{ "count" : 130071, "data" : [ { "id" : "6a2c92ee74d8ee00a0986e47", "title" : "Senior Analytics Engineer (Databricks)", "company" : "Xebia", "industry" : "Consulting", "salary" : { "min" : 210000.0, "max" : 300000.0, "currency" : "PLN", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Senior Analytics Engineer in Poland, adjusted for seniority and technology industry." }, "location" : "Poland", "locations" : [ "Poland" ], "timestamp" : "2026-06-15T07:11:42.640", "fingerprint" : "74c1a54bac8711286d4b452f8e4d33df029bceb477f78a62a05c843ec5cc14a9", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/xebiacee/jobs/6017151004", "externalId" : "6017151004", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Poland", "continent" : "eu", "workMode" : "onsite" } ], "locationText" : "Poland", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Databricks, Snowflake, AWS, Azure, GCP, SQL, Python", "professionalSkills" : [ "Data modelling", "Business intelligence", "Analytics engineering", "Data transformation", "Semantic modelling", "Dimensional modelling" ], "hardSkillsList" : [ "Data modeling", "Data curation", "Data analysis", "Data quality", "Data usability" ], "hardSkills" : [ { "name" : "Data modeling", "level" : "intermediate" }, { "name" : "Data curation", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Data quality", "level" : "intermediate" }, { "name" : "Data usability", "level" : "intermediate" } ], "majorSkills" : "Analytics engineering, Data modelling, Databricks", "majorSkillsList" : [ "Analytics engineering", "Data modelling", "Databricks" ], "coreResponsibilities" : "Build analytical layer, Refine analytical layer, Prepare data models, Prepare curated datasets, Translate source system data, Support data quality, Support data consistency, Support data usability", "teamCollaboration" : "Data Engineering stakeholders; Architecture stakeholders; Business stakeholders", "domainKnowledge" : "CRM data; Business application data; Analytics focused data design", "domainList" : [ "crm-data", "business-application-data", "analytics-focused-data-design" ], "domainSpecificKnowledge" : [ "CRM data", "Business application data", "Analytics focused data design" ], "toolProficiency" : [ "Databricks", "Snowflake", "Azure", "AWS", "GCP", "Dbt" ], "specialRequirements" : "Work from EU region, Work permit required", "qualificationsBasic" : "Proven experience in Analytics Engineer role, SQL skills, Experience with modern cloud data platforms, Experience modelling analytical datasets, Ability to work with Data Engineers, Experience with Azure based data environments, Experience with CRM sourced data, Understanding of upstream ingestion, Familiarity with semantic modelling, Experience improving data usability", "qualificationsPreferred" : "Experience with BI tools, Basic Python knowledge, Familiarity with orchestration environments, Experience in enterprise environments, Exposure to energy business domains", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "Xebia is a global AI-first, digital transformation, and engineering partner. With over 25 years of experience and a team of 5,000 professionals across 16 countries, we help organizations design and build scalable products, platforms, and data-driven solutions. We specialize in Artificial Intelligence, Data and Cloud, Intelligent Automation, and Digital Products, combining deep technical expertise with a strong focus on engineering excellence and a people-first culture. In the CEE region, we’re a team of nearly 1,000 experts delivering modern applications, data platforms, and AI solutions for clients such as McLaren, Aviva, Deloitte, Spotify, Disney, ING, UPS, Tesco, Truecaller, AllSaints, Volotea, Schmitz Cargobull, Allegro, InPost, and many, many more. We work with leading technologies including AWS, Azure, GCP, Databricks, and Snowflake, and combine strong engineering culture with a consulting mindset and a continuous focus on growth and knowledge sharing. You will be: building and refining the analytical layer on top of the data platform supporting CRM sourced data, preparing data models and curated datasets for analytics and reporting, working closely with Data Engineering and Architecture stakeholders on data readiness and usability, translating source system data into business friendly analytical structures, supporting quality, consistency, and usability of analytics ready datasets. Your profile: proven experience in an Analytics Engineer, Analytics Developer, or highly technical BI / data modelling role, strong SQL skills, experience working with modern cloud data platforms, preferably Databricks, experience modelling analytical datasets for reporting and business consumption, ability to work closely with Data Engineers and business stakeholders, experience with Azure based data environments, experience working with CRM sourced data or other business application data, understanding of upstream ingestion and transformation processes, familiarity with semantic modelling, dimensional modelling, or analytics focused data design, experience improving data usability, consistency, and reporting readiness. Work from the European Union region and a work permit are required. Nice to have: experience with BI tools and reporting environments, basic Python knowledge for working with data, familiarity with orchestration or workflow driven data environments, experience in enterprise or regulated environments, exposure to energy, utilities, or similar business domains. Recruitment Process: CV review – HR call – Technical Interview – Client Interview – Decision", "summaryDescription" : "Senior Analytics Engineer (Databricks) at Xebia. Skills: Analytics engineering, Data modelling, Databricks. Build analytical layer. Refine analytical layer", "postedDate" : "2026-06-14T03:47:53.502", "createdAt" : "2026-06-14T03:47:53.502", "lastUpdated" : "2026-06-15T07:11:42.640", "ingestTimestamp" : "2026-06-14T03:47:53.502", "mongoId" : "6a2c92ee74d8ee00a0986e47", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Data modeling", "Data curation", "Data analysis", "Data quality", "Data usability", "Analytics engineering", "Data modelling", "Databricks", "Business intelligence", "Data transformation", "Semantic modelling", "Dimensional modelling", "CRM data", "Business application data", "Analytics focused data design", "Snowflake", "Azure", "AWS", "GCP", "Dbt" ], "skillCount" : 20, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2da0b574d8ee00a0c5e860", "title" : "Senior Associate, Big Data Engineer, Data Analytics, Advisory", "company" : "Pwc", "location" : "India", "locations" : [ "India" ], "timestamp" : "2026-06-15T12:27:37.501", "fingerprint" : "dcc0cac8319ec8d27b5d623470ad432338c70585e567c3213fb587675233f1a4", "source" : "workday", "applyUrl" : "https://pwc.wd3.myworkdayjobs.com/Global_Experienced_Careers/job/Bengaluru-Millenia/IN-Senior-Associate-Big-Data-Engineer-Data-Analytics-Advisory-Bangalore_736214WD-1", "externalId" : "736214WD", "industryFunction" : { }, "locationPoint" : "20.5937,78.9629", "structuredLocations" : [ { "city" : "Bangalore", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite" } ], "locationText" : "Bangalore, India", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor of Engineering", "experienceMinYears" : 5, "experienceMaxYears" : 8, "experienceLevel" : "Senior", "technicalSkills" : "SQL, Scala, Python, AWS, Spark, S3, Glue, EMR, Aurora Postgres, Lambda, Kinesis, kafka, Flink, Apache Iceberg, NIFI", "professionalSkills" : [ "Data, Analytics & AI" ], "hardSkillsList" : [ "Big Data", "AWS", "SQL", "Python", "Scala", "Spark", "S3", "Glue", "EMR", "Aurora Postgres", "Lambda", "Kinesis", "kafka", "Airflow", "DBT", "Flink", "Apache Iceberg", "Datadog", "NIFI" ], "softSkillsList" : [ "Accepting Feedback, Active Listening, Communication, Creativity" ], "hardSkills" : [ { "name" : "Big Data", "level" : "intermediate" }, { "name" : "AWS", "level" : "intermediate" }, { "name" : "SQL", "level" : "intermediate" }, { "name" : "Python", "level" : "intermediate" }, { "name" : "Scala", "level" : "intermediate" }, { "name" : "Spark", "level" : "intermediate" }, { "name" : "S3", "level" : "intermediate" }, { "name" : "Glue", "level" : "intermediate" }, { "name" : "EMR", "level" : "intermediate" }, { "name" : "Aurora Postgres", "level" : "intermediate" }, { "name" : "Lambda", "level" : "intermediate" }, { "name" : "Kinesis", "level" : "intermediate" }, { "name" : "kafka", "level" : "intermediate" }, { "name" : "Airflow", "level" : "intermediate" }, { "name" : "DBT", "level" : "intermediate" }, { "name" : "Flink", "level" : "intermediate" }, { "name" : "Apache Iceberg", "level" : "intermediate" }, { "name" : "Datadog", "level" : "intermediate" }, { "name" : "NIFI", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Accepting Feedback, Active Listening, Communication, Creativity" } ], "majorSkills" : "Big Data, AWS, SQL, Python, Spark", "majorSkillsList" : [ "Big Data, AWS, SQL, Python, Spark" ], "coreResponsibilities" : "Design and build data infrastructure and systems to enable efficient data processing and analysis. Develop and implement data pipelines, data integration, and data transformation solutions.", "teamCollaboration" : "Part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities.", "toolProficiency" : [ "AWS, kafka, Airflow, DBT, Flink, Apache Iceberg, Datadog, Github, Snowflake, Glue, EMR, Lambda, Kinesis, NIFI" ], "communicationSkills" : "Communication", "continuousLearning" : "Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other.", "innovationCreativity" : "Environment that drives innovation.", "problemSolvingSkills" : "Data Engineering; Data Integration; Data Pipeline", "specialRequirements" : "PwC believes in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. Strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. Zero tolerance for any discrimination and harassment.", "outcomesObjectives" : "Make a tangible impact in the real world. Help organisations uncover enterprise insights and drive business results using smarter data analytics. Help clients gain a competitive edge.", "qualificationsBasic" : "Working knowledge on big data technologies, Cloud AWS. Excellent working knowledge on SQL. Proficient with spark and any one or both programming language e.g. Scala and/or Python. Demonstrated working knowledge with kafka, Airflow, DBT, Flink, Apache Iceberg, Datadog. Experience with CI/CD framework implementation in conjunction with any popular code repository like Github.", "qualificationsPreferred" : "Experience with snowflake will be a big positive.", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "**Line of Service** Advisory **Industry/Sector** Not Applicable **Specialism** Data, Analytics & AI **Management Level** Senior Associate **Job Description & Summary** At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. _*Why PWC_ At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more _[about us](https://www.pwc.in/about-us.html)_. At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. \" **Job Description & Summary: **A career within…. A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. **Responsibilities :** Working knowledge on big data technologies , Cloud AWS Excellent working knowledge on SQL Proficient with spark and any one or both programming language e.g. Scala and/or Python Demonstrated working knowledge with kafka, Airflow, DBT, Flink, Apache Iceberg, Datadog Experience with snowflake will be a big positive Experience with CI/CD framework implementation in conjunction with any popular code repository like Github **Mandatory skill set s:** * Big Data, AWS, SQL, Python/Scala, Spark, S3, Glue, EMR, Aurora PostGres, Lambda, Kinesis, kafka, Airflow, DBT, Flink, Apache Iceberg, Datadog, Scala, Python, NIFI, SQL **Preferred skill sets :** * Snowflake **Years of experience required:** 5-8yrs **Education qualification :** B.Tech / M.Tech / M.E / MCA/B.E **Education** _(if blank, degree and/or field of study not specified)_ Degrees/Field of Study required: Bachelor of Engineering Degrees/Field of Study preferred: **Certifications** _(if blank, certifications not specified)_ **Required Skills** Big Data **Optional Skills** Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Airflow, Apache Hadoop, Azure Data Factory, Communication, Creativity, Data Anonymization, Data Architecture Development, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Databricks Unified Data Analytics Platform, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling, Data Pipeline {+ 27 more} **Desired Languages** _(If blank, desired languages not specified)_ **Travel Requirements** **Available for Work Visa Sponsorship?** **Government Clearance Required?** **Job Posting End Date** June 26, 2026", "summaryDescription" : "Senior Associate, Big Data Engineer, Data Analytics, Advisory at Pwc. Skills: Big Data, AWS, SQL, Python, Spark. Design and build data infrastructure and systems to enable efficient data processing and analysis. Develop and implement data pipelines, data integration, and data transformation solutions.", "postedDate" : "2026-06-13T18:55:25.522", "createdAt" : "2026-06-14T18:55:25.515", "lastUpdated" : "2026-06-15T12:27:37.501", "ingestTimestamp" : "2026-06-14T18:55:25.515", "mongoId" : "6a2da0b574d8ee00a0c5e860", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://pwc.wd3.myworkdayjobs.com/Global_Experienced_Careers/job/Bengaluru-Millenia/IN-Senior-Associate-Big-Data-Engineer-Data-Analytics-Advisory-Bangalore_736214WD-1", "hasSalary" : false, "allSkills" : [ "Big Data", "AWS", "SQL", "Python", "Scala", "Spark", "S3", "Glue", "EMR", "Aurora Postgres", "Lambda", "Kinesis", "kafka", "Airflow", "DBT", "Flink", "Apache Iceberg", "Datadog", "NIFI", "Accepting Feedback, Active Listening, Communication, Creativity", "Big Data, AWS, SQL, Python, Spark", "Data, Analytics & AI", "AWS, kafka, Airflow, DBT, Flink, Apache Iceberg, Datadog, Github, Snowflake, Glue, EMR, Lambda, Kinesis, NIFI" ], "skillCount" : 23, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "senior", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustryConfidence" : 0.95 }, { "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, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c92ed74d8ee00a0986e17", "title" : "Data Engineer (Databricks)", "company" : "Xebia", "industry" : "Consulting", "salary" : { "min" : 160000.0, "max" : 240000.0, "currency" : "PLN", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Data Engineer in Poland, adjusted for the technology industry and hybrid work model." }, "location" : "Poland", "locations" : [ "Poland" ], "timestamp" : "2026-06-15T08:32:08.565", "fingerprint" : "f2de37bf3092cf5338660c166c5a52d703e98251e615a8607c9adccf6b497f23", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/xebiacee/jobs/5996776004", "externalId" : "5996776004", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Poland", "continent" : "eu", "workMode" : "hybrid" } ], "locationText" : "Poland", "experienceMinYears" : 2, "experienceMaxYears" : 4, "experienceLevel" : "Mid", "technicalSkills" : "Databricks, PySpark, Python, Apache Airflow, SQL, JSON, AWS, GCP", "professionalSkills" : [ "Data Engineering", "Software Engineering", "Operational Engineering" ], "hardSkillsList" : [ "Data pipeline development", "Automation scripting", "DAG development", "Complex joins", "Window functions", "File transfers", "Data validation", "Database migrations" ], "hardSkills" : [ { "name" : "Data pipeline development", "level" : "intermediate" }, { "name" : "Automation scripting", "level" : "intermediate" }, { "name" : "DAG development", "level" : "intermediate" }, { "name" : "Complex joins", "level" : "intermediate" }, { "name" : "Window functions", "level" : "intermediate" }, { "name" : "File transfers", "level" : "intermediate" }, { "name" : "Data validation", "level" : "intermediate" }, { "name" : "Database migrations", "level" : "intermediate" } ], "majorSkills" : "Data Engineering, Databricks, PySpark, Python", "majorSkillsList" : [ "Data Engineering", "Databricks", "PySpark", "Python" ], "coreResponsibilities" : "Design end-to-end data pipelines, Build data pipelines, Maintain data pipelines, Operate Apache Airflow DAGs, Troubleshoot Apache Airflow DAGs, Manage push-based delivery workflows, Investigate production incidents, Resolve production incidents, Implement automation, Implement AI-driven agents, Support custom delivery requests, Develop data quality tooling, Develop data validation tooling, Write database migrations, Maintain database migrations, Document operational processes, Document runbooks, Document delivery workflows", "teamCollaboration" : "Collaborate with product teams; Collaborate with engineering teams; Collaborate with measurement science teams; Collaborate with client-facing teams", "domainKnowledge" : "Data pipelines; Distributed systems; Cloud storage; Data delivery; Data validation; Database migrations", "domainList" : [ "data-pipelines", "distributed-systems", "cloud-storage", "data-delivery", "data-validation", "database-migrations" ], "domainSpecificKnowledge" : [ "Data pipelines", "Distributed systems", "Cloud storage", "Data delivery", "Data validation", "Database migrations" ], "toolProficiency" : [ "Databricks", "PySpark", "Apache Airflow", "AWS", "GCP" ], "communicationSkills" : "Documenting processes", "documentationSkills" : "Documenting processes; Writing runbooks", "innovationCreativity" : "AI-driven agents", "problemSolvingSkills" : "Troubleshooting; Investigating incidents; Resolving incidents", "specialRequirements" : "Work from EU region, Work permit required, Hybrid setup", "qualificationsBasic" : "2–4+ years of professional experience, Databricks and PySpark experience, Python proficiency, Apache Airflow experience, Very good SQL knowledge, Cloud platforms experience, Upper-intermediate English", "qualificationsPreferred" : "Unity Catalog experience, Database migrations experience, Schema/version management experience, Frequent production support experience, Delivery deadlines comfort, Agentic or AI-driven automation workflows experience", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Xebia is a global AI-first, digital transformation, and engineering partner. With over 25 years of experience and a team of 5,000 professionals across 16 countries, we help organizations design and build scalable products, platforms, and data-driven solutions. We specialize in Artificial Intelligence, Data and Cloud, Intelligent Automation, and Digital Products, combining deep technical expertise with a strong focus on engineering excellence and a people-first culture. In the CEE region, we’re a team of nearly 1,000 experts delivering modern applications, data platforms, and AI solutions for clients such as McLaren, Aviva, Deloitte, Spotify, Disney, ING, UPS, Tesco, Truecaller, AllSaints, Volotea, Schmitz Cargobull, Allegro, InPost, and many, many more. We work with leading technologies including AWS, Azure, GCP, Databricks, and Snowflake, and combine strong engineering culture with a consulting mindset and a continuous focus on growth and knowledge sharing. You will be: designing, building, and maintaining end-to-end data pipelines for client-facing measurement reports and licensed datasets, operating and troubleshooting Apache Airflow DAGs supporting scheduled and on-demand data deliveries, managing push-based delivery workflows (cloud storage, file transfers, delivery verification) Investigating and resolving production incidents across distributed systems (Airflow, databases, cloud storage), implementing automation and AI-driven agents to streamline operational processes and data validation, supporting custom delivery requests, including matching files, cross-reference datasets, and bespoke client configurations, developing data quality and validation tooling to ensure accuracy before client delivery, writing and maintaining database migrations for delivery configurations and client setups, collaborating with product, engineering, measurement science, and client-facing teams, documenting operational processes, runbooks, and delivery workflows. Your profile: 2–4+ years of professional experience in Data Engineering, Software Engineering, or Operational Engineering, experience with Databricks and PySpark for large-scale data processing, strong proficiency in Python, including building and debugging data pipelines and automation scripts, hands-on experience with Apache Airflow (DAG development, operators, troubleshooting), very good knowledge of SQL, including complex joins, window functions, and JSON-based data, experience working with cloud platforms (AWS and/or GCP), upper-intermediate English, readiness to work in a hybrid setup (in the Warsaw office once per week). Work from the European Union region and a work permit are required. Nice to have: experience with Unity Catalog, experience with database migrations and schema/version management, comfort working in environments with frequent production support and delivery deadlines, experience building agentic or AI-driven automation workflows. Recruitment Process: CV review – HR call – Interview – Client Interview – Decision", "summaryDescription" : "Data Engineer (Databricks) at Xebia. Skills: Data Engineering, Databricks, PySpark, Python. Design end-to-end data pipelines. Build data pipelines", "postedDate" : "2026-06-14T03:28:45.878", "createdAt" : "2026-06-14T03:28:45.878", "lastUpdated" : "2026-06-15T08:32:08.565", "ingestTimestamp" : "2026-06-14T03:28:45.878", "mongoId" : "6a2c92ed74d8ee00a0986e17", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "150k-200k", "hasSalary" : false, "allSkills" : [ "Data pipeline development", "Automation scripting", "DAG development", "Complex joins", "Window functions", "File transfers", "Data validation", "Database migrations", "Data Engineering", "Databricks", "PySpark", "Python", "Software Engineering", "Operational Engineering", "Data pipelines", "Distributed systems", "Cloud storage", "Data delivery", "Apache Airflow", "AWS", "GCP" ], "skillCount" : 21, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305107f292fd229cef8636", "title" : "Senior Consultant - Data & Analytics", "company" : "Highspring", "industry" : "Consulting", "salary" : { "min" : 76194.0, "max" : 122981.