScore" : 1.0, "_score" : 925.6553, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Marketing", "llmIndustryConfidence" : 0.95 }, { "id" : "6a308dfef292fd229c0a1f14", "title" : "Senior Marketing Manager", "company" : "Cricut", "industry" : "Consumer Electronics", "salary" : { "min" : 125000.0, "max" : 175000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Marketing Manager in South Jordan, United States, adjusted for company size and industry." }, "location" : "South Jordan, UT, United States", "locations" : [ "South Jordan", "UT", "United States" ], "timestamp" : "2026-06-16T11:05:00.424", "fingerprint" : "408091f77bc927091860c5d8cc963639ac1ef86c1f2281dbd7db944e9c5d65d0", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/Cricut/744000132287847-senior-marketing-manager-services", "externalId" : "744000132287847", "industryFunction" : { }, "structuredLocations" : [ { "city" : "South Jordan", "state" : "Utah", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.5584882,-111.9367107" } ], "locationText" : "South Jordan, Utah, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "majorSkills" : "Brand strategy, Customer acquisition, Campaign management, Growth metrics", "majorSkillsList" : [ "Brand strategy", "Customer acquisition", "Campaign management", "Growth metrics" ], "coreResponsibilities" : "Develop brand strategy, Drive customer acquisition, Manage marketing campaigns, Analyze growth metrics", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Cricut® empowers people to make and personalize almost anything—from custom cards and apparel to everyday items and home décor. Our smart cutting machines, design apps, and materials make creativity easy and accessible for everyone. We believe everyone is born creative, and our mission is to put the power of handmade into the hands of all. With a passionate community of Makers around the world, Cricut helps turn inspiration into real, tangible creations—one project at a time. Let’s make. Cricut is seeking a bold, creative, and results-driven Senior Marketing Manager to lead awareness, customer acquisition, and growth initiatives across our Services portfolio, including Direct-to-Film (DTF), Finished T-Shirts, and Creative Lab products. This role is for a marketer who loves building excitement around new businesses, finding creative ways to reach customers, and developing campaigns that stand out in the marketplace. We're looking for someone who thinks beyond traditional marketing channels, embraces experimentation, and understands how to create momentum through influencers, creators, community engagement, partnerships, social media, and innovative campaign strategies. As the Senior Marketing Manager, Services, you will own the marketing strategy and execution for a rapidly growing category. You will work closely with Product, Creative, Social, Digital Marketing, Merchandising, and Customer Experience teams to drive awareness, engagement, customer acquisition, and revenue growth. If you're energized by building something new, testing bold ideas, and helping shape the future of Cricut's Services business, we'd love to hear from you. What You'll Do Drive Awareness & Demand Generation * Develop and execute marketing strategies that increase awareness, consideration, and adoption of Cricut Services offerings. * Create and launch integrated marketing campaigns across social, email, web, paid media, creator partnerships, PR, and community channels. * Develop compelling messaging and positioning that clearly communicates the value of DTF, Finished T-Shirts, and Creative Lab products. * Identify opportunities to increase visibility and engagement across both existing Cricut members and new audiences. Lead Influencer & Creator Marketing * Build and manage relationships with creators, influencers, ambassadors, and affiliate partners. * Develop creator programs that generate authentic content, product demonstrations, tutorials, reviews, and social engagement. * Identify emerging creators and trends that can help accelerate awareness and adoption. * Partner with influencers to launch campaigns, promotions, events, and product introductions. Create Breakthrough Marketing Campaigns * Develop innovative campaigns that generate buzz and excitement within the crafting, DIY, personalization, and small business communities. * Explore unconventional marketing opportunities, partnerships, events, and activations. * Monitor social trends and cultural moments to identify opportunities for timely and engaging campaigns. * Champion a test-and-learn culture by continuously experimenting with new channels, tactics, and messaging. Partner Across the Business * Collaborate with Product, Creative, Social, Digital Marketing, CRM, Merchandising, and Customer Experience teams. * Support product launches, seasonal campaigns, promotions, and customer lifecycle initiatives. * Ensure consistent messaging and customer experiences across all touchpoints. Measure & Optimize Performance * Define campaign goals, KPIs, and reporting frameworks. * Analyze campaign and channel performance to identify growth opportunities. * Monitor customer acquisition, engagement, conversion, and retention metrics. * Use customer insights and market trends to inform future marketing strategies. ## Qualifications * Bachelor's degree in Marketing, Business, Communications, or related field. * 5+ years of experience in marketing, growth marketing, brand marketing, product marketing, or demand generation. * Proven track record of developing and executing successful marketing campaigns. * Experience working with influencers, creators, ambassadors, or affiliate marketing programs. * Strong understanding of digital marketing channels including social, email, paid media, content, and lifecycle marketing. * Experience managing multiple projects in a fast-paced environment. * Strong analytical and problem-solving skills. * Excellent communication and presentation skills. * Experience in consumer products, e-commerce, crafting, personalization, apparel, creator economy, or related industries is preferred. Preferred Attributes * Creative thinker who consistently brings fresh ideas and challenges conventional approaches. * Deep understanding of social media trends, creator communities, and digital culture. * Passion for building brands and generating excitement around new products and services. * Comfortable testing, learning, and iterating quickly. * Self-starter with strong ownership and accountability. * Highly collaborative and effective in cross-functional environments. * Data-informed decision maker with a growth mindset. * Enthusiastic about helping customers bring their ideas to life. ## Additional Information We’ve Got You Covered At Cricut, we take care of our people. Enjoy competitive Medical, Dental, and Vision coverage, a 401(k) match, generous PTO, tuition reimbursement, and a yearly lifestyle stipend to support your wellness and passions. You’ll also receive exclusive employee discounts—and best of all, you’ll be surrounded by some of the most talented, creative, and curious minds out there. A Quick Note Before You Apply… Cricut is in an exciting chapter of transformation. We’re evolving fast—refining our strategy, growing our teams, and raising the bar across everything we do. This is an incredible opportunity for the right kind of person—but it’s not for everyone. We’re looking for A-players—people who thrive in dynamic environments, turn challenges into momentum, and consistently deliver their best work. If that sounds like you, read on. Here’s what makes someone a great fit for this role (and for this moment at Cricut): * You move with urgency. You don’t wait for perfect clarity to act—you start, learn, and adjust. * You set high standards. You take ownership, deliver quality, and hold yourself accountable. * You stay focused when things move fast. You prioritize what matters most and tune out the noise. * You collaborate like a pro. You elevate others, communicate clearly, and bring a low-ego, high-output energy. * You embrace AI as part of your toolkit. From idea exploration to data analysis and creative problem-solving, you leverage AI to accelerate innovation and amplify impact—because technology and creativity go hand-in-hand here. Relocation Statement: * This position is eligible for relocation assistance. What to Do Next: Please attach your resume, cover letter and/or include links to your portfolio or other social presence. If you want to show your super powers in other ways – include that information too. You can be sure that Cricut® is an employer who values individuality, equality and diversity, so tell us what you’re all about. If you are a Maker or a DIY enthusiast, whether you think you are a good one or not, we would love to hear about it when you send us your information. Cricut® is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. This position is contingent on successfully completing a Criminal Background Check upon hire. Cricut participates in E-Verify.", "summaryDescription" : "Senior Marketing Manager at Cricut. Skills: Brand strategy, Customer acquisition, Campaign management, Growth metrics. Develop brand strategy. Drive customer acquisition", "postedDate" : "2026-06-15T21:33:01.000", "createdAt" : "2026-06-16T03:34:46.054", "lastUpdated" : "2026-06-16T11:05:00.424", "ingestTimestamp" : "2026-06-16T03:34:46.054", "mongoId" : "6a308dfef292fd229c0a1f14", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 125000, "salaryAnnualMax" : 175000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Brand strategy", "Customer acquisition", "Campaign management", "Growth metrics" ], "skillCount" : 4, "jobCategory" : "marketing", "jobSubcategory" : "growth", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "_score" : 916.80634, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2cb20d74d8ee00a09df5e4", "title" : "Marketing Analytics Manager", "industry" : "Marketing", "salary" : { "min" : 72000.0, "max" : 108000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Bulgaria, adjusted for Manager seniority in the Technology industry." }, "location" : "US", "locations" : [ "US" ], "timestamp" : "2026-06-15T23:00:50.469", "fingerprint" : "40972c878b3fc7bfaf448fda2617a6c380401275eabe1858cfe0cd12cc420a1c", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/jobgether/c050b39a-32c8-4e61-991b-7abe13265ad3/apply", "externalId" : "c050b39a-32c8-4e61-991b-7abe13265ad3", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceLevel" : "Manager", "technicalSkills" : "Tableau, Power BI, Looker, Excel, Salesforce, HubSpot, Marketo, Eloqua", "professionalSkills" : [ "Marketing analytics strategy", "Performance measurement", "Data visualization", "Data storytelling", "Financial modeling", "Budgeting", "Forecasting", "Investment planning", "Predictive modeling", "Advanced analyses", "Attribution models", "Process execution" ], "hardSkillsList" : [ "KPI definition", "Funnel performance analysis", "ROI analysis", "Customer acquisition analysis", "Spend optimization", "Resource allocation", "Scenario forecasting", "Reporting standards", "Lead routing" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "KPI definition", "level" : "intermediate" }, { "name" : "Funnel performance analysis", "level" : "intermediate" }, { "name" : "ROI analysis", "level" : "intermediate" }, { "name" : "Customer acquisition analysis", "level" : "intermediate" }, { "name" : "Spend optimization", "level" : "intermediate" }, { "name" : "Resource allocation", "level" : "intermediate" }, { "name" : "Scenario forecasting", "level" : "intermediate" }, { "name" : "Reporting standards", "level" : "intermediate" }, { "name" : "Lead routing", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Marketing analytics, Data storytelling, Financial modeling, Executive reporting", "majorSkillsList" : [ "Marketing analytics", "Data storytelling", "Financial modeling", "Executive reporting" ], "coreResponsibilities" : "Define KPIs, Maintain KPIs, Define dashboards, Maintain dashboards, Define performance measurement frameworks, Maintain performance measurement frameworks, Evaluate campaign effectiveness, Evaluate funnel performance, Evaluate ROI, Evaluate customer acquisition trends, Translate datasets into recommendations, Improve marketing efficiency, Optimize marketing spend, Support business growth, Own executive reporting, Own board-level reporting, Provide monthly performance updates, Provide quarterly performance updates, Provide strategic presentations, Connect marketing activity to business outcomes, Manage marketing budgets, Manage forecasting, Manage financial modeling, Manage investment planning, Ensure effective resource allocation, Develop predictive models, Develop advanced analyses, Support strategic planning, Support scenario forecasting, Support performance optimization, Align metrics, Align attribution models, Align reporting standards, Manage one direct report, Mentor one direct report, Ensure operational excellence, Ensure continuous improvement, Leverage AI-driven tools, Enhance reporting efficiency, Improve forecasting accuracy, Streamline analytics workflows", "teamCollaboration" : "Partner with Marketing leadership; Partner with Finance leadership; Collaborate with Sales; Collaborate with Revenue Operations; Collaborate with Product; Collaborate with Customer Success; Collaborate with Executive teams; Influence stakeholders", "projectManagementSkills" : [ "Budgeting", "Forecasting", "Investment planning" ], "domainKnowledge" : "Marketing analytics; Revenue operations; Modern data-driven marketing", "domainList" : [ "marketing-analytics", "revenue-operations", "modern-data-driven-marketing" ], "domainSpecificKnowledge" : [ "Marketing analytics", "Revenue operations", "Modern data-driven marketing" ], "toolProficiency" : [ "Tableau", "Power BI", "Looker", "Excel", "Salesforce", "HubSpot", "Marketo", "Eloqua" ], "communicationSkills" : "Executive reporting; Board-level reporting; Data storytelling; Strategic presentations", "innovationCreativity" : "AI-driven tools; Predictive modeling; Automation", "problemSolvingSkills" : "Problem-solving skills; Analytical skills", "outcomesObjectives" : "Improve marketing efficiency; Optimize marketing spend; Support business growth; Ensure effective resource allocation; Enhance reporting efficiency; Improve forecasting accuracy; Streamline analytics workflows", "qualificationsBasic" : "5+ years of experience in marketing analytics, Proven experience delivering executive-level reporting, Advanced proficiency in Excel, Experience working with CRM, Experience working with marketing automation systems, Experience managing marketing budgets, Experience forecasting, Experience performance measurement frameworks, Bachelor’s degree in Marketing, Business, Economics, Statistics, Finance, or equivalent experience", "qualificationsPreferred" : "Prior people management experience, Leadership of cross-functional initiatives", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "## Accountabilities Lead marketing analytics strategy by defining and maintaining KPIs, dashboards, and performance measurement frameworks that evaluate campaign effectiveness, funnel performance, ROI, and customer acquisition trends. Deliver actionable insights by translating complex datasets into clear recommendations that improve marketing efficiency, optimize spend, and support business growth. Own executive and board-level reporting, including monthly and quarterly performance updates, strategic presentations, and data storytelling that connects marketing activity to business outcomes. Partner with Marketing and Finance leadership to manage budgeting, forecasting, financial modeling, and investment planning to ensure effective resource allocation. Develop predictive models and advanced analyses to support strategic planning, scenario forecasting, and performance optimization. Collaborate cross-functionally with Sales, Revenue Operations, Product, Customer Success, and Executive teams to align metrics, attribution models, and reporting standards. Manage and mentor one direct report responsible for marketing operations support, lead routing, and process execution, ensuring operational excellence and continuous improvement. Leverage AI-driven tools and automation to enhance reporting efficiency, improve forecasting accuracy, and streamline analytics workflows. Requirements: 5+ years of experience in marketing analytics, business analytics, revenue operations, finance analytics, or similar data-driven roles. Proven experience delivering executive-level reporting, presentations, and data-driven recommendations to senior leadership and board-level stakeholders. Strong expertise in data visualization and BI tools such as Tableau, Power BI, Looker, or equivalent platforms. Advanced proficiency in Excel and experience working with CRM and marketing automation systems such as Salesforce, HubSpot, Marketo, or Eloqua. Experience managing marketing budgets, forecasting, and performance measurement frameworks in a complex business environment. Strong analytical, problem-solving, and storytelling skills with the ability to translate data into strategic business insights. Familiarity with AI-powered analytics tools, automation, predictive analytics, and modern data-driven marketing practices. Experience working in cross-functional environments and influencing stakeholders across Marketing, Sales, Finance, and Product teams. Bachelor’s degree in Marketing, Business, Economics, Statistics, Finance, or a related field, or equivalent experience. Prior people management experience or leadership of cross-functional initiatives is a strong plus. Benefits: Competitive salary range of $95,900–$137,200, plus bonus eligibility. Comprehensive benefits package including medical, dental, and vision insurance. 401(k) retirement savings plan, health savings account options, and life insurance coverage. Paid time off, sick leave, and parental leave to support work-life balance. Employee assistance program, mental health resources, and wellness support services. Additional perks such as pet insurance and employee support programs. Remote work flexibility within a full-time structure. Inclusive and equal opportunity workplace with accommodations available throughout the hiring process. ## Additional Information How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1", "summaryDescription" : "Marketing Analytics Manager. Skills: Marketing analytics, Data storytelling, Financial modeling, Executive reporting. Define KPIs. Maintain KPIs", "postedDate" : "2026-06-12T06:37:44.070", "createdAt" : "2026-06-12T06:37:44.070", "lastUpdated" : "2026-06-15T23:00:50.469", "ingestTimestamp" : "2026-06-14T22:11:53.554", "mongoId" : "6a2cb20d74d8ee00a09df5e4", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "KPI definition", "Funnel performance analysis", "ROI analysis", "Customer acquisition analysis", "Spend optimization", "Resource allocation", "Scenario forecasting", "Reporting standards", "Lead routing", "Leadership", "Marketing analytics", "Data storytelling", "Financial modeling", "Executive reporting", "Marketing analytics strategy", "Performance measurement", "Data visualization", "Budgeting", "Forecasting", "Investment planning", "Predictive modeling", "Advanced analyses", "Attribution models", "Process execution", "Revenue operations", "Modern data-driven marketing", "Tableau", "Power BI", "Looker", "Excel", "Salesforce", "HubSpot", "Marketo", "Eloqua" ], "skillCount" : 34, "jobCategory" : "marketing", "jobSubcategory" : "growth", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "_score" : 903.15314, "daysOld" : 3, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2a914e74d8ee00a068dc40", "title" : "Analytics Manager, Marketing Analytics", "company" : "Wolt", "salary" : { "min" : 75000.0, "max" : 110000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an Analytics Manager in E-Commerce in Berlin, Germany, adjusted for manager seniority and full-time employment." }, "location" : "Berlin, Germany", "locations" : [ "Berlin", "Germany", "Helsinki", "Finland", "London", "United Kingdom", "Stockholm", "Sweden" ], "timestamp" : "2026-06-14T22:11:03.932", "fingerprint" : "b448fe58cd4818db8868d043fcdf0ee24ec1114838113d97237114c76145e29f", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/wolt/jobs/7992265", "externalId" : "7992265", "structuredLocations" : [ { "city" : "Berlin", "country" : "Germany", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "52.5173885,13.3951309" }, { "city" : "London", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "51.5074456,-0.1277653" }, { "city" : "Helsinki", "country" : "Finland", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "60.1666204,24.9435408" }, { "city" : "Stockholm", "country" : "Sweden", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "59.3251172,18.0710935" }, { "country" : "Germany", "continent" : "eu", "workMode" : "remote" }, { "country" : "United Kingdom", "continent" : "eu", "workMode" : "remote" }, { "country" : "Finland", "continent" : "eu", "workMode" : "remote" }, { "country" : "Sweden", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Berlin, Germany; London, United Kingdom; Helsinki, Finland; Stockholm, Sweden; Germany; United Kingdom; Finland; Sweden", "experienceLevel" : "Manager", "technicalSkills" : "SQL, Python, R", "professionalSkills" : [ "Marketing strategies", "Business partnership", "Project management" ], "hardSkillsList" : [ "Data Analytics", "Data Science", "Statistical analysis", "Marketing analytics", "Measurement concepts" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "Data Analytics", "level" : "intermediate" }, { "name" : "Data Science", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Marketing analytics", "level" : "intermediate" }, { "name" : "Measurement concepts", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "Marketing analytics, Data science, Leadership", "majorSkillsList" : [ "Marketing analytics", "Data science", "Leadership" ], "coreResponsibilities" : "Define analytics roadmap, Prioritize business questions, Ensure work leads to clear decisions, Shape the future of initiatives, Define key performance indicators, Monitor key performance indicators, Brainstorm growth investment opportunities, Establish marketing investment framework, Lead team of Data Scientists, Coach team of Data Scientists, Develop team of Data Scientists, Improve marketing decisions, Improve marketing outcomes", "teamCollaboration" : "Cross-functional teams; Senior business leaders; Product leaders", "projectManagementSkills" : [ "Project management" ], "domainKnowledge" : "Marketing analytics; Experimentation; Attribution; Media mix modeling; Marketing measurement", "domainList" : [ "marketing-analytics", "experimentation", "attribution", "media-mix-modeling", "marketing-measurement" ], "domainSpecificKnowledge" : [ "Marketing analytics", "Experimentation", "Attribution", "Media mix modeling", "Marketing measurement" ], "communicationSkills" : "Clear communication; Business partnership", "innovationCreativity" : "0-to-1 growth investment opportunities", "problemSolvingSkills" : "Analytical work", "outcomesObjectives" : "Turn analytical work into decisions; Turn analytical work into actions; Turn analytical work into measurable impact", "qualificationsBasic" : "6+ years of experience in Data Analytics or Data Science, 2+ years of leadership experience, Experience in leading large teams, Expertise with SQL, Statistical analysis using Python, R, or equivalent, Understanding of experimentation, Understanding of attribution, Understanding of media mix modeling, Understanding of marketing measurement concepts, Clear communication skills, Business partnership skills", "qualificationsPreferred" : "Experience in hiring and mentoring skilled members for data science teams, Pragmatic approach to applying marketing measurement concepts to business decisions", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "About Wolt At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we’re building the delivery of (almost) everything and you’ll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe. Working at Wolt isn’t always easy, but it’s definitely exciting. Here you’ll learn more, build more, and ship more than in most other companies. You’ll be challenged a lot, but also have a lot of fun on the way. So, if you’re a self-starter with drive and entrepreneurial spirit, this could be the ride of your life. We’re looking for an experienced Analytics Manager to join Wolt in Berlin, Stockholm, Helsinki, or London! About the Marketing Analytics team In the Marketing Analytics team, we are focused on improving the effectiveness of our marketing spend and boosting Wolt’s growth. We work across a broad set of marketing questions, helping