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "McLean, VA", "locations" : [ "McLean", "VA" ], "timestamp" : "2026-06-16T08:45:12.907", "fingerprint" : "48c6a72cd2c3f1a1df0dd91bf98ef6f2d6f263ec75503e10784e231524514c6b", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.highspring.com/about/careers/job-details?gh_jid=8003443", "externalId" : "8003443", "industryFunction" : { }, "structuredLocations" : [ { "city" : "McLean", "state" : "Virginia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "38.9366852,-77.1858430" } ], "locationText" : "McLean, Virginia, United States", "minimumEducation" : "Bachelor's", "experienceMinYears" : 2, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, Python, Snowflake, Databricks, Redshift, Power BI, Tableau, Sigma, Codex, Claude Code, Cursor", "professionalSkills" : [ "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" ], "hardSkillsList" : [ "Data warehousing", "Data analysis", "Pipeline development", "Dashboard creation", "Report generation", "Code generation", "Code testing", "Code iteration" ], "hardSkills" : [ { "name" : "Data warehousing", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Pipeline development", "level" : "intermediate" }, { "name" : "Dashboard creation", "level" : "intermediate" }, { "name" : "Report generation", "level" : "intermediate" }, { "name" : "Code generation", "level" : "intermediate" }, { "name" : "Code testing", "level" : "intermediate" }, { "name" : "Code iteration", "level" : "intermediate" } ], "majorSkills" : "Data Warehousing, Data Pipelines, Analytics Solutions, Cloud Platforms", "majorSkillsList" : [ "Data Warehousing", "Data Pipelines", "Analytics Solutions", "Cloud Platforms" ], "coreResponsibilities" : "Design modern data warehouses, Build modern data warehouses, Develop scalable data pipelines, Develop reliable data pipelines, Implement analytics solutions, Implement reporting solutions, Implement visualization solutions, Translate complex data into actionable insights, Partner with client teams, Understand business objectives, Understand data challenges, Understand success metrics, Manage discrete project workstreams, Balance technical execution, Balance client communication, Balance delivery timelines, Present findings, Present recommendations, Present solution designs, Leverage AI-assisted development environments, Design analytics code, Generate analytics code, Test analytics code, Iterate analytics code, Design data engineering code, Generate data engineering code, Test data engineering code, Iterate data engineering code, Support data transformation initiatives, Support system implementations, Support migrations, Support modernization efforts, Participate in knowledge sharing, Participate in mentoring, Participate in career development", "teamCollaboration" : "Client teams; 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 management", "Prioritize tasks", "Delivery timelines", "Data transformation", "Data models", "Cloud-native environments", "Data architectures", "Analytics solutions", "Data engineering best practices", "Analytics best practices", "Version control", "Collaborative development", "Iterative delivery", "Enterprise data transformation", "Snowflake", "Databricks", "Redshift", "Power BI", "Tableau", "Sigma", "Codex", "Claude Code", "Cursor" ], "skillCount" : 52, "jobCategory" : "general", "jobSubcategory" : "general", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Consulting", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2da0b774d8ee00a0c5e94d", "title" : "Director, Agentic + GenAI, Data & Analytics, Advisory", "company" : "Pwc", "location" : "India", "locations" : [ "India" ], "certifications" : [ ], "timestamp" : "2026-06-15T06:56:35.892", "fingerprint" : "e3630741dfc66a4ec5fa78e15a5384b9b125db320e1b43a2cf539b3edc1b24b2", "source" : "workday", "applyUrl" : "https://pwc.wd3.myworkdayjobs.com/Global_Experienced_Careers/job/Mumbai-Goregaon/IN--Director--Agentic---GenAI--Data---Analytics--Advisory--Mumbai_736299WD-1", "externalId" : "736299WD", "industryFunction" : { }, "locationPoint" : "20.5937,78.9629", "structuredLocations" : [ { "country" : "India", "continent" : "as", "workMode" : "onsite" } ], "locationText" : "India", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor", "experienceMinYears" : 14, "experienceMaxYears" : 17, "experienceLevel" : "Director", "technicalSkills" : "Python, LLM, multimodal models, feature engineering, embedding optimization, dimensionality reduction, RAG systems, vector databases, semantic search, Knowledge graph, quantization, knowledge distillation", "professionalSkills" : [ "Experience in financial services domain will be a plus. Experience in solving use cases in Asset management, Wealth management or investment banking using AI/ML. Experience in industries such as finance, consulting." ], "hardSkillsList" : [ "Agentic AI", "GenAI", "Python", "LLM frameworks", "prompt engineering", "ML development lifecycle", "fine-tuning", "evaluation", "feature engineering", "embedding optimization", "dimensionality reduction", "A/B testing", "experimental design", "statistical hypothesis testing", "RAG systems", "vector databases", "semantic search implementation", "Knowledge graph", "LLM optimization techniques", "quantization", "knowledge distillation", "MLOps practices", "AutoGPT", "LangChain", "ReAct", "DSPy" ], "softSkillsList" : [ "Accepting Feedback, Active Listening, Coaching and Feedback, Communication, Creativity" ], "hardSkills" : [ { "name" : "Agentic AI", "level" : "intermediate" }, { "name" : "GenAI", "level" : "intermediate" }, { "name" : "Python", "level" : "intermediate" }, { "name" : "LLM frameworks", "level" : "intermediate" }, { "name" : "prompt engineering", "level" : "intermediate" }, { "name" : "ML development lifecycle", "level" : "intermediate" }, { "name" : "fine-tuning", "level" : "intermediate" }, { "name" : "evaluation", "level" : "intermediate" }, { "name" : "feature engineering", "level" : "intermediate" }, { "name" : "embedding optimization", "level" : "intermediate" }, { "name" : "dimensionality reduction", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "experimental design", "level" : "intermediate" }, { "name" : "statistical hypothesis testing", "level" : "intermediate" }, { "name" : "RAG systems", "level" : "intermediate" }, { "name" : "vector databases", "level" : "intermediate" }, { "name" : "semantic search implementation", "level" : "intermediate" }, { "name" : "Knowledge graph", "level" : "intermediate" }, { "name" : "LLM optimization techniques", "level" : "intermediate" }, { "name" : "quantization", "level" : "intermediate" }, { "name" : "knowledge distillation", "level" : "intermediate" }, { "name" : "MLOps practices", "level" : "intermediate" }, { "name" : "AutoGPT", "level" : "intermediate" }, { "name" : "LangChain", "level" : "intermediate" }, { "name" : "ReAct", "level" : "intermediate" }, { "name" : "DSPy", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Accepting Feedback, Active Listening, Coaching and Feedback, Communication, Creativity" } ], "majorSkills" : "Agentic AI, GenAI, LLM, Python, Data & Analytics", "majorSkillsList" : [ "Agentic AI, GenAI, LLM, Python, Data & Analytics" ], "coreResponsibilities" : "Define and execute the long-term roadmap for Agentic AI and GenAI initiatives. Identify and prioritize opportunities where autonomous agents and generative AI can drive business value. Collaborate with executive leadership to align AI strategy with overall business goals. Lead architecture and hands-on development of intelligent agent frameworks. Oversee the application of LLMs, multimodal models, and fine-tuning strategies for domain-specific use cases. Evaluate and integrate emerging GenAI/Agentic technologies. Build, mentor, and scale a world-class team of AI researchers, ML engineers, and product managers. Foster a interdisciplinary culture of innovation and experimentation. Collaborate cross-functionally with data engineering, product, legal, and design teams. Oversee data pipelines, model training, inference infrastructure, and model governance. Establish benchmarks and evaluation protocols for agent behavior, safety, and performance. Ensure ethical and responsible AI development practices are followed.", "teamCollaboration" : "Foster a interdisciplinary culture of innovation and experimentation. Collaborate cross-functionally with data engineering, product, legal, and design teams.", "toolProficiency" : [ "AutoGPT, LangChain, ReAct, DSPy, Hugging Face, Transformers, Alteryx (Automation Platform)" ], "communicationSkills" : "Communication", "continuousLearning" : "Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other.", "innovationCreativity" : "Foster a interdisciplinary culture of innovation and experimentation.", "problemSolvingSkills" : "Algorithm Development; Complex Data Analysis; Data Analysis; Data Modeling; Analytic Research", "specialRequirements" : "We believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations.", "outcomesObjectives" : "Help organizations uncover enterprise insights and drive business results using smarter data analytics. Drive innovation, growth, and change within their organizations in order to keep up with the changing nature of customers and technology. Make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge.", "qualificationsBasic" : "Advanced proficiency in Python. Extensive experience with LLM frameworks (Hugging Face, Transformers, LangChain) and prompt engineering techniques. Deep understanding of ML and LLM development lifecycle, including fine-tuning and evaluation. Expertise in feature engineering, embedding optimization, and dimensionality reduction. Advanced knowledge of A/B testing, experimental design, and statistical hypothesis testing. Experience with RAG systems, vector databases, semantic search implementation and Knowledge graph. Proficiency in LLM optimization techniques including quantization and knowledge distillation. Understanding of MLOps practices for model deployment and monitoring.", "qualificationsPreferred" : "Experience in financial services domain will be a plus. Experience in solving use cases in Asset management, Wealth management or investment banking using AI/ML. Track record of publishing or contributing to open-source AI frameworks. Understanding of regulatory, ethical, and societal implications of autonomous AI systems.", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "**Line of Service** Advisory **Industry/Sector** Not Applicable **Specialism** Data, Analytics & AI **Management Level** Director **Job Description & Summary** At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems. _* Why PWC_ At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more _[about us](https://www.pwc.in/about-us.html)_ . At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. \" **Job Description & Summary: **A career within Data and Analytics services will provide you with the opportunity to help organizations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organizational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organizations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. **Responsibilities:** **Strategic Leadership** * Define and execute the long-term roadmap for Agentic AI and GenAI initiatives. * Identify and prioritize opportunities where autonomous agents and generative AI can drive business value. * Collaborate with executive leadership to align AI strategy with overall business goals. **Must have Technology & Research Oversight** * Lead architecture and hands-on development of intelligent agent frameworks (e.g., goal-driven, tool-using agents). * Oversee the application of LLMs, multimodal models, and fine-tuning strategies for domain-specific use cases. * Evaluate and integrate emerging GenAI/Agentic technologies (e.g., AutoGPT, LangChain, ReAct, DSPy, etc.). • Advanced proficiency in Python. • Extensive experience with LLM frameworks (Hugging Face, Transformers, LangChain) and prompt engineering techniques. Must have: • Deep understanding of ML and LLM development lifecycle, including fine-tuning and evaluation • Expertise in feature engineering, embedding optimization, and dimensionality reduction • Advanced knowledge of A/B testing, experimental design, and statistical hypothesis testing • Experience with RAG systems, vector databases, semantic search implementation and Knowledge graph. • Proficiency in LLM optimization techniques including quantization and knowledge distillation • Understanding of MLOps practices for model deployment and monitoring **T eam Management & Collaboration** * Build, mentor, and scale a world-class team of AI researchers, ML engineers, and product managers. * Foster a strong interdisciplinary culture of innovation and experimentation. * Collaborate cross-functionally with data engineering, product, legal, and design teams. **Operational Excellence** * Oversee data pipelines, model training, inference infrastructure, and model governance. * Establish benchmarks and evaluation protocols for agent behavior, safety, and performance. * Ensure ethical and responsible AI development practices are followed. **Good to have Domain/functional knowledge ** * Experience in financial services domain will be a plus. * Experience in solving use cases in Asset management, Wealth management or investment banking using AI/ML. **Mandatory skill sets:** GenAI/Agentic technologies (e.g., AutoGPT, LangChain, ReAct, DSPy, etc.). **Preferred skill sets:** * Lang Experience in industries such as finance, consulting * Track record of publishing or contributing to open-source AI frameworks. * Understanding of regulatory, ethical, and societal implications of autonomous AI system **Years of experience required:** 14-17 **Education qualification:** B.Tech / M.Tech / MBA / MCA **Education** _(if blank, degree and/or field of study not specified)_ Degrees/Field of Study required: MBA (Master of Business Administration), Bachelor of Engineering, Master of Engineering Degrees/Field of Study preferred: **Certifications** _(if blank, certifications not specified)_ **Required Skills** Agilent Technologies GeneSpring GX **Optional Skills** Accepting Feedback, Accepting Feedback, Active Listening, Algorithm Development, Alteryx (Automation Platform), Analytical Thinking, Analytic Research, Big Data, Business Data Analytics, Coaching and Feedback, Communication, Complex Data Analysis, Conducting Research, Creativity, Customer Analysis, Customer Needs Analysis, Dashboard Creation, Data Analysis, Data Analysis Software, Data Collection, Data-Driven Insights, Data Integration, Data Integrity, Data Mining, Data Modeling {+ 50 more} **Desired Languages** _(If blank, desired languages not specified)_ **Travel Requirements** **Available for Work Visa Sponsorship?** **Government Clearance Required?** **Job Posting End Date** June 26, 2026", "summaryDescription" : "Director, Agentic + GenAI, Data & Analytics, Advisory at Pwc. Skills: Agentic AI, GenAI, LLM, Python, Data & Analytics. Define and execute the long-term roadmap for Agentic AI and GenAI initiatives. Identify and prioritize opportunities where autonomous agents and generative AI can drive business value. Collaborate with executive leadership to align AI strategy with overall business goals. Lead architecture and hands-on development of intelligent agent frameworks. Oversee the application of LLMs", "postedDate" : "2026-06-13T20:57:02.451", "createdAt" : "2026-06-14T20:57:02.442", "lastUpdated" : "2026-06-15T06:56:35.892", "ingestTimestamp" : "2026-06-14T20:57:02.442", "mongoId" : "6a2da0b774d8ee00a0c5e94d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://pwc.wd3.myworkdayjobs.com/Global_Experienced_Careers/job/Mumbai-Goregaon/IN--Director--Agentic---GenAI--Data---Analytics--Advisory--Mumbai_736299WD-1", "hasSalary" : false, "allSkills" : [ "Agentic AI", "GenAI", "Python", "LLM frameworks", "prompt engineering", "ML development lifecycle", "fine-tuning", "evaluation", "feature engineering", "embedding optimization", "dimensionality reduction", "A/B testing", "experimental design", "statistical hypothesis testing", "RAG systems", "vector databases", "semantic search implementation", "Knowledge graph", "LLM optimization techniques", "quantization", "knowledge distillation", "MLOps practices", "AutoGPT", "LangChain", "ReAct", "DSPy", "Accepting Feedback, Active Listening, Coaching and Feedback, Communication, Creativity", "Agentic AI, GenAI, LLM, Python, Data & Analytics", "Experience in financial services domain will be a plus. Experience in solving use cases in Asset management, Wealth management or investment banking using AI/ML. Experience in industries such as finance, consulting.", "AutoGPT, LangChain, ReAct, DSPy, Hugging Face, Transformers, Alteryx (Automation Platform)" ], "skillCount" : 30, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "executive", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c92ed74d8ee00a0986e18", "title" : "Data Engineer with Databricks", "company" : "Xebia", "industry" : "Consulting", "salary" : { "min" : 200000.0, "max" : 300000.0, "currency" : "PLN", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Senior Data Engineer with Databricks in Poland, adjusted for the technology industry and company size." }, "location" : "Poland", "locations" : [ "Poland" ], "certifications" : [ "Databricks certification" ], "timestamp" : "2026-06-16T04:22:07.120", "fingerprint" : "cf05077c996b927edb4318cee3e1ff382566b7672fd27250236455dbae7c591b", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/xebiacee/jobs/6011045004", "externalId" : "6011045004", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Poland", "continent" : "eu", "workMode" : "onsite" } ], "locationText" : "Poland", "technicalSkills" : "Python, Databricks, PySpark, AWS, Azure, GCP, Snowflake, Azure Key Vault, Azure Logic Apps, Azure Service Bus, Azure DevOps, Unity Catalog", "professionalSkills" : [ "System design", "Data modeling", "ETL design", "ELT design", "Orchestration", "Deployment automation", "Troubleshooting", "Continuous improvement" ], "hardSkillsList" : [ "Batch processing", "Real-time processing", "Data integration", "Data warehousing", "Data orchestration", "Model deployment", "Secrets management", "Process automation", "Data governance", "Event-driven workflows", "CI/CD", "Testing", "Monitoring" ], "softSkillsList" : [ "Leadership", "Mentoring", "Critical thinking" ], "hardSkills" : [ { "name" : "Batch processing", "level" : "intermediate" }, { "name" : "Real-time processing", "level" : "intermediate" }, { "name" : "Data integration", "level" : "intermediate" }, { "name" : "Data warehousing", "level" : "intermediate" }, { "name" : "Data orchestration", "level" : "intermediate" }, { "name" : "Model deployment", "level" : "intermediate" }, { "name" : "Secrets management", "level" : "intermediate" }, { "name" : "Process automation", "level" : "intermediate" }, { "name" : "Data governance", "level" : "intermediate" }, { "name" : "Event-driven workflows", "level" : "intermediate" }, { "name" : "CI/CD", "level" : "intermediate" }, { "name" : "Testing", "level" : "intermediate" }, { "name" : "Monitoring", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" }, { "name" : "Critical thinking" } ], "majorSkills" : "Data Engineering, Databricks, PySpark, Azure", "majorSkillsList" : [ "Data Engineering", "Databricks", "PySpark", "Azure" ], "coreResponsibilities" : "Build data pipelines, Maintain data pipelines, Optimize data pipelines, Integrate data sources, Maintain analytical database, Enhance analytical database, Support analytical database, Collaborate with stakeholders, Deliver data products, Identify technical debt, Improve platform reliability, Improve platform maintainability, Improve platform performance, Build Databricks Workflows, Manage Databricks Workflows, Develop PyFunc models, Deploy PyFunc models, Maintain PyFunc models, Implement secure secrets management, Implement configuration management, Automate data flows, Automate business processes, Design ETL pipelines, Develop ETL pipelines, Optimize ETL pipelines, Design ELT pipelines, Develop ELT pipelines, Optimize ELT pipelines, Govern data assets, Manage data assets, Implement messaging workflows, Implement event-driven workflows, Collaborate with architects, Collaborate with analysts, Collaborate with data scientists, Collaborate with engineering teams, Deliver end-to-end data solutions, Contribute to CI/CD processes, Contribute to deployment automation, Ensure high quality, Take ownership of technical areas, Support architectural decisions, Mentor team members", "teamCollaboration" : "Cross-functional teams; Architects; Analysts; Data scientists; Engineering teams; Business stakeholders", "projectManagementSkills" : [ "Agile delivery", "Engineering best practices" ], "domainKnowledge" : "Data engineering best practices; Modern data platform architectures; Medallion Architecture; Data Lakehouse principles; Event-driven architectures; Distributed data processing; GenAI; AI-augmented development", "domainList" : [ "data-engineering-best-practices", "modern-data-platform-architectures", "medallion-architecture", "data-lakehouse-principles", "event-driven-architectures", "distributed-data-processing", "genai", "ai-augmented-development" ], "domainSpecificKnowledge" : [ "Data engineering best practices", "Modern data platform architectures", "Medallion Architecture", "Data Lakehouse principles", "Event-driven architectures", "Distributed data processing", "GenAI", "AI-augmented development" ], "toolProficiency" : [ "Databricks", "Azure DevOps", "Azure Key Vault", "Azure Logic Apps", "Azure Service Bus", "Unity Catalog", "GitHub Copilot", "Claude Code", "Cursor" ], "communicationSkills" : "Technical communication; Business communication", "continuousLearning" : "Continuous professional development; Knowledge sharing", "innovationCreativity" : "Explore new technologies; Experiment with AI", "problemSolvingSkills" : "Problem-solving; Identify issues; Identify opportunities; Identify improvement areas", "specialRequirements" : "Work permit required", "qualificationsBasic" : "3+ years commercial experience, Senior engineering experience, Hands-on Python knowledge, Databricks experience, PySpark experience, Modern data analytics platforms experience, Azure cloud environments experience, Modular system components design, Data engineering best practices understanding, Medallion Architecture familiarity, Business requirements translation, Problem-solving skills, Organizational skills, Azure DevOps experience, CI/CD practices experience, Agile delivery environments experience, Work from EU region, Work permit required", "qualificationsPreferred" : "Databricks certification, Infrastructure as Code experience, MLOps practices experience, Kubernetes experience, Requirements engineering experience, Business analysis awareness, Event-driven architectures familiarity, Distributed data processing systems familiarity, GenAI structured application experience, Emerging AI-driven practices interest", "remoteFriendly" : true, "rawDescription" : "Xebia is a global AI-first, digital transformation, and engineering partner. With over 25 years of experience and a team of 5,000 professionals across 16 countries, we help organizations design and build scalable products, platforms, and data-driven solutions. We specialize in Artificial Intelligence, Data and Cloud, Intelligent Automation, and Digital Products, combining deep technical expertise with a strong focus on engineering excellence and a people-first culture. In the CEE region, we’re a team of nearly 1,000 experts delivering modern applications, data platforms, and AI solutions for clients such as McLaren, Aviva, Deloitte, Spotify, Disney, ING, UPS, Tesco, Truecaller, AllSaints, Volotea, Schmitz Cargobull, Allegro, InPost, and many, many more. We work with leading technologies including AWS, Azure, GCP, Databricks, and Snowflake, and combine strong engineering culture with a consulting mindset and a continuous focus on growth and knowledge sharing. You will be: build, maintain, and optimize data pipelines using Python, Databricks, and PySpark for batch and real-time processing, integrate data from multiple internal and external sources into the organization’s analytical platform, maintain, enhance, and support the analytical database and the surrounding data ecosystem, collaborate with business stakeholders and cross-functional teams to deliver data products that meet business needs and timelines, identify technical debt and continuously improve platform reliability, maintainability, and performance, build and manage Databricks Workflows for large-scale data orchestration, develop, deploy, and maintain PyFunc models within production environments, implement secure secrets and configuration management using Azure Key Vault, automate data flows and business processes using Azure Logic Apps, design, develop, and optimize ETL and ELT pipelines following data engineering best practices, govern and manage data assets using Unity Catalog and Data Lakehouse principles, implement messaging and event-driven workflows using Azure Service Bus, collaborate closely with architects, analysts, data scientists, and engineering teams to deliver end-to-end data solutions, contribute to CI/CD processes and deployment automation using Azure DevOps, ensure high quality through testing, monitoring, troubleshooting, and continuous improvement activities, depending on seniority, take ownership of technical areas, support architectural decisions, and mentor less experienced team members, Your profile: minimum 3 years of commercial experience in software engineering, data engineering, or related fields, experience working in senior engineering, technical leadership, or highly autonomous delivery roles, strong hands-on knowledge of Python as the primary development language, strong experience with Databricks and PySpark in production environments, proven experience building and supporting modern data analytics platforms, practical experience working within Azure cloud environments or similar cloud ecosystems, experience designing modular, reusable, scalable, and maintainable system components, strong understanding of data engineering best practices and modern data platform architectures, familiarity with Medallion Architecture or equivalent data modeling and design patterns, ability to gather, clarify, and translate business requirements into technical solutions, strong problem-solving, communication, and organizational skills, proactive approach to identifying issues, opportunities, and improvement areas, experience working with Azure DevOps and CI/CD practices, excellent communication skills and ability to collaborate with technical and business stakeholders, experience working within Agile delivery environments and engineering best practices, quick learner with a strong interest in new technologies and continuous professional development, Practical experience using AI-powered assistants (e. g. Claude Code, GitHub Copilot, Cursor) to improve productivity, quality, or decision-making in software delivery. Work from the European Union region and a work permit are required. Nice to have: Databricks certification, experience with Infrastructure as Code technologies such as Terraform or ARM templates, experience with MLOps practices and automation of machine learning and data pipelines, experience working with Kubernetes or other container orchestration platforms, requirements engineering experience and business analysis awareness, familiarity with event-driven architectures and distributed data processing systems, Experience applying GenAI in a more structured way within the SDLC, including defined workflows, prompt patterns, or tool integrations embedded into daily work. Interest in and familiarity with emerging AI-driven practices (e. g. agent-based workflows, automation patterns, AI-augmented development), with a willingness to explore and experiment beyond standard approaches. Recruitment Process: CV review – HR call – Interview – Client Interview – Decision", "summaryDescription" : "Data Engineer with Databricks at Xebia. Skills: Data Engineering, Databricks, PySpark, Azure. Build data pipelines. Maintain data pipelines", "postedDate" : "2026-06-14T19:12:25.152", "createdAt" : "2026-06-14T19:12:25.152", "lastUpdated" : "2026-06-16T04:22:07.120", "ingestTimestamp" : "2026-06-14T19:12:25.152", "mongoId" : "6a2c92ed74d8ee00a0986e18", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Batch processing", "Real-time processing", "Data integration", "Data warehousing", "Data orchestration", "Model deployment", "Secrets management", "Process automation", "Data governance", "Event-driven workflows", "CI/CD", "Testing", "Monitoring", "Leadership", "Mentoring", "Critical thinking", "Data Engineering", "Databricks", "PySpark", "Azure", "System design", "Data modeling", "ETL design", "ELT design", "Orchestration", "Deployment automation", "Troubleshooting", "Continuous improvement", "Agile delivery", "Engineering best practices", "Data engineering best practices", "Modern data platform architectures", "Medallion Architecture", "Data Lakehouse principles", "Event-driven architectures", "Distributed data processing", "GenAI", "AI-augmented development", "Databricks certification", "Azure DevOps", "Azure Key Vault", "Azure Logic Apps", "Azure Service Bus", "Unity Catalog", "GitHub Copilot", "Claude Code", "Cursor" ], "skillCount" : 47, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.7777778, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a3079d6f292fd229c0357e2", "title" : "Senior Associate, Transaction Advisory Services", "company" : "Aprio", "industry" : "Finance Advisory", "salary" : { "min" : 95000.0, "max" : 135000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Transaction Advisory Services in Atlanta, adjusted for a Senior Associate role at a mid-sized firm in the Financial Services industry." }, "location" : "Atlanta, GA", "locations" : [ "Atlanta, GA" ], "certifications" : [ "CFA", "CPA", "MBA" ], "timestamp" : "2026-06-16T10:48:12.401", "fingerprint" : "e610cca78e15a7fb625adeadc424c8ac386f86d9f7875dd33862d542c85116be", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/Aprio/7e18fdff-9213-4ef4-9824-7abfdb1b89a9/apply", "externalId" : "7e18fdff-9213-4ef4-9824-7abfdb1b89a9", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Atlanta", "state" : "Georgia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "33.7544657,-84.3898151" } ], "locationText" : "Atlanta, Georgia, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 2, "experienceMaxYears" : 3, "experienceLevel" : "Senior", "technicalSkills" : "Excel, PowerPoint, Word", "professionalSkills" : [ "Financial modeling", "Valuation", "Transaction advisory" ], "hardSkillsList" : [ "Financial analysis", "Accounting principles" ], "hardSkills" : [ { "name" : "Financial analysis", "level" : "intermediate" }, { "name" : "Accounting principles", "level" : "intermediate" } ], "majorSkills" : "Transaction advisory, Financial modeling, Valuation", "majorSkillsList" : [ "Transaction advisory", "Financial modeling", "Valuation" ], "coreResponsibilities" : "Assist with financial due diligence, Perform valuation analyses, Prepare client deliverables, Support deal execution, Conduct market research, Analyze financial statements, Develop financial models, Communicate findings to clients", "teamCollaboration" : "Cross-functional teams; Client engagement teams", "domainKnowledge" : "Mergers and acquisitions; Financial reporting; Accounting standards", "domainList" : [ "mergers-and-acquisitions", "financial-reporting", "accounting-standards" ], "domainSpecificKnowledge" : [ "Mergers and acquisitions", "Financial reporting", "Accounting standards" ], "toolProficiency" : [ "Bloomberg Terminal", "Capital IQ" ], "communicationSkills" : "Client presentations; Written reports", "documentationSkills" : "Financial reports", "problemSolvingSkills" : "Analytical skills", "qualificationsBasic" : "2-3 years experience", "qualificationsPreferred" : "CFA charterholder preferred, CPA license preferred, MBA preferred, Master's degree preferred", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "## Description Work with a Top 20 CPA and advisory firm that Accounts for Anything. Aprio has 40 U.S. office locations, as well as international office locations and more than 3,200 team members that speak 60+ languages across the globe. By bringing together proven expertise, deep understanding, and strategic foresight for fast-growing industries, Aprio ensures clients are prepared for wherever life or business may take them. Discover a top-rated culture, vast growth opportunities and your next big career move with Aprio. Join Aprio's (Insert Team) team and you will help clients maximize their opportunities. Aprio Advisory Group, LLC is a progressive, fast-growing firm looking for a (Title) to join their dynamic team. ## Responsibilities Compiling and analyzing historical financial data/financial statements provided by the buyer and/or seller. Commenting on client sellers and client targets’ financial operating results and financial position by highlighting significant business profitability trends and overly aggressive accounting policies. Understanding customer and vendor trends and other key transaction risk considerations. Proactively participating in meetings with Aprio client service team and management of client. Analyzing the cash flow impact of capital expenditures and working capital trends and changes. Creating and designing tailored transaction advisory reports addressing significant transaction consideration matters and issues. Continuously fostering relationships with coworkers (through all services lines and industry groups of Aprio) and clients (both strategics and private equity). Participating in a work environment that values and promotes camaraderie, collaboration and giving back to the community. Traveling approximately up to 15% of the time while upholding Aprio’s values and reputation. ## Qualifications Bachelor’s degree in accounting or finance Licensed CPA is a plus Understanding and applying Excel, PowerPoint and Word skills Demonstrating poise working with private equity and corporate executives Positive attitude, strong work ethic and excellent interpersonal and relationship building skills Working effectively and personably with a diverse group Strong written and verbal communication and presentation skills 2 – 3-year experience in Audit, Finance or Transaction Advisory Services Displaying adequate knowledge of US GAAP ## Additional Information Why work for Aprio: Whether you are just starting out, looking to advance into management or searching for your next leadership role, Aprio offers an opportunity to grow with a future-focused, innovative firm. Perks/Benefits we offer for full-time team members: - Medical, Dental, and Vision Insurance on the first day of employment - Flexible Spending Account and Dependent Care Account - 401k with Profit Sharing - 9+ holidays and discretionary time off structure - Parental Leave – coverage for both primary and secondary caregivers - Tuition Assistance Program and CPA support program with cash incentive upon completion - Discretionary incentive compensation based on firm, group and individual performance - Incentive compensation related to origination of new client sales - Top rated wellness program - Flexible working environment including remote and hybrid options What’s in it for you: - Working with an industry leader: Be part of a high-growth firm that is passionate for what’s next. - An awesome culture: Thirty-one fundamental behaviors guide our culture every day ensuring we always deliver an exceptional team-member and client experience. We call it the Aprio Way. This shared mindset creates lasting relationships between team members and with clients. - A great team: Work with a high-energy, passionate, caring and ambitious team of professionals in a collaborative culture. - Entrepreneurship: Have the freedom to innovate and bring your ideas to help us grow to become the CPA firm of choice nationally. - Growth opportunities: Grow professionally in an environment that fosters continuous learning and advancement. - Competitive compensation: You will be rewarded with competitive compensation, industry-leading benefits and a flexible work environment to enjoy work/life balance. EQUAL OPPORTUNITY EMPLOYER Aprio is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race; color; religion; national origin; sex; pregnancy; sexual orientation; gender identity and/or expression; age; disability; genetic information, citizenship status; military service obligations or any other category protected by applicable federal, state, or local law. Aprio, LLP and Aprio Advisory Group, LLC, operate in an alternative business structure, with Aprio Advisory Group, LLC providing non-attest tax and consulting services, and Aprio, LLP providing CPA firm services.", "summaryDescription" : "Senior Associate, Transaction Advisory Services at Aprio. Skills: Transaction advisory, Financial modeling, Valuation. Assist with financial due diligence. 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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 - 2+ 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. 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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 - 2+ 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. 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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 - 2+ 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 Associate, BizOps & Analytics at Jerry.ai. Skills: BizOps, Analytics, Data insights, Decision making. Define business questions. Define metrics", "createdAt" : "2026-06-16T00:30:02.013", "lastUpdated" : "2026-06-16T12:04:26.325", "ingestTimestamp" : "2026-06-16T00:30:02.013", "mongoId" : "6a305930f292fd229cf45a28", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 130000, "salaryAnnualMax" : 150000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Data analysis", "Metrics definition", "Report building", "Experiment design", "Direct communicator", "BizOps", "Analytics", "Data insights", "Decision making", "First principles thinking", "Analytical problem solving", "Car insurance", "Home insurance", "Motorcycle insurance", "RV insurance", "SQL", "Metabase", "Python", "Jupyter Hub", "GitHub" ], "skillCount" : 20, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Junior", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305930f292fd229cf45a29", "title" : "Senior Associate, BizOps & Analytics", "company" : "Jerry. ai", "industry" : "Data", "salary" : { "min" : 130000.0, "max" : 150000.0, "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" : "2026-06-16T12:35:58.569", "fingerprint" : "15e108313d01b6e40f567d4ff9b191646ff50bbdf4feebd9008cd1c86baac9d6", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/Jerry.ai/6b1c105a-90e3-4025-bcd3-c798f285cf97/application", "externalId" : "6b1c105a-90e3-4025-bcd3-c798f285cf97", "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", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Excel, SQL, Python", "professionalSkills" : [ "First principles thinking", "Data analysis", "Problem solving", "Decision making", "Execution" ], "hardSkillsList" : [ "Data interpretation", "Data structuring", "Analytical ability" ], "hardSkills" : [ { "name" : "Data interpretation", "level" : "intermediate" }, { "name" : "Data structuring", "level" : "intermediate" }, { "name" : "Analytical ability", "level" : "intermediate" } ], "majorSkills" : "BizOps, Analytics, Data insights, Problem solving", "majorSkillsList" : [ "BizOps", "Analytics", "Data insights", "Problem solving" ], "coreResponsibilities" : "Define the right problems, Understand business questions, Inform decisions, Push back if question is flawed, Define metrics, Build reports, Run analyses, Design experiments, Surface data insights, Move key metrics, Bring recommendations to counterparts, Tell them what is happening, Tell them why it is happening, Tell them what next steps should be", "teamCollaboration" : "Embedded in business units; Counterparts in product, growth, finance or operations", "domainKnowledge" : "Car ownership; Home ownership; Insurance; Repair marketplace; Physical assets", "domainList" : [ "car-ownership", "home-ownership", "insurance", "repair-marketplace", "physical-assets" ], "domainSpecificKnowledge" : [ "Car ownership", "Home ownership", "Insurance", "Repair marketplace", "Physical assets" ], "toolProficiency" : [ "Excel", "SQL", "Python", "Jupyter Hub", "GitHub", "Clickhouse", "Metabase" ], "communicationSkills" : "Direct communication; Clear writing; Precise speaking; Persuasive communication", "problemSolvingSkills" : "First principles thinker; Break ambiguous problems into clear hypotheses", "outcomesObjectives" : "Move team's key metrics; Go from 5M to 50M customers; Become a $10B business", "qualificationsBasic" : "2+ years of experience at a consulting firm, investment bank, or high-growth technology company, Analytical 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", "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 - 2+ 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 Associate, BizOps & Analytics at Jerry. ai. Skills: BizOps, Analytics, Data insights, Problem solving. Define the right problems. Understand business questions", "createdAt" : "2026-06-16T00:29:35.595", "lastUpdated" : "2026-06-16T12:35:58.569", "ingestTimestamp" : "2026-06-16T00:29:35.595", "mongoId" : "6a305930f292fd229cf45a29", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 130000, "salaryAnnualMax" : 150000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Data interpretation", "Data structuring", "Analytical ability", "BizOps", "Analytics", "Data insights", "Problem solving", "First principles thinking", "Data analysis", "Decision making", "Execution", "Car ownership", "Home ownership", "Insurance", "Repair marketplace", "Physical assets", "Excel", "SQL", "Python", "Jupyter Hub", "GitHub", "Clickhouse", "Metabase" ], "skillCount" : 23, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305930f292fd229cf45a26", "title" : "Senior Associate, BizOps & Analytics", "company" : "Jerry.ai", "industry" : "Data", "salary" : { "min" : 130000.0, "max" : 150000.0, "currency" : "CAD", "frequency" : "Yearly" }, "location" : "Toronto, Ontario", "locations" : [ "Toronto, Ontario", "London, Ontario", "Kingston, Ontario", "Waterloo, Ontario", "Ottawa, Ontario", "Markham, Ontario", "Hamilton, Ontario" ], "timestamp" : "2026-06-16T11:20:53.221", "fingerprint" : "ae3f72491f2d2191cdbf47963a3bf23cea6c3d3513cdc4e4516085fe051ec6fe", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/Jerry.ai/5ffb5a27-beac-4e4f-8486-656b87339a8c/application", "externalId" : "5ffb5a27-beac-4e4f-8486-656b87339a8c", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Toronto", "state" : "Ontario", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "43.6534817,-79.3839347" } ], "locationText" : "Toronto, Ontario, Canada", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Excel, SQL, Python", "professionalSkills" : [ "First principles thinking", "Problem solving", "Data analysis", "Decision making", "Execution" ], "hardSkillsList" : [ "Data analysis", "Metrics definition", "Report building", "Experiment design" ], "softSkillsList" : [ "Direct communication" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Metrics definition", "level" : "intermediate" }, { "name" : "Report building", "level" : "intermediate" }, { "name" : "Experiment design", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Direct communication" } ], "majorSkills" : "BizOps, Analytics, Problem solving, Data insights", "majorSkillsList" : [ "BizOps", "Analytics", "Problem solving", "Data insights" ], "coreResponsibilities" : "Define business questions, Define metrics, Build reports, Run analyses, Design experiments, Surface data insights, Bring recommendations, Drive decisions", "teamCollaboration" : "Embedded in business units; Work with product; Work with growth; Work with finance; Work with operations", "domainKnowledge" : "Car insurance; Physical assets management", "domainList" : [ "car-insurance", "physical-assets-management" ], "domainSpecificKnowledge" : [ "Car insurance", "Physical assets management" ], "toolProficiency" : [ "SQL", "Clickhouse", "Metabase", "Python", "Jupyter Hub", "GitHub" ], "communicationSkills" : "Direct communication; Clear writing; Precise speaking", "problemSolvingSkills" : "First principles thinker; Break ambiguous problems", "outcomesObjectives" : "Move team's key metrics; Become $10B business", "qualificationsBasic" : "2+ years consulting experience, 2+ years investment bank experience, 2+ 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 leadership decisions", "remoteFriendly" : true, "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 - 2+ 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 Associate, BizOps & Analytics at Jerry.ai. Skills: BizOps, Analytics, Problem solving, Data insights. Define business questions. Define metrics", "createdAt" : "2026-06-16T00:29:08.325", "lastUpdated" : "2026-06-16T11:20:53.221", "ingestTimestamp" : "2026-06-16T00:29:08.325", "mongoId" : "6a305930f292fd229cf45a26", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Data analysis", "Metrics definition", "Report building", "Experiment design", "Direct communication", "BizOps", "Analytics", "Problem solving", "Data insights", "First principles thinking", "Decision making", "Execution", "Car insurance", "Physical assets management", "SQL", "Clickhouse", "Metabase", "Python", "Jupyter Hub", "GitHub" ], "skillCount" : 20, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Junior", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305098f292fd229cef28ea", "title" : "Senior Associate, BizOps & Analytics", "company" : "Jerry. ai", "industry" : "Data", "salary" : { "min" : 130000.0, "max" : 150000.0, "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" : "2026-06-16T10:30:25.847", "fingerprint" : "e38bd468c6af58a5c339e519e6ff698039e6fae6c8895a08017aa014f292cfdd", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/jerry.ai/6b1c105a-90e3-4025-bcd3-c798f285cf97/application", "externalId" : "6b1c105a-90e3-4025-bcd3-c798f285cf97", "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", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Excel, SQL, Python", "professionalSkills" : [ "First principles thinking", "Data analysis", "Problem solving", "Decision making", "Execution" ], "hardSkillsList" : [ "Data analysis", "Data interpretation", "Metrics definition", "Report building", "Experiment design" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Data interpretation", "level" : "intermediate" }, { "name" : "Metrics definition", "level" : "intermediate" }, { "name" : "Report building", "level" : "intermediate" }, { "name" : "Experiment design", "level" : "intermediate" } ], "majorSkills" : "BizOps, Analytics, Data insights, Problem solving", "majorSkillsList" : [ "BizOps", "Analytics", "Data insights", "Problem solving" ], "coreResponsibilities" : "Define the right problems, Understand business question, Inform decision making, Push back if question is flawed, Define metrics, Build reports, Run analyses, Design experiments, Surface data insights, Move team's key metrics, Bring recommendations to counterparts, Tell them what's happening, Tell them why, Tell them what next steps should be, Own analytical function end-to-end", "teamCollaboration" : "Embedded in business units; Counterparts in product, growth, finance, operations", "domainKnowledge" : "Car ownership; Home ownership; Insurance; Repair marketplace; Physical assets management", "domainList" : [ "car-ownership", "home-ownership", "insurance", "repair-marketplace", "physical-assets-management" ], "domainSpecificKnowledge" : [ "Car ownership", "Home ownership", "Insurance", "Repair marketplace", "Physical assets management" ], "toolProficiency" : [ "SQL", "Metabase", "Python", "Jupyter Hub", "GitHub" ], "communicationSkills" : "Direct communication; Clear writing; Precise speaking; Persuasive communication", "problemSolvingSkills" : "First principles thinker; Break ambiguous problems into clear hypotheses", "qualificationsBasic" : "2+ years of experience at a consulting firm, investment bank, or high-growth technology company, Analytical 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", "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 - 2+ 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 Associate, BizOps & Analytics at Jerry. ai. Skills: BizOps, Analytics, Data insights, Problem solving. Define the right problems. Understand business question", "createdAt" : "2026-06-16T00:27:44.020", "lastUpdated" : "2026-06-16T10:30:25.847", "ingestTimestamp" : "2026-06-16T00:27:44.020", "mongoId" : "6a305098f292fd229cef28ea", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 130000, "salaryAnnualMax" : 150000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Data analysis", "Data interpretation", "Metrics definition", "Report building", "Experiment design", "BizOps", "Analytics", "Data insights", "Problem solving", "First principles thinking", "Decision making", "Execution", "Car ownership", "Home ownership", "Insurance", "Repair marketplace", "Physical assets management", "SQL", "Metabase", "Python", "Jupyter Hub", "GitHub" ], "skillCount" : 22, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "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, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c6a9d74d8ee00a090ce7c", "title" : "Senior Associate - Accounting Advisory", "company" : "Centri Business Consulting", "industry" : "Consulting", "salary" : { "min" : 95000.0, "max" : 135000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Associate in Accounting Advisory in Tampa, adjusted for junior seniority and consulting industry." }, "location" : "Tampa, Florida, United States", "locations" : [ "Tampa", "Florida", "United States" ], "timestamp" : "2026-06-15T05:27:18.409", "fingerprint" : "ba0fefb805c6383db0b2355153e524855f4bcfe2b6321bbb8b7d1b6a43765dab", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/centribusinessconsulting/jobs/5765507004", "externalId" : "5765507004", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Tampa", "state" : "Florida", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "27.9449854,-82.4583107" } ], "locationText" : "Tampa, Florida, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "coreResponsibilities" : "Provide advisory consulting services, Meet client reporting demands, Specialize in financial reporting, Specialize in internal controls, Specialize in technical accounting research, Specialize in valuation, Specialize in mergers", "workSiteFlexibility" : "Hybrid", "rawDescription" : "Centri Business Consulting provides the highest quality advisory consulting services to its clients by being reliable and responsive to their needs. Centri provides companies with the expertise they need to meet their reporting demands. Centri specializes in financial reporting, internal controls, technical accounting research, valuation, mergers at least 1 in public accounting or professional services highly preferred. This position is an exempt position as it relates to the fair labor standards Act. Centri provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. #LI-Hybrid", "summaryDescription" : "Senior Associate - Accounting Advisory at Centri Business Consulting. Provide advisory consulting services. Meet client reporting demands", "postedDate" : "2026-06-14T05:15:21.400", "createdAt" : "2026-06-14T05:15:21.400", "lastUpdated" : "2026-06-15T05:27:18.409", "ingestTimestamp" : "2026-06-14T05:15:21.400", "mongoId" : "6a2c6a9d74d8ee00a090ce7c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 95000, "salaryAnnualMax" : 135000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Junior", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Consulting", "llmIndustryConfidence" : 0.95 }, { "id" : "69cf3f062beec4dd3d9340ff", "title" : "Data and Analytics Architect", "company" : "ADCI HYD", "industry" : "Operations, IT, Support Engineering, Solution Architect, Cloud Computing", "salary" : { "min" : 2500000.0, "max" : 4000000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Senior Data and Analytics Architect in Hyderabad, India, adjusted for the FinTech industry and company size." }, "location" : "Hyderabad, Telangana, IND", "locations" : [ "Hyderabad, Telangana, IND" ], "timestamp" : "2026-06-15T07:27:32.772", "fingerprint" : "5ad498afe6ceb25c77afff66f9b663db573be509c4597dad8763d7801ca5c8cb", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/10382143/apply", "externalId" : "fe65d693-5feb-466a-8c26-5393f1ddf5b6", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Hyderabad", "state" : "Telangana", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "17.3605890,78.4740613" } ], "locationText" : "Hyderabad, Telangana, India", "employmentType" : "FULL_TIME", "experienceMinYears" : 6, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "AWS, Redshift, S3, AWS Glue, Amazon Athena, Amazon QuickSight, AWS Lambda, EMR, Kinesis, FireHose, IAM, SAP", "professionalSkills" : [ "Data engineering", "Analytics architecture", "Data platform design", "Data ingestion", "Data transformation", "Data storage", "Semantic modeling", "Reporting", "Analytics patterns", "Data pipelines", "Data processing", "Reporting architectures", "Data quality", "Data governance", "Data security", "Operational controls", "Business requirements", "Architecture standards", "Data flow diagrams", "Support procedures", "Performance issues", "Data quality concerns", "Corrective actions", "Implementation initiatives", "Migration initiatives", "Modernization initiatives", "Enhancement initiatives", "Platform integration" ], "hardSkillsList" : [ "Data engineering", "Database engineering", "Business intelligence", "Business analytics", "Data warehousing", "Enterprise data platform", "Data pipelines", "Analytics solutions", "Data processing", "Reporting architectures", "Data quality", "Data governance", "Data security", "Operational controls", "Data integration" ], "hardSkills" : [ { "name" : "Data engineering", "level" : "intermediate" }, { "name" : "Database engineering", "level" : "intermediate" }, { "name" : "Business intelligence", "level" : "intermediate" }, { "name" : "Business analytics", "level" : "intermediate" }, { "name" : "Data warehousing", "level" : "intermediate" }, { "name" : "Enterprise data platform", "level" : "intermediate" }, { "name" : "Data pipelines", "level" : "intermediate" }, { "name" : "Analytics solutions", "level" : "intermediate" }, { "name" : "Data processing", "level" : "intermediate" }, { "name" : "Reporting architectures", "level" : "intermediate" }, { "name" : "Data quality", "level" : "intermediate" }, { "name" : "Data governance", "level" : "intermediate" }, { "name" : "Data security", "level" : "intermediate" }, { "name" : "Operational controls", "level" : "intermediate" }, { "name" : "Data integration", "level" : "intermediate" } ], "majorSkills" : "Data architecture, AWS data services, Data platform design", "majorSkillsList" : [ "Data architecture", "AWS data services", "Data platform design" ], "coreResponsibilities" : "Lead design of data solutions, Lead implementation of data solutions, Lead support of data solutions, Architect data platforms using AWS, Define data ingestion patterns, Implement data ingestion patterns, Define data transformation patterns, Implement data transformation patterns, Define data storage patterns, Implement data storage patterns, Define semantic modeling patterns, Implement semantic modeling patterns, Define reporting patterns, Implement reporting patterns, Define analytics patterns, Implement analytics patterns, Design data pipelines, Optimize data pipelines, Design batch data processing, Optimize batch data processing, Design near real-time processing, Optimize near real-time processing, Design reporting architectures, Optimize reporting architectures, Ensure data quality, Ensure data governance, Ensure data security, Ensure operational controls, Work with business teams, Work with finance teams, Work with IT teams, Work with application teams, Design reliable data solutions, Design scalable data solutions, Develop architecture standards, Maintain architecture standards, Develop design documents, Maintain design documents, Develop data flow diagrams, Maintain data flow diagrams, Develop support procedures, Maintain support procedures, Monitor data pipelines, Monitor analytics platforms, Monitor reporting solutions, Drive corrective actions", "teamCollaboration" : "Business teams; Finance teams; IT teams; Application teams", "domainKnowledge" : "FinTech; SAP data; Finance reporting; Supply chain reporting; Enterprise operational reporting", "domainList" : [ "fintech", "sap-data", "finance-reporting", "supply-chain-reporting", "enterprise-operational-reporting" ], "domainSpecificKnowledge" : [ "FinTech", "SAP data", "Finance reporting", "Supply chain reporting", "Enterprise operational reporting" ], "documentationSkills" : "Design documents; Data flow diagrams", "problemSolvingSkills" : "Problem-solving", "qualificationsBasic" : "6+ years data engineering experience, 8+ years analytics experience, Experience designing scalable data pipelines, Experience designing cloud-based analytics solutions, Excellent analytical skills, Excellent problem-solving skills, Excellent stakeholder management skills, Ability to work independently, Ability to work as part of a team", "qualificationsPreferred" : "Knowledge of SAP data platforms, Experience with real-time data processing, Experience with event-driven data processing, Experience with data lake architecture, Experience with data warehouse architecture, Experience with hybrid analytics architecture, Experience with enterprise reporting, Experience with KPI frameworks, Experience with dashboard design, Knowledge of finance reporting domains, Knowledge of supply chain reporting domains, Knowledge of enterprise operational reporting domains, Experience leading data modernization initiatives, Experience leading cloud transformation initiatives", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "We are seeking an experienced Data and Analytics Architect to join our team. The ideal candidate will be responsible for leading the design, implementation, and support of scalable data and analytics solutions on AWS, enabling trusted reporting, enterprise insights, and seamless integration across enterprise platforms. The primary focus of this role is AWS-based data engineering, analytics architecture, and modern data platform design, with SAP knowledge considered a strong advantage. Key job responsibilities * Lead the design, implementation, and support of enterprise data and analytics solutions on AWS. * Architect scalable data platforms using AWS services such as Amazon Redshift, Amazon S3, AWS Glue, Amazon Athena, Amazon QuickSuite, AWS Lambda, and related AWS data services. * Define and implement data ingestion, transformation, storage, semantic modeling, reporting, and analytics patterns across structured and semi-structured data sources. * Design and optimize enterprise data pipelines, batch and near real-time data processing, and reporting architectures. * Ensure data quality, governance, security, and operational controls are built into the platform architecture. * Work closely with business, finance, IT, and application teams to design reliable and scalable data solutions aligned with business requirements. * Develop and maintain architecture standards, design documents, data flow diagrams, and support procedures. * Monitor data pipelines, analytics platforms, and reporting solutions for failures, performance issues, and data quality concerns, and drive corrective actions. * Lead implementation, migration, modernization, and enhancement initiatives across data and analytics platforms. * Support integration with enterprise platforms, including SAP and non-SAP systems where required. Basic Qualifications: - Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions - 6+ years of data engineering, database engineering, business intelligence or business analytics experience - 8+ years of relevant experience in data engineering, analytics, data warehousing, or enterprise data platform implementation and support. - Experience designing scalable data pipelines and cloud-based analytics solutions across complex enterprise environments. - Excellent analytical, problem-solving, and stakeholder management skills, with the ability to work independently and as part of a team. Preferred Qualifications: - Knowledge of SAP data and analytics platforms such as SAP S/4HANA, BW, Datasphere, or SAC is good to have. - Experience with real-time or event-driven data processing patterns. - Experience with data lake, data warehouse, and hybrid analytics architecture patterns. - Experience with enterprise reporting, KPI frameworks, and dashboard design. - Knowledge of finance, supply chain, or enterprise operational reporting domains. - Experience leading data modernization or cloud transformation initiatives. 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" : "Data and Analytics Architect at ADCI HYD. Skills: Data architecture, AWS data services, Data platform design. Lead design of data solutions. Lead implementation of data solutions", "postedDate" : "2026-06-13T14:22:44.066", "createdAt" : "2026-06-13T14:22:44.066", "lastUpdated" : "2026-06-15T07:27:32.772", "ingestTimestamp" : "2026-06-13T14:22:44.066", "mongoId" : "69cf3f062beec4dd3d9340ff", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/10382143/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Data engineering", "Database engineering", "Business intelligence", "Business analytics", "Data warehousing", "Enterprise data platform", "Data pipelines", "Analytics solutions", "Data processing", "Reporting architectures", "Data quality", "Data governance", "Data security", "Operational controls", "Data integration", "Data architecture", "AWS data services", "Data platform design", "Analytics architecture", "Data ingestion", "Data transformation", "Data storage", "Semantic modeling", "Reporting", "Analytics patterns", "Business requirements", "Architecture standards", "Data flow diagrams", "Support procedures", "Performance issues", "Data quality concerns", "Corrective actions", "Implementation initiatives", "Migration initiatives", "Modernization initiatives", "Enhancement initiatives", "Platform integration", "FinTech", "SAP data", "Finance reporting", "Supply chain reporting", "Enterprise operational reporting" ], "skillCount" : 42, "jobCategory" : "operations", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "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, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Education", "llmIndustryConfidence" : 0.98 }, { "id" : "69fc49a74c40e2acd1a83412", "title" : "Senior Counsel, Privacy and Advisory", "company" : "Hyundai Capital America", "industry" : "Banking", "salary" : { "min" : 185000.0, "max" : 275000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Senior Counsel, Privacy and Advisory in Irvine, United States, adjusted for seniority and the financial services industry." }, "location" : "United States-California-Irvine", "locations" : [ "United States-California-Irvine", "
Headquarters 1 (HCA_HQ1)
3161 Michelson Dr. Ste 1900
Irvine, 92612

" ], "certifications" : [ "CIPP certification" ], "timestamp" : "2026-06-16T04:34:30.595", "fingerprint" : "1c545b2ff0c1e48bc47070ceedc0474c6fced0e1176e157958da978fec0bbf38", "source" : "taleo", "language" : "en", "applyUrl" : "https://hyundaicapital.taleo.net/careersection/ex/jobdetail.ftl?job=114963", "externalId" : "114963", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Irvine", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "33.6856969,-117.8259810" } ], "locationText" : "Irvine, California, United States", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "professionalSkills" : [ "Legal analysis", "Risk management", "Compliance oversight" ], "majorSkills" : "Privacy law, Data protection, Legal advisory", "majorSkillsList" : [ "Privacy law", "Data protection", "Legal advisory" ], "coreResponsibilities" : "Advise on privacy laws, Develop privacy policies, Conduct privacy risk assessments, Ensure compliance with regulations, Support data protection initiatives, Manage legal aspects of data processing, Advise on legal and regulatory requirements, Provide legal guidance on advisory matters", "teamCollaboration" : "Cross-functional teams; Business stakeholders", "domainKnowledge" : "Privacy laws; Data protection regulations; Consumer protection laws; Financial regulations", "domainList" : [ "privacy-laws", "data-protection-regulations", "consumer-protection-laws", "financial-regulations" ], "domainSpecificKnowledge" : [ "Privacy laws", "Data protection regulations", "Consumer protection laws", "Financial regulations" ], "communicationSkills" : "Legal advice; Policy development", "documentationSkills" : "Privacy policies; Legal documentation", "problemSolvingSkills" : "Legal analysis; Risk assessment", "qualificationsBasic" : "Juris Doctor degree, Admission to a state bar, 5+ years of legal experience, Experience in privacy law, Experience with data protection regulations", "qualificationsPreferred" : "Experience in the automotive or financial services industry, CIPP certification", "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 Senior Counsel, Privacy and Advisory will provide strategic, practical, and actionable legal guidance across the Company’s business lines—including the core consumer finance business, vehicle voluntary protection products business, and emerging mobility business—and oversees legal compliance for marketing activities, including advertising practices, digital marketing, consumer and dealer communications, and compliance with applicable marketing laws and industry standards. This role advises on federal and state privacy, information security, and advertising/consumer protection laws and requirements applicable to the Company’s operations. The role also designs, implements, maintains, and continuously improves the Company’s enterprise privacy framework, including privacy-related policies, procedures, standards, and governance processes. In addition, the Senior Counsel leads and manages other attorneys and privacy and records management governance professionals. As a key advisor to senior stakeholders, this role provides counsel on privacy risk, regulatory developments, and privacy by design principles, and supports product, technology, and business initiatives through effective privacy governance. Employees in this role should expect to work on site Monday through Thursday and remotely on Fridays. . What You Will Do 1. Act as the Company’s primary privacy SME, providing legal and strategic guidance to business, technology, product, and operations teams to ensure compliance with applicable privacy, data protection, information security and consumer protection/advertising laws. Oversee legal review of all external communications to consumers, customers and dealers. 2. Own, implement, and maintain the Company’s enterprise privacy framework, including privacy policies, standards, procedures, governance models, and internal guidance. Lead updates to the privacy framework in response to regulatory developments, enforcement trends, and evolving business practices. Oversee privacy related documentation, recordkeeping, and reporting. 3. Act as primary liaison with Company’s affiliates in various data sharing, privacy, and marketing-related initiatives. Support new and existing third-party contract negotiations to identify and address privacy, data protection, information security and records management requirements. 4. Lead, mentor, and develop team members by providing direction, performance feedback, and support to ensure effective collaboration, professional growth, and achievement of organizational and personal goals. What You Will Bring · Minimum 8 years of relevant legal experience in providing legal and strategic guidance on product and process development, with a focus on privacy, information security and advertising/consumer protection. · Minimum 3 years supervisory experience. · In-house legal experience preferred. · Consumer financial services or automobile finance experience. · Juris Doctor Degree; member in good standing of a state bar (CA preferred). · CIPP certification a plus. · Broad-based experience and knowledge in privacy and information security laws and experience in providing practical and actional guidance in product development and process changes. · Willingness to undertake substantial and diverse job responsibilities. · Ability to work independently and as part of legal and business teams. · Ability to effectively manage team members to ensure performance and alignment with Company objectives. · Ability to quickly pivot to changing business priorities. · Willingness to explore and identify creative alternative solutions to facilitate business initiatives. · Broad-based knowledge of privacy laws and regulations, both financial services-related and general consumer protection. · Broad-based knowledge of consumer financial services. · Attention to detail and follow through. · Ability to communicate in clear and concise manner; ability to communicate complex legal issues in laymen’s terms to all levels of the organization. · Ability to research in a thorough and effective manner and to analyze and distill complex legal requirements into a usable and practical framework. · Ability to multi-task under tight deadlines and manage competing priorities in a fast-paced environment. · Proficient in Microsoft Office Suite (Word, Excel, PowerPoint, Outlook). · Ability to successfully manage, train, develop and mentor direct reports. · Strong written and verbal communication skills. · Strong interpersonal skills to work in a team environment and build relationships with internal and external stakeholders. 