teams understand what is working, where to invest, and how to improve marketing performance across Wolt. We partner with Marketing, Product, and Strategy & Operations teams closely to guide measurement and tactical decision-making using advanced analytics. Considering the scale of Wolt’s marketing function, there are many exciting problems to be solved and plenty of opportunities to make a business impact! You’ll be part of this team working with top Data Science and Analytics Engineering professionals. As we grow the next level of maturity in Marketing Analytics, you’ll help shape the roadmap, develop the team, and build the operating rhythm that turns analysis into better business decisions. What you’ll be doing As an Analytics Manager at Wolt, you are essential in revolutionizing our marketing strategies. You’ll define the analytics roadmap for the team, prioritize the most important business questions, and ensure the work leads to clear decisions and follow-through. Acting as a critical partner to senior business and product leaders, this role will drive the Marketing domain forward, shaping the future of our initiatives. Key responsibilities include defining and monitoring key performance indicators to gauge the effectiveness of innovative marketing initiatives. The role offers an exciting opportunity to brainstorm 0-to-1 growth investment opportunities and establish the foundation for our marketing investment framework. You’ll lead, coach, and develop a team of Data Scientists, helping them stay close to the business and deliver work that improves marketing decisions and outcomes. Success in this role requires exceptional leadership and project management skills, along with strong communication and interpersonal abilities. Collaborating effectively with cross-functional teams will be crucial in fostering a culture of shared success and innovation. This position offers a thrilling opportunity to shape the future of growth at Wolt! Our humble expectations 6+ years of experience in a Data Analytics or Data Science position, with 2+ years of leadership experience. Experience in leading large teams (5-10 direct reports) Prior experience in hiring and mentoring skilled members for your data science teams. Expertise with SQL and statistical analysis using Python, R, or equivalent. Strong understanding of experimentation, attribution, media mix modeling, and marketing measurement concepts, with a pragmatic approach to applying them to business decisions. Clear communication and strong business partnership skills, with a track record of turning analytical work into decisions, actions, and measurable impact. What we offer The online delivery platform that Wolt is building will offer you interesting and complex challenges, together with the opportunities to create a big impact with your skills. Lots of geolocational and temporal data in real-time, combined with differences in the economics and dynamics of the cities we operate in, make Wolt both a challenging and interesting company to practice analytics! You can choose the location from our tech hubs in Berlin, London, Helsinki or Stockholm. You have the chance to decide the ways of working: hybrid, at the office, or remote within Germany, the UK, Finland or Sweden. \uD83D\uDC99 You would get to work in a company culture where we take ownership beyond the obvious, do common things uncommonly well, we think big but stay humble, do right by people, we treat others kindly and justly, recognize that if we don’t learn, we won’t stay still but fall behind and keep in mind that Luke was Yoda’s greatest achievement. Next steps The position will be filled as soon as we find the right person, so make sure to apply as soon as you realize you really, really want to join us! For any further questions about the position, you can turn to Senior Talent Acquisition Partner - Zhanna Filintseva via zhanna.filintseva@wolt.com Our Commitment to Diversity and Inclusion We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.", "summaryDescription" : "Analytics Manager, Marketing Analytics at Wolt. Skills: Marketing analytics, Data science, Leadership. Define analytics roadmap. Prioritize business questions", "postedDate" : "2026-06-11T20:37:44.337", "createdAt" : "2026-06-11T20:37:44.337", "lastUpdated" : "2026-06-14T22:11:03.932", "ingestTimestamp" : "2026-06-11T20:37:44.337", "mongoId" : "6a2a914e74d8ee00a068dc40", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Data Analytics", "Data Science", "Statistical analysis", "Marketing analytics", "Measurement concepts", "Leadership", "Mentoring", "Data science", "Marketing strategies", "Business partnership", "Project management", "Experimentation", "Attribution", "Media mix modeling", "Marketing measurement" ], "skillCount" : 15, "jobCategory" : "other", "jobSubcategory" : "analytics", "dataQualityScore" : 0.8888889, "_score" : 900.89856, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a306538f292fd229cfa6334", "title" : "Senior Marketing Manager, Product Marketing", "company" : "Industrious", "industry" : "All Departments", "salary" : { "min" : 145000.0, "max" : 160000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "NYC - 12 E 49th St (Tower 49)", "locations" : [ "NYC - 12 E 49th St (Tower 49)", "Austin", "Chicago" ], "timestamp" : "2026-06-16T11:19:11.977", "fingerprint" : "efccd6936cee0425c75f037b735fd36302130abbebe30d49bceeec3baecbf451", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/industrious/be9be96f-204a-47fb-93a5-7897e360f07d/application", "externalId" : "be9be96f-204a-47fb-93a5-7897e360f07d", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "majorSkills" : "Brand strategy, Customer acquisition, Campaign management, Growth metrics", "majorSkillsList" : [ "Brand strategy", "Customer acquisition", "Campaign management", "Growth metrics" ], "coreResponsibilities" : "Develop brand strategy, Drive customer acquisition, Manage marketing campaigns, Track growth metrics", "remoteFriendly" : true, "rawDescription" : " About Industrious Industrious is the largest premium workplace-as-a-service provider and home to the highest-rated workplaces in the industry. Everything we do comes down to creating great days for teams of all sizes and stages, including our own. We believe that what makes a great day at work is the people on your team and the problems you get to solve together. We're looking for people who love thinking outside the box and thrive in a truly collaborative setting. Great days also start when everyone can be their authentic self at work. Diversity of backgrounds, thoughts, and ideas is critical to our success in delivering great workplace experiences, both for our members and for each other. Industrious is committed to creating an inclusive, respectful environment that embraces your individuality and quirkiness. You are valued for who YOU are. About the Role Industrious is hiring its first-ever Sr. Marketing Manager, Product Marketing — a foundational role that will shape how we bring our growing portfolio of products, brands, and experiences (digital and physical) to market. This is a builder's role. You'll establish the product marketing function from scratch, create the frameworks and processes that don't yet exist, and become the connective tissue between Marketing, Product, Sales, and our business lines. From positioning and messaging architecture to GTM strategy and sales enablement, you'll be the person who ensures Industrious tells a clear, compelling, and consistent story across every product and brand. In addition to our core Industrious products and brand, you'll own and support some of our highest-priority commercial bets: driving the launches of new brands, scaling our non-private office product lines, partnering on digital product GTM including our mobile app, and supporting our growing Large Teams customer segment. If you're energized by building something from the ground up, influencing strategy across a complex organization, and are a hands-on executor with strong project management capabilities, this role is for you. What You'll Do Positioning & Messaging - Develop and own positioning and messaging frameworks across all of Industrious's core product lines: Private Office, Team Suites, Access (Coworking), Day Passes, Meeting Rooms, and emerging innovations like Private Offices by the Hour - Build and maintain positioning docs, messaging hierarchies, and competitive positioning for Industrious and its house of brands. - Translate complex product capabilities and workspace concepts into simple, compelling narratives that resonate with distinct buyer segments - Serve as the internal expert on how each product and brand is differentiated in the market, and evangelize that clarity across the organization Go-to-Market Strategy & Launch Execution - Own GTM strategy and launch execution for high-priority new brand launches — ensuring alignment across marketing, sales, product, and operations - Support GTM strategy for the Large Teams segment, directly in service of the pipeline of deals - Develop and execute go-to-market plans for digital product launches, including new features and enhancements to the Industrious mobile app, in close partnership with the Digital Product team - Build scalable GTM frameworks and launch playbooks that can be repeated and refined as new products, markets, and innovations are introduced Creative & Sales Enablement - Be the connective tissue and owning the briefing between business units and our creative teams to get high quality marketing and sales materials delivered. This includes everything from updating the website, to creating, updating, and maintaining sales enablement collateral. - Own sales enablement across all brands and product lines — developing the materials, narratives, and tools that help our teams close deals with confidence and ensure our marketing materials are up to date! - Partner closely with cross functional leaders to understand what's working in the field and continuously sharpen the stories and tools we put in their hands. Market & Buyer Intelligence - Help define the buyer/member segments, ICPs, and personas across Industrious's priority markets and product lines - Synthesize market research, competitive intelligence, member feedback, and field insights into actionable inputs for product strategy, messaging, and GTM priorities - Monitor the competitive landscape — flex space, coworking, and adjacent real estate and workplace solutions — and deliver insights that sharpen how we differentiate Cross-Functional Partnership - Act as a close collaborator and strategic partner to Digital Product, Marketing, Non-Private Office business lines, Managed By product lines, and Sales - Help our product and business leaders make better decisions about roadmap priorities, packaging, and positioning based on market intel and customer insights. - Be the initial author of the the operating model, tools, and processes for a product marketing function that can scale with the business You'll Love This Role If... - You're excited (not intimidated) by being the first person to build something in a complex environment. You see the blank page as an opportunity. - You're equally comfortable thinking strategically and executing hands-on. You'll write the framework and then write the one-pager. - You thrive in highly cross-functional environments and are naturally good at building trust and alignment with people across Product, Sales, Marketing and executive level leadership. - You have strong instincts for what makes a story land — and the craft to bring it to life in a deck, a doc, or a conversation with a senior stakeholder. - You're commercially minded. You care about how your work connects to pipeline, revenue, and business outcomes — not just a pretty deck. This Role Isn't For You If... - You prefer a clearly scoped lane where processes and playbooks are already established. - You're looking for a role focused on a single channel or a single product — this role spans brands, product lines, and functions. - You want to hand off execution to others once strategy is set. Here, you own both. - You're not energized by working in a fast-moving, ambiguous environment where priorities can shift with the business. What You'll Need - 5-7 years of experience in product marketing, GTM strategy, or closely related marketing roles in a multi-product environment centered around experiences. - Demonstrated experience developing positioning, messaging frameworks, and go-to-market strategies — ideally across multiple products or segments simultaneously - Experience launching products or services end-to-end, from strategy through execution and measurement - Strong communicator and storyteller — able to distill complex ideas into crisp narratives and influence stakeholders at all levels - Experience working closely with product, marketing, creative, and leadership teams to develop and launch new experiences. - Background in flex space, hospitality, real estate, SaaS, or other experiential or multi-location businesses preferred - Comfort operating in ambiguity and building structure where none exists — this is a function of one, and you'll be setting the foundation - Proficiency in Google Suite; familiarity with tools like HubSpot, Airtable, or similar a plus - Bachelor's degree in Marketing, Business, or a related field; MBA a plus Compensation The base salary for this role is $145,000-$160,000, depending on experience, skills, and role alignment. This role is also eligible for an annual bonus and participation in our long-term incentive program. But compensation is only part of the story. At Industrious, we believe a good workplace supports the whole person. Not just the work they do. Our benefits are designed to give people the stability, flexibility, and room to grow that make a career sustainable. Our Benefits May Include: - Heavily subsidized medical, dental, and vision plans to support you and your family - Flexible paid time off, to maintain balance - Paid parental leave to help you welcome a new child and focus on what matters most - Annual professional development grants so you can keep learning and growing - 401(k) retirement savings program to support long-term financial wellbeing - Wellness initiatives and additional employee support programs - Specific benefits may vary by role, location, and eligibility requirements Equal Employment Opportunity: Industrious is an equal opportunity employer that values diversity. We have a long-standing commitment to providing equal employment opportunity to all qualified applicants regardless of race, color, religion, national origin, sex, sexual orientation, gender identity, pregnancy, age, citizenship, marital status, disability, veteran status, political belief, or any other basis protected by applicable law. ", "summaryDescription" : "Senior Marketing Manager, Product Marketing at Industrious. Skills: Brand strategy, Customer acquisition, Campaign management, Growth metrics. Develop brand strategy. Drive customer acquisition", "createdAt" : "2026-06-16T00:25:24.955", "lastUpdated" : "2026-06-16T11:19:11.977", "ingestTimestamp" : "2026-06-16T00:25:24.955", "mongoId" : "6a306538f292fd229cfa6334", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 145000, "salaryAnnualMax" : 160000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Brand strategy", "Customer acquisition", "Campaign management", "Growth metrics" ], "skillCount" : 4, "jobCategory" : "marketing", "jobSubcategory" : "growth", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 900.5267, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Real Estate", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2ca3ba74d8ee00a09ad6b0", "title" : "Senior Customer Marketing Manager, eCommerce", "company" : "Hasbro", "industry" : "E-Commerce", "salary" : { "min" : 70000.0, "max" : 105000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Customer Marketing Manager in the UK, adjusted for seniority, the e-commerce industry, and the Uxbridge location." }, "location" : "United Kingdom", "locations" : [ "United Kingdom" ], "timestamp" : "2026-06-15T09:24:02.204", "fingerprint" : "b9095779f02affc1e9bec9227af5a3a0be4feae340711c9daccccaeeb2302bca", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/hasbro/jobs/4246440009", "externalId" : "4246440009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Uxbridge", "state" : "West London", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "51.5110516,-0.3184942" } ], "locationText" : "Uxbridge, West London, United Kingdom", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "professionalSkills" : [ "Commercial thinking", "Strategic mindset", "Project management", "Stakeholder management" ], "hardSkillsList" : [ "Data interpretation", "Budget management" ], "softSkillsList" : [ "Leadership", "Influencing", "Negotiation" ], "hardSkills" : [ { "name" : "Data interpretation", "level" : "intermediate" }, { "name" : "Budget management", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Influencing" }, { "name" : "Negotiation" } ], "majorSkills" : "Customer marketing, ECommerce, Digital shelf optimisation", "majorSkillsList" : [ "Customer marketing", "ECommerce", "Digital shelf optimisation" ], "coreResponsibilities" : "Own EMEA eCommerce marketing plan, Turn brand priorities into activation, Lead Amazon activations, Set KPIs, Track performance, Optimize activity, Drive digital shelf execution, Improve onsite content, Improve SEO, Improve visibility, Improve conversion, Build partnerships with customers, Build partnerships with Key Account Managers, Build partnerships with local markets, Deliver joint plans, Deliver retailer-ready campaigns, Use data for improvement, Use shopper insight for improvement, Use analytics for improvement, Manage budgets effectively, Identify investment areas, Lead direct report, Develop direct report, Influence cross-functional teams, Partner with global stakeholders, Partner with regional stakeholders, Embed best practice, Raise eCommerce execution standard", "teamCollaboration" : "Cross-functional teams; Key Account Managers; Local markets; Global stakeholders; Regional stakeholders", "projectManagementSkills" : [ "Project management", "Prioritisation" ], "domainKnowledge" : "eCommerce; Digital commerce; FMCG; Consumer products; Amazon; Digital shelf optimisation; Onsite content; SEO; Conversion optimisation", "domainList" : [ "ecommerce", "digital-commerce", "fmcg", "consumer-products", "amazon", "digital-shelf-optimisation", "onsite-content", "seo", "conversion-optimisation" ], "domainSpecificKnowledge" : [ "eCommerce", "Digital commerce", "FMCG", "Consumer products", "Amazon", "Digital shelf optimisation", "Onsite content", "SEO", "Conversion optimisation" ], "communicationSkills" : "Communication; Influencing; Stakeholder management", "innovationCreativity" : "Innovation", "outcomesObjectives" : "Deliver measurable commercial results; Deliver growth", "qualificationsBasic" : "Bachelor's degree in Marketing, Equivalent experience, ECommerce experience, Customer marketing experience, Digital commerce experience, FMCG experience, Consumer products experience, Leading retailer marketing activations, Amazon experience", "qualificationsPreferred" : "Digital shelf optimisation experience, Onsite content experience, SEO experience, Conversion-led activity experience", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "We take play seriously. We’re looking for curious adventurers ready to find their party, fueled by imagination and drive to build what’s never been built before. At Hasbro and Wizards of the Coast, you’ll collaborate with passionate teams to reimagine our iconic brands and create experiences that spark joy, connection, and community through the magic of play. This is your chance to shape legendary play that lasts a lifetime. Senior Customer Marketing Manager, eCommerce – EMEA Based in Stockley Park, Uxbridge, West London, UK. Hybrid working: three days a week in the office (Tuesday, Wednesday and Thursday), with flexibility to work from home on Monday and Friday. As the Senior Customer Marketing Manager, eCommerce – EMEA, you will lead the online customer marketing agenda across key EMEA retailers, shaping how shoppers discover, engage with and buy our brands. This is a high-impact role combining strategy, execution, and commercial influence to drive growth across Pureplay and omnichannel partners. Specific Responsibilities/ Tasks Own the EMEA eCommerce marketing plan, turning brand priorities into high-impact activation across key online retailers. Lead Amazon activations across the EU, setting KPIs, tracking performance, and optimising activity to deliver growth. Drive best-in-class digital shelf execution, improving onsite content, SEO, visibility, and conversion. Build strong partnerships with customers, Key Account Managers, and local markets to deliver joint plans and retailer-ready campaigns. Use data, shopper insight, and analytics to continuously improve campaigns, content, and return on investment. Manage budgets effectively, identifying where to invest for the strongest commercial impact. Lead and develop one direct report while influencing cross-functional teams across the region. Partner with global and regional stakeholders to embed best practice and raise the standard of eCommerce execution across EMEA. Education and Experience required Bachelor’s degree in Marketing, Business, or a related field, or equivalent experience. Strong experience in eCommerce, customer marketing, or digital commerce within FMCG, consumer products, or a similar fast-paced environment. Proven track record of leading retailer marketing activations and delivering measurable commercial results, ideally with Amazon. Experience in digital shelf optimisation, onsite content, SEO, and conversion-led activity. Able to manage budgets, interpret performance data, and influence stakeholders across markets and functions. Knowledge and Skills required Strong commercial thinking with the ability to turn insight into action. Strategic mindset with a focus on innovation, optimisation, and growth. Excellent communication, influencing, and stakeholder management skills. Strong project management and prioritisation skills across multiple workstreams. Comfortable working independently in a fast-paced, changing environment. Behaviours required Highly organised, proactive, and delivery-focused. Commercially minded with strong judgement and ownership. Collaborative and influential, able to build strong relationships across teams and markets. Agile and resilient, comfortable navigating change and ambiguity. Curious, solutions-focused, and always looking for better ways to improve performance. We Play to Win with our Leadership Values Knowing is Half the Battle Break the Mold Take Charge Be Legendary Friendship is Magic Matrix of Leadership Employees may be eligible for annual and long-term incentives as part of their overall compensation package, depending on role, location, and eligibility. Benefits and programs may include: Health & Wellness Time Off to Recharge Financial Well-being Life & Family Support Volunteer and Community Initiatives Learning & Development Exclusive Perks Please review our Applicant Privacy Notice to learn how we collect, use, and protect your personal information in connection with the application process.", "summaryDescription" : "Senior Customer Marketing Manager, eCommerce at Hasbro. Skills: Customer marketing, ECommerce, Digital shelf optimisation. Own EMEA eCommerce marketing plan. Turn brand priorities into activation", "postedDate" : "2026-06-14T04:06:02.651", "createdAt" : "2026-06-14T04:06:02.651", "lastUpdated" : "2026-06-15T09:24:02.204", "ingestTimestamp" : "2026-06-14T04:06:02.651", "mongoId" : "6a2ca3ba74d8ee00a09ad6b0", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Data interpretation", "Budget management", "Leadership", "Influencing", "Negotiation", "Customer marketing", "ECommerce", "Digital shelf optimisation", "Commercial thinking", "Strategic mindset", "Project management", "Stakeholder management", "Prioritisation", "eCommerce", "Digital commerce", "FMCG", "Consumer products", "Amazon", "Onsite content", "SEO", "Conversion optimisation" ], "skillCount" : 21, "jobCategory" : "marketing", "jobSubcategory" : "growth", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "_score" : 888.5378, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "E-Commerce", "llmIndustryConfidence" : 0.97 }, { "id" : "6a2c8bd574d8ee00a0973e1b", "title" : "Senior Manager, Digital Analytics", "company" : "Gen Digital", "industry" : "Finance & Business Performance", "salary" : { "min" : 188000.0, "max" : 216000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "USA - New York, NY", "locations" : [ "USA - New York, NY", "USA - Mountain View, CA", "USA - Tempe, AZ" ], "timestamp" : "2026-06-15T09:34:34.880", "fingerprint" : "c93a3afcf2d70c0ae2aeecbdbc3bbd2db7e07358057602c1003da46180cd0750", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/gen-digital/5aad1b19-6093-4b34-9137-034ca5712d94/application", "externalId" : "5aad1b19-6093-4b34-9137-034ca5712d94", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "technicalSkills" : "JavaScript, HTML, CSS, SQL", "professionalSkills" : [ "Data layer strategy", "Tag governance", "Web instrumentation", "Marketing tagging", "Privacy compliance" ], "hardSkillsList" : [ "Web analytics", "Tag management", "Data collection", "Data structuring", "Data flow management", "Schema definition", "Naming conventions", "Event taxonomy", "Variable standards", "Client-side tagging", "Server-side tagging", "Data fidelity", "Privacy compliance", "Tag audits", "QA validation", "Third-party tag configuration", "User behavior tracking", "Funnel tracking", "Event tracking", "SPA tracking", "Debugging", "SDK integration", "Conversion attribution", "Consent management", "Cookie governance" ], "hardSkills" : [ { "name" : "Web analytics", "level" : "intermediate" }, { "name" : "Tag management", "level" : "intermediate" }, { "name" : "Data collection", "level" : "intermediate" }, { "name" : "Data structuring", "level" : "intermediate" }, { "name" : "Data flow management", "level" : "intermediate" }, { "name" : "Schema definition", "level" : "intermediate" }, { "name" : "Naming conventions", "level" : "intermediate" }, { "name" : "Event taxonomy", "level" : "intermediate" }, { "name" : "Variable standards", "level" : "intermediate" }, { "name" : "Client-side tagging", "level" : "intermediate" }, { "name" : "Server-side tagging", "level" : "intermediate" }, { "name" : "Data fidelity", "level" : "intermediate" }, { "name" : "Privacy compliance", "level" : "intermediate" }, { "name" : "Tag audits", "level" : "intermediate" }, { "name" : "QA validation", "level" : "intermediate" }, { "name" : "Third-party tag configuration", "level" : "intermediate" }, { "name" : "User behavior tracking", "level" : "intermediate" }, { "name" : "Funnel tracking", "level" : "intermediate" }, { "name" : "Event tracking", "level" : "intermediate" }, { "name" : "SPA tracking", "level" : "intermediate" }, { "name" : "Debugging", "level" : "intermediate" }, { "name" : "SDK integration", "level" : "intermediate" }, { "name" : "Conversion attribution", "level" : "intermediate" }, { "name" : "Consent management", "level" : "intermediate" }, { "name" : "Cookie governance", "level" : "intermediate" } ], "majorSkills" : "Web measurement infrastructure, Data layer specification, Tealium tag governance, Amplitude analytics", "majorSkillsList" : [ "Web measurement infrastructure", "Data layer specification", "Tealium tag governance", "Amplitude analytics" ], "coreResponsibilities" : "Define data layer specification, Maintain data layer schema, Establish naming conventions, Approve data layer changes, Own Tealium iQ implementation, Lead tag deployment strategy, Define tag governance standards, Onboard third-party vendor tags, Define instrumentation strategy, Implement data layer pushes, Own QA and validation process, Drive instrumentation-first development, Own marketing tag ecosystem, Manage cookie governance framework", "teamCollaboration" : "Partner with product engineering; Partner with product management; Partner with data engineering; Partner with marketing teams; Partner with adtech teams; Liaise with legal; Liaise with engineering", "domainKnowledge" : "Digital analytics; Tag management; Web instrumentation; Marketing tagging; Privacy regulations; GDPR; CCPA/CPRA; ePrivacy; Cookie governance; Consent management; Server-side tagging; Customer data platforms", "domainList" : [ "digital-analytics", "tag-management", "web-instrumentation", "marketing-tagging", "privacy-regulations", "gdpr", "ccpa-cpra", "eprivacy", "cookie-governance", "consent-management", "server-side-tagging", "customer-data-platforms" ], "domainSpecificKnowledge" : [ "Digital analytics", "Tag management", "Web instrumentation", "Marketing tagging", "Privacy regulations", "GDPR", "CCPA/CPRA", "ePrivacy", "Cookie governance", "Consent management", "Server-side tagging", "Customer data platforms" ], "toolProficiency" : [ "Tealium", "Amplitude", "Google Tag Manager", "Adobe Launch", "OneTrust", "Cookiebot", "FullStory", "Heap" ], "communicationSkills" : "Translate technical concepts", "documentationSkills" : "Documentation", "qualificationsBasic" : "5+ years experience, SQL proficiency, JavaScript proficiency", "qualificationsPreferred" : "Tealium AudienceStream experience a plus, Experience with consent management platforms, Familiarity with server-side tagging, Experience with other tag management systems, Exposure to adjacent tools, Experience in cybersecurity product environment, Familiarity with SQL and data warehouse querying", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "ABOUT GEN: Gen is a global company dedicated to powering Digital Freedom through its trusted consumer brands including Norton, Avast, LifeLock, MoneyLion and more. Our combined heritage is rooted in financial empowerment and cyber safety for the first digital generations, and today we deliver award-winning cybersecurity, online privacy, identity protection and financial wellness solutions to nearly 500 million users in more than 150 countries. Together, we share a collective passion and vision to protect consumers and help them grow, manage and secure their digital and financial lives. We’re always looking for smart, fearless and high-impact talent who see AI as a teammate – leveraging it to move faster and deliver meaningful results. When you’re part of Gen, you’ll have the flexibility, tools and support to do your best work and grow your career – from flexible working options and time off to competitive pay, benefits and well-being programs. At Gen, we are scrappy and relentlessly customer driven. We create room for healthy debate, experimentation and continuous learning, and we seek out people with different experiences, identities and ideas to join our team. You’ll work with people who back each other, respect each other and understand that our differences are a competitive advantage. If this sounds like you, we’d love you to be part of Gen. ABOUT THE ROLE: Gen Digital operates a portfolio of consumer security and privacy brands serving hundreds of millions of users worldwide. Every product decision, marketing dollar, and growth initiative depends on a single question: what is the data actually telling us? This role is the answer. The Digital Analytics & Tag Management Lead owns Gen's end-to-end web measurement infrastructure. You are the primary technical authority on how behavioral data is collected, structured, and delivered for our web properties — from the data layer specification through Tealium tag governance, web instrumentation, marketing tagging, cookie and consent management, and the Amplitude digital analytics platform. You lead a team of individual contributors and serve as the primary internal stakeholder for what the data layer should look like, ensuring it reliably powers product analytics, marketing measurement, and privacy compliance at global scale. KEY RESPONSIBILITIES: Data Layer Strategy & Governance - Serve as the primary internal stakeholder for Gen's data layer; Engineering still owns much of this , but you need to be defining and maintaining the specification that governs what data is collected, how it is structured, and how it flows to all downstream consumers. - Author and maintain the canonical data layer schema across web properties; own versioning, change management, and documentation. - Establish naming conventions, event taxonomy, and variable standards that enable consistent analytics across product lines and geographies. - Partner with product engineering, product management, and data engineering to review and approve any changes to the data layer before deployment. Tealium Tag Management - Own the enterprise Tealium iQ implementation end-to-end: tag library health, load rules, data layer variable configuration, publish workflows, and environment management. - Lead the strategy for client-side and server-side tag deployment, evaluating trade-offs between performance, data fidelity, and privacy compliance. - Define and enforce tag governance standards: tag audits, deprecation of legacy tracking, QA validation processes, and deployment approvals. - Partner with marketing and adtech teams to onboard, configure, and maintain third-party vendor tags within the Tealium ecosystem. Web Instrumentation - Define the instrumentation strategy for Gen's web and mobile web properties — determining what user behaviors, funnels, and events must be tracked to support product and marketing decisions. - Collaborate with front-end engineers to implement and validate data layer pushes, ensuring accurate event capture across SPA and traditional page architectures. - Own the QA and validation process for all instrumentation changes, including debugging via browser dev tools, Tealium's data trace, and Amplitude's event validation. - Drive a culture of instrumentation-first feature development: new product features ship with tracking requirements defined before code is written. Marketing Tagging & Privacy - Own the marketing tag ecosystem — paid search, paid social, affiliate, email, and display — ensuring tags fire correctly, attributing conversions accurately, and respecting user consent state. - Serve as the primary liaison between marketing, legal, and engineering on tagging-related privacy compliance: GDPR, CCPA/CPRA, and emerging global regulations. - Manage the cookie governance framework: audit and classify all cookies set across Gen properties, maintain the cookie inventory, and ensure alignment with disclosed privacy policies. - Own the consent management platform (CMP) configuration within Tealium, ensuring tag suppression, consent signal propagation, and opt-out behavior function correctly across all regions. - Partner with the privacy and legal teams on data residency requirements, PII redaction in tracking payloads, and incident response when a privacy issue involves tagging or instrumentation. Amplitude — Digital Analytics Platform - Own the Amplitude platform as Gen's primary digital analytics tool: contract, vendor relationship, governance model, and roadmap for adoption across product and marketing teams. - Define and enforce the Amplitude data governance model — taxonomy, event naming standards, user property conventions, and project/space structure — ensuring a trustworthy, self-service analytics environment. - Drive Amplitude adoption across product managers, growth managers, and marketers; build training materials, conduct workshops, and establish best practices so stakeholders can answer their own questions. - Own the Amplitude SDK integration strategy and instrumentation quality: work with engineering teams to ensure SDKs are correctly implemented, events are validated, and the platform reflects the canonical data layer spec. - Manage the integration between Tealium and Amplitude, ensuring data flows reliably, identity stitching is consistent, and the platform receives a clean, governed event stream. - Lead the evaluation of Amplitude feature releases and adjacent tooling (e.g., Amplitude Experiment for A/B testing, Amplitude CDP capabilities) and recommend adoption where it delivers clear value. People Management - Manage and mentor a team of 2-3 ICs, providing weekly 1:1s, clear performance feedback, and development plans aligned to the career framework. - Build succession plans, eliminate single points of failure, and develop the team's collective capability in data layer design, tag management, privacy, and Amplitude. - Participate in hiring: define role requirements, build interview panels, shadow interviewers, and make hire/no-hire decisions as the hiring manager. - Contribute meaningfully to the codebase on non-critical-path work — leading by example on code quality, process adherence, and high-quality pull requests. ABOUT YOU: Required - Bachelor’s degree in Computer Science, or a related field; Master’s or Ph.D. preferred. - 10+ years of experience in digital analytics, web measurement, or marketing technology, with at least 3–5 years in a formal people management role, demonstrating proficiency in all core management competencies. - Deep hands-on expertise with Tealium iQ: tag deployment, data layer configuration, load rules, extensions, and publish workflows; Tealium AudienceStream experience is a strong plus. - Proven ownership of a data layer at enterprise scale — authoring specs, governing changes, and partnering with engineering teams on implementation. - Expert-level understanding of web instrumentation: JavaScript event tracking, SPA tracking patterns, data layer pushes, browser debugging, and SDK integration. - Fluency in marketing tagging ecosystems: paid search (Google, Microsoft), paid social (Meta, TikTok), affiliate and display pixels, conversion APIs, and server-side tagging. - Hands-on experience with Amplitude, including SDK integration, taxonomy governance, and enabling self-service analytics for non-technical stakeholders. - Working knowledge of privacy regulations (GDPR, CCPA/CPRA, ePrivacy) and how they intersect with tagging, cookies, consent management, and data collection. - Proficiency in JavaScript and HTML/CSS sufficient to read, write, and debug custom tag code, data layer implementations, and instrumentation scripts. - Strong cross-functional communication: able to translate highly technical tagging and data layer concepts into clear requirements for engineers, privacy/legal teams, and marketing stakeholders. Preferred - Experience with consent management platforms (OneTrust, Cookiebot, or Tealium's native CMP) and IAB TCF / Google Consent Mode v2. - Familiarity with server-side tagging architectures and their privacy advantages over pure client-side approaches. - Experience with other enterprise tag management systems (Adobe Launch, Google Tag Manager) sufficient to assess migration and interoperability scenarios. - Exposure to adjacent tools in the measurement stack: session replay (FullStory, Heap), A/B testing platforms, and customer data platforms (CDPs). - Experience operating in a cybersecurity or consumer privacy-focused product environment, where data minimization is a core design constraint. - Familiarity with SQL and data warehouse querying (Snowflake, BigQuery) for validating upstream data quality. WHAT’S NEXT…. - Recruiter Interview - 1st Round Interview - 2nd Round Interview - Final Interview", "summaryDescription" : "Senior Manager, Digital Analytics at Gen Digital. Skills: Web measurement infrastructure, Data layer specification, Tealium tag governance, Amplitude analytics. Define data layer specification. Maintain data layer schema", "createdAt" : "2026-06-14T09:39:54.647", "lastUpdated" : "2026-06-15T09:34:34.880", "ingestTimestamp" : "2026-06-14T09:39:54.647", "mongoId" : "6a2c8bd574d8ee00a0973e1b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 188000, "salaryAnnualMax" : 216000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Web analytics", "Tag management", "Data collection", "Data structuring", "Data flow management", "Schema definition", "Naming conventions", "Event taxonomy", "Variable standards", "Client-side tagging", "Server-side tagging", "Data fidelity", "Privacy compliance", "Tag audits", "QA validation", "Third-party tag configuration", "User behavior tracking", "Funnel tracking", "Event tracking", "SPA tracking", "Debugging", "SDK integration", "Conversion attribution", "Consent management", "Cookie governance", "Web measurement infrastructure", "Data layer specification", "Tealium tag governance", "Amplitude analytics", "Data layer strategy", "Tag governance", "Web instrumentation", "Marketing tagging", "Digital analytics", "Privacy regulations", "GDPR", "CCPA/CPRA", "ePrivacy", "Customer data platforms", "Tealium", "Amplitude", "Google Tag Manager", "Adobe Launch", "OneTrust", "Cookiebot", "FullStory", "Heap" ], "skillCount" : 47, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "_score" : 878.8911, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.97 }, { "id" : "6a2c8d6b74d8ee00a0978e4c", "title" : "Senior Manager, BizOps & Analytics", "company" : "Jerry. ai", "industry" : "Data", "salary" : { "min" : 170000.0, "max" : 210000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "San Francisco Bay Area", "locations" : [ "San Francisco Bay Area", "Boston, Massachusetts", "Atlanta, Georgia", "Denver, Colorado", "Austin, Texas", "New York, New York", "Miami, Florida" ], "timestamp" : "2026-06-15T09:34:39.934", "fingerprint" : "634ef9f4b6358a18836a8e5f4474d391ff922358df3d89993cb68dba981957f9", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/jerry.ai/ec673979-7db1-42df-8c4a-cee67e198de8/application", "externalId" : "ec673979-7db1-42df-8c4a-cee67e198de8", "industryFunction" : { }, "structuredLocations" : [ { "city" : "San Francisco", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.7879363,-122.4075201" } ], "locationText" : "San Francisco, California, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "technicalSkills" : "Excel, SQL, Python", "professionalSkills" : [ "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Resource planning", "Continuous improvement", "Data analysis", "Decision making", "Problem solving" ], "hardSkillsList" : [ "Analytical ability", "Data interpretation", "Metrics definition", "Report building", "Analysis design", "Experiment design" ], "hardSkills" : [ { "name" : "Analytical ability", "level" : "intermediate" }, { "name" : "Data interpretation", "level" : "intermediate" }, { "name" : "Metrics definition", "level" : "intermediate" }, { "name" : "Report building", "level" : "intermediate" }, { "name" : "Analysis design", "level" : "intermediate" }, { "name" : "Experiment design", "level" : "intermediate" } ], "majorSkills" : "BizOps, Analytics, Data Insights", "majorSkillsList" : [ "BizOps", "Analytics", "Data Insights" ], "teamCollaboration" : "Central BizOps team; Embedded in business unit; Counterparts in product; Counterparts in growth; Counterparts in finance; Counterparts in operations", "toolProficiency" : [ "Clickhouse", "Metabase", "Jupyter Hub", "GitHub" ], "communicationSkills" : "Direct communication; Write clearly; Speak precisely", "problemSolvingSkills" : "First principles thinker; Break ambiguous problems; Clear hypotheses", "qualificationsBasic" : "6+ years experience, Analytical ability, Track record of owning ambiguous analytical problems, Driving problems to business outcome, Clear communicator, Persuasive communicator, Influence decisions at leadership level", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "WHY WE EXIST Your car and your home are your most important assets, yet the experience of owning them is stuck in the 90s. Every part of the journey — buy/sell, insurance, maintenance, repairs — is fragmented, complicated, and expensive. Jerry.ai http://Jerry.ai is building the first app to manage it all. We started with car insurance in 2019, became one of the top 3 brokers in the U.S., then added driving insights, diagnostics, a repair marketplace, and home. We've reached 5M+ customers, raised $240M+, scaled revenue 70X, and became profitable in early 2024. We're now expanding into adjacent verticals (e.g. home, motorcycle, RV, etc) to become the one-stop-shop for all your physical assets. WHY WE’RE HIRING Our BizOps & Analytics team has been a force multiplier and accelerant to our business that has helped us reach these pivotal milestones in spite of headwinds and within a highly competitive market. They are a team of former MBB consultants who drive data & insights, and inform decision-making across every corner of our business. They are analytical powerhouses and first principles problem solvers who push forward our most important initiatives across product, growth, tech, and operations. Every business unit has a BizOps team member embedded within it — someone who doesn't just run analyses and build dashboards, but shapes what questions we should ask, what data to pull, what conclusions to draw, what decisions to make, and then driving our teams towards our next goal: go from 5M to 50M customers and become a $10B business in the next 4 years. As our business continues to expand, there is growing demand for more BizOps team members. We are adding a few new members to drive impact in these areas: - Growth Marketing - Product Development - AI & Automation - Strategic Partnerships On leveling: You may see job ads for this role at different job levels. Our priority is finding the right people, we can be flexible with job title/leveling. WHY YOU WILL (OR WON'T) LIKE WORKING HERE - No slides: If you've worked in consulting, you know what it feels like to be up at 3am reformatting a deck. That doesn't exist here. The only work that gets done here is work that will materially change the trajectory of our business — an important product, a new growth channel, a key metric, a critical partner relationship, etc. - No corporate fluff: The BizOps & Analytics team is 14 insatiable learners who care deeply about solving difficult problems and making a tangible impact. Every person owns a critical domain. There is no bloat, unnecessary meetings, or waiting for approvals. - Hands-on: This is not a pure strategy role, you will also own execution. You will be surfacing analytical insights, driving decisions, and seeing them through end-to-end. WHAT YOU'LL OWN You'll sit on our central BizOps & Analytics team but you’ll be embedded in one of Jerry's core product or business areas — growth, product, AI and automation, strategic partnerships — and own the analytical function for that business unit end-to-end. - Define the right problems: Before any analysis, understand what business question it's answering and what decision it will inform. Push back if the question is flawed. - Data and insights: Define metrics, build reports, run analyses, design experiments, and surface data insights that move your team's key metrics. - Drive outcomes: Bring recommendations to your counterparts in product, growth, finance or operations, tell them what's happening and why, and what next steps should be. WHO YOU ARE - First principles thinker: You break ambiguous problems into clear hypotheses before touching data. You're analytically strong (comfortable with Excel, SQL or Python) but your instinct is to ask \"what are we trying to solve here?\" before jumping to \"what should I build?\" - Direct communicator: You can walk a skeptical stakeholder through a complex finding and get buy-in quickly. You write clearly, speak precisely, and don't bury the lede. - Owner: You act like your name is on the door. If something is broken, you feel responsible for fixing it, even if it’s outside of your swim lane. WHAT YOU'LL BRING - 6+ years of experience at a consulting firm, investment bank, or high-growth technology company. - Strong analytical skills; ability to pull, structure, and interpret data independently. - Track record of owning ambiguous analytical problems and driving them to a business outcome. - Clear, persuasive communicator who can influence decisions at the leadership level. OUR TOOLS SQL (Clickhouse), Metabase, Python, Jupyter Hub, GitHub. While we appreciate your interest and application, only applicants under consideration will be contacted. Jerry.ai is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on race, religion, color, national origin, sex, pregnancy, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, or other characteristics protected by applicable local, state or federal laws. Jerry.ai is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at recruiting@jerry.ai recruiting@getjerry.com The successful candidate’s starting pay will fall within the pay range listed on this job posting, determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation may include opportunities for equity grants. We offer a comprehensive benefits package to regular employees, including health, dental, and vision coverage, paid time off, paid parental leave, 401(K) plan with employer matching, and wellness benefits, among others. Equity opportunities may also be part of your total rewards package. Part-time, contract, or freelance roles may not be eligible for certain benefits. About Jerry.ai Jerry.ai is America’s first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets. Backed by artificial intelligence and machine learning, Jerry.ai simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We spend every day innovating and improving our AI-powered app to provide the best possible experience for our customers. From car insurance and financing to maintenance and safety, Jerry.ai does it all. We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers — and we’re just getting started. Jerry.ai was founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing. Join our team and work with passionate, curious and egoless people who love solving real-world problems. Help us build a revolutionary product that’s disrupting a massive market.", "summaryDescription" : "Senior Manager, BizOps & Analytics at Jerry. ai. Skills: BizOps, Analytics, Data Insights", "createdAt" : "2026-06-14T09:42:13.260", "lastUpdated" : "2026-06-15T09:34:39.934", "ingestTimestamp" : "2026-06-14T09:42:13.260", "mongoId" : "6a2c8d6b74d8ee00a0978e4c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 170000, "salaryAnnualMax" : 210000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Analytical ability", "Data interpretation", "Metrics definition", "Report building", "Analysis design", "Experiment design", "BizOps", "Analytics", "Data Insights", "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Resource planning", "Continuous improvement", "Data analysis", "Decision making", "Problem solving", "Clickhouse", "Metabase", "Jupyter Hub", "GitHub" ], "skillCount" : 22, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "_score" : 878.71576, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2cf9a674d8ee00a0a9b52e", "title" : "Senior Analyst, Data Operations & Analytics", "company" : "Lightspeed", "industry" : "Technology", "salary" : { "min" : 95000.0, "max" : 135000.