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 . United States-California-Irvine", "summaryDescription" : "Senior Counsel, Privacy and Advisory at Hyundai Capital America. Skills: Privacy law, Data protection, Legal advisory. Advise on privacy laws. Develop privacy policies", "createdAt" : "2026-06-14T20:42:39.784", "lastUpdated" : "2026-06-16T04:34:30.595", "ingestTimestamp" : "2026-06-14T20:42:39.784", "mongoId" : "69fc49a74c40e2acd1a83412", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 185000, "salaryAnnualMax" : 275000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Privacy law", "Data protection", "Legal advisory", "Legal analysis", "Risk management", "Compliance oversight", "Privacy laws", "Data protection regulations", "Consumer protection laws", "Financial regulations", "CIPP certification" ], "skillCount" : 11, "jobCategory" : "operations", "jobSubcategory" : "legal", "seniorityLevel" : "Senior", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Financial Services", "llmIndustryConfidence" : 0.98 }, { "id" : "6a30511af292fd229cefa673", "title" : "Solutions Architect IV- Data and Analytics", "industry" : "IT", "salary" : { "min" : 85000.0, "max" : 135000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Solutions Architect IV in Bulgaria, adjusted for the technology industry and remote work." }, "location" : "US", "locations" : [ "US" ], "timestamp" : "2026-06-16T11:33:50.217", "fingerprint" : "1a58dd7bf18f2efdc2c046d8f3f4e1b90f08c87a7ddd6966c933a1be53219368", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/jobgether/2b7d6fbe-231c-4004-828c-8606bceba0b0/apply", "externalId" : "2b7d6fbe-231c-4004-828c-8606bceba0b0", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Oracle Analytics Cloud, ETL, Power BI", "professionalSkills" : [ "Data modeling", "Data governance", "Self-service BI", "User access management", "Data quality processes", "ETL optimization", "System troubleshooting", "Project planning", "Stakeholder management" ], "hardSkillsList" : [ "Data ingestion", "Data transformation", "Reporting logic", "Data cleansing", "Reporting needs" ], "softSkillsList" : [ "Problem-solving" ], "hardSkills" : [ { "name" : "Data ingestion", "level" : "intermediate" }, { "name" : "Data transformation", "level" : "intermediate" }, { "name" : "Reporting logic", "level" : "intermediate" }, { "name" : "Data cleansing", "level" : "intermediate" }, { "name" : "Reporting needs", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Problem-solving" } ], "majorSkills" : "Data architecture, Data analytics, Business intelligence", "majorSkillsList" : [ "Data architecture", "Data analytics", "Business intelligence" ], "coreResponsibilities" : "Develop and maintain stakeholder relationships, Ensure data and analytics solutions align with business, Enhance and maintain stability of OAC environments, Enhance and maintain performance of OAC environments, Enhance and maintain scalability of OAC environments, Design data ingestion strategies, Support data ingestion strategies, Establish data governance standards, Maintain data governance standards, Document data sources, Document transformations, Document reporting logic, Promote self-service BI adoption, Promote visualization best practices, Manage user access, Manage security, Manage provisioning for analytics platforms, Support data quality processes, Validate data, Cleanse data, Optimize ETL, Collaborate with business users, Collaborate with IT teams, Troubleshoot system issues, Deliver enhancements, Support reporting needs, Participate in SDLC processes, Participate in project planning, Participate in Agile ceremonies, Communicate status updates, Communicate risks, Contribute to dashboard development, Contribute to report creation, Contribute to migration efforts, Lift and shift OAC content into Power BI", "teamCollaboration" : "Cross-functional collaboration efforts; Business users; IT teams", "projectManagementSkills" : [ "Agile ceremonies", "Project planning", "SDLC processes" ], "domainKnowledge" : "Data lake architectures; Modern data warehouse architectures; Enterprise BI architectures", "domainList" : [ "data-lake-architectures", "modern-data-warehouse-architectures", "enterprise-bi-architectures" ], "domainSpecificKnowledge" : [ "Data lake architectures", "Modern data warehouse architectures", "Enterprise BI architectures" ], "toolProficiency" : [ "Oracle Analytics Cloud", "Power BI" ], "communicationSkills" : "Presentation; Stakeholder management; Explain analytical insights", "documentationSkills" : "Documentation of data sources; Documentation of transformations; Documentation of reporting logic", "problemSolvingSkills" : "Problem-solving abilities", "specialRequirements" : "Willingness to travel periodically", "qualificationsBasic" : "Bachelor's degree in Computer Science, Information Systems, Business Administration, or related field, 5+ years of experience in BI, data analytics, or data architecture roles, Experience with relational databases, Data modeling concepts, ETL processes, Flat file data integration, Deep understanding of data analytics platforms, Reporting frameworks, Enterprise BI architectures, Ability to translate business requirements into technical data solutions, Explain analytical insights in simple terms, Experience working with stakeholders to define priorities, Gather requirements, Deliver data-driven solutions, Knowledge of Agile/Scrum methodologies, Basic project management principles, Communication skills, Presentation skills, Stakeholder management skills", "qualificationsPreferred" : "Hands-on experience with Microsoft Power BI or similar data visualization tools, Familiarity with data lake concepts, Emerging modern data warehouse architectures", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "## Accountabilities Develop and maintain strong stakeholder relationships to ensure data and analytics solutions align with evolving business requirements and priorities. Enhance and maintain stability, performance, and scalability of existing Oracle Analytics Cloud (OAC) environments. Design and support data ingestion strategies for modern data lake architectures using ETL tools, flat file processing, and integration frameworks. Establish and maintain data governance standards, including documentation of data sources, transformations, and reporting logic. Promote self-service BI adoption and visualization best practices across the organization using OAC and Power BI platforms. Manage user access, security, and provisioning for analytics platforms, ensuring appropriate governance and compliance. Support data quality processes including validation, cleansing, and ETL optimization to ensure reliable reporting outputs. Collaborate with business users and IT teams to troubleshoot system issues, deliver enhancements, and support reporting needs. Participate in SDLC processes, project planning, and Agile ceremonies while ensuring timely communication of status updates and risks. Contribute to dashboard development, report creation, and migration efforts including the “lift and shift” of legacy OAC content into Power BI. Requirements: Bachelor’s degree in Computer Science, Information Systems, Business Administration, or related field. 5+ years of experience in BI, data analytics, or data architecture roles covering design, development, implementation, and support of enterprise analytics solutions. Strong experience with relational databases, data modeling concepts, ETL processes, and flat file data integration. Hands-on experience with Microsoft Power BI or similar data visualization tools strongly preferred. Deep understanding of data analytics platforms, reporting frameworks, and enterprise BI architectures. Strong ability to translate business requirements into technical data solutions and explain analytical insights in simple terms. Experience working with stakeholders to define priorities, gather requirements, and deliver data-driven solutions. Familiarity with data lake concepts and emerging modern data warehouse architectures. Knowledge of Agile/Scrum methodologies and basic project management principles. Strong communication, presentation, and stakeholder management skills across technical and non-technical audiences. Self-starter mindset with strong problem-solving abilities and ability to lead cross-functional collaboration efforts. Willingness to travel periodically as required. Benefits: Competitive base salary with performance-based incentive compensation. Comprehensive health coverage including medical, dental, and vision insurance. Life insurance, disability coverage, and additional voluntary benefit options. Immediate eligibility for 401(k) with employer matching contributions. Generous paid time off including 80 hours (10 days) of company holidays annually. Adoption benefits and family support programs. Inclusive work environment with equal opportunity employment practices. Exposure to modern data architecture transformation and enterprise BI modernization initiatives. ## 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" : "Solutions Architect IV- Data and Analytics. Skills: Data architecture, Data analytics, Business intelligence. Develop and maintain stakeholder relationships. Ensure data and analytics solutions align with business", "postedDate" : "2026-06-15T10:16:20.862", "createdAt" : "2026-06-15T10:16:20.862", "lastUpdated" : "2026-06-16T11:33:50.217", "ingestTimestamp" : "2026-06-16T03:20:53.708", "mongoId" : "6a30511af292fd229cefa673", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Data ingestion", "Data transformation", "Reporting logic", "Data cleansing", "Reporting needs", "Problem-solving", "Data architecture", "Data analytics", "Business intelligence", "Data modeling", "Data governance", "Self-service BI", "User access management", "Data quality processes", "ETL optimization", "System troubleshooting", "Project planning", "Stakeholder management", "Agile ceremonies", "SDLC processes", "Data lake architectures", "Modern data warehouse architectures", "Enterprise BI architectures", "Oracle Analytics Cloud", "Power BI" ], "skillCount" : 25, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305303f292fd229cf10b61", "title" : "Data engineer Databricks", "company" : "Devoteam", "industry" : "Information Technology And Services", "salary" : { "min" : 48000.0, "max" : 65000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Mid-level Data Engineer in the Technology industry in Lille, France, adjusted for company size and specific technology focus." }, "location" : "Lille, Hauts-de-France, France", "locations" : [ "Lille", "Hauts-de-France", "France" ], "timestamp" : "2026-06-16T07:37:17.632", "fingerprint" : "a14e4addf76505e69f3f04673ef3964cdee3e9abdb130310b06d967bcb7c98e2", "source" : "smartrecruiters", "language" : "fr", "applyUrl" : "https://jobs.smartrecruiters.com/Devoteam/744000131902623-data-engineer-databricks", "externalId" : "744000131902623", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Lille", "state" : "Hauts-de-France", "country" : "France", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "50.6365654,3.0635282" } ], "locationText" : "Lille, Hauts-de-France, France", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "Databricks, AWS, S3, Glue, PostgreSQL, Aurora, Unity Catalog, Python, FastAPI, CI/CD, GitHub, Hashicorp Vault", "professionalSkills" : [ "Data governance", "Metadata management", "Access management" ], "hardSkillsList" : [ "Data contract registry", "Data pipeline design", "Automated governance" ], "hardSkills" : [ { "name" : "Data contract registry", "level" : "intermediate" }, { "name" : "Data pipeline design", "level" : "intermediate" }, { "name" : "Automated governance", "level" : "intermediate" } ], "majorSkills" : "Databricks, AWS, Python, Data Engineering", "majorSkillsList" : [ "Databricks", "AWS", "Python", "Data Engineering" ], "coreResponsibilities" : "Garantir robustesse data contract registry, Assurer support outils équipe, Monitorer systèmes continuellement, Prendre actions management proactives, Gérer écosystèmes Data, Restituer métadonnées datalake, Accompagner sur AWS S3, Accompagner sur AWS Glue, Accompagner sur Unity Catalog, Accompagner former bonnes pratiques, Conseiller conception pipelines données, Développer fonctionnalités gouvernance automatisée, Collaborer avec Staff Engineers", "teamCollaboration" : "Staff Engineers", "domainKnowledge" : "Data governance; Metadata management; Data pipelines; Cloud ecosystems; Data value transformation", "domainList" : [ "data-governance", "metadata-management", "data-pipelines", "cloud-ecosystems", "data-value-transformation" ], "domainSpecificKnowledge" : [ "Data governance", "Metadata management", "Data pipelines", "Cloud ecosystems", "Data value transformation" ], "toolProficiency" : [ "Databricks", "AWS S3", "AWS Glue", "Unity Catalog", "FastAPI", "GitHub", "Hashicorp Vault" ], "continuousLearning" : "Learning Company; Continuous learning", "specialRequirements" : "2-3 entretiens, 1 entretien présentiel", "outcomesObjectives" : "Transformer valeur données en succès", "qualificationsBasic" : "Expertise technique avancée sur Databricks, Expertise technique avancée sur AWS S3, Expertise technique avancée sur AWS Glue, Expertise technique avancée sur PostgreSQL, Expertise technique avancée sur Aurora, Expertise technique avancée sur Unity Catalog, Maîtrise du développement en Python, Maîtrise du développement en FastAPI, A l'aise avec les processus CI/CD, A l'aise avec GitHub, A l'aise avec Hashicorp Vault", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Une agence multi spécialiste de plus de 40 collaborateurs qui forment des communautés d’experts sur le Cloud & DevOps, la data et la gestion de projet. Devoteam Lille accompagne ses clients dans une transformation digitale durable. A l’agence de Lille, les consultants peuvent intégrer nos clubs happiness Running, Gastronomy, Raquettes, Basket, Foot, ou encore gaming. Data Driven a pour ambition d’aider ses clients à transformer la valeur de leurs données en succès durable. Nous tirons parti à la fois de notre expertise sur les plateformes technologiques les plus innovantes et de notre connaissance métier avec la meilleure combinaison d’experts pour accompagner nos clients dans leur quête d’agilité, de compétitivité et de croissance durable. Missions du poste * \uD83D\uDEE1️ Garantir la robustesse du data contract registry (Aurora et Python FastAPI) et assurer le support sur les outils de l'équipe. * \uD83D\uDCCA Monitorer les systèmes de manière continue et prendre des actions proactives de management. * ☁️ Gérer les écosystèmes Data en restituant les métadonnées dans le datalake et en accompagnant sur AWS S3, AWS Glue et Unity Catalog. * \uD83D\uDCA1 Accompagner et former en définissant les bonnes pratiques et en conseillant lors de la conception des pipelines de données. * \uD83D\uDE80 Développer les futures fonctionnalités de gouvernance automatisée (access et metadata management) en étroite collaboration avec les Staff Engineers. ## Qualifications Vous possédez une expertise technique avancée sur Databricks , AWS (S3, Glue), PostgreSQL et Aurora , ainsi que sur Unity Catalog. Vous maîtrisez le développement en Python et FastAPI , et êtes à l'aise avec les processus de CI/CD (GitHub) et Hashicorp Vault. ## Additional Information Comment se déroule le processus de recrutement chez Devoteam ? Il comporte 2 à 3 entretiens : – Talent Acquisition Interview : l’objectif est de faire le point sur vos compétences, votre niveau d’anglais et de valider vos éléments de motivation – Tech & Business Interview : cet entretien vise à approfondir vos compétences techniques et à vérifier leur adéquation avec nos besoins lors d’un échange avec un expert métier – Leadership Interview : il permet d’évaluer votre potentiel, vos ambitions et d’envisager votre évolution au sein de Devoteam. Nous privilégions au moins un entretien en présentiel. Une prise de référence est demandée et, selon votre profil, des tests (techniques, anglais, personnalité…) peuvent vous être adressés. Pourquoi nous rejoindre : Nous sommes une AI-Driven Company, partenaire des plus grandes plateformes technologiques (Google, AWS, Microsoft, ServiceNow,…) et composée d'un important collectif d'experts (50 tribus d'expertise). Avec 75% de nos collaborateurs certifiés dont 100 % sur la GenAI, Devoteam s'impose comme une Learning Company, où l’apprentissage continu est au cœur de notre ADN.", "summaryDescription" : "Data engineer Databricks at Devoteam. Skills: Databricks, AWS, Python, Data Engineering. Garantir robustesse data contract registry. Assurer support outils équipe", "postedDate" : "2026-06-12T13:18:03.000", "createdAt" : "2026-06-15T21:57:14.888", "lastUpdated" : "2026-06-16T07:37:17.632", "ingestTimestamp" : "2026-06-15T21:57:14.888", "mongoId" : "6a305303f292fd229cf10b61", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ "Data contract registry", "Data pipeline design", "Automated governance", "Databricks", "AWS", "Python", "Data Engineering", "Data governance", "Metadata management", "Access management", "Data pipelines", "Cloud ecosystems", "Data value transformation", "AWS S3", "AWS Glue", "Unity Catalog", "FastAPI", "GitHub", "Hashicorp Vault" ], "skillCount" : 19, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2d427a74d8ee00a0b3e34b", "title" : "Data engineer Databricks", "company" : "Devoteam", "industry" : "Information Technology And Services", "salary" : { "min" : 55000.0, "max" : 75000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Mid-level Data Engineer in the Technology industry in Lille, France, adjusted for company size and seniority." }, "location" : "Lille, Hauts-de-France, France", "locations" : [ "Lille", "Hauts-de-France", "France" ], "timestamp" : "2026-06-16T02:46:55.096", "fingerprint" : "5a7c00e9a0ffc1a5e200a99b3c35ed80463aa24a88661d40517c23572c276393", "source" : "smartrecruiters", "language" : "fr", "applyUrl" : "https://jobs.smartrecruiters.com/Devoteam/744000131902623-data-engineer-databricks", "externalId" : "744000131902623", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Lille", "state" : "Hauts-de-France", "country" : "France", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "50.6365654,3.0635282" } ], "locationText" : "Lille, Hauts-de-France, France", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "Databricks, AWS, S3, Glue, PostgreSQL, Aurora, Unity Catalog, Python, FastAPI, CI/CD, GitHub, Hashicorp Vault", "professionalSkills" : [ "Data governance", "Metadata management", "Access management" ], "hardSkillsList" : [ "Data pipeline design", "System monitoring", "Metadata restitution" ], "hardSkills" : [ { "name" : "Data pipeline design", "level" : "intermediate" }, { "name" : "System monitoring", "level" : "intermediate" }, { "name" : "Metadata restitution", "level" : "intermediate" } ], "majorSkills" : "Databricks, AWS, Python, Data Engineering", "majorSkillsList" : [ "Databricks", "AWS", "Python", "Data Engineering" ], "coreResponsibilities" : "Garantir la robustesse du data contract registry, Assurer le support sur les outils, Monitorer les systèmes continuellement, Prendre des actions proactives de management, Gérer les écosystèmes Data, Restituer les métadonnées dans le datalake, Accompagner sur AWS S3, Accompagner sur AWS Glue, Accompagner sur Unity Catalog, Former en définissant les bonnes pratiques, Conseiller lors de la conception des pipelines, Développer les fonctionnalités de gouvernance automatisée, Gérer l'access, Gérer le metadata management", "teamCollaboration" : "Collaboration avec Staff Engineers", "domainKnowledge" : "Data contract registry; Data governance; Metadata management; Access management; Data pipelines; Datalake; Cloud ecosystems", "domainList" : [ "data-contract-registry", "data-governance", "metadata-management", "access-management", "data-pipelines", "datalake", "cloud-ecosystems" ], "domainSpecificKnowledge" : [ "Data contract registry", "Data governance", "Metadata management", "Access management", "Data pipelines", "Datalake", "Cloud ecosystems" ], "toolProficiency" : [ "Databricks", "AWS S3", "AWS Glue", "Unity Catalog", "FastAPI", "GitHub", "Hashicorp Vault" ], "continuousLearning" : "Apprentissage continu; Certifications GenAI", "problemSolvingSkills" : "Troubleshooting", "qualificationsBasic" : "Expertise technique avancée sur Databricks, Expertise technique avancée sur AWS (S3, Glue), Expertise technique avancée sur PostgreSQL, Expertise technique avancée sur Aurora, Expertise technique avancée sur Unity Catalog, Maîtrise du développement en Python, Maîtrise du développement en FastAPI, A l'aise avec les processus de CI/CD, A l'aise avec Hashicorp Vault", "qualificationsPreferred" : "Au moins un entretien en présentiel", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Une agence multi spécialiste de plus de 40 collaborateurs qui forment des communautés d’experts sur le Cloud & DevOps, la data et la gestion de projet. Devoteam Lille accompagne ses clients dans une transformation digitale durable. A l’agence de Lille, les consultants peuvent intégrer nos clubs happiness Running, Gastronomy, Raquettes, Basket, Foot, ou encore gaming. Data Driven a pour ambition d’aider ses clients à transformer la valeur de leurs données en succès durable. Nous tirons parti à la fois de notre expertise sur les plateformes technologiques les plus innovantes et de notre connaissance métier avec la meilleure combinaison d’experts pour accompagner nos clients dans leur quête d’agilité, de compétitivité et de croissance durable. Missions du poste * \uD83D\uDEE1️ Garantir la robustesse du data contract registry (Aurora et Python FastAPI) et assurer le support sur les outils de l'équipe. * \uD83D\uDCCA Monitorer les systèmes de manière continue et prendre des actions proactives de management. * ☁️ Gérer les écosystèmes Data en restituant les métadonnées dans le datalake et en accompagnant sur AWS S3, AWS Glue et Unity Catalog. * \uD83D\uDCA1 Accompagner et former en définissant les bonnes pratiques et en conseillant lors de la