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline data for a Senior Analyst, Data Operations & Analytics in Montreal, Canada, adjusted for seniority and the technology industry." }, "location" : "Montreal", "locations" : [ "Montreal" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T06:26:17.863", "fingerprint" : "29c4e0c3e26ec6bb2f74b198844c1e23ae533975d2628251e4332a95bfb30219", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/lightspeedhq/395a70f4-e4d0-4b0c-9cdb-936efa667712/application", "externalId" : "395a70f4-e4d0-4b0c-9cdb-936efa667712", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Montreal", "state" : "Quebec", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "45.5031824,-73.5698065" } ], "locationText" : "Montreal, Quebec, Canada", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, Python, R, Scala, Spark, Dbt, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, GCP, Azure", "professionalSkills" : [ "Data modeling", "Statistical analysis", "Machine learning", "Business intelligence", "Data engineering", "Quantitative analysis" ], "hardSkillsList" : [ "Data operations", "Data analysis", "Data warehousing", "ETL processes", "Data pipelines", "Model development", "Algorithm implementation", "Performance tuning", "Data quality assurance", "Data governance" ], "hardSkills" : [ { "name" : "Data operations", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Data warehousing", "level" : "intermediate" }, { "name" : "ETL processes", "level" : "intermediate" }, { "name" : "Data pipelines", "level" : "intermediate" }, { "name" : "Model development", "level" : "intermediate" }, { "name" : "Algorithm implementation", "level" : "intermediate" }, { "name" : "Performance tuning", "level" : "intermediate" }, { "name" : "Data quality assurance", "level" : "intermediate" }, { "name" : "Data governance", "level" : "intermediate" } ], "coreResponsibilities" : "Develop and maintain data pipelines, Build and optimize data models, Perform complex data analysis, Create and manage BI dashboards, Collaborate with engineering teams, Ensure data quality and integrity, Implement ML models, Support data-driven decision making, Troubleshoot data issues, Document data processes", "teamCollaboration" : "Cross-functional teams; Stakeholders", "projectManagementSkills" : [ "Agile methodologies" ], "domainKnowledge" : "Cloud data stacks; ML frameworks; BI platforms; Statistical methods; Regression; Classification; Clustering; Time-series analysis; A/B testing; Causal inference", "domainList" : [ "cloud-data-stacks", "ml-frameworks", "bi-platforms", "statistical-methods", "regression", "classification", "clustering", "time-series-analysis", "a-b-testing", "causal-inference" ], "domainSpecificKnowledge" : [ "Cloud data stacks", "ML frameworks", "BI platforms", "Statistical methods", "Regression", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference" ], "toolProficiency" : [ "Tableau", "Power BI", "Looker" ], "communicationSkills" : "Technical presentations; Data storytelling", "documentationSkills" : "Technical documentation", "problemSolvingSkills" : "Analytical thinking; Root cause analysis", "outcomesObjectives" : "Improve data accessibility; Enhance data reliability; Drive business insights", "qualificationsBasic" : "SQL proficiency, 5+ years experience", "qualificationsPreferred" : "PhD preferred, GCP Professional Data Engineer, AWS Data Analytics, Databricks Certified, Dbt Certified", "remoteFriendly" : true, "rawDescription" : "Purpose of the role: Facilitate teams across the company to make informed decisions based on data, rather than on intuition. Lead complex analytical projects with multi-level dependencies, diverse stakeholder base and unclear paths to solution. Please note: As a global company with employees and clients outside of Quebec, fluency in English as a working language is required for this position. Role: - Lead the process of gathering requirements and translating complex business problems into structured, scalable quantitative analyses. - Partner with functional departments to extract strategic insights from analytical outputs, shape high-impact business recommendations, and deliver them through compelling narratives and comprehensive visualizations. - Guide collaboration with stakeholders and team members to design accurate, scalable, and business-relevant datasets, reports, dashboards, and analyses for both operational and strategic initiatives. - Design robust data models using techniques such as Kimball/dimensional data modelling. - Oversee and optimize data reconciliation/manipulation processes, proactively identifying opportunities for automation, data quality improvement, and integrity/consistency checks. - Champion data governance by embedding best practices into workflows and mentoring stakeholders on discovering, accessing, and effectively leveraging data assets. - Play a key role in advancing internal event tracking and A/B testing systems through continuous improvement and innovation. - Develop predictive and classification models to support strategic initiatives across Product, Customer Success, and Marketing domains. - Mentor junior colleagues on best practices in analytical research, dashboard development, and data storytelling to ensure high-quality, impactful outputs. - Report to the Senior Manager, BI & Analytics. AND A LITTLE BIT OF.... - Stay up to date with developments, innovations, and trends in data, including state-of-the-art machine learning models and large language models (LLMs). - Contributing as part of the wider team to achieve organizational objectives, even if this means doing things that aren’t strictly within the scope of your role. What will make you successful: - Your analysis is not only reliable, accurate, and well-structured, but also demonstrates strategic insight and drives decision-making at a senior level. - You proactively engage with stakeholders to understand and align with their priorities, and you can clearly articulate the broader business context behind each request. - You lead cross-functional collaboration by identifying key contacts across departments and facilitating knowledge sharing to deepen subject matter understanding. - You have expert-level knowledge of data sources across domains (e.g., Product, Marketing) and subdomains (e.g., Product → Storefront), and can guide others in selecting, interpreting, and applying the most relevant data and metrics. Experience needed: - 3+ years of experience as a Data Analyst or in a similar role within analytics, business intelligence, or data science, with a track record of driving measurable business impact. - Strong business acumen and the ability to independently translate complex business needs into robust data requirements and actionable insights. - Advanced proficiency with Python and SQL. - Advanced proficiency with Kimball/dimensional data modelling. - Advanced proficiency with Looker and the use of LookML to design Explores and dashboards. - Familiarity with other modern BI tools such as Tableau or Power BI, with a focus on designing scalable and intuitive dashboards. - Deep understanding of probability theory, statistical inference, and experimental design, including hands-on experience designing, running, and interpreting A/B tests. - Solid foundation in mathematics, including combinatorics, calculus, and mathematical logic. - Proven ability to communicate findings and recommendations effectively using MS Excel and PowerPoint for diverse audiences. - Practical experience with event tracking systems and user behaviour analytics tools. - Applied experience with machine learning models for classification, regression, or clustering, preferably in product, marketing, or customer analytics contexts. - Experience in the e-commerce domain is a strong plus. Skills required: - Ability to manage multiple high-impact projects simultaneously while maintaining focus and delivering high-quality outcomes. - Strong grasp of business context and ability to align analytical work with strategic objectives. - Eagerness to continuously explore and adopt new data systems, tools, and methodologies. - Ability to proactively identify issues, communicate them clearly, and work collaboratively to resolve them. - Ability of working independently and driving initiatives with minimal oversight. - Great attention to data accuracy and integrity. - You are self-driven, detail-oriented, and committed to continuous improvement. - You are comfortable operating in fast-paced, dynamic environments, with the ability to navigate ambiguity and complexity effectively. - You have excellent analytical and organizational skills, with a structured and methodical approach to problem-solving. - Strong written and verbal English language skills. What’s in it for you: Be a changemaker You’ll enjoy: - A flexible work environment that empowers you to do your best work - A culture that celebrates performance - The chance to make an impact in a team that’s big enough for career growth, but lean enough to make your voice heard - Career-defining opportunities Plus benefits designed to keep you happy, healthy and fulfilled. - Flexible paid time off and remote work policies - Equity options, because this is your company too - Contributions to your pension plan. Your future matters - Training opportunities to grow your skills and career - Health and wellness credit so you feel your best - Time off to volunteer and give back to your community - Interest groups, employee-led networks, social committees to sponsored sports teams - Computer purchase program to get your personal MacBook - Enhanced parental leave to support growing families - Lightspeed equity scheme (we are all owners) - Unlimited paid time off policy - People Experience - Our PX benefit allows you to work from pretty much anywhere in the world for 60 days a year - Health insurance: Immediate access to health, dental, vision, and life insurance for you and your eligible dependents. - Employer RRSP contribution of up to 4% of base salary to a maximum of $5,000 - Health and wellness benefit of $500 per year - Employee Technology Purchase Program: Ability to an interest-free loan to purchase certain Apple products - Paid leave and assistance for new parents - Mental health online platform and counselling & coaching services - Volunteer day - We got you covered! A variety of snacks, coffee, and teas are always accessible and available in the office kitchen - Tuesday to Thursday: Lunch is served, and Thursday is Happy Hour with a variety of drinks and snacks. Fuel your growth. Find your people. At Lightspeed, your growth is our priority. We invest in you with continuous learning opportunities, global mobility and benefits designed to support you—all within a driven, diverse and inclusive team that’s passionate about empowering our communities. To all recruitment agencies: Lightspeed does not accept unsolicited agency resumes. If we have not directly engaged your company in writing to supply candidates for a specific vacancy, Lightspeed will not be responsible for any fees related to unsolicited resumes. Lightspeed is a proud equal opportunity employer and we are committed to creating an inclusive and barrier-free workplace. Lightspeed welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process. WHERE TO FROM HERE? Obviously, this has to be mutually beneficial: we want you to step into a role you love, and we want to offer you a place you’re proud to come to every day. For a glimpse into our world check out our career page here https://www.lightspeedhq.com/careers/. Lightspeed is building communities through commerce, and we need people from all backgrounds and lived experiences to do that. We were founded in 2005, in Montreal’s gay village and our original members were all part of the LGBTQ+ community. The ethos of our business has been about inclusion from the very beginning, and we strive to provide a workplace where everyone belongs. WHO WE ARE: Powering the businesses that are the backbone of the global economy, Lightspeed's one-stop commerce platform helps merchants innovate to simplify, scale, and provide exceptional customer experiences. Our cloud commerce solution transforms and unifies online and physical operations, multichannel sales, expansion to new locations, global payments, financial solutions, and connection to supplier networks. Founded in Montréal, Canada in 2005, Lightspeed is dual-listed on the New York Stock Exchange (NYSE: LSPD) and Toronto Stock Exchange (TSX: LSPD). With teams across North America, Europe, and Asia Pacific, the company serves retail, hospitality, and golf businesses in over 100 countries. Lightspeed handles your information in accordance with our Applicant Privacy Statement https://www.lightspeedhq.com/legal/applicant-privacy-statement/. ", "summaryDescription" : "Senior Analyst, Data Operations & Analytics at Lightspeed. Develop and maintain data pipelines. Build and optimize data models", "createdAt" : "2026-06-14T19:25:23.786", "lastUpdated" : "2026-06-16T06:26:17.863", "ingestTimestamp" : "2026-06-14T19:25:23.786", "mongoId" : "6a2cf9a674d8ee00a0a9b52e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Data operations", "Data analysis", "Data warehousing", "ETL processes", "Data pipelines", "Model development", "Algorithm implementation", "Performance tuning", "Data quality assurance", "Data governance", "Data modeling", "Statistical analysis", "Machine learning", "Business intelligence", "Data engineering", "Quantitative analysis", "Agile methodologies", "Cloud data stacks", "ML frameworks", "BI platforms", "Statistical methods", "Regression", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Tableau", "Power BI", "Looker" ], "skillCount" : 34, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 876.84467, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6931903370f0b99d58087a05", "title" : "Senior Delivery Practice Manager - Data & Analytics", "company" : "Amazon Web Services", "industry" : "Solutions Architect, Professional Services, Cloud Computing", "salary" : { "min" : 4500000.0, "max" : 7500000.0, "currency" : "PHP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Director-level Senior Delivery Practice Manager in Data & Analytics in Taguig City, Philippines, adjusted for Amazon Web Services' industry and company size." }, "location" : "Taguig City, National Capital Region, PHL", "locations" : [ "Taguig City, National Capital Region, PHL" ], "certifications" : [ "AWS Professional level certifications" ], "timestamp" : "2026-06-15T03:55:56.785", "fingerprint" : "dbcc4dd6db184e93bffb736d6f26d0c722630ee1f606cc62c7ed96951b5ed8c9", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3137078/apply", "externalId" : "ee04fd1c-32d7-4a13-b187-877b89b614b2", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Taguig City", "state" : "National Capital Region", "country" : "Philippines", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "14.5270538,121.0744942" } ], "locationText" : "Taguig City, National Capital Region, Philippines", "employmentType" : "FULL_TIME", "experienceMinYears" : 10, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Data & Analytics", "professionalSkills" : [ "Management Consulting", "Strategic advisor", "Business development", "Portfolio guidance", "People development", "Financial management" ], "hardSkillsList" : [ "IT transformation", "Data analytics strategies", "Solution deployment", "P&L management" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "IT transformation", "level" : "intermediate" }, { "name" : "Data analytics strategies", "level" : "intermediate" }, { "name" : "Solution deployment", "level" : "intermediate" }, { "name" : "P&L management", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Data & Analytics, Delivery Management, Team Leadership", "majorSkillsList" : [ "Data & Analytics", "Delivery Management", "Team Leadership" ], "coreResponsibilities" : "Manage a team of ProServe Delivery Consultants, Support AWS enterprise customers through transformative projects, Serve as a strategic advisor to customers, partners,, Build and manage a team of Delivery Consultants, Manage Engagement Managers, Architect innovative solutions, Implement innovative solutions, Engage with Director, C-level executives, and governing boards, Capture opportunities, Drive engagement delivery, Drive business development initiatives, Provide portfolio guidance, Meet customer satisfaction targets, Define business outcomes for customers, Build trust with customers, Identify applicable AWS Professional Services offerings, Create proposals, Create SOW’s, Optimize team performance, Implement tailored people development plans, Align teams to customer needs, Address customer outcomes, Translate technical concepts into business value, Talk in technical depth with teams, Cultivate customer relationships, Cultivate Amazon Global Sales relationships, Cultivate ProServe team relationships, Deliver customer engagements, Support sales through scoping technical requirements, Deliver engagements on time, Deliver engagements within budget, Exceed customer expectations, Hold Practice total utilization goal, Build and manage a high-performing team, Collaborate with Delivery Consultants, Collaborate with Engagement Managers, Collaborate with Account Executives, Collaborate with Cloud Architects, Deploy solutions, Provide input on new features, Develop IT strategies for customers, Oversee IT strategy implementation, Manage practice P&L, Ensure on-time delivery, Ensure within-budget delivery", "teamCollaboration" : "Customer teams; Partner Network (APN); Customer teams; AWS Partner Network (APN); Delivery Consultants; Engagement Managers; Account Executives; Cloud Architects", "projectManagementSkills" : [ "Agile methodologies", "Iterative methodologies", "Opportunity capture", "Engagement delivery", "P&L management", "Resource management" ], "domainKnowledge" : "Data & Analytics; Cloud computing; Enterprise cloud adoption", "domainList" : [ "data-analytics", "cloud-computing", "enterprise-cloud-adoption" ], "domainSpecificKnowledge" : [ "Data & Analytics", "Cloud computing", "Enterprise cloud adoption" ], "communicationSkills" : "Presentation skills; Negotiation skills", "innovationCreativity" : "Innovative solutions; Forward-looking IT strategies", "problemSolvingSkills" : "Solving business challenges; Solving product challenges; Solving technical challenges", "outcomesObjectives" : "Exceed customer satisfaction targets; Deliver customer engagements on time; Deliver customer engagements within budget; Exceed customer expectations", "qualificationsBasic" : "3 years in people leadership role, Experience managing IT transformation projects in ASEAN, Bachelor's degree in Computer Science, Engineering, or related field, 15+ years of relevant experience, 5+ years of direct people management experience, 10+ years of hands-on experience leading design, development, and deployment of complex data & analytics strategies and solutions at scale, Proven experience with SDLC and agile/iterative methodologies", "qualificationsPreferred" : "Advanced technology degree, AWS Professional level certifications, Project management capabilities, Resource management capabilities, Financial acumen with P&L management experience, Ability to navigate complex stakeholder relationships, Ability to drive change, Sales skills for opportunity capture, Negotiation skills for opportunity capture, Proposal development skills", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The Amazon Web Services Professional Services (ProServe) team is seeking an experienced Delivery Practice Manager (DPM) to join our ProServe Shared Delivery Team (SDT) at Amazon Web Services (AWS). In this role, you'll manage a team of ProServe Delivery Consultants while supporting AWS enterprise customers through transformative projects. You'll leverage your IT and/or Management Consulting background to serve as a strategic advisor to customers, partners, and internal AWS teams. As a DPM you will be responsible for building and managing a team of Delivery Consultants and or Engagement Managers working with customers and partners to architect and implement innovative solutions. You’ll routinely engage with Director, C-level executives, and governing boards, whilst being responsible for opportunity capture and driving engagement delivery. You’ll work closely with partner teams; drive business development initiatives through thought leadership; provide portfolio guidance and oversight; and meet and exceed customer satisfaction targets. As a DPM you are primarily focused directly or through their teams, on understanding and defining business outcomes for customers by building trust, identifying applicable AWS Professional Services offerings, and creating proposals and SOW’s. Your experience gained leading teams within the technology sector, will equip you with the ability to optimize team performance through implementing tailored people development plans, ensuring your teams are aligned to customer needs, and have the skills and capacity to address customer outcomes. Possessing the ability to translate technical concepts into business value for customers and then talk in technical depth with teams, you will cultivate strong customer, Amazon Global Sales (AGS), and ProServe team relationships which enables exceptional business performance. DPMs success is primarily measured by consistently delivering customer engagements by supporting sales through scoping technical requirements for an engagement, delivering engagements on time, within budget, and exceeding customer expectations. They will hold the Practice total utilization goal and be responsible for optimizing team performance. The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries. Key job responsibilities As an experienced Professional Services Delivery Manager, you will be responsible for: - Building and managing a high-performing team of Delivery Consultants - Collaborating with Delivery Consultants, Engagement Managers, Account Executives, and Cloud Architects to deploy solutions and provide input on new features - Developing and overseeing the implementation of innovative, forward-looking IT strategies for customers - Managing practice P&L, ensuring on-time and within-budget delivery of customer engagements - Driving business development initiatives and exceed customer satisfaction targets About the team Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. Mentorship and Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Basic Qualifications: - Experience in IT and/or Management Consulting, with at least 3 years in a people leadership role. - Experience managing IT transformation projects in ASEAN - Bachelor's degree in Computer Science, Engineering, related field, or equivalent experience - Highly strategic and analytical, possessing 15+ years of relevant experience in solving business, product, and technical challenges and 5+ years of direct people management experience, leading high-performing service line teams including business operations and financial management. - 10+ years of hands-on experience leading the design, development and deployment of complex data & analytics strategies and solutions at scale supporting Fortune 500 companies across multiple industries and geographies; Proven experience with software development life cycle (SDLC) and agile/iterative methodologies. Preferred Qualifications: - Advanced technology degree or AWS Professional level certifications (e.g., Solutions Architect Professional, DevOps Engineer Professional) preferred - Strong project management and resource management capabilities - Financial acumen with P&L management experience - Ability to navigate complex stakeholder relationships and drive change - Sales and negotiation skills for opportunity capture and proposal development - Excellent communication, presentation, and negotiation skills with the ability to build and maintain C-level client relationships Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Senior Delivery Practice Manager - Data & Analytics at Amazon Web Services. Skills: Data & Analytics, Delivery Management, Team Leadership. Manage a team of ProServe Delivery Consultants. 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Product managers; Engineering teams; Business stakeholders", "domainKnowledge" : "Healthcare data; Clinical data; Healthcare analytics", "domainList" : [ "healthcare-data", "clinical-data", "healthcare-analytics" ], "domainSpecificKnowledge" : [ "Healthcare data", "Clinical data", "Healthcare analytics" ], "toolProficiency" : [ "Snowflake", "BigQuery", "Redshift", "Databricks", "Dbt", "Airflow", "Tableau", "Power BI", "Looker", "Scikit-learn", "TensorFlow", "PyTorch", "AWS", "GCP", "Azure" ], "communicationSkills" : "Present findings; Explain complex concepts", "documentationSkills" : "Technical documentation; Data dictionaries", "problemSolvingSkills" : "Analytical problem solving; Root cause analysis", "qualificationsBasic" : "5+ years of experience in data analytics, Proficiency in SQL, Bachelor's degree in a quantitative field", "qualificationsPreferred" : "Master's degree or PhD preferred, Experience with cloud platforms (AWS, GCP, Azure), Experience with ML frameworks (scikit-learn, TensorFlow, PyTorch), GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified, Dbt Certified", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Transform healthcare with us. At Qualified Health, we’re redefining what’s possible with Generative AI in healthcare. Our infrastructure provides the guardrails for safe AI governance, healthcare-specific agent creation, and real-time algorithm monitoring—working alongside leading health systems to drive real change. This is more than just a job. It’s an opportunity to build the future of AI in healthcare, solve complex challenges, and make a lasting impact on patient care. If you’re ambitious, innovative, and ready to move fast, we’d love to have you on board. Join us in shaping the future of healthcare. JOB SUMMARY: Qualified Health is seeking a Senior Healthcare Data Analyst to help our customers and internal teams understand, measure, and communicate the impact of our AI-powered solutions. This role sits at the intersection of healthcare analytics, clinical informatics, and data strategy, serving as the critical link between clinical workflows, source data systems, and the insights that demonstrate value to our health system partners. You will work directly with clinical, technical, and operational stakeholders to translate healthcare data into meaningful measures of clinical, financial, and operational impact. A deep understanding of Epic and healthcare data structures is essential, as much of the evidence demonstrating Qualified Health's success originates from EHR systems and clinical source data. This is a highly visible role with the opportunity to influence product strategy, support customer success, contribute to new product development initiatives, and present insights that are consumed across the organization and by executive stakeholders at leading health systems. KEY RESPONSIBILITIES: Analytics & Value Measurement - Develop reporting frameworks that quantify the clinical, operational, and financial impact of Qualified Health's products. - Build executive-level dashboards, analyses, and value reports that demonstrate ROI and customer outcomes. - Connect clinical data, utilization metrics, workflow performance, and operational KPIs to generate actionable insights. - Identify trends and opportunities that help customers understand the value generated through AI-driven interventions. Clinical Data & Epic Expertise - Translate complex clinical concepts and workflows into structured data models and reporting frameworks. - Leverage deep knowledge of Epic data structures to ensure accurate interpretation of source data and outcome measures. - Partner with customer clinical informatics and analytics teams to understand source systems, validate assumptions, and ensure reporting accuracy. - Reconcile data definitions across organizations and establish standardized approaches for outcome measurement. Data Analysis & Query Development - Develop complex SQL queries to extract, transform, and analyze healthcare data across multiple sources. - Design analytical methodologies that connect patient-level clinical activity to measurable business outcomes. - Navigate large, complex healthcare datasets to uncover insights and answer strategic business questions. - Partner with data engineering teams to ensure data pipelines support reporting and analytics needs. Data Quality & Governance - Establish quality assurance frameworks and validation processes to ensure reporting accuracy. - Develop and maintain data dictionaries, metric definitions, and reporting standards. - Monitor data quality and proactively identify issues that may impact analyses or customer reporting. REQUIRED QUALIFICATIONS: - 5+ years of experience in healthcare data analysis with demonstrated expertise in clinical data mapping and EHR data structures - Deep clinical domain knowledge including understanding of clinical workflows, medical terminology, and healthcare delivery processes - Advanced SQL proficiency with experience writing complex queries against healthcare databases and EHR systems - EHR Systems Expertise: Hands-on experience with Epic EHR platform is required. Exposure to other EHR platforms (Cerner, AllScripts, or NextGen) is helpful. - Healthcare Data Standards: Working knowledge of FHIR, HL7, ICD-10, CPT, SNOMED, and other clinical coding systems - Data Quality Experience: Proven track record developing and implementing data validation frameworks and quality assurance processes - Client-facing Skills: Strong ability to work directly with health system stakeholders, translate technical concepts for clinical audiences, and manage complex data reconciliation projects - Problem-solving Capabilities: Demonstrated ability to troubleshoot complex data mapping issues and develop creative solutions for non-standard data formats - Communication Skills: Excellent written and verbal communication with ability to document complex mappings and present findings to varied technical and clinical audiences - Bachelor's degree in Health Informatics, Healthcare Administration, Data Science, or related field DESIRABLE SKILLS: - Clinical Background: Clinical training, HIM certification, or formal healthcare informatics education - FHIR Implementation Experience: Hands-on experience with FHIR mapping and transformation projects - Epic Certification: Cogito, Caboodle, Clarity, or Chronicles training and certification - Regulatory Knowledge: Understanding of HIPAA, HITECH, and healthcare data governance requirements - Analytics Tools: Proficiency in Python, R, Tableau, or similar analytical platforms - Project Management: Experience leading cross-functional data mapping initiatives - Master's degree in relevant field - Professional certifications in health informatics (RHIA, CHPS, or similar) TECHNICAL ENVIRONMENT: You'll work with healthcare data from diverse sources including: - Epic (Clarity, Chronicles, FHIR APIs) - Cerner, AllScripts, and other major EHR platforms - Claims data (CMS, commercial payers) - Clinical registries and specialty systems - FHIR R4 and legacy HL7 formats IMPACT & GROWTH OPPORTUNITY: As a Senior Healthcare Data Analyst at Qualified Health, you'll directly influence how our AI platform interprets and leverages clinical data from major health systems. Your expertise in clinical data mapping will be fundamental to ensuring our platform delivers accurate, meaningful insights that improve patient care. This role offers significant growth potential as we expand across diverse healthcare organizations and clinical use cases. Why Join Qualified Health? This is an opportunity to join a fast-growing company and a world-class team, that is poised to change the healthcare industry. We are a passionate, mission-driven team that is building a category-defining product. We are backed by premier investors and are looking for founding team members who are excited to do the best work of their careers. Our employees are integral to achieving our goals so we are proud to offer competitive salaries with equity packages, robust medical/dental/vision insurance, flexible working hours, hybrid work options and an inclusive environment that fosters creativity and innovation. Our Commitment to Diversity Qualified Health is an equal opportunity employer. We believe that a diverse and inclusive workplace is essential to our success, and we are committed to building a team that reflects the world we live in. We encourage applications from all qualified individuals, regardless of race, color, religion, gender, sexual orientation, gender identity or expression, age, national origin, marital status, disability, or veteran status. Pay & Benefits: The pay range for this role is between $120,000 and $160,000, and will depend on your skills, qualifications, experience, and location. This role is also eligible for equity and benefits. Join our mission to revolutionize healthcare with AI. To apply, please send your resume through the application below.", "summaryDescription" : "Senior Healthcare Data Analyst - Analytics at Qualified Health. Skills: Data Science, Data Engineering, Machine Learning, Business Intelligence. Develop and implement data models. Build and maintain data pipelines", "createdAt" : "2026-06-14T20:16:55.506", "lastUpdated" : "2026-06-16T03:02:16.190", "ingestTimestamp" : "2026-06-14T20:16:55.506", "mongoId" : "6a2c767e74d8ee00a093a1f6", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 120000, "salaryAnnualMax" : 160000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Data analysis", "Data engineering", "Machine learning", "Statistical modeling", "A/B testing", "Causal inference", "Data warehousing", "ETL processes", "Data visualization", "Data Science", "Data Engineering", "Machine Learning", "Business Intelligence", "Data modeling", "Statistical analysis", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Healthcare data", "Clinical data", "Healthcare analytics", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Snowflake", "BigQuery", "Redshift", "Databricks", "Dbt", "Airflow", "Tableau", "Power BI", "Looker", "Scikit-learn", "TensorFlow", "PyTorch", "AWS", "GCP", "Azure" ], "skillCount" : 40, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 871.37866, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.98 }, { "id" : "6a305098f292fd229cef28eb", "title" : "Senior Manager, BizOps & Analytics", "company" : "Jerry.ai", "industry" : "Data", "salary" : { "min" : 170000.0, "max" : 210000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "New York, New York", "locations" : [ "New York, New York", "San Francisco Bay Area", "Boston, Massachusetts", "Atlanta, Georgia", "Denver, Colorado", "Austin, Texas", "Miami, Florida" ], "timestamp" : "2026-06-16T10:22:50.609", "fingerprint" : "216ca82881666781998234198e0fbc798e94c407e43c5b28bae96ef01659e62c", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/jerry.ai/2455d942-1f05-46d6-811a-bb703e0cf22e/application", "externalId" : "2455d942-1f05-46d6-811a-bb703e0cf22e", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "technicalSkills" : "Excel, SQL, Python", "professionalSkills" : [ "First principles thinking", "Problem solving", "Data analysis", "Decision making", "Analytical insights" ], "hardSkillsList" : [ "Data interpretation", "Data structuring", "Data pulling" ], "softSkillsList" : [ "Direct communicator" ], "hardSkills" : [ { "name" : "Data interpretation", "level" : "intermediate" }, { "name" : "Data structuring", "level" : "intermediate" }, { "name" : "Data pulling", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Direct communicator" } ], "majorSkills" : "BizOps, Analytics, Problem solving", "majorSkillsList" : [ "BizOps", "Analytics", "Problem solving" ], "coreResponsibilities" : "Define business questions, Push back on flawed questions, Define metrics, Build reports, Run analyses, Design experiments, Surface data insights, Bring recommendations to counterparts, Tell what is happening, Tell why it is happening, Tell what next steps should be", "teamCollaboration" : "Embedded business unit", "domainKnowledge" : "Car insurance; Driving insights; Car maintenance; Car repairs; Home ownership; Motorcycle ownership; RV ownership", "domainList" : [ "car-insurance", "driving-insights", "car-maintenance", "car-repairs", "home-ownership", "motorcycle-ownership", "rv-ownership" ], "domainSpecificKnowledge" : [ "Car insurance", "Driving insights", "Car maintenance", "Car repairs", "Home ownership", "Motorcycle ownership", "RV ownership" ], "toolProficiency" : [ "Clickhouse", "Metabase", "Jupyter Hub", "GitHub" ], "communicationSkills" : "Write clearly; Speak precisely", "problemSolvingSkills" : "First principles thinker; Break ambiguous problems", "outcomesObjectives" : "Move team metrics; Go from 5M to 50M customers; Become $10B business", "qualificationsBasic" : "6+ years consulting experience, 6+ years investment bank experience, 6+ years high-growth tech experience, Analytical ability to pull data, Analytical ability to structure data, Analytical ability to interpret data, Track record of owning problems, Track record of delivering impact, Clear communicator, Persuasive communicator, Influence leadership decisions", "remoteFriendly" : false, "rawDescription" : "Why We Exist Your car and your home are your most important assets, yet the experience of owning them is stuck in the 90s. Every part of the journey — buy/sell, insurance, maintenance, repairs — is fragmented, complicated, and expensive. Jerry.ai http://Jerry.ai is building the first app to manage it all. We started with car insurance in 2019, became one of the top 3 brokers in the U.S., then added driving insights, diagnostics, and a repair marketplace. We've reached 5M+ customers, raised $240M+, scaled revenue 70X, and became profitable in early 2024. We're now expanding into adjacent verticals (e.g. home, motorcycle, RV, etc) to become the one-stop-shop for all your physical assets. Why We’re Hiring Our BizOps & Analytics team has been a force multiplier and accelerant to our business that has helped us reach these pivotal milestones in spite of headwinds and within a highly competitive market. They are a team of former McKinsey, BCG and Bain consultants who drive data & insights, and inform decision-making across every corner of our business. They are analytical powerhouses and first principles problem solvers who push forward our most important initiatives across product, growth, tech, and operations. Every business unit has a BizOps team member embedded within it — someone who doesn't just run analyses and build dashboards, but shapes what questions we should ask, what data to pull, what conclusions to draw, what decisions to make, and then drives our teams towards our next goal: go from 5M to 50M customers and become a $10B business in the next 4 years. As our business continues to expand, there is growing demand for more BizOps team members. We are hiring 4-6 people to drive impact in these areas: - Growth Marketing - Product Development - AI & Automation - Strategic Partnerships On leveling: You may see job ads for this role at different job levels. Our priority is finding the right people, we can be flexible with job title/leveling. Why You Will (Or Won't) Like Working Here - No slides: If you've worked in consulting, you know what it feels like to be up at 3am reformatting a deck. That doesn't exist here. The only work that gets done at Jerry is work that will materially change the trajectory of our business — an important product, a new growth channel, a key metric, a critical partner relationship, etc. - No corporate fluff: The BizOps & Analytics team is 14 insatiable learners who care deeply about solving difficult problems and making a tangible impact. Every person owns a critical domain. There is no bloat, unnecessary meetings, or waiting for approvals. - Hands-on: This is not a pure strategy role, you will also own execution. Your day-to-day will be surfacing analytical insights, driving decisions, and seeing them through end-to-end. What You'll Own You'll sit on our central BizOps & Analytics team but you’ll be embedded in one of Jerry's core business areas — growth, product, AI and automation, strategic partnerships — and own the analytical function for that business unit end-to-end. - Define the right problems: Before any analysis, understand what business question it's answering and what decision it will inform. Push back if the question is flawed. - Data and insights: Define metrics, build reports, run analyses, design experiments, and surface data insights that move your team's key metrics. - Drive outcomes: Bring recommendations to your counterparts in product, growth, finance or operations, tell them what's happening and why, and what next steps should be. Who You Are - First principles thinker: You break ambiguous problems into clear hypotheses before touching data. You're analytically strong (comfortable with Excel, SQL or Python) but your instinct is to ask \"what are we trying to solve here?\" before jumping to \"what should I build?\" - Direct communicator: You can walk a skeptical stakeholder through a complex finding and get buy-in quickly. You write clearly, speak precisely, and don't bury the lede. - Owner: You act like your name is on the door. If something is broken, you feel responsible for fixing it, even if it’s outside of your swim lane. What You'll Bring - 6+ years of experience at a consulting firm, investment bank, or high-growth technology company. - Strong analytical skills; ability to pull, structure, and interpret data independently. - Track record of owning ambiguous problems and delivering impact. - Clear, persuasive communicator who can influence decisions at the leadership level. Our Tools SQL (Clickhouse), Metabase, Python, Jupyter Hub, GitHub. While we appreciate your interest and application, only applicants under consideration will be contacted. Jerry.ai is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on race, religion, color, national origin, sex, pregnancy, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, or other characteristics protected by applicable local, state or federal laws. Jerry.ai is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at recruiting@jerry.ai recruiting@getjerry.com The successful candidate’s starting pay will fall within the pay range listed on this job posting, determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation may include opportunities for equity grants. We offer a comprehensive benefits package to regular employees, including health, dental, and vision coverage, paid time off, paid parental leave, 401(K) plan with employer matching, and wellness benefits, among others. Equity opportunities may also be part of your total rewards package. Part-time, contract, or freelance roles may not be eligible for certain benefits. About Jerry.ai Jerry.ai is America’s first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets. Backed by artificial intelligence and machine learning, Jerry.ai simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We spend every day innovating and improving our AI-powered app to provide the best possible experience for our customers. From car insurance and financing to maintenance and safety, Jerry.ai does it all. We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers — and we’re just getting started. Jerry.ai was founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing. Join our team and work with passionate, curious and egoless people who love solving real-world problems. Help us build a revolutionary product that’s disrupting a massive market.", "summaryDescription" : "Senior Manager, BizOps & Analytics at Jerry.ai. Skills: BizOps, Analytics, Problem solving. Define business questions. 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Boomi aims to make the world a better place by connecting everyone to everything, anywhere. Our award-winning, intelligent integration and automation platform helps organizations power the future of business. At Boomi, you’ll work with world-class people and industry-leading technology. We hire trailblazers with an entrepreneurial spirit who can solve challenging problems, make a real impact, and want to be part of building something big. If this sounds like a good fit for you, check out boomi.com or visit our Boomi Careers page to learn more. How You'll Make An Impact: As Senior Product Marketing Manager for Data Management, you'll own the marketing strategy for Boomi's data management capabilities within the Boomi Enterprise Platform. Given Boomi is “The Data Activation Company”, this is one of the most strategically important areas of our product portfolio. You'll bring deep domain fluency, sharp market instincts, and the credibility to represent Boomi externally with analysts, customers, and industry audiences. This is a high-visibility role for a seasoned product marketer who has worked inside the data management space and who knows how to navigate the analyst ecosystem, from briefings and inquiries to leading report submissions like Gartner Magic Quadrants and Forrester Waves. What you’ll do: Develop sharp, differentiated messaging and positioning for Boomi Data Management that resonates with buyers and stands out in a crowded market Lead and execute the marketing strategy for data management, working closely with product management on launches and serving as the voice of the buyer to help shape roadmap decisions Support Boomi's analyst relations program for data management - leading briefings and inquiries, and driving product and marketing sections of analyst report submissions Produce high-quality content across the full funnel: case studies, white papers, solution briefs, demos, blog posts, and competitive battlecards Partner with sales to build and deliver enablement materials that help teams win in competitive deals Collaborate with the marketing programs team to design and execute programs that drive awareness, pipeline, and product adoption Track and analyze marketing performance, continuously refining strategies based on data and market feedback Monitor industry trends to keep Boomi's positioning sharp and relevant Represent Boomi as a subject matter expert at customer events, conferences, and webinars Contribute to an exceptional product trial experience that converts interest into adoption The Experience You Bring 8+ years of product marketing experience, with most spent marketing data management solutions at a data management vendor or a platform company with strong data management capabilities, this domain expertise is essential Proven track record of doing analyst briefings and driving submissions for major industry analyst reports (Gartner Magic Quadrant, Forrester Wave, or equivalent) Demonstrated success developing and executing marketing strategies that drive measurable impact on pipeline and adoption Exceptional communicator who can translate complex technical concepts into clear, persuasive narratives for both technical and business audiences Experience presenting at customer-facing events, webinars, or industry conferences as a subject matter expert Strong analytical mindset with the ability to turn market data into actionable strategy Collaborative by nature, with experience working cross-functionally across product, sales, and customer success Familiarity with agentic AI trends and how they intersect with the data management landscape Bachelor's or master's degree in marketing, business, or a related field Be Bold. Be You. Be Boomi. We take pride in our culture and core values and are committed to being a place where everyone can be their true, authentic self. Our team members are our most valuable resources, and we look for and encourage diversity in backgrounds, thoughts, life