conception des pipelines de données. * \uD83D\uDE80 Développer les futures fonctionnalités de gouvernance automatisée (access et metadata management) en étroite collaboration avec les Staff Engineers. ## Qualifications Vous possédez une expertise technique avancée sur Databricks , AWS (S3, Glue), PostgreSQL et Aurora , ainsi que sur Unity Catalog. Vous maîtrisez le développement en Python et FastAPI , et êtes à l'aise avec les processus de CI/CD (GitHub) et Hashicorp Vault. ## Additional Information Comment se déroule le processus de recrutement chez Devoteam ? Il comporte 2 à 3 entretiens : – Talent Acquisition Interview : l’objectif est de faire le point sur vos compétences, votre niveau d’anglais et de valider vos éléments de motivation – Tech & Business Interview : cet entretien vise à approfondir vos compétences techniques et à vérifier leur adéquation avec nos besoins lors d’un échange avec un expert métier – Leadership Interview : il permet d’évaluer votre potentiel, vos ambitions et d’envisager votre évolution au sein de Devoteam. Nous privilégions au moins un entretien en présentiel. Une prise de référence est demandée et, selon votre profil, des tests (techniques, anglais, personnalité…) peuvent vous être adressés. Pourquoi nous rejoindre : Nous sommes une AI-Driven Company, partenaire des plus grandes plateformes technologiques (Google, AWS, Microsoft, ServiceNow,…) et composée d'un important collectif d'experts (50 tribus d'expertise). Avec 75% de nos collaborateurs certifiés dont 100 % sur la GenAI, Devoteam s'impose comme une Learning Company, où l’apprentissage continu est au cœur de notre ADN.", "summaryDescription" : "Data engineer Databricks at Devoteam. Skills: Databricks, AWS, Python, Data Engineering. Garantir la robustesse du data contract registry. Assurer le support sur les outils", "postedDate" : "2026-06-12T13:18:03.000", "createdAt" : "2026-06-14T18:38:46.197", "lastUpdated" : "2026-06-16T02:46:55.096", "ingestTimestamp" : "2026-06-14T18:38:46.197", "mongoId" : "6a2d427a74d8ee00a0b3e34b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Data pipeline design", "System monitoring", "Metadata restitution", "Databricks", "AWS", "Python", "Data Engineering", "Data governance", "Metadata management", "Access management", "Data contract registry", "Data pipelines", "Datalake", "Cloud ecosystems", "AWS S3", "AWS Glue", "Unity Catalog", "FastAPI", "GitHub", "Hashicorp Vault" ], "skillCount" : 20, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2ca57974d8ee00a09b6af4", "title" : "Data Lead (Advisory)", "company" : "Alpha Financial Markets Consulting", "industry" : "Consulting", "salary" : { "min" : 105000.0, "max" : 155000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Lead Data role in London, adjusted for the financial consulting industry and company size." }, "location" : "London, Greater London, England, United Kingdom", "locations" : [ "London", "Greater London", "England", "United Kingdom" ], "timestamp" : "2026-06-15T09:31:35.534", "fingerprint" : "d576f2c0cbb1e36badd976fccadbc2bfb27dffd4524ddb90eea9df30d5ee0d25", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/alphafmcroles/jobs/8371737002", "externalId" : "8371737002", "industryFunction" : { }, "structuredLocations" : [ { "city" : "London", "state" : "Greater London", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "51.5156177,-0.0919983" } ], "locationText" : "London, Greater London, United Kingdom", "experienceMinYears" : 8, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "technicalSkills" : "Data modelling, Data architecture, Data management, System integration, Data warehousing, BI tools, Data lineage, Cloud data architectures, Modern data stack", "professionalSkills" : [ "Strategic consulting", "Technical design", "Integration frameworks", "Enterprise performance management", "Client advisory", "Technical sales" ], "hardSkillsList" : [ "Data lineage", "Architecture design", "System integration planning", "Connector/APIs inventories", "Data warehousing", "BI reporting", "Data migration", "Data integration" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Data lineage", "level" : "intermediate" }, { "name" : "Architecture design", "level" : "intermediate" }, { "name" : "System integration planning", "level" : "intermediate" }, { "name" : "Connector/APIs inventories", "level" : "intermediate" }, { "name" : "Data warehousing", "level" : "intermediate" }, { "name" : "BI reporting", "level" : "intermediate" }, { "name" : "Data migration", "level" : "intermediate" }, { "name" : "Data integration", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Data modelling, Data architecture, System integration, Client advisory", "majorSkillsList" : [ "Data modelling", "Data architecture", "System integration", "Client advisory" ], "coreResponsibilities" : "Own private market data model, Evolve private market data model, Maintain system integration inventories, Manage system integration inventories, Design integration frameworks, Support enterprise performance management solutions, Advise on data warehousing, Advise on BI/reporting, Translate requirements into technical solutions, Support business growth, Oversee scoping of data migration, Oversee design of data migration, Facilitate collaboration between consultants and technology teams, Drive project delivery", "teamCollaboration" : "Management consulting teams; Technical delivery units; Advisory consultants; Technology teams", "projectManagementSkills" : [ "Scoping", "Design" ], "domainKnowledge" : "Private market data; Alternative investment; Financial services; Private equity; Private debt; Credit; Infrastructure; Alternative investments; Private markets", "domainList" : [ "private-market-data", "alternative-investment", "financial-services", "private-equity", "private-debt", "credit", "infrastructure", "alternative-investments", "private-markets" ], "domainSpecificKnowledge" : [ "Private market data", "Alternative investment", "Financial services", "Private equity", "Private debt", "Credit", "Infrastructure", "Alternative investments", "Private markets" ], "toolProficiency" : [ "System connectors", "APIs" ], "communicationSkills" : "Client advisory; Simplifying technical concepts; Technical sales", "innovationCreativity" : "Innovations", "problemSolvingSkills" : "Resolve challenges; Address challenges", "outcomesObjectives" : "Drives impactful business decisions", "qualificationsBasic" : "Proven experience in data modelling, Proven experience in data architecture, Proven experience in data management, Knowledge of private market data, Knowledge of alternative investment applications, Hands-on experience with system integration planning, Hands-on experience managing connector/APIs inventories, Familiarity with data warehousing, Familiarity with BI tools, Familiarity with data lineage methodologies, Exceptional communication skills, Skilled in scoping complex data migrations, Skilled in designing complex data migrations, Skilled in scoping complex data integrations, Skilled in designing complex data integrations, Sales-minded approach, Experience supporting technical sales processes, Collaborative, Proactive, Adept at navigating between business and technical teams", "qualificationsPreferred" : "Background in consulting, Background in financial services, Background in technology supporting alternatives/private markets, Experience with BPM/EPM solutions, Knowledge of cloud data architectures, Knowledge of modern data stack technologies", "rawDescription" : "About Alpha Group Alpha Group is a leading global consultancy to the financial services industry. Founded in 2003, Alpha has spent over 20 years bringing together specialist, sector-focused strategy, management consulting, and technology expertise to support the entire client transformation lifecycle. Having partnered with more than 1,200 clients worldwide across the asset and wealth management, alternatives, and insurance industries, Alpha is a trusted advisor for complex change programs. We now have over 1,180 consultants working with clients across North America, the UK, Europe, the Middle East, and APAC. In 2024, in recognition of our successful track record and strong growth prospects, Alpha was acquired by Bridgepoint, one of the world's leading quoted private asset growth investors. Our people are at the heart of everything we do. Many of our team have built long and fulfilling careers with us, often staying for over a decade. Alpha offers a genuinely rewarding place to work: a meritocratic environment where your career can flourish, and a welcoming culture where you can be yourself, connect with others, and thrive. As we look to the future, we’re excited to be looking for new Alpha colleagues—individuals who are collaborative, innovative, and ambitious. We hope you will join us and help shape the next chapter of our growth journey. About Alpha Alternatives Alpha Alternatives, a part of Alpha Group, is a fast-growing global consulting firm, focused on leading digital and operational transformation projects for the alternative investment industry (consisting of private equity, real estate, private debt, credit, and infrastructure). We are known for our expertise, innovation, and commitment to delivering exceptional value to our clients. Our people work side by side with our clients to help them identify, address, and resolve the key operational and technology challenges within alternative investments and financial services firms. We often find that some of the best innovations come from within, and our role is to help empower client teams to drive the change that is required. Collaborating and supporting our clients are the key attributes we look for in our consultants as well as professionals who have experienced the challenges and enabling technologies firsthand. We’re Hiring: Data Lead – Advisory / Alternative Advisory Are you a technically skilled, business-savvy data professional passionate about alternative investments and private markets? Join our Advisory practice as a Data Lead and play a pivotal role bridging cutting-edge data architecture with strategic consulting. About the Role: As our Alternatives Data Lead, you will own the Private Market data model and architecture best practices, acting as the critical link between management consulting teams and technical delivery units. You will spearhead vendor technical designs, blueprint integration frameworks, and manage an extensive system connector inventory — ensuring seamless data integration and migration that drives impactful business decisions. What You’ll Do: Own and evolve the private market data model with a deep understanding of data lineage and architecture design principles Maintain and manage system integration inventories, staying ahead of technical capabilities and innovations Collaborate with technical teams to design robust integration frameworks and support enterprise performance management solutions Function as a trusted client advisor, simplifying technical concepts around data warehousing and BI/reporting for diverse audiences Support business growth by translating complex requirements into technical solutions and contributing to sales engagements Oversee scoping and design of scalable data migration initiatives Facilitate effective collaboration between advisory consultants and technology teams to drive successful project delivery What We’re Looking For: Proven experience in data modelling, data architecture, or data management within consulting or technology contexts Strong knowledge of private market data and alternative investment applications Hands-on experience with system integration planning and managing connector/APIs inventories Familiarity with data warehousing, BI tools, and data lineage methodologies Exceptional communication skills with the ability to advise both technical and non-technical stakeholders Skilled in scoping and designing complex data migrations and integrations (coding not required) A sales-minded approach with experience supporting technical sales processes Collaborative, proactive, and adept at navigating between business and technical teams Preferred: Background in consulting, financial services, or technology supporting alternatives/private markets Experience with BPM/EPM solutions Knowledge of cloud data architectures and modern data stack technologies Ready to drive data innovation in alternative investments? Apply now to join our expert Advisory practice and shape the future of private market data.", "summaryDescription" : "Data Lead (Advisory) at Alpha Financial Markets Consulting. Skills: Data modelling, Data architecture, System integration, Client advisory. Own private market data model. Evolve private market data model", "postedDate" : "2026-06-14T06:27:10.740", "createdAt" : "2026-06-14T06:27:10.740", "lastUpdated" : "2026-06-15T09:31:35.534", "ingestTimestamp" : "2026-06-14T06:27:10.740", "mongoId" : "6a2ca57974d8ee00a09b6af4", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Data lineage", "Architecture design", "System integration planning", "Connector/APIs inventories", "Data warehousing", "BI reporting", "Data migration", "Data integration", "Leadership", "Data modelling", "Data architecture", "System integration", "Client advisory", "Strategic consulting", "Technical design", "Integration frameworks", "Enterprise performance management", "Technical sales", "Scoping", "Design", "Private market data", "Alternative investment", "Financial services", "Private equity", "Private debt", "Credit", "Infrastructure", "Alternative investments", "Private markets", "System connectors", "APIs" ], "skillCount" : 31, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Lead", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Consulting", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c8d6a74d8ee00a0978def", "title" : "Senior Associate, BizOps & Analytics", "company" : "Jerry. ai", "industry" : "Data", "salary" : { "min" : 130000.0, "max" : 150000.0, "currency" : "CAD", "frequency" : "Yearly" }, "location" : "Toronto, Ontario", "locations" : [ "Toronto, Ontario", "London, Ontario", "Kingston, Ontario", "Waterloo, Ontario", "Ottawa, Ontario", "Markham, Ontario", "Hamilton, Ontario" ], "timestamp" : "2026-06-16T06:15:15.391", "fingerprint" : "153c89c5ec7ab6e722ebd78b795034e8faf23e701561b1e06d9bc963b1ea6bd5", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/jerry.ai/05c1f001-9313-4d57-b4a6-1751d17ed03c/application", "externalId" : "05c1f001-9313-4d57-b4a6-1751d17ed03c", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Toronto", "state" : "Ontario", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "43.6534817,-79.3839347" } ], "locationText" : "Toronto, Ontario, Canada", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "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 communicator", "Owner" ], "hardSkills" : [ { "name" : "Data interpretation", "level" : "intermediate" }, { "name" : "Data structuring", "level" : "intermediate" }, { "name" : "Data pulling", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Direct communicator" }, { "name" : "Owner" } ], "majorSkills" : "BizOps, Analytics, Problem solving, Data insights", "majorSkillsList" : [ "BizOps", "Analytics", "Problem solving", "Data insights" ], "coreResponsibilities" : "Define business 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 unit; 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" : [ "Excel", "SQL", "Python", "Jupyter Hub", "GitHub", "Clickhouse", "Metabase" ], "communicationSkills" : "Direct communication; Clear writing; Precise speaking; Persuasive communication; Leadership communication", "problemSolvingSkills" : "First principles thinker; Break ambiguous problems; Formulate hypotheses", "outcomesObjectives" : "Move team's key metrics; Drive business outcomes; Go from 5M to 50M customers; Become $10B business", "qualificationsBasic" : "3+ years consulting experience, 3+ years investment bank experience, 3+ years high-growth tech experience, Analytical ability to pull data, Analytical ability to structure data, Analytical ability to interpret data, Track record owning analytical problems, Track record driving analytical problems, Clear communicator, Persuasive communicator, Influence leadership decisions", "remoteFriendly" : true, "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 - 3+ 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 Associate, BizOps & Analytics at Jerry. ai. Skills: BizOps, Analytics, Problem solving, Data insights. Define business questions. 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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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From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next. What powers it all? Our people are ambitious, collaborative, and constantly evolving. About the Client Our client is a leading health and fitness software provider, supporting over 7,000 clubs across the U.S., Puerto Rico, Canada, and Mexico. Since 1981, they’ve delivered end-to-end gym management and payment solutions—empowering operators to streamline memberships, scheduling, and transactions. Project Team Team composition: 4 Senior Data Engineers, 1 Project Manager, 1 Business Analyst, 1 QA Engineer, and 2 BI Engineers Project Duration 6-month engagement with the possibility of extension What You’ll Do Design and implement scalable data pipelines and lakehouse architectures using Databricks (Delta Lake, Spark) Execute migration from Azure Synapse to Databricks, ensuring performance, and reliability improvements Develop and optimize Databricks Data Warehouse for analytics and BI workloads Build and maintain semantic models to support enterprise reporting and self-service analytics Partner with analytics and business teams to deliver high-quality Power BI datasets and dashboards Write, optimize, and tune complex SQL queries for large-scale analytical workloads Ensure data quality, reliability, and governance across the analytics platform Contribute to architecture decisions, best practices, and standards for data engineering What You Bring 5+ years of experience in data engineering or analytics engineering roles Strong hands-on experience with Databricks (Spark, SQL) Hands-on experience with Power BI, including dashboard development, DAX, semantic modeling, and Row-Level Security (RLS). Proven experience working across both Data Engineering and BI/Reporting layers Advanced SQL skills, including performance tuning and query optimization Experience migrating data platforms, ideally Azure Synapse → Databricks Experience with Power BI, including dataset modeling Strong understanding of Kimball Data Warehousing approach, star schemas, and analytics best practices Experience working with cloud data platforms English level Upper-Intermediate Legal & Hiring Information Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more Reasonable accommodations are available to enable individuals with disabilities to perform essential functions Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs Your Benefits at Exadel Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details. International projects In-office, hybrid, or remote flexibility Medical healthcare Recognition program Ongoing learning & reimbursement Well-being program Team events & local benefits Sports compensation Referral bonuses Top-tier equipment provision Exadel Culture We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. 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As a client-facing associate consultant at Gallup, you’ll transform organizations’ complicated challenges into positive business outcomes. Collaborating with exceptionally talented team members, you’ll be a highly regarded leader who influences important decision-makers with invaluable insights and advice. What You’ll Do Influence leaders and teams by building deep, trusting relationships with clients Develop expertise in your clients’ business and needs, as well as Gallup’s offerings and services Create and implement complex project plans Provide compelling, innovative and strategic insights and recommendations for maximum organizational performance Turn data insights into actionable steps for leaders Learn how to design lasting solutions that foster growth and impact Who We Want Persuasive communicators who seek to understand clients’ needs, present compelling custom strategies and inspire team members to exceed expectations Exceptional project leaders who have a natural ability to lead client projects — creating detailed project plans, orchestrating resources, managing scope and deadlines, and overseeing many moving pieces to guarantee that each client receives a world-class experience High achievers who thrive in a demanding, fast-paced and goal-oriented environment that offers ongoing development opportunities and the empowerment to work autonomously Strategic thinkers who have a sharp eye for business opportunities and who can discern an organization’s problems, analyze applicable data, weigh risks against rewards and develop creative solutions to produce business growth and increased profitability Authentic relationship builders who easily build rapport, create strong connections, navigate tough conversations and make courageous recommendations that lead to exceptional results What You Need Bachelor’s degree required; master’s degree preferred At least three years of experience in paid professional work in any of the following areas required: complex project management, client management, management consulting, human capital consulting, related consultative business development Full fluency in Japanese with proficiency in English required Track record of leading projects that resulted in positive outcomes for client accounts required Ability to work in our Tokyo office at least three days per week required, with the option to work remotely the remaining days Eligibility to work in Japan required — open to foreign candidates with valid work visas; this position is not eligible for employment-based visa sponsorship What You’ll Experience Mission-driven work: Make a meaningful difference in the world with your unique contributions, commitment to service and exceptional outcomes. An empowering culture: Collaborate with smart, passionate people who love what they do and welcome your ideas, perspectives and experiences. Learning and development: Grow in your career as we invest in what you do best, encourage curiosity and create an environment where it’s safe — and expected — to challenge the status quo. Brand strength, startup energy: Thrive in an innovative environment backed by a trusted brand. A vibrant workplace: Enjoy working in our collaborative office environment in Hamamatsucho — a business area and gateway to the heart of Tokyo — just 20 minutes from the Haneda Airport, surrounded by cafes and restaurants, and with gorgeous views of the iconic Tokyo Tower. 