experiences, knowledge, and capabilities. All employment decisions are based on business needs, job requirements, and individual qualifications. Boomi strives to create an inclusive and accessible environment for candidates and employees. If you need accommodation during the application or interview process, please submit a request to talent@boomi.com. This inbox is strictly for accommodations, please do not send resumes or general inquiries.", "summaryDescription" : "Senior Product Marketing Manager at Boomi. Skills: Product marketing, Data management, Analyst relations. Develop messaging and positioning. Lead marketing strategy", "postedDate" : "2026-06-16T03:17:19.001", "createdAt" : "2026-06-16T03:17:19.001", "lastUpdated" : "2026-06-16T10:56:28.426", "ingestTimestamp" : "2026-06-16T03:17:19.001", "mongoId" : "6a309c7af292fd229c0fb15c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Messaging development", "Positioning development", "Content production", "Performance analysis", "Product marketing", "Data management", "Analyst relations", "Market instincts", "Sales enablement", "Agentic AI trends" ], "skillCount" : 10, "jobCategory" : "marketing", "jobSubcategory" : "growth", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "_score" : 868.39355, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2d3b3474d8ee00a0b2d909", "title" : "Senior Marketing Data Analist", "company" : "KPMG Nederland", "industry" : "Accounting", "salary" : { "min" : 3800.0, "max" : 6000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : false }, "location" : "Amstelveen, NH, Netherlands", "locations" : [ "Amstelveen", "NH", "Netherlands" ], "timestamp" : "2026-06-15T07:07:34.576", "fingerprint" : "2c4aa5afd97b7c5703ad1db50564d7ddf8e843501716d0ee69046f1bd3be4314", "source" : "smartrecruiters", "language" : "nl", "applyUrl" : "https://jobs.smartrecruiters.com/KPMGNederland/744000131849030-senior-marketing-data-analist", "externalId" : "744000131849030", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Amstelveen", "state" : "North Holland", "country" : "Netherlands", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "52.2862177,4.8526493" } ], "locationText" : "Amstelveen, North Holland, Netherlands", "employmentType" : "CONTRACT", "experienceMinYears" : 8, "experienceMaxYears" : 10, "experienceLevel" : "not-applicable", "technicalSkills" : "Power BI, Excel, SQL, Google Tag Manager, Adobe Launch", "professionalSkills" : [ "Data analysis", "Reporting", "Forecasting", "Scenario analysis", "KPI monitoring", "Data translation", "Strategic thinking", "Agile working" ], "hardSkillsList" : [ "Data structuring", "Tracking implementation", "Data compliance" ], "softSkillsList" : [ "Coaching", "Knowledge sharing" ], "hardSkills" : [ { "name" : "Data structuring", "level" : "intermediate" }, { "name" : "Tracking implementation", "level" : "intermediate" }, { "name" : "Data compliance", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Coaching" }, { "name" : "Knowledge sharing" } ], "majorSkills" : "Marketing analytics, Data analysis, Business intelligence, Reporting", "majorSkillsList" : [ "Marketing analytics", "Data analysis", "Business intelligence", "Reporting" ], "coreResponsibilities" : "Build dashboards, Build reports, Connect data sources, Structure data sources, Set up measurement plans, Implement tracking, Ensure tags work, Ensure triggers work, Ensure data layers work, Make forecasts, Make scenario analyses, Monitor KPIs, Translate data to insights, Translate data to improvements, Translate data to advice, Train team, Coach team, Share knowledge, Engage stakeholders, Monitor data quality, Monitor compliance", "teamCollaboration" : "Internal stakeholders; External stakeholders; Marketing teams; Data teams; IT teams; Web design specialists; Digital channels specialists; Marketing technology specialists", "projectManagementSkills" : [ "Agile" ], "domainKnowledge" : "Marketing analytics; Data compliance; AVG/GDPR", "domainList" : [ "marketing-analytics", "data-compliance", "avg-gdpr" ], "domainSpecificKnowledge" : [ "Marketing analytics", "Data compliance", "AVG/GDPR" ], "toolProficiency" : [ "Power BI", "Excel", "SQL", "Google Tag Manager", "Adobe Launch" ], "communicationSkills" : "Translate data; Provide advice; Explain concepts; Share knowledge", "continuousLearning" : "Training; Education", "problemSolvingSkills" : "Translate complex questions", "outcomesObjectives" : "Drive decisions; Improve digital performance; Improve user experience", "qualificationsBasic" : "8-10 years experience, Marketing analytics experience, Data analysis experience, Business intelligence experience, Power BI skills, Excel skills, SQL skills, Connect data sources, Set up data structures, Knowledge of privacy rules, Understand data compliance", "qualificationsPreferred" : "Agile working experience", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "* Je bouwt dashboards en rapportages in o.a. Power BI en zorgt dat deze aansluiten op de informatiebehoefte van de organisatie * Je koppelt en structureert databronnen tot een betrouwbaar geheel * Je zet meetplannen op, richt tracking in (Google Tag Manager of Adobe Launch) en zorgt dat tags, triggers en datalagen correct werken * Je maakt forecasts en scenario-analyses, monitort KPI’s en zorgt dat meetplannen daadwerkelijk sturen op resultaat * Je vertaalt data naar scherpe inzichten, concrete verbeterkansen en praktisch advies waar teams direct mee verder kunnen * Je versterkt het team in data (training, coaching, kennisdeling), schakelt met interne en externe stakeholders en bewaakt datakwaliteit en compliance (AVG/GDPR) Als Data & Reporting Analyst maak jij marketingdata bruikbaar voor de afdeling Marketing & Reputation. Je verzamelt en combineert data, duikt in de cijfers en vertaalt je inzichten naar dashboards en rapportages die richting geven. Zo help je collega’s sneller en beter beslissingen te nemen. Je werkt nauw samen met teams uit marketing, data en IT en je adviseert op basis van heldere analyses. Daarbij bewaak je de datakwaliteit en zorg je dat we privacy- en compliance-afspraken volgen. Ook neem je het team mee: je legt uit, helpt verbeterkansen te identificeren en deelt kennis. Zo verbind je marketeers, developers en data-analisten. “Als Data & Reporting Analyst bij KPMG geef je data betekenis. Je verbindt inzichten uit verschillende Marketing & Reputatie databronnen en ziet hoe jouw analyses direct bijdragen aan strategie. Het is dynamisch, impactvol en je werkt echt op het snijvlak van data & digitale innovatie.” — Lorrell Cheng, Channels & Insights Team Je werkt in het Product Team Channels & Insights binnen Marketing & Reputatie (M&R) van KPMG Nederland. Samen zorgen we dat data niet alleen klopt, maar ook echt gebruikt wordt. Je werkt met specialisten in Web Design, Digital Channels en Marketing Technology. Met jouw inzichten verbeteren we onze digitale prestaties en maken we de gebruikerservaring elke dag een stukje beter. ## Qualifications * Minimaal 8–10 jaar aantoonbare ervaring in marketing analytics, data-analyse en/of business intelligence, met sterke vaardigheden in Power BI, Excel en SQL * Ervaring met het slim koppelen van databronnen en het opzetten van datastructuren die automatische rapportages mogelijk maken * Kennis van privacyregels (AVG/GDPR) en begrip van wat data compliance in de praktijk vraagt * Strategisch denkvermogen en het snel vertalen van complexe vraagstukken naar heldere, concrete inzichten * Sterke communicatieve vaardigheden in Nederlands en Engels; ervaring met agile werken is een pré ## Additional Information * Brutomaandsalaris tussen € 3.800,- en € 6.000,- afhankelijk van je werkervaring, variabele prestatie beloning, een vaste onkostenvergoeding en een vaste thuiswerkvergoeding per gewerkte dag. * Een flexibel pensioen zonder verplichte eigen bijdrage. * 30 vakantiedagen (op fulltime basis) en de mogelijkheid om meer dagen te kopen of je vakantiedagen te verkopen. * Bij KPMG werken we hybride, dus een combinatie van zowel thuis als op kantoor. * Een volledig ingerichte thuiswerkplek. * Vergoeding van je reiskosten met een NS business kaart of reiskostenvergoeding. * Een laptop en iPhone. * Een uitgebreid aanbod van trainingen en opleidingen die bijdragen aan jouw professionele en persoonlijke ontwikkeling. * Diversiteitsnetwerken op het gebied van pride, gender, ability, cultural diversity en generations die regelmatig verschillende activiteiten organiseren om verschil te vieren! * Aandacht voor vitaliteit! Sporten op het kantoor in Amstelveen of korting op een sportschool bij jou in de buurt én toegang tot coaching, gezondheids- en vitaliteitprogramma’s. * ‘Together’ is één van onze kernwaarden. Je kunt dus rekenen op verschillende sociale activiteiten zoals teamuitjes, borrels en evenementen samen met je collega’s.", "summaryDescription" : "Senior Marketing Data Analist at KPMG Nederland. Skills: Marketing analytics, Data analysis, Business intelligence, Reporting. Build dashboards. Build reports", "postedDate" : "2026-06-12T09:11:50.000", "createdAt" : "2026-06-14T05:09:22.559", "lastUpdated" : "2026-06-15T07:07:34.576", "ingestTimestamp" : "2026-06-14T05:09:22.559", "mongoId" : "6a2d3b3474d8ee00a0b2d909", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Data structuring", "Tracking implementation", "Data compliance", "Coaching", "Knowledge sharing", "Marketing analytics", "Data analysis", "Business intelligence", "Reporting", "Forecasting", "Scenario analysis", "KPI monitoring", "Data translation", "Strategic thinking", "Agile working", "Agile", "AVG/GDPR", "Power BI", "Excel", "SQL", "Google Tag Manager", "Adobe Launch" ], "skillCount" : 22, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "_score" : 865.93585, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Consulting", "llmIndustryConfidence" : 0.95 }, { "id" : "6a30a1e0f292fd229c116c59", "title" : "Senior/Staff Data Scientist, Product Analytics", "company" : "Gallup", "salary" : { "min" : 135000.0, "max" : 180000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Omaha Riverfront", "locations" : [ "Omaha Riverfront" ], "timestamp" : "2026-06-16T14:10:48.359", "fingerprint" : "df4fb5183ce8d7b287b382fa0a23ef9977e48b1a697c4d21cef67c000c54c25a", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/gallup/jobs/4156860009", "externalId" : "4156860009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Omaha", "state" : "Nebraska", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "41.2587459,-95.9383758" } ], "locationText" : "Omaha, Nebraska, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "rawDescription" : "Shape product road maps and strategies with data-driven analytics and insights. As a senior/staff data scientist focused on product analytics for our Technology team, you’ll work with product managers, engineers and designers to define success, validate hypotheses, and measure user behavior and product performance. We’re looking for self-driven, curious analytics partners who thrive in ambiguity, learn continually and help teams accelerate decision-making. At Gallup, our analytics reflect what the world is thinking, empower millions of people to thrive using their strengths, and help leaders create exceptional workplaces. If you want your work to influence products that bring that mission to life, we’d love to hear from you. What You’ll Do Partner with product teams early in discovery, road map discussions and launch planning to turn goals into measurable outcomes Define and govern success metrics by building trusted metric definitions, dashboards and data models that enable self-serve decision-making Design and evaluate product experiments and analyses to assess the impact of new features, onboarding changes and product improvements Serve as a thought partner to product managers by pressure-testing hypotheses before implementation and confirming whether outcomes match expectations after launch Translate analysis into action by communicating what happened; why it happened; and what stakeholders, leaders and partners should do next Improve analytics readiness by partnering with data platform and engineering teams on instrumentation, extraction, processing and modeling to ensure reliable, analysis-ready data Scale product analytics at Gallup by contributing to best practices, frameworks and repeatable ways of working What Makes You Stand Out Proactive problem-solving: You anticipate issues and opportunities in the data, translate analysis into action, and rapidly drive improvements to the user experience. Persistent resourcefulness: You independently create clarity from ambiguity, connecting distributed data, validating quality and delivering insights without relying on fully defined systems. Trusted product partnership: You collaborate closely with product, engineering, design, research and operations teams to solve complex problems, and confidently deliver constructive, data-backed recommendations. Experimentation judgment: You know when A/B tests are feasible and when they aren’t, and you can choose rigorous alternatives to answer product questions. Expert data storytelling: You explain trends, uncertainty and limitations in plain language and deliver recommendations people can act on. Curious culture-builder: You experiment with emerging tools, including AI, to improve team effectiveness and actively build data fluency so partners can confidently navigate metrics and insights. What You Need Bachelor’s degree in computer science, computer engineering, mathematics, statistics or a related field, or equivalent experience, required At least five years of experience in product analytics or data science required; eight or more years of experience preferred At least five years of experience with SQL for analysis in modern data environments required At least five years of experience with Python and data science tool kits (e.g., pandas) required Experience leading data-driven projects end to end, including defining metrics, designing experiments/analyses and communicating actionable insights required Strong statistical intuition, analytical rigor, and experience validating data and performing quality checks required High fluency with MPP databases such as Snowflake or Redshift required Some data engineering or instrumentation experience (pipelines, event tracking, modeling) preferred A commitment to working on-site at Gallup’s Omaha office at least three days per week required About Gallup At Gallup, we change the world, one client at a time, through extraordinary analytics and advice on everything important facing humankind. Learn more about our work and life at Gallup. Gallup offers a robust benefits package that includes medical, dental, vision, life and other insurance options; a fully vested 401(k) retirement savings plan with company matching; an employee stock ownership program; family-building benefits; an employee assistance program; and various reimbursements and activities that enhance our associates’ wellbeing. We also offer an estimated annual salary range of $135,000-$180,000 for this role. Salaries are based on a variety of factors, including an individual’s education, experience and skills. Gallup is an equal opportunity employer. We consider all qualified applicants without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender identity, or any other legally protected basis, in accordance with applicable law. To review Gallup’s Privacy Statement, please click this link: https://www.gallup.com/privacy. This privacy policy is meant to help you understand what information we collect, why we collect it, and how you can update, manage and delete your information. Your application and the information you provide will be processed and stored in the United States. #LI-Hybrid #LI-KW1", "summaryDescription" : "Senior/Staff Data Scientist, Product Analytics at Gallup", "postedDate" : "2026-06-16T03:17:26.320", "createdAt" : "2026-06-16T03:17:26.320", "lastUpdated" : "2026-06-16T14:10:48.359", "ingestTimestamp" : "2026-06-16T03:17:26.320", "mongoId" : "6a30a1e0f292fd229c116c59", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 135000, "salaryAnnualMax" : 180000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 861.6387, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Market Research", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c6ae374d8ee00a090ee1d", "title" : "Senior Software Engineer - Data Analytics", "company" : "PubMatic", "location" : "Pune", "locations" : [ "Pune" ], "timestamp" : "2026-06-15T13:42:20.572", "fingerprint" : "f0a09d797a7b8bddfdfb8fb14fcaa6ba7553a1bdebf9f9a9dab36e9b221f47d6", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://pubmatic.com/job/?gh_jid=5146913008", "externalId" : "5146913008", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Pune", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite" } ], "locationText" : "Pune, India", "employmentType" : "FULL_TIME", "experienceMinYears" : 1, "experienceMaxYears" : 5, "experienceLevel" : "Senior", "technicalSkills" : "Scala, Python, Java, REST APIs, JDBC, LLMs, OpenAI, Claude, Mistral, LangChain, LlamaIndex", "professionalSkills" : [ "Data Analytics, Big Data, AI agents, GenAI, digital advertising." ], "hardSkillsList" : [ "Scala Spark", "Kafka", "Hadoop", "Snowflake", "OpenAI", "Anthropic", "Cohere" ], "hardSkills" : [ { "name" : "Scala Spark", "level" : "intermediate" }, { "name" : "Kafka", "level" : "intermediate" }, { "name" : "Hadoop", "level" : "intermediate" }, { "name" : "Snowflake", "level" : "intermediate" }, { "name" : "OpenAI", "level" : "intermediate" }, { "name" : "Anthropic", "level" : "intermediate" }, { "name" : "Cohere", "level" : "intermediate" } ], "majorSkills" : "Scala, Spark, Kafka, Hadoop, GenAI", "majorSkillsList" : [ "Scala, Spark, Kafka, Hadoop, GenAI" ], "coreResponsibilities" : "Build, design, and implement highly scalable, fault-tolerant big data platform; Develop backend services; Build and maintain Big Data pipelines; Architect and implement real-time data processing workflows; Design and develop GenAI-powered agents; Integrate LLMs into existing services; Manage end-to-end GenAI workflows; Work closely with cross-functional teams; Participate in Agile/Scrum processes; Discuss software features with product managers; Support customer issues; Perform code and design reviews.", "teamCollaboration" : "Working closely with cross-functional teams on improving the availability and scalability of large data platforms and the functionality of PubMatic software.", "projectManagementSkills" : [ "Agile/Scrum processes", "sprint planning", "sprint retrospective", "backlog grooming", "user story management", "work item prioritization" ], "toolProficiency" : [ "AWS, JIRA" ], "communicationSkills" : "discuss with product managers; customer issues", "problemSolvingSkills" : "data structure; algorithm design; architectural specifications; distributed systems", "specialRequirements" : "We don’t just value diversity, we promote and celebrate it. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.", "outcomesObjectives" : "Enhance data analytics capabilities, enable platform to handle complex information retrieval, contextual understanding, and adaptive interactions, ultimately improving data-driven insights and analytical workflows.", "qualificationsBasic" : "1-5 plus years of coding experience in Java and backend development. Solid computer science fundamentals, including data structure and algorithm design, and creation of architectural specifications. Expertise in developing the Implementation of professional software engineering best practices for the full software development life cycle, including coding standards, code reviews. Hands-on experience with Big Data tools and systems like Scala Spark, Kafka, Hadoop, Snowflake. Proven expertise in building GenAI applications, including: LLM integration (OpenAI, Anthropic, Cohere, etc. ) LangChain, or similar agent orchestration libraries Prompt engineering, embedding, and retrieval-based generation (RAG) Experience in developing and deploying scalable, production-grade AI or data systems. Ability to lead end-to-end feature development and debug distributed systems. Experience in developing and delivering large-scale big data pipelines, real-time systems.", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "About the Role PubMatic is seeking Data Analytics-focused Senior / Software Engineers with expertise in building and optimizing AI agents, including strong skills in Hadoop, Spark, Scala, Kafka, Spark Streaming, and cloud-based solutions, with proficiency in programming languages such as Scala and Python. You will be responsible for developing advanced AI agents that enhance our data analytics capabilities, enabling our platform to handle complex information retrieval, contextual understanding, and adaptive interactions, ultimately improving our data-driven insights and analytical workflows. What You'll Do: Build, design, and implement our highly scalable, fault-tolerant big data platform to process terabytes of data and provide customers with in-depth analytics. Develop backend services using Java, REST APIs, JDBC, and AWS. Build and maintain Big Data pipelines using technologies like Spark, Hadoop, Kafka, and Snowflake. Architect and implement real-time data processing workflows and automation frameworks. Design and develop GenAI-powered agents for analytics, operations, and data enrichment use cases using frameworks like LangChain, LlamaIndex, or custom orchestration systems. Integrate LLMs (e.g., OpenAI, Claude, Mistral) into existing services for query understanding, summarization, and decision support. Manage end-to-end GenAI workflows including prompt engineering, fine-tuning, vector embeddings, and retrieval-augmented generation (RAG). Working closely with cross-functional teams on improving the availability and scalability of large data platforms and the functionality of PubMatic software. Participate in Agile/Scrum processes such as sprint planning, sprint retrospective, backlog grooming, user story management, and work item prioritization. Frequently discuss with product managers about the software features to include in the PubMatic Data Analytics platform. Support customer issues over email or JIRA (bug tracking system), provide updates, and patches to customers to fix the issues. Perform code and design reviews for code implemented by peers or as per the code review process. We'd Love for You to Have: 1-5 plus years of coding experience in Java and backend development. Solid computer science fundamentals, including data structure and algorithm design, and creation of architectural specifications. Expertise in developing the Implementation of professional software engineering best practices for the full software development life cycle, including coding standards, code reviews. Hands-on experience with Big Data tools and systems like Scala Spark, Kafka, Hadoop, Snowflake. Proven expertise in building GenAI applications, including: LLM integration (OpenAI, Anthropic, Cohere, etc.) LangChain, or similar agent orchestration libraries Prompt engineering, embedding, and retrieval-based generation (RAG) Experience in developing and deploying scalable, production-grade AI or data systems. Ability to lead end-to-end feature development and debug distributed systems. Experience in developing and delivering large-scale big data pipelines, real-time systems we don’t just value diversity, we promote and celebrate it. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status About PubMatic PubMatic is one of the world’s leading scaled digital advertising platforms, offering more transparent advertising solutions to publishers, media buyers, commerce companies and data owners, allowing them to harness the power and potential of the open internet to drive better business outcomes. Founded in 2006 with the vision that data-driven decisioning would be the future of digital advertising, we enable content creators to run a more profitable advertising business, which in turn allows them to invest back into the multi-screen and multi-format content that consumers demand.", "summaryDescription" : "Senior Software Engineer - Data Analytics at PubMatic. Skills: Scala, Spark, Kafka, Hadoop, GenAI. Build, design, and implement highly scalable, fault-tolerant big data platform; Develop backend services; Build and maintain Big Data pipelines; Architect and implement real-time data processing workflows; Design and develop GenAI-powered agents; Integrate LLMs into existing services; Manage end-to-end GenAI workflows; Work closely with cross-functional teams; Participate in Agile/Scrum processes; ", "postedDate" : "2026-06-14T19:14:54.232", "createdAt" : "2026-06-14T19:14:54.232", "lastUpdated" : "2026-06-15T13:42:20.572", "ingestTimestamp" : "2026-06-14T19:14:54.232", "mongoId" : "6a2c6ae374d8ee00a090ee1d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "hasSalary" : false, "allSkills" : [ "Scala Spark", "Kafka", "Hadoop", "Snowflake", "OpenAI", "Anthropic", "Cohere", "Scala, Spark, Kafka, Hadoop, GenAI", "Data Analytics, Big Data, AI agents, GenAI, digital advertising.", "Agile/Scrum processes", "sprint planning", "sprint retrospective", "backlog grooming", "user story management", "work item prioritization", "AWS, JIRA" ], "skillCount" : 16, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 857.2656, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c5e4274d8ee00a08e28b1", "title" : "Data Analytics Manager", "company" : "Bolt Technology", "industry" : "Technology", "salary" : { "min" : 55000.0, "max" : 80000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Data Analytics Manager in Tallinn, Estonia, adjusted for manager seniority and technology industry." }, "location" : "Tallinn, Estonia", "locations" : [ "Tallinn", "Estonia" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "dbt Certified" ], "timestamp" : "2026-06-15T00:12:40.133", "fingerprint" : "f595a5ea5e7db2de4bf5212e4e1e675a377b8035f36dc089f445f210cee16345", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://bolt.eu/en/careers/positions/8568325002?gh_jid=8568325002", "externalId" : "8568325002", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Tallinn", "country" : "Estonia", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "59.4372420,24.7572693" } ], "locationText" : "Tallinn, Estonia", "experienceLevel" : "Manager", "technicalSkills" : "SQL, Python, R, Scala, Spark, dbt, Tableau, Power BI, Looker, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, dbt Cloud, Delta Lake, scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, GCP, Azure, S3, Glue, SageMaker, Athena, Vertex AI, Synapse, ML Studio", "professionalSkills" : [ "Billing processes", "Financial data", "Marketplace finances", "Tax reporting", "Payout reconciliation", "Audits", "Financial investigations", "Regulatory reporting", "Pricing logic", "Product lines" ], "hardSkillsList" : [ "Data modelling", "SQL optimization", "Financial reconciliation", "Regulatory compliance", "Process building" ], "softSkillsList" : [ "Leadership", "Intelligence", "Integrity" ], "hardSkills" : [ { "name" : "Data modelling", "level" : "intermediate" }, { "name" : "SQL optimization", "level" : "intermediate" }, { "name" : "Financial reconciliation", "level" : "intermediate" }, { "name" : "Regulatory compliance", "level" : "intermediate" }, { "name" : "Process building", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Intelligence" }, { "name" : "Integrity" } ], "majorSkills" : "Data analytics, Billing systems, Financial data", "majorSkillsList" : [ "Data analytics", "Billing systems", "Financial data" ], "coreResponsibilities" : "Lead and develop a team of analysts, Set high technical standards, Coach analysts toward senior-level thinking, Own reliability and integrity of billing data models, Own reporting foundations, Own financial datasets, Serve as go-to person for finance data topics, Handle complex data requests, Drive platform-level regulatory reporting, Ensure billing data stays compliant, Build structured operational processes, Design models, Set technical standards, Solve production data reconciliation problems", "teamCollaboration" : "Work across Finance; Work across Fraud; Work across Payments; Work across Compliance; Work across Product; Work across Operations; Work with product teams; Work with engineering teams", "projectManagementSkills" : [ "Prioritisation frameworks" ], "domainKnowledge" : "Financial data; Billing systems; Regulatory reporting; Tax rules; Pricing logic; Product lines", "domainList" : [ "financial-data", "billing-systems", "regulatory-reporting", "tax-rules", "pricing-logic", "product-lines" ], "domainSpecificKnowledge" : [ "Financial data", "Billing systems", "Regulatory reporting", "Tax rules", "Pricing logic", "Product lines" ], "toolProficiency" : [ "SQL", "Python", "Tableau", "Power BI", "Looker", "Snowflake", "BigQuery", "Redshift", "Databricks", "dbt", "Fivetran", "Airflow", "AWS", "GCP", "Azure" ], "communicationSkills" : "Stakeholder management", "continuousLearning" : "Accelerate professional growth; Unique career opportunities", "problemSolvingSkills" : "Problem structuring", "outcomesObjectives" : "Scale and improve billing processes; Make marketplace finances legible; Make marketplace finances trustworthy; Make marketplace finances actionable", "qualificationsBasic" : "Technical depth in SQL, Data modelling experience, Experience with financial data, Formal management experience a plus", "qualificationsPreferred" : "PhD preferred, Specific ML framework experience, Cloud platform certs", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "We are looking for an experienced Data Analytics Manager to join our Commerce team and help us scale and improve our billing processes across 50+ countries. About us Bolt is one of the fastest-growing tech companies in Europe and Africa, with over 200 million customers in 50+ countries. We’re a global team of more than 100 nationalities joined on a common mission – to make cities for people, not cars. And we need you to make it happen! About the role At our core, we enable commerce – and behind every transaction on our platform sits a complex web of financial data that needs to be accurate, compliant, and available to the people who depend on it. We're building the analytical foundations that make marketplace finances legible, trustworthy, and actionable at scale. As a Data Analytics Manager in Billing, you'll own the team responsible for making sense of how money moves through our platform. From marketplace financial data that powers decisions across the company, to platform-level metrics that measure operational health, to complex regulatory reporting like DAC7 – your team is the one others turn to when they need the numbers to be right. This is a hands-on leadership role. You'll manage a small team of analysts while still getting deep into the data yourself – designing models, setting technical standards, and solving the kinds of problems where production data needs to reconcile down to the cent with financial records. You'll work across Finance, Fraud, Payments, Compliance, Product, and Operations, often under pressure and with competing priorities. It's a role for someone who thrives in high-stakes, compliance-heavy environments and knows how to bring structure to chaos without losing speed. You'll sit in the Billing group within Commerce, alongside product and engineering teams building the systems your data describes. Your daily adventures will include: Leading and developing a team of analysts, setting high technical standards and coaching them toward senior-level thinking – not just in SQL, but in how to approach problems. Owning the reliability and integrity of billing-related data models, reporting foundations, and financial datasets used across the company. Serving as the go-to person for finance-related data topics across Commerce – tax reporting, payout reconciliation, audits, and financial investigations all land on your desk. Handling complex data requests from internal stakeholders (Finance, Ops, Product) and external counterparties, often with tight deadlines and high expectations. Driving platform-level regulatory reporting (e. g. DAC7) and ensuring billing data stays compliant as tax rules, pricing logic, and product lines evolve. Building structured operational processes – clear SLAs, prioritisation frameworks, and support workflows – so the team can deliver reliably without firefighting. About you: You have strong technical depth in SQL and data modelling, and you're recent enough with it to coach others and review their work critically. You've worked with financial data before – you know what an invoice is, you've chased cents across systems, and you understand what it means to map production data to financial records. You can handle noisy, high-pressure stakeholder environments where the deadline was yesterday and everyone's ask feels urgent. You've led projects or teams before – formal management experience is a plus, but what matters most is that you can set direction, uplift people, and hold a high bar. You think structurally about problems: you'd rather build the right data model than answer the same ad-hoc question three times. You're comfortable operating at the intersection of data, finance, and compliance – and you don't need someone to translate between those worlds for you. Experience is great, but what we really look for is drive, intelligence, and integrity. So even if you don’t tick every box, please consider applying if you feel you’re the kind of person described above! Why you’ll love it here: Play a direct role in shaping the future of mobility. Impact millions of customers and partners in 600+ cities across 50 countries. Work in fast-moving autonomous teams with some of the smartest people in the world. Accelerate your professional growth with unique career opportunities. Get a rewarding salary and stock option package that lets you focus on doing your best work. Enjoy the flexibility of working in a hybrid mode. Take care of your physical and mental health with our wellness perks. *Some perks may differ depending on your location. #LI-Hybrid", "summaryDescription" : "Data Analytics Manager at Bolt Technology. Skills: Data analytics, Billing systems, Financial data. Lead and develop a team of analysts. Set high technical standards", "postedDate" : "2026-06-12T21:44:00.837", "createdAt" : "2026-06-12T21:44:00.837", "lastUpdated" : "2026-06-15T00:12:40.133", "ingestTimestamp" : "2026-06-12T21:44:00.837", "mongoId" : "6a2c5e4274d8ee00a08e28b1", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Data modelling", "SQL optimization", "Financial reconciliation", "Regulatory compliance", "Process building", "Leadership", "Intelligence", "Integrity", "Data analytics", "Billing systems", "Financial data", "Billing processes", "Marketplace finances", "Tax reporting", "Payout reconciliation", "Audits", "Financial investigations", "Regulatory reporting", "Pricing logic", "Product lines", "Prioritisation frameworks", "Tax rules", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "dbt Certified", "SQL", "Python", "Tableau", "Power BI", "Looker", "Snowflake", "BigQuery", "Redshift", "Databricks", "dbt", "Fivetran", "Airflow", "AWS", "GCP", "Azure" ], "skillCount" : 41, "jobCategory" : "other", "jobSubcategory" : "data-analytics", "dataQualityScore" : 0.8888889, "_score" : 853.9363, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "6a2a69f574d8ee00a0639f54", "title" : "Senior Manager, Data Science & Analytics", "company" : "Customer.io", "salary" : { "min" : 175000.0, "max" : 250000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Manager, Data Science & Analytics in the US SaaS industry, adjusted for remote work and manager seniority." }, "location" : "Americas Remote", "locations" : [ "Americas Remote" ], "timestamp" : "2026-06-13T21:14:26.835", "fingerprint" : "45df10783b997f44ef3db650386278e4101c213365db8697f5c01cd4b52a9cfc", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/customerio/jobs/7991018", "externalId" : "7991018", "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" }, { "country" : "Canada", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States; Canada", "experienceLevel" : "Manager", "technicalSkills" : "SQL, Python, Snowflake, dbt", "professionalSkills" : [ "Behavioral analytics", "Customer segmentation", "Product measurement", "Revenue forecasts", "Churn models", "Customer health scores", "Account scoring models", "Opportunity scoring models", "Self-serve data access", "Analytics platform management", "Data analytics platform" ], "hardSkillsList" : [ "Statistical analysis", "Forecasting", "Product analytics", "Business analytics" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Forecasting", "level" : "intermediate" }, { "name" : "Product analytics", "level" : "intermediate" }, { "name" : "Business analytics", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Data Science, Analytics, Machine Learning, Forecasting, Experimentation", "majorSkillsList" : [ "Data Science", "Analytics", "Machine Learning", "Forecasting", "Experimentation" ], "coreResponsibilities" : "Lead and develop a team of Data Scientists, Support Product, Marketing, Sales, and Customer Experience, Lead behavioral analytics efforts, Lead customer segmentation efforts, Lead experimentation efforts, Lead product measurement efforts, Understand customer behavior, Evaluate product performance, Prioritize roadmap investments, Develop revenue forecasts, Maintain churn models, Develop customer health scores, Develop account scoring models, Develop opportunity scoring models, Partner with data engineering team, Manage internal agentic data analytics platform, Support self-serve data access, Support self-serve analytics, Define standards for analytics, Define standards for data science, Define best practices for analytics, Define best practices for data science, Refine operational frameworks, Drive efficiency across the team, Drive scale across the team", "teamCollaboration" : "Partner with leaders; Partner with senior leaders; Cross-functional teams", "projectManagementSkills" : [ "Roadmap planning" ], "domainKnowledge" : "B2B SaaS; PLG; Subscription-based businesses", "domainList" : [ "b2b-saas", "plg", "subscription-based-businesses" ], "domainSpecificKnowledge" : [ "B2B SaaS", "PLG", "Subscription-based businesses" ], "toolProficiency" : [ "Snowflake", "dbt", "Product analytics tools" ], "communicationSkills" : "Communicate complex findings", "continuousLearning" : "Professional development budget", "innovationCreativity" : "AI-native analytics future", "problemSolvingSkills" : "Data-driven decision making", "qualificationsBasic" : "7+ years of experience in Data Science, Analytics, Product Analytics, or a related quantitative field, Experience leading and developing high-performing teams, Expertise in experimentation, forecasting, statistical analysis, and product or business analytics, Advanced SQL skills, Proficiency with Python or similar analytical tools, Experience defining metrics, measurement frameworks, and analytical approaches, Demonstrated ability to partner with senior leaders, Demonstrated ability to influence strategy, Demonstrated ability to communicate complex findings clearly to technical and non-technical audiences, Comfortable balancing strategic leadership with hands-on analytical work, Experience working with modern analytics platforms and data warehouses, Experience with Snowflake, Experience with dbt, Experience with product analytics tools", "qualificationsPreferred" : "PhD preferred, Experience in B2B SaaS, PLG, or subscription-based businesses preferred", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "About Customer.io Over 9,000 companies — from scrappy startups to global brands — use our platform to send billions of emails, push notifications, in-app messages, and SMS every day. Customer.io powers automated communication that people actually want to receive. We help teams send smarter, more relevant messages using real-time behavioral data. About the role Hi, my name is Michael, Head of Data and Analytics at Customer.io, and I’m looking for a Manager, Data Science & Analytics to lead and evolve Customer.io's internal data science & analytics function. This team serves as a strategic partner across Product, Marketing, Sales and Customer Experience organizations, helping the company make better decisions through forecasting, experimentation, behavioral analytics, and rigorous measurement. In this role, you'll lead a team responsible for delivering business value through the applied use of data. You'll partner closely with leaders across the company to guide decisions, define success metrics, improve customer and product experiences, and drive operational efficiencies. Success in this role requires strong leadership, analytical and technical rigor, and business acumen. We view our data team as more than a reporting function, and as a trusted advisor to the business - bringing clarity through ambiguity, uncovering opportunities, and helping Customer.io move faster and operate smarter as we scale. What we value Business impact through data: We focus on delivering value over reporting and find the right balance between technical rigor and business pragmatism. Strategic partnership: We bring ideas to the table and help our partners shape priorities, challenge assumptions, and identify opportunities — not just respond to requests. Ownership and rigor: We hold ourselves to a high standard, sweating the details and ensuring our analyses, assumptions, and recommendations are accurate, trustworthy, and actionable. Leadership and development: We believe great teams are built through coaching, challenge, and continuous growth, helping people do the best work of their careers. What you'll do Lead and develop a team of Data Scientists and Analysts supporting Product, Marketing, Sales, and Customer Experience. Lead behavioral analytics, customer segmentation, experimentation, and product measurement efforts, helping teams understand customer behavior, evaluate product performance, and prioritize roadmap investments. Develop and maintain revenue forecasts, churn models, customer health scores, and account or opportunity scoring models used across the business. Partner with our data engineering team to manage our internal agentic data analytics platform, Smarty, supporting self-serve data access and analytics. Define standards and best practices for analytics and data science, and refine operational frameworks to drive efficiency and scale across the team. What we're looking for 7+ years of experience in Data Science, Analytics, Product Analytics, or a related quantitative field, including experience leading and developing high-performing teams. Strong expertise in experimentation, forecasting, statistical analysis, and product or business analytics. Advanced SQL skills and proficiency with Python or similar analytical tools. Experience defining metrics, measurement frameworks, and analytical approaches that support product, growth, and business decision-making. Demonstrated ability to partner with senior leaders, influence strategy, and communicate complex findings clearly to technical and non-technical audiences. Comfortable balancing strategic leadership with hands-on analytical work when needed. Experience working with modern analytics platforms and data warehouses, including Snowflake, dbt, and product analytics tools. Experience in B2B SaaS, PLG, or subscription-based businesses preferred. Based in the Americas, remote-friendly. Why this role You'll have real ownership - of a team, of a data function, and of a company that's actively building toward an AI-native analytics future. This isn't a reporting shop. You'll have a seat at the table with senior stakeholders and the latitude to shape how data drives decisions at Customer.io. Compensation & Benefits We believe in transparency. Starting salary for this role is $170,000 - $200,000 USD depending on experience and subject to market rate adjustment. We know our people are what make us great, and we're committed to taking great care of them. Our inclusive benefits package supports your well-being and growth, including 100% coverage of medical, dental, vision, mental health, and supplemental insurance premiums for you and your family. We also offer 16 weeks paid parental leave, unlimited PTO, stipends for remote work and wellness, a professional development budget, and more. See full benefits here → Our Process No gotchas, no trick questions - just a clear, human process designed to help both of us make an informed decision. 30-minute video call with Recruiter 45-minute video call with Hiring Manager Three 30-minute video calls with team members Take-Home Assignment + Review call with the full panel All final candidates will be asked to complete a background check and employment verifications as part of our pre-employment process. Customer.io recognizes the stifling impact of systemic injustice on diverse communities. We commit to using our influence to increase inclusion and equity within the tech industry. We strive to build an inclusive team culture, implement bias-free hiring practices, and develop community partnerships to expand our global impact. Zoom is the only video conference platform that we use, virtual interviews will be conducted using the video capability (i.e., not via the chat), and offers will be extended in writing on official Customer.io letterhead. Please be vigilant in all of your job search activity, and if you have any questions please contact jobs@customer.io. Join us! Check out our careers page for more information about why you should come work with us! We believe in empathy, transparency, responsibility, and, yes, a little awkwardness. If you're excited by what you read — apply now.", "summaryDescription" : "Senior Manager, Data Science & Analytics at Customer.io. Skills: Data Science, Analytics, Machine Learning, Forecasting, Experimentation. Lead and develop a team of Data Scientists. Support Product, Marketing, Sales, and Customer Experience", "postedDate" : "2026-06-11T17:45:15.996", "createdAt" : "2026-06-11T17:45:15.996", "lastUpdated" : "2026-06-13T21:14:26.835", "ingestTimestamp" : "2026-06-11T17:45:15.996", "mongoId" : "6a2a69f574d8ee00a0639f54", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 175000, "salaryAnnualMax" : 250000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Statistical analysis", "Forecasting", "Product analytics", "Business analytics", "Leadership", "Data Science", "Analytics", "Machine Learning", "Experimentation", "Behavioral analytics", "Customer segmentation", "Product measurement", "Revenue forecasts", "Churn models", "Customer health scores", "Account scoring models", "Opportunity scoring models", "Self-serve data access", "Analytics platform management", "Data analytics platform", "Roadmap planning", "B2B SaaS", "PLG", "Subscription-based businesses", "Snowflake", "dbt", "Product analytics tools" ], "skillCount" : 27, "jobCategory" : "operations", "jobSubcategory" : "business-operations", "dataQualityScore" : 0.8888889, "_score" : 852.14197, "daysOld" : 2, "hasLocation" : true, "hasGeo" : false }, { "id" : "69fda4e34c40e2acd1b997b2", "title" : "Manager, Customer Service Analytics", "company" : "Audible GmbH", "industry" : "Business Intelligence, Business Intel Engineer, subsidiaries", "salary" : { "min" : 75000.0, "max" : 105000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Manager, Customer Service Analytics in Berlin, Germany, adjusted for industry and seniority." }, "location" : "Berlin, Berlin, DEU", "locations" : [ "Berlin, Berlin, DEU" ], "timestamp" : "2026-06-15T04:08:52.820", "fingerprint" : "9a3202e1bf967c0edf9f17a958f6d51c4cd714d25cb4abe30cd849c10181ff99", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10413473/apply", "externalId" : "bced5c40-bb78-4262-b8ed-bcaf55d70ba0", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Berlin", "state" : "Berlin", "country" : "Germany", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "52.5033790,13.3386522" } ], "locationText" : "Berlin, Berlin, Germany", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "technicalSkills" : "Excel, Tableau, Redshift, Oracle, NoSQL", "professionalSkills" : [ "Business acumen", "Data storytelling", "Analytical frameworks" ], "hardSkillsList" : [ "Data visualization", "KPI tracking", "Root cause analysis", "Metric definition", "Data governance" ], "softSkillsList" : [ "Curious", "Independent" ], "hardSkills" : [ { "name" : "Data visualization", "level" : "intermediate" }, { "name" : "KPI tracking", "level" : "intermediate" }, { "name" : "Root cause analysis", "level" : "intermediate" }, { "name" : "Metric definition", "level" : "intermediate" }, { "name" : "Data governance", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Curious" }, { "name" : "Independent" } ], "majorSkills" : "Business Intelligence, Data Analytics, Reporting", "majorSkillsList" : [ "Business Intelligence", "Data Analytics", "Reporting" ], "coreResponsibilities" : "Design BI solutions, Implement BI solutions, Optimize BI solutions, Track KPIs, Provide insights, Break down business metrics, Develop leading indicators, Anticipate leadership questions, Develop analyses, Develop visualizations, Automate identification of dimensions, Enable root cause analysis, Develop data visualizations, Communicate complex trends, Develop documentation, Communicate findings, Balance stakeholder requirements, Maintain focus on long-term solutions, Serve as data governance advocate, Ensure consistency in definitions, Ensure data quality, Partner with data scientists, Partner with engineers, Partner with product managers, Partner with business leaders, Align reporting with objectives", "teamCollaboration" : "Cross-functional teams; Executive audiences; Technical stakeholders; Non-technical stakeholders; Data scientists; Engineers; Product managers; Business leaders", "domainKnowledge" : "Customer Service Analytics", "domainList" : [ "customer-service-analytics" ], "domainSpecificKnowledge" : [ "Customer Service Analytics" ], "toolProficiency" : [ "Tableau" ], "communicationSkills" : "Actionable narratives; Executive reporting; Clear documentation; Concise insights", "documentationSkills" : "Clear documentation", "problemSolvingSkills" : "Problem solving; Root cause analysis", "qualificationsBasic" : "3+ years experience analyzing data, Knowledge of advanced skills in Excel, Experience working with multiple groups of stakeholders", "qualificationsPreferred" : "Familiarity with Tableau preferred, Experience handling ambiguous or undefined challenges, Experience working effectively across cross-functional teams, Experience with process improvement initiatives, Experience supporting executive reporting and business reviews, Experience working in media, entertainment, or subscription-based businesses, Understanding of data governance principles and practices", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "At Audible, we believe stories have the power to transform lives. It’s why we work with some of the world’s leading creators to produce and share audio storytelling with our millions of global listeners. We are dreamers and inventors who come from a wide range of backgrounds and experiences to empower and inspire each other. Imagine your future with us. ABOUT THIS ROLE As a Business Intelligence Engineer within the Customer Service Analytics team at Audible, you'll serve as a data-driven decision enabler for our Customer Service Leadership Team. You will be responsible for designing, implementing, and optimizing the reporting processes that deliver critical KPIs and business insights across our organization. Working with loosely defined problems, you'll transform complex data into clear, actionable narratives that anticipate leadership questions before they're asked. Your role will be pivotal in maintaining data governance standards while making insights readily accessible through efficient, self-service data solutions. ABOUT YOU You're a data storyteller who balances technical expertise with strong business acumen. You excel at working cross-functionally, translating business requirements into robust analytical frameworks. You're naturally curious, with an ability to look beyond immediate data requests to identify the underlying strategic questions. You thrive in ambiguous situations, delivering independently with minimal guidance while continuously improving data processes. Your communication skills are exceptional, allowing you to distill complex analyses into compelling insights for both technical and executive audiences. As a Business Intelligence Engineer, you will... - Design, implement, and optimize BI solutions that effectively track KPIs and provide insights for monthly business reviews and executive reporting, ensuring speed, reliability, and scalability - Break down high-level business metrics into constituent components and leading indicators that provide actionable insights for leadership - Anticipate leadership questions and proactively develop analyses and visualizations that address emerging business needs - Automate the identification of key contributing dimensions to metric variance, enabling faster root cause analysis - Develop concise, impactful data visualizations that communicate complex trends and insights effectively to executive audiences - Develop clear documentation that bridges technical implementation with business context, enabling both technical and non-technical stakeholders to understand reporting methodologies - Communicate findings and insights to stakeholders in a clear, concise, and actionable manner - Balance stakeholder requirements with technical constraints while maintaining a focus on long-term solutions - Serve as a data governance advocate, ensuring consistency in metrics definitions and data quality - Partner with data scientists, engineers, product managers, and business leaders to align reporting with strategic objectives ABOUT AUDIBLE Audible is the leading producer and provider of audio storytelling. We spark listeners’ imaginations, offering immersive, cinematic experiences full of inspiration and insight to enrich our customers daily lives. We are a global company with an entrepreneurial spirit. We are dreamers and inventors who are passionate about the positive impact Audible can make for our customers and our neighbors. This spirit courses throughout Audible, supporting a culture of creativity and inclusion built on our People Principles and our mission to build more equitable communities in the cities we call home. Basic Qualifications: - Knowledge of advanced skills in Excel as well as any data visualization tools like Tableau or similar BI tools (familiarity with Tableau preferred) - 3+ years experience analyzing and interpreting data with Redshift, Oracle, NoSQL etc. - Experience working with multiple groups of stakeholders Preferred Qualifications: - Experience handling ambiguous or undefined challenges through strong problem solving abilities - Experience working effectively across cross-functional teams and partnering well with people at all levels within an organization - Experience with process improvement initiatives that enhanced data accessibility or quality - Experience supporting executive reporting and business reviews - Experience working in media, entertainment, or subscription-based businesses - Understanding of data governance principles and practices Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( https://www.amazon.jobs/en/privacy_page ) to know more about how we collect, use and transfer the personal data of our candidates. m/w/d Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Manager, Customer Service Analytics at Audible GmbH. Skills: Business Intelligence, Data Analytics, Reporting. Design BI solutions. Implement BI solutions", "postedDate" : "2026-06-13T06:37:10.535", "createdAt" : "2026-06-13T06:37:10.535", "lastUpdated" : "2026-06-15T04:08:52.820", "ingestTimestamp" : "2026-06-13T06:37:10.535", "mongoId" : "69fda4e34c40e2acd1b997b2", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10413473/apply", "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Data visualization", "KPI tracking", "Root cause analysis", "Metric definition", "Data governance", "Curious", "Independent", "Business Intelligence", "Data Analytics", "Reporting", "Business acumen", "Data storytelling", "Analytical frameworks", "Customer Service Analytics", "Tableau" ], "skillCount" : 15, "jobCategory" : "other", "dataQualityScore" : 1.0, "_score" : 844.0938, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2c911f74d8ee00a0982093", "title" : "Account Executive (Data Analytics)", "company" : "Minitab", "industry" : "Technology", "salary" : { "min" : 560000.0, "max" : 840000.0, "currency" : "HKD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Account Executive in the Technology industry in Hong Kong, adjusted for company size and seniority." }, "location" : "Hong Kong", "locations" : [ "Hong Kong" ], "timestamp" : "2026-06-16T02:57:07.762", "fingerprint" : "056e7f21fcf2746b123ef4a0ed6581bb0d7b6d9aab414fc262ac59feab0b9fce", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/minitab/jobs/7621678003", "externalId" : "7621678003", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Hong Kong", "country" : "Hong Kong", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "22.2818333,114.1582831" } ], "locationText" : "Hong Kong, Hong Kong", "employmentType" : "FULL_TIME", "experienceMinYears" : 3, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "professionalSkills" : [ "Value-based conversations", "Territory management", "Forecasting", "CRM hygiene" ], "hardSkillsList" : [ "Consultative selling", "Negotiation", "Closing skills" ], "hardSkills" : [ { "name" : "Consultative selling", "level" : "intermediate" }, { "name" : "Negotiation", "level" : "intermediate" }, { "name" : "Closing skills", "level" : "intermediate" } ], "majorSkills" : "New business sales, Mid-market segment sales, Data analytics sales", "majorSkillsList" : [ "New business sales", "Mid-market segment sales", "Data analytics sales" ], "coreResponsibilities" : "Own and execute new business sales strategy, Identify, qualify, and close net-new customer opportunities, Proactively prospect and engage senior stakeholders, Understand business challenges, Position Minitab as strategic solution, Lead full sales cycle, Build and manage pipeline, Maintain accurate forecasting, Gather and share competitive intelligence, Represent Minitab at customer meetings, Represent Minitab at industry events, Represent Minitab at partner engagements", "teamCollaboration" : "Virtual team-selling environment; Work with internal teams", "domainKnowledge" : "Data analytics; Manufacturing operations; Digital transformation", "domainList" : [ "data-analytics", "manufacturing-operations", "digital-transformation" ], "domainSpecificKnowledge" : [ "Data analytics", "Manufacturing operations", "Digital transformation" ], "toolProficiency" : [ "CRM" ], "communicationSkills" : "Executive engagement; Technical engagement; Business engagement", "specialRequirements" : "Frequent travel up to 60%", "outcomesObjectives" : "Achieve sales targets; Drive new business growth", "qualificationsBasic" : "3+ years B2B sales experience, Track record of achieving sales targets, Experience managing mid-market accounts, Fluent Mandarin, Excellent English communication skills", "qualificationsPreferred" : "Experience in technology, analytics, or enterprise software, Exposure to business intelligence, analytics, or statistical software", "workSiteFlexibility" : "Flexible", "rawDescription" : "Today, Minitab is one of the only software companies able to standardize data collection across manufacturing operations, from the factory floor to the quality lab and then turn that operational data into insights. This isn’t about selling a tool; it’s about helping customers establish a shared data foundation with best-in-class analytics that drives consistent improvement and confident decision-making end to end. As a Minitab sales professional, you’ll work with growing manufacturers at every stage of their digital transformation maturity level. Some are just beginning their data journey and need simple, practical ways to collect and understand their data. Others are ready for more advanced capabilities like statistical process control (SPC) and process digital twins to drive true operational excellence. Our portfolio allows you to land where they are today and expand as they grow, creating long-term customer value and repeatable sales success. You’ll be backed by a globally respected brand and solutions trusted by manufacturers around the world for the last 50 years. Minitab continues to be the partner of choice because we make advanced analytics accessible, scalable, and relevant to real manufacturing challenges, not theoretical ones. If you’re a mid-market seller who wants to lead value-based conversations, build lasting customer relationships, and sell solutions that manufacturers genuinely rely on, Minitab offers a career with impact, credibility, and growth. What You’ll Be Doing Own and execute a new business sales strategy for the mid-market segment across the Chinese market Identify, qualify, and close net-new customer opportunities Proactively prospect and engage senior stakeholders within manufacturing organisations, understanding their business challenges and positioning Minitab as a strategic solution Lead the full sales cycle, including discovery, solution positioning, product demonstrations, negotiation, and closing Build and manage a strong pipeline of new logo opportunities, maintaining accurate forecasting and CRM hygiene Work closely with internal pre-sales, marketing, and services teams in a virtual team-selling environment Gather and share competitive and market intelligence to continuously sharpen positioning within the territory Represent Minitab at customer meetings, industry events, and partner engagements across the region What We’re Looking For Proven hunter mentality — proactive, self-starting, and motivated by winning new business Strong experience selling B2B software or technology solutions into the manufacturing industry Ability to work independently, manage your own territory, and prioritise effectively in a fast-paced environment Comfortable with frequent travel (up to 60%) across the region Confident engaging with executive, technical, and business stakeholders Consultative selling approach with strong negotiation and closing skills Language Requirements Fluent Mandarin (native or business-native level) Excellent English communication skills (written and verbal) Experience & Background 3+ years of successful B2B sales experience, ideally in technology, analytics, or enterprise software. Track record of consistently achieving or exceeding sales targets (100%+ of quota) Experience managing mid-market accounts and closing deals. Exposure to business intelligence, analytics, or statistical software is a plus Why Join Minitab? High-impact role with clear ownership of new business growth Opportunity to build and shape a key market for the business Collaborative, international sales environment with strong enablement and support Competitive compensation and career growth opportunities within a global organisation", "summaryDescription" : "Account Executive (Data Analytics) at Minitab. Skills: New business sales, Mid-market segment sales, Data analytics sales. Own and execute new business sales strategy. Identify, qualify, and close net-new customer opportunities", "postedDate" : "2026-06-14T20:08:22.841", "createdAt" : "2026-06-14T20:08:22.841", "lastUpdated" : "2026-06-16T02:57:07.762", "ingestTimestamp" : "2026-06-14T20:08:22.841", "mongoId" : "6a2c911f74d8ee00a0982093", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Consultative selling", "Negotiation", "Closing skills", "New business sales", "Mid-market segment sales", "Data analytics sales", "Value-based conversations", "Territory management", "Forecasting", "CRM hygiene", "Data analytics", "Manufacturing operations", "Digital transformation", "CRM" ], "skillCount" : 14, "jobCategory" : "sales", "jobSubcategory" : "revenue", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "_score" : 843.24194, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2cb13c74d8ee00a09dc970", "title" : "Senior Manager, BizOps & Analytics", "company" : "Jerry.ai", "industry" : "Data", "salary" : { "min" : 170000.0, "max" : 210000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "New York, New York", "locations" : [ "New York, New York", "San Francisco Bay Area", "Boston, Massachusetts", "Atlanta, Georgia", "Denver, Colorado", "Austin, Texas", "Miami, Florida" ], "timestamp" : "2026-06-15T05:18:48.432", "fingerprint" : "afad320a8b753aad2dc285049357114ef22af24f04f11e1623622a59aa759fe8", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/Jerry.ai/ec673979-7db1-42df-8c4a-cee67e198de8/application", "externalId" : "ec673979-7db1-42df-8c4a-cee67e198de8", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "technicalSkills" : "Excel, SQL, Python", "professionalSkills" : [ "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Operational metrics", "Resource planning", "Continuous improvement", "First principles thinking", "Data analysis", "Insight generation", "Decision making", "Problem solving" ], "hardSkillsList" : [ "Data structuring", "Data interpretation", "Analytical ability" ], "hardSkills" : [ { "name" : "Data structuring", "level" : "intermediate" }, { "name" : "Data interpretation", "level" : "intermediate" }, { "name" : "Analytical ability", "level" : "intermediate" } ], "majorSkills" : "BizOps, Analytics, Data insights, Decision making", "majorSkillsList" : [ "BizOps", "Analytics", "Data insights", "Decision making" ], "coreResponsibilities" : "Define business problems, Understand business questions, Inform business decisions, Define metrics, Build reports, Run analyses, Design experiments, Surface data insights, Bring recommendations to counterparts, Tell what is happening, Tell why it is happening, Recommend next steps", "teamCollaboration" : "Embedded in business units; Work with product; Work with growth; Work with finance; Work with operations", "domainKnowledge" : "Car ownership; Home ownership; Insurance; Maintenance; Repairs; Driving insights; Diagnostics; Repair marketplace; Physical assets", "domainList" : [ "car-ownership", "home-ownership", "insurance", "maintenance", "repairs", "driving-insights", "diagnostics", "repair-marketplace", "physical-assets" ], "domainSpecificKnowledge" : [ "Car ownership", "Home ownership", "Insurance", "Maintenance", "Repairs", "Driving insights", "Diagnostics", "Repair marketplace", "Physical assets" ], "toolProficiency" : [ "SQL", "Metabase", "Python", "Jupyter Hub", "GitHub" ], "communicationSkills" : "Direct communication; Clear writing; Precise speaking; Persuasive communication", "problemSolvingSkills" : "First principles thinker; Break ambiguous problems; Analytical problem solving", "outcomesObjectives" : "Move team metrics; Go from 5M to 50M customers; Become $10B business", "qualificationsBasic" : "6+ years consulting experience, 6+ years investment bank experience, 6+ years high-growth tech experience, Analytical ability to pull data, Analytical ability to structure data, Analytical ability to interpret data, Track record owning problems, Track record delivering impact, Clear persuasive communicator, Influence decisions at leadership level", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "Why We Exist Your car and your home are your most important assets, yet the experience of owning them is stuck in the 90s. Every part of the journey — buy/sell, insurance, maintenance, repairs — is fragmented, complicated, and expensive. Jerry.ai http://Jerry.ai is building the first app to manage it all. We started with car insurance in 2019, became one of the top 3 brokers in the U.S., then added driving insights, diagnostics, and a repair marketplace. We've reached 5M+ customers, raised $240M+, scaled revenue 70X, and became profitable in early 2024. We're now expanding into adjacent verticals (e.g. home, motorcycle, RV, etc) to become the one-stop-shop for all your physical assets. Why We’re Hiring Our BizOps & Analytics team has been a force multiplier and accelerant to our business that has helped us reach these pivotal milestones in spite of headwinds and within a highly competitive market. They are a team of former McKinsey, BCG and Bain consultants who drive data & insights, and inform decision-making across every corner of our business. They are analytical powerhouses and first principles problem solvers who push forward our most important initiatives across product, growth, tech, and operations. Every business unit has a BizOps team member embedded within it — someone who doesn't just run analyses and build dashboards, but shapes what questions we should ask, what data to pull, what conclusions to draw, what decisions to make, and then drives our teams towards our next goal: go from 5M to 50M customers and become a $10B business in the next 4 years. As our business continues to expand, there is growing demand for more BizOps team members. We are hiring 4-6 people to drive impact in these areas: - Growth Marketing - Product Development - AI & Automation - Strategic Partnerships On leveling: You may see job ads for this role at different job levels. Our priority is finding the right people, we can be flexible with job title/leveling. Why You Will (Or Won't) Like Working Here - No slides: If you've worked in consulting, you know what it feels like to be up at 3am reformatting a deck. That doesn't exist here. The only work that gets done at Jerry is work that will materially change the trajectory of our business — an important product, a new growth channel, a key metric, a critical partner relationship, etc. - No corporate fluff: The BizOps & Analytics team is 14 insatiable learners who care deeply about solving difficult problems and making a tangible impact. Every person owns a critical domain. There is no bloat, unnecessary meetings, or waiting for approvals. - Hands-on: This is not a pure strategy role, you will also own execution. Your day-to-day will be surfacing analytical insights, driving decisions, and seeing them through end-to-end. What You'll Own You'll sit on our central BizOps & Analytics team but you’ll be embedded in one of Jerry's core business areas — growth, product, AI and automation, strategic partnerships — and own the analytical function for that business unit end-to-end. - Define the right problems: Before any analysis, understand what business question it's answering and what decision it will inform. Push back if the question is flawed. - Data and insights: Define metrics, build reports, run analyses, design experiments, and surface data insights that move your team's key metrics. - Drive outcomes: Bring recommendations to your counterparts in product, growth, finance or operations, tell them what's happening and why, and what next steps should be. Who You Are - First principles thinker: You break ambiguous problems into clear hypotheses before touching data. You're analytically strong (comfortable with Excel, SQL or Python) but your instinct is to ask \"what are we trying to solve here?\" before jumping to \"what should I build?\" - Direct communicator: You can walk a skeptical stakeholder through a complex finding and get buy-in quickly. You write clearly, speak precisely, and don't bury the lede. - Owner: You act like your name is on the door. If something is broken, you feel responsible for fixing it, even if it’s outside of your swim lane. What You'll Bring - 6+ years of experience at a consulting firm, investment bank, or high-growth technology company. - Strong analytical skills; ability to pull, structure, and interpret data independently. - Track record of owning ambiguous problems and delivering impact. - Clear, persuasive communicator who can influence decisions at the leadership level. Our Tools SQL (Clickhouse), Metabase, Python, Jupyter Hub, GitHub. While we appreciate your interest and application, only applicants under consideration will be contacted. Jerry.ai is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on race, religion, color, national origin, sex, pregnancy, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, or other characteristics protected by applicable local, state or federal laws. Jerry.ai is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at recruiting@jerry.ai recruiting@getjerry.com The successful candidate’s starting pay will fall within the pay range listed on this job posting, determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation may include opportunities for equity grants. We offer a comprehensive benefits package to regular employees, including health, dental, and vision coverage, paid time off, paid parental leave, 401(K) plan with employer matching, and wellness benefits, among others. Equity opportunities may also be part of your total rewards package. Part-time, contract, or freelance roles may not be eligible for certain benefits. About Jerry.ai Jerry.ai is America’s first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets. Backed by artificial intelligence and machine learning, Jerry.ai simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We spend every day innovating and improving our AI-powered app to provide the best possible experience for our customers. From car insurance and financing to maintenance and safety, Jerry.ai does it all. We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers — and we’re just getting started. Jerry.ai was founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing. Join our team and work with passionate, curious and egoless people who love solving real-world problems. Help us build a revolutionary product that’s disrupting a massive market.", "summaryDescription" : "Senior Manager, BizOps & Analytics at Jerry.ai. Skills: BizOps, Analytics, Data insights, Decision making. Define business problems. 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Skills: Data engineering, Product analytics, Machine learning. Design data pipelines. 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