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 competitive pay, health insurance options, life insurance, a retirement savings program, an employee stock ownership program, mass transit reimbursement, family-building benefits, an employee assistance program, and various reimbursements and activities that enhance our associates’ wellbeing. Gallup is an equal opportunity employer. Employment decisions are based on qualifications and business needs. We value diversity and are committed to an inclusive workplace. 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. Agencies: We are not partnering with agencies for this role, nor will we accept unsolicited résumés or be responsible for any fees or expenses related to such unsolicited résumés and/or applicants. #LI-Hybrid #LI-QC1", "summaryDescription" : "Associate Consultant — Workplace Advisory at Gallup", "postedDate" : "2026-06-16T03:16:43.898", "createdAt" : "2026-06-16T03:16:43.898", "lastUpdated" : "2026-06-16T12:26:14.116", "ingestTimestamp" : "2026-06-16T03:16:43.898", "mongoId" : "6a30a1e0f292fd229c116c1d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "general", "jobSubcategory" : "general", "seniorityLevel" : "Junior", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c767e74d8ee00a093a1f6", "title" : "Senior Healthcare Data Analyst - Analytics", "company" : "Qualified Health", "industry" : "Data Engineering", "salary" : { "min" : 120000.0, "max" : 160000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "United States - Remote", "locations" : [ "United States - Remote" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T03:02:16.190", "fingerprint" : "0abbb1d84b4df4cafa9b4f6b273dff83c581cf58d173d5815ae2e74fa7bf83d4", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/qualified-health-pbc/46ccd928-2aaf-4b74-bab3-02b4698e46dc/application", "externalId" : "46ccd928-2aaf-4b74-bab3-02b4698e46dc", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "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, GCP, Azure, SageMaker, Vertex AI, Synapse, ML Studio, Tableau, Power BI, Looker", "professionalSkills" : [ "Data modeling", "Statistical analysis", "Machine learning", "Business intelligence", "Analytics engineering", "Quantitative analysis" ], "hardSkillsList" : [ "Data analysis", "Data engineering", "Machine learning", "Statistical modeling", "A/B testing", "Causal inference", "Data warehousing", "ETL processes", "Data visualization" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Data engineering", "level" : "intermediate" }, { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "Statistical modeling", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" }, { "name" : "Data warehousing", "level" : "intermediate" }, { "name" : "ETL processes", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" } ], "majorSkills" : "Data Science, Data Engineering, Machine Learning, Business Intelligence", "majorSkillsList" : [ "Data Science", "Data Engineering", "Machine Learning", "Business Intelligence" ], "coreResponsibilities" : "Develop and implement data models, Build and maintain data pipelines, Design and deploy machine learning models, Create and manage BI dashboards, Perform complex data analysis, Collaborate with stakeholders to define data requirements, Ensure data quality and integrity, Optimize data infrastructure for performance and scalability, Stay updated on emerging data technologies", "teamCollaboration" : "Cross-functional teams; 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, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.98 }, { "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. 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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, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "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, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c69b574d8ee00a0908e96", "title" : "Senior Associate, Data & AI Advisory", "company" : "Aprio", "industry" : "Technology Advisory", "salary" : { "min" : 115000.0, "max" : 155000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline data for a Senior Associate, Data & AI Advisory in Atlanta, adjusted for consulting industry and seniority." }, "location" : "Atlanta, GA", "locations" : [ "Atlanta, GA" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-15T21:26:58.857", "fingerprint" : "f0223e421372dc77c2d2f1e9a42c34d162209e133f5293febd4ee698610aff5c", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/Aprio/c340a3f0-9970-496b-8267-9d18dfac6a88/apply", "externalId" : "c340a3f0-9970-496b-8267-9d18dfac6a88", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Atlanta", "state" : "Georgia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "33.7544657,-84.3898151" } ], "locationText" : "Atlanta, Georgia, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, Python, R, AWS, Azure, GCP, Tableau, Power BI, Snowflake, BigQuery, Redshift, Databricks, Dbt, Airflow, Scikit-learn, TensorFlow, PyTorch, MLflow, Spark", "professionalSkills" : [ "Data analysis", "Data modeling", "Statistical analysis", "Experimental design", "MLOps practices", "Data pipeline orchestration", "Business intelligence", "Data visualization", "Quantitative analysis", "Advisory services" ], "hardSkillsList" : [ "Data analytics", "Data engineering", "Machine learning", "AI", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Statistical methods", "ML frameworks", "BI platforms", "Cloud data stacks", "Modelling skills", "Query languages", "Scripting languages", "Data warehousing", "Data pipeline", "MLOps", "Data modeling", "A/B testing", "Causal inference" ], "hardSkills" : [ { "name" : "Data analytics", "level" : "intermediate" }, { "name" : "Data engineering", "level" : "intermediate" }, { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "AI", "level" : "intermediate" }, { "name" : "Business intelligence", "level" : "intermediate" }, { "name" : "Analytics engineering", "level" : "intermediate" }, { "name" : "Quantitative analysis", "level" : "intermediate" }, { "name" : "Statistical methods", "level" : "intermediate" }, { "name" : "ML frameworks", "level" : "intermediate" }, { "name" : "BI platforms", "level" : "intermediate" }, { "name" : "Cloud data stacks", "level" : "intermediate" }, { "name" : "Modelling skills", "level" : "intermediate" }, { "name" : "Query languages", "level" : "intermediate" }, { "name" : "Scripting languages", "level" : "intermediate" }, { "name" : "Data warehousing", "level" : "intermediate" }, { "name" : "Data pipeline", "level" : "intermediate" }, { "name" : "MLOps", "level" : "intermediate" }, { "name" : "Data modeling", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" } ], "majorSkills" : "Data Science, Data Engineering, Machine Learning, Business Intelligence", "majorSkillsList" : [ "Data Science", "Data Engineering", "Machine Learning", "Business Intelligence" ], "coreResponsibilities" : "Develop and implement data-driven solutions, Build and maintain data pipelines, Design and deploy machine learning models, Create and manage business intelligence dashboards, Perform quantitative analysis and statistical modeling, Collaborate with clients to understand data needs, Provide advisory services on data strategy and implementation, Stay current with emerging trends in data science", "teamCollaboration" : "Cross-functional teams; Client stakeholders", "toolProficiency" : [ "SQL", "Python", "R", "Tableau", "Power BI", "Snowflake", "BigQuery", "Redshift", "Databricks", "Dbt", "Airflow", "Scikit-learn", "TensorFlow", "PyTorch", "MLflow", "Spark" ], "communicationSkills" : "Client presentations; Technical documentation", "documentationSkills" : "Technical documentation", "problemSolvingSkills" : "Data-driven decision making; Root cause analysis", "qualificationsBasic" : "5+ years of experience in data analytics or related field, Proficiency in SQL, Bachelor's degree in a quantitative field", "qualificationsPreferred" : "Master's degree or PhD preferred, Experience with cloud platforms (AWS, Azure, GCP), Experience with BI tools (Tableau, Power BI), Experience with ML frameworks (scikit-learn, TensorFlow, PyTorch), Experience with data warehousing solutions (Snowflake, BigQuery, Redshift), Experience with data pipeline orchestration tools (Airflow, Prefect), Experience with MLOps practices, Experience with data modeling techniques, Experience with statistical analysis and experimental design (A/B testing), Experience with Python or R for data analysis and modeling", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "## Description Work with a Top 20 CPA and advisory firm that Accounts for Anything. Aprio has 40 U.S. office locations, as well as international office locations and more than 3,200 team members that speak 60+ languages across the globe. By bringing together proven expertise, deep understanding, and strategic foresight for fast-growing industries, Aprio ensures clients are prepared for wherever life or business may take them. Discover a top-rated culture, vast growth opportunities and your next big career move with Aprio. Join Aprio's Advisory team and you will help clients maximize their opportunities. Aprio Advisory Group, LLC is a progressive, fast-growing firm looking for a Senior Associate to join their dynamic team. We are looking for an AI Strategy Senior Associate to join our Data & AI practice within Aprio's Technology Advisory group. In this role, you will help clients move from Data and AI ambition to applied, business-driven solutions: assessing where AI can create value, shaping the roadmap to get there, and building the proof-of-concept solutions and demos that demonstrate it. You will work at the intersection of business strategy, business analysis, and technical execution, partnering with clients across our transformation journey, from Assess & Strategize and Integrate & Modernize through Optimize & Build and Deploy & Scale. This role suits an early-career professional with applied AI experience who wants to stay hands-on with solution development while growing into client-facing advisory work. This position is a heavy in person customer facing role that requires travel and interaction with customers across the US. ## Responsibilities AI strategy and assessment Conduct AI readiness assessments and data maturity evaluations that help clients understand their current capabilities and see where AI and automation can support value creation. Translate business challenges into prioritized Data and AI use cases and help shape transformation roadmaps that align technology investments with client objectives. Research emerging AI capabilities (large language models, machine learning, data management, generative AI, and agentic AI) and explain them in clear, accessible terms for non-technical stakeholders. Solution design and delivery Design and prototype agentic AI solutions across our core solution types: document processing and workflow automation; automated communication and prediction analytics; system integration and data synchronization; real-time external data validation; and business intelligence with work prioritization. Build proof-of-concept solutions and demos that help business teams explore the potential of Data and AI and analytics approaches, applying a structured approach to comparing models and options so recommendations are well-reasoned. Support SOW-based engagement delivery across discovery, kickoff, weekly status, and final delivery, contributing alongside the delivery team. Responsible AI and governance Help clients adopt AI responsibly, sustainably, and compliantly, building appropriate safeguards and monitoring into solution design. Contribute to AI and data governance frameworks that promote responsible, sustainable, and compliant use of AI. Client partnership Act as a bridge between technical and business domains, the role our team calls a Data Translator / Business Engineer, turning technical detail into business value. Partner with business stakeholders to understand their needs and help translate them into data- and AI-driven solutions. Present concepts and findings to business audiences in clear language, including through workshops and working sessions. ## Required Qualifications Bachelor’s or Master’s degree in Computer science, Data Science, Engineering, or a related quantitative field. 3+ years of applied AI, data management, or machine learning experience. Strong internship, research, or academic project work is welcome in place of full-time experience. Hands-on experience building AI or machine learning solutions, including work with large language models, natural language processing (NLP), or agentic AI approaches. Strong programming skills in Python, with experience using modern AI development tools. Ability to move between technical detail and business value, and to communicate clearly with non-technical stakeholders. Strong analytical and problem-solving skills, with a structured, well-tested approach to AI work. ## Preferred Qualifications Experience with agentic or autonomous agent design and AI-assisted development workflows. Exposure to taking AI or machine learning solutions beyond a notebook toward deployment, for example through a major cloud platform, containerization, or basic monitoring, gained via internships, research, or coursework. Exposure to responsible AI practices such as model evaluation, explainability, and fairness or drift checks. Familiarity with business intelligence tools (for example, Power BI or Tableau) and modern data platforms (for example, Snowflake, Databricks, or Spark). Exposure to client business systems and ERPs (NetSuite, QBO/IES, Acumatica, or Sage) is a plus. Interest in client-facing advisory work and a helpful, customer-oriented approach. ## Additional Information Why work for Aprio: Whether you are just starting out, looking to advance into management or searching for your next leadership role, Aprio offers an opportunity to grow with a future-focused, innovative firm. Perks/Benefits we offer for full-time team members: - Medical, Dental, and Vision Insurance on the first day of employment - Flexible Spending Account and Dependent Care Account - 401k with Profit Sharing - 9+ holidays and discretionary time off structure - Parental Leave – coverage for both primary and secondary caregivers - Tuition Assistance Program and CPA support program with cash incentive upon completion - Discretionary incentive compensation based on firm, group and individual performance - Incentive compensation related to origination of new client sales - Top rated wellness program - Flexible working environment including remote and hybrid options What’s in it for you: - Working with an industry leader: Be part of a high-growth firm that is passionate for what’s next. - An awesome culture: Thirty-one fundamental behaviors guide our culture every day ensuring we always deliver an exceptional team-member and client experience. We call it the Aprio Way. This shared mindset creates lasting relationships between team members and with clients. - A great team: Work with a high-energy, passionate, caring and ambitious team of professionals in a collaborative culture. - Entrepreneurship: Have the freedom to innovate and bring your ideas to help us grow to become the CPA firm of choice nationally. - Growth opportunities: Grow professionally in an environment that fosters continuous learning and advancement. - Competitive compensation: You will be rewarded with competitive compensation, industry-leading benefits and a flexible work environment to enjoy work/life balance. EQUAL OPPORTUNITY EMPLOYER Aprio is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race; color; religion; national origin; sex; pregnancy; sexual orientation; gender identity and/or expression; age; disability; genetic information, citizenship status; military service obligations or any other category protected by applicable federal, state, or local law. Aprio, LLP and Aprio Advisory Group, LLC, operate in an alternative business structure, with Aprio Advisory Group, LLC providing non-attest tax and consulting services, and Aprio, LLP providing CPA firm services.", "summaryDescription" : "Senior Associate, Data & AI Advisory at Aprio. Skills: Data Science, Data Engineering, Machine Learning, Business Intelligence. Develop and implement data-driven solutions. Build and maintain data pipelines", "postedDate" : "2026-06-11T14:41:02.850", "createdAt" : "2026-06-11T14:41:02.850", "lastUpdated" : "2026-06-15T21:26:58.857", "ingestTimestamp" : "2026-06-14T21:36:24.223", "mongoId" : "6a2c69b574d8ee00a0908e96", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 115000, "salaryAnnualMax" : 155000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Data analytics", "Data engineering", "Machine learning", "AI", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Statistical methods", "ML frameworks", "BI platforms", "Cloud data stacks", "Modelling skills", "Query languages", "Scripting languages", "Data warehousing", "Data pipeline", "MLOps", "Data modeling", "A/B testing", "Causal inference", "Data Science", "Data Engineering", "Machine Learning", "Business Intelligence", "Data analysis", "Statistical analysis", "Experimental design", "MLOps practices", "Data pipeline orchestration", "Data visualization", "Advisory services", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "SQL", "Python", "R", "Tableau", "Power BI", "Snowflake", "BigQuery", "Redshift", "Databricks", "Dbt", "Airflow", "Scikit-learn", "TensorFlow", "PyTorch", "MLflow", "Spark" ], "skillCount" : 51, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "daysOld" : 4, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Consulting", "llmIndustryConfidence" : 0.95 }, { "id" : "6a30a2b3f292fd229c11ed62", "title" : "Principal, Internal Audit and Advisory", "company" : "Airbnb", "industry" : "Technology", "salary" : { "min" : 156000.0, "max" : 195000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "United States", "locations" : [ "United States" ], "timestamp" : "2026-06-16T11:12:03.584", "fingerprint" : "7f75fb08fbd0ad4a9a9ed532befdac3dca7647d8073818e78c1032a11e6d0740", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://careers.airbnb.com/positions/8008907?gh_jid=8008907", "externalId" : "8008907", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 4, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "professionalSkills" : [ "Risk assessment", "Control design", "Audit execution", "Advisory services" ], "hardSkillsList" : [ "Financial controls", "Compliance frameworks" ], "softSkillsList" : [ "Problem solver" ], "hardSkills" : [ { "name" : "Financial controls", "level" : "intermediate" }, { "name" : "Compliance frameworks", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Problem solver" } ], "majorSkills" : "Internal audit, Advisory services, Risk management", "majorSkillsList" : [ "Internal audit", "Advisory services", "Risk management" ], "coreResponsibilities" : "Plan audit activities, Execute audit activities, Plan advisory activities, Execute advisory activities, Partner with business teams, Provide guidance on risks, Provide guidance on controls, Manage third party resources, Ensure cohesive execution, Ensure collaborative execution, Support dynamic audit identification, Assist in developing audit plan, Assist in executing audit plan, Build business relationships, Develop business relationships, Maintain business relationships, Act as trusted advisor, Collaborate to solve problems, Help solve complex problems, Partner with AirControl disciplines", "teamCollaboration" : "Partner with Executive Team; Partner with Key Stakeholders; Partner with Enterprise Risk team; Partner with External advisors; Partner with Industry advisors; Partner with business teams; Partner with technology partners; Partner with AirControl disciplines; Cross-functionally with stakeholders", "projectManagementSkills" : [ "Project management", "Time management", "Prioritization", "Autonomous execution" ], "domainKnowledge" : "Technology intensive organization; Payments industry regulations; Payments compliance frameworks", "domainList" : [ "technology-intensive-organization", "payments-industry-regulations", "payments-compliance-frameworks" ], "domainSpecificKnowledge" : [ "Technology intensive organization", "Payments industry regulations", "Payments compliance frameworks" ], "communicationSkills" : "Written communication; Verbal communication; Executive communication", "problemSolvingSkills" : "Problem solver; Creative problem solver", "specialRequirements" : "Occasional office work, Attendance at offsites", "qualificationsBasic" : "4+ years managerial experience, 4+ years project management experience, Previous internal audit experience, Ability to work on multiple projects, Ability to prioritize tasks, Ability to work autonomously, Ability to collaborate with stakeholders, Ability to partner with stakeholders, Ability to define projects, Ability to execute projects, Ability to communicate clearly, Ability to communicate persuasively, Ability to communicate up to executive level", "qualificationsPreferred" : "Professional services experience, Risk services experience, Internal audit services experience, External audit services experience, Co-sourced environment experience, Technology intensive companies experience, Platform marketplaces experience, Knowledge of Payments industry regulations, Experience with payments compliance frameworks, Experience with payments compliance programs", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. The Community You Will Join: Audit and Advisory Services is an independent, objective assurance and advisory activity designed to add value, improve the Company’s operations and provide insights into the CFO and Audit Committee of the Board of Directors. We partner closely with the Executive Team, Key Stakeholders, Enterprise Risk team and our network of External/Industry advisors to identify and high impact, meaningful projects across Technology, Operations, Financial and Compliance areas. The Difference You Will Make: The qualified candidate will have broad experience with audit and consulting activities at a technology intensive organization, ideally at a multinational company. Key qualifications for this role is an ability to deliver results and partner with senior levels within the organization in an ever changing, fast-paced environment and drive results. A Typical Day: Plan and execute multiple audit and advisory activities from planning and scoping through report delivery. Partner with business teams to stay up-to-date on new product pipelines and initiatives and provide guidance on risks and controls. Manage third party co-source/consultant resources to ensure cohesive and collaborative execution of audits and advisory projects. Support the dynamic audit identification process and assist in developing and executing the audit plan. Build, develop, and maintain strong business relationships with business and technology partners, acting as a trusted advisor to collaborate and help solve complex problems. Partner closely with other AirControl disciplines, including Enterprise Risk, Global Compliance Services, Data 4+ years of managerial or project management experience Previous internal audit experience is a must. Ability to work on multiple projects simultaneously, demonstrating good time management and the ability to prioritize tasks and work autonomously in a fast-past ever-changing environment. Exceptional ability to effectively collaborate with and partner with key stakeholders globally and cross-functionally Proactive and creative problem solver Strong organizational skills with the ability to define and execute projects Ability to communicate clearly and persuasively through both written and verbal formats up to the executive level (e. g. Chief Financial Officer, VP of Finance, etc.) Must be passionate about Airbnb Additional Considerations: Professional services experience providing risk, internal audit, or external audit services or working in a co-sourced environment is a plus. Experience with technology intensive companies or platform marketplaces is a plus. Knowledge of Payments industry regulations and experience with payments compliance frameworks and programs are a plus. Your Location: This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity. Click here for the up-to-date list of excluded states. This list is continuously evolving, so please check back with us if the state you live in is on the exclusion list If your position is employed by another Airbnb entity, your recruiter will inform you what states you are eligible to work from. Our Commitment To Inclusion & Belonging: Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply. We strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application, please contact us at: reasonableaccommodations@airbnb.com. Please include your full name, the role you’re applying for and the accommodation necessary to assist you with the recruiting process. We ask that you only reach out to us if you are a candidate whose disability prevents you from being able to complete our online application. How We'll Take Care of You: Our job titles may span more than one career level. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits. Pay Range $156,000—$195,000 USD", "summaryDescription" : "Principal, Internal Audit and Advisory at Airbnb. Skills: Internal audit, Advisory services, Risk management. Plan audit activities. 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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. This is not a comprehensive list and other duties may be assigned.", "summaryDescription" : "Senior Analyst / Manager of Data & Analytics at Equinox. Skills: Data analysis, Business intelligence, Data modeling, Data storytelling. Understand business questions. Deliver timely analysis", "postedDate" : "2026-06-15T13:17:44.000", "createdAt" : "2026-06-15T23:44:59.011", "lastUpdated" : "2026-06-16T11:10:30.074", "ingestTimestamp" : "2026-06-15T23:44:59.011", "mongoId" : "6a3055f8f292fd229cf23915", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 100000, "salaryAnnualMax" : 110000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Data modeling", "Dashboarding", "Predictive modeling", "Statistical analysis", "Data pipelines", "Curious", "Problem-solver", "Data analysis", "Business intelligence", "Data storytelling", "Executive presentations", "Manage multiple priorities", "Business performance metrics", "Customer behavior analysis", "Looker", "LookML", "Tableau", "Jupyter Notebooks" ], "skillCount" : 18, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Manager", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Sports & Fitness", "llmIndustryConfidence" : 0.95 }, { "id" : "6a30503ff292fd229ceedf3c", "title" : "Senior Analyst / Manager of Data & Analytics", "company" : "Equinox", "industry" : "Health, Wellness And Fitness", "salary" : { "min" : 100000.0, "max" : 110000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, NY, United States", "locations" : [ "New York", "NY", "United States" ], "timestamp" : "2026-06-16T05:40:25.996", "fingerprint" : "a1ad4d9a00366e1c7ae464d9c051fb28202e96a0de31f1b6f660b3f58f51c488", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/Equinox/744000132200739-senior-analyst-manager-of-data-analytics", "externalId" : "744000132200739", "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" : 0, "experienceMaxYears" : 2, "experienceLevel" : "entry", "technicalSkills" : "SQL, Python, Pandas, Matplotlib, Looker, LookML, Tableau, Jupyter Notebooks, GCP, AWS", "professionalSkills" : [ "Data modeling", "Business intelligence", "Data analysis", "Data storytelling", "Executive-level storytelling" ], "hardSkillsList" : [ "Data modeling", "Dashboarding", "Predictive modeling", "Statistical analysis", "Data pipelines" ], "softSkillsList" : [ "Curious", "Problem-solver" ], "hardSkills" : [ { "name" : "Data modeling", "level" : "intermediate" }, { "name" : "Dashboarding", "level" : "intermediate" }, { "name" : "Predictive modeling", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Data pipelines", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Curious" }, { "name" : "Problem-solver" } ], "majorSkills" : "Data & Analytics, Business Intelligence, Data Modeling, Storytelling", "majorSkillsList" : [ "Data & Analytics", "Business Intelligence", "Data Modeling", "Storytelling" ], "coreResponsibilities" : "Understand business questions, Deliver timely analysis, Surface opportunities for data-driven improvement, Design and maintain dashboards, Monitor key business metrics, Proactively identify trends and performance gaps, Build, optimize, and document LookML models, Support scalable, efficient analysis, Audit existing dashboards and data sources, Identify consolidation opportunities, Diagnose and resolve data issues, Improve data pipelines, Ensure reporting accuracy, Trace issues back to their source, Develop and maintain models that forecast business outcomes, Develop and maintain models that forecast customer behavior, Develop deep familiarity with data landscape, Contribute to long-term data strategy, Build culture of data-driven decision-making", "teamCollaboration" : "Partner with cross-functional teams; Partner with senior stakeholders; Partner with Data Engineering team", "projectManagementSkills" : [ "Manage multiple priorities" ], "domainKnowledge" : "Business performance measurement", "domainList" : [ "business-performance-measurement" ], "domainSpecificKnowledge" : [ "Business performance measurement" ], "toolProficiency" : [ "Looker", "LookML", "Tableau", "Jupyter Notebooks" ], "communicationSkills" : "Translate complex data; Clear recommendations", "documentationSkills" : "Document LookML models", "continuousLearning" : "Professional development opportunities", "problemSolvingSkills" : "Problem-solver; Ambiguous questions", "outcomesObjectives" : "Drive business forward; Make smarter, 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. 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. Deliver timely analysis", "postedDate" : "2026-06-15T13:17:44.000", "createdAt" : "2026-06-15T21:41:34.690", "lastUpdated" : "2026-06-16T05:40:25.996", "ingestTimestamp" : "2026-06-15T21:41:34.690", "mongoId" : "6a30503ff292fd229ceedf3c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 100000, "salaryAnnualMax" : 110000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Data modeling", "Dashboarding", "Predictive modeling", "Statistical analysis", "Data pipelines", "Curious", "Problem-solver", "Data & Analytics", "Business Intelligence", "Data Modeling", "Storytelling", "Business intelligence", "Data analysis", "Data storytelling", "Executive-level storytelling", "Manage multiple priorities", "Business performance measurement", "Looker", "LookML", "Tableau", "Jupyter Notebooks" ], "skillCount" : 21, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Manager", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Sports & Fitness", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2cb0f974d8ee00a09dbb7b", "title" : "Databricks Architect", "company" : "Cuesta Partners", "industry" : "Data & AI Consulting", "salary" : { "min" : 145000.0, "max" : 188000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "Remote US", "locations" : [ "Remote US" ], "certifications" : [ "Databricks certifications" ], "timestamp" : "2026-06-15T09:17:24.807", "fingerprint" : "5d2589d1f2640cb3ca924ceef1e68fd8366cf167aff72a40fe6d5787ea51ba8e", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/cuesta-partners/42b3866c-2c48-4c33-b6dd-93db50521e5d/application", "externalId" : "42b3866c-2c48-4c33-b6dd-93db50521e5d", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 6, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Databricks, AWS, Azure, Spark, PySpark, Spark SQL, Python, SQL, Delta Lake, Unity Catalog, Delta Live Tables, Databricks Workflows, Databricks Jobs, Git, Terraform, GitHub Actions, MLflow", "professionalSkills" : [ "Data engineering", "Cloud architecture", "Consulting", "Professional services", "System design", "Technical leadership", "Client management", "Stakeholder management" ], "hardSkillsList" : [ "ETL", "ELT", "Data modeling", "Data governance", "Access control", "Lineage tracking", "Experiment tracking", "Model registry", "Model deployment", "Observability" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "ETL", "level" : "intermediate" }, { "name" : "ELT", "level" : "intermediate" }, { "name" : "Data modeling", "level" : "intermediate" }, { "name" : "Data governance", "level" : "intermediate" }, { "name" : "Access control", "level" : "intermediate" }, { "name" : "Lineage tracking", "level" : "intermediate" }, { "name" : "Experiment tracking", "level" : "intermediate" }, { "name" : "Model registry", "level" : "intermediate" }, { "name" : "Model deployment", "level" : "intermediate" }, { "name" : "Observability", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "Databricks, Data engineering, Cloud architecture, Consulting", "majorSkillsList" : [ "Databricks", "Data engineering", "Cloud architecture", "Consulting" ], "coreResponsibilities" : "Design Databricks-based solutions, Architect scalable solutions, Lead cloud data platform implementations, Design production pipelines, Build production pipelines, Design ETL/ELT pipelines, Partner with client stakeholders, Understand business needs, Translate needs into solutions, Provide technical leadership, Guide data engineering teams, Implement CI/CD pipelines, Implement IaC for Databricks, Drive collaborative development, Use Git workflows, Use pull requests, Conduct code reviews, Collaborate cross-functionally, Serve as technical point of contact", "teamCollaboration" : "Client stakeholders; Data engineering teams; Analytics teams; Engineering teams; Business teams; Cross-functional teams", "projectManagementSkills" : [ "Agile", "Git workflows", "Pull requests", "Code reviews" ], "domainKnowledge" : "Data lake concepts; Delta Lake; Iceberg; Parquet; Medallion architecture; Agentic AI workflows; Agentbricks; LangChain; Claude agentic workflows", "domainList" : [ "data-lake-concepts", "delta-lake", "iceberg", "parquet", "medallion-architecture", "agentic-ai-workflows", "agentbricks", "langchain", "claude-agentic-workflows" ], "domainSpecificKnowledge" : [ "Data lake concepts", "Delta Lake", "Iceberg", "Parquet", "Medallion architecture", "Agentic AI workflows", "Agentbricks", "LangChain", "Claude agentic workflows" ], "toolProficiency" : [ "Databricks", "Spark", "PySpark", "Spark SQL", "Python", "SQL", "Delta Lake", "Unity Catalog", "Delta Live Tables", "Databricks Workflows", "Databricks Jobs", "Git", "Terraform", "GitHub Actions", "MLflow", "AWS", "Azure" ], "communicationSkills" : "Client presentations; Technical solutions", "continuousLearning" : "Exposure & learning opportunities", "qualificationsBasic" : "6+ years experience, 3+ years Databricks experience, Proficiency in PySpark, Spark SQL, Python, SQL, Deep experience Delta Lake, Unity Catalog, Delta Live Tables, Databricks Jobs, Experience delivering Databricks projects, Understanding of data lake concepts, Experience designing Unity Catalog, Familiarity with medallion architecture, Hands-on Git experience, CI/CD and IaC for Databricks, MLflow experience, Cloud platform experience, Experience in client-facing environments, Experience leading technical projects", "qualificationsPreferred" : "Databricks certifications", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "About Cuesta Partners We are looking for a Databricks Architect to lead the delivery of data engineering solutions in a client-facing environment. This is a hands-on leadership role where you will work directly with clients — including C-level stakeholders — to design, build, and deploy production-grade Databricks platforms. What You’ll Do - Design and architect scalable Databricks-based solutions for enterprise clients. - Lead end-to-end cloud data platform implementations across AWS and/or Azure. - Design and build production pipelines using Databricks Workflows and Spark Declarative Pipelines. - Design scalable ETL/ELT pipelines using Spark, PySpark, and Databricks Workflows. - Partner directly with client stakeholders to understand business needs and translate them into technical solutions. - Provide technical leadership and guidance to data engineering teams. - Implement CI/CD pipelines and infrastructure-as-code for Databricks resources. - Drive collaborative development through Git workflows, pull requests, and code reviews. - Collaborate cross-functionally with analytics, engineering, and business teams. - Serve as the primary technical point of contact for clients, including C-level executives. What We’re Looking For - 6+ years of experience in Data Engineering, Cloud Architecture, or related roles. - 3+ years of hands-on experience with Databricks. - Strong proficiency in PySpark, Spark SQL, Python, and SQL. - Deep experience with Delta Lake, Unity Catalog, Delta Live Tables, and Databricks Jobs. - Proven experience delivering Databricks projects in a consulting or professional services environment. - Strong understanding of data lake concepts and formats (Delta, Iceberg, Parquet, etc.). - Experience designing and managing Unity Catalog for governance, access control, and lineage. - Familiarity with medallion architecture (bronze/silver/gold) patterns. - Hands-on experience with Git version control, pull requests, code reviews, and collaborative development workflows. - CI/CD and infrastructure-as-code for Databricks resources (Terraform, Asset Bundles, GitHub Actions). - MLflow experience: experiment tracking, model registry, deployment, and observability. - Cloud platform experience. - Experience working in client-facing, consulting, or cross-functional environments. - Experience leading technical projects or mentoring engineering teams. Nice to Have - Databricks certifications (Data Engineer Associate or Professional, Machine Learning Associate or Professional, Data Engineer Associate or Professional or ML Engineer Associate or Professional). - Experience with agentic AI workflows, including agents, skills, and tools on the Databricks side (Agentbricks), as well as LangChain and Claude agentic workflows. Benefits: What you’ll gain: - At Cuesta, we value entrepreneurship, humility, diversity, learning, speed, and balance. We provide our team members with: - Constant opportunities for exposure & learning - Flexible working location and enabling personal-life harmony with work - Agency and influence in the company’s total strategy and direction - Collaboration with a high-performing team - Competitive base salary (outlined in this listing) and target bonus of 20-25% - 401k, healthcare benefits, paid time-off, and more!", "summaryDescription" : "Databricks Architect at Cuesta Partners. Skills: Databricks, Data engineering, Cloud architecture, Consulting. Design Databricks-based solutions. 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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 - 2+ 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 Associate, BizOps & Analytics at Jerry. ai. Skills: BizOps, Analytics, Data insights. Define business problems. 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Engineering teams; Product teams; Business stakeholders", "domainKnowledge" : "E-commerce analytics; Customer behavior analysis; Marketing analytics; Supply chain analytics", "domainList" : [ "e-commerce-analytics", "customer-behavior-analysis", "marketing-analytics", "supply-chain-analytics" ], "domainSpecificKnowledge" : [ "E-commerce analytics", "Customer behavior analysis", "Marketing analytics", "Supply chain analytics" ], "toolProficiency" : [ "SQL", "Python", "R", "Spark", "Dbt", "Snowflake", "BigQuery", "Redshift", "Databricks", "Airflow", "Tableau", "Power BI", "Looker", "Scikit-learn", "TensorFlow", "PyTorch" ], "problemSolvingSkills" : "Data analysis; Troubleshooting; Root cause analysis", "qualificationsBasic" : "5+ years of experience in data engineering or analytics engineering, Proficiency in SQL, Bachelor's degree in Computer Science, Statistics, Mathematics, or related field", "qualificationsPreferred" : "Master's degree or PhD preferred, Experience with cloud data warehouses (Snowflake, BigQuery, Redshift), Experience with data pipeline orchestration tools (Airflow, Prefect), Experience with BI tools (Tableau, Power BI, Looker), Experience with ML frameworks (scikit-learn, TensorFlow, PyTorch), GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified Associate, Dbt Certified Developer", "rawDescription" : "True Classic is hiring a Data & Analytics Engineer to partner in owning our data platform infrastructure and to serve as a key builder connecting our data warehouse to our AI, finance, and business stakeholder teams. This role will support core analytics engineering functions, ensuring clean, well-structured, and reliable data pipelines built to best practice standards. This role is ideal for someone who is hands-on and technically rigorous, with a strong command of data engineering best practices — including pipeline design, data modeling, testing, and documentation — and can contribute meaningfully to a mid-build platform in a fast-paced, evolving environment. All of True Classic’s roles are global and omni-channel, leading designated areas of accountability across all product categories, countries, and sales and marketing channels. This role will have impact across DTC, retail, wholesale, marketplaces, and emerging channels, ensuring strategic alignment and executional rigor across the enterprise. Areas of Accountability Extend & Maintain the Data Platform Build and maintain dbt models following best practices for modularity, testing, documentation, and code quality Contribute to completion of open data model workstreams across inventory, media, and product functions Expand data source connectivity and pipeline coverage across marketing and fulfillment systems Maintain and improve ETL/ELT workflows via Daasity and BigQuery Help monitor and optimize cloud data infrastructure for cost and performance Bridge Data to the Business Deploy and maintain Omni dashboards on top of BigQuery for cross-functional stakeholders Support business KPI tracking by structuring financial data for forecasting, cost modeling, and channel-level P&L Contribute to predictive models for demand forecasting, inventory planning, and revenue projections Build and maintain the serving layer that the AI team queries — clean, modeled BigQuery tables in place of direct API calls AI-Augmented Development Use AI coding tools (Claude Code, Cursor, Copilot) daily to write dbt models, debug pipelines, and accelerate development Collaborate with the AI team to ensure the warehouse serves their applications with clean inputs for automation, ML models, and real-time ops tools Identify opportunities where AI can automate data quality checks, anomaly detection, and pipeline monitoring Cross Functional Collaboration Work with finance to ensure financial data structures support forecasting and P&L reporting needs Partner with the AI team to ensure warehouse outputs support downstream automation and machine learning applications Work alongside merchandising, operations, and analytics stakeholders to translate business questions into reliable data models and visualizations Qualifications 4+ years of experience in data engineering or analytics engineering Strong understanding of data engineering best practices: pipeline design, data modeling, testing, and documentation Hands-on experience with dbt Cloud, Google BigQuery, and SaaS API pipeline development Strong SQL skills including joins, window functions, and CTEs Python proficiency for pipeline scripting, API integrations, and light modeling Familiarity with statistical modeling and predictive analytics (regression, time series) Comfortable working with non-technical stakeholders to translate business questions into data models and visualizations Proficiency with AI coding tools — daily use expected Preferred Qualifications NetSuite or ERP experience Daasity, Shopify/Amazon data Marketing attribution platforms (Meta CAPI, Google Ads, Triple Whale), Omni/Looker, GitHub-based workflows Workplace Arrangement This role is on-site (5x week in office) based in Calabasas, CA. Compensation and Benefits Compensation Competitive Salary + bonus Time Off Unlimited PTO and sick time Health & Wellness Company-paid medical, dental, and vision insurance $100/month Health & Wellness stipend Free Employee Assistance Program (EAP) Work & Growth Support $100/month Personal Workspace/Office stipend Perks $1,000/year True Classic merchandise allowance 401(k) plan with 3% company match True Classic is proud to be an equal opportunity employer. We celebrate and support differences in race, religion, color, national origin, gender, sexual orientation, gender identity, age, veteran status, and abilities. If you need assistance or accommodation due to a disability, please contact Human Resources. At True Classic, our purpose is simple: empower everyone to look good and feel good. Founded in 2019, we’re a fast-growing apparel brand obsessed with fit, quality, and impact. But we’re building more than great products—we’re building a high-performance team where smart, driven people do meaningful work, move fast, and see the direct results of what they create. Everything we do is guided by the True Classic Operating System (TCOS)—the principles that shape how we work, make decisions, and win together: Move the Needle – Our #1 value and the ultimate filter for decision-making. We focus on delivering tangible, measurable results that drive real business impact. Paint the Picture – We set clear vision and help others see what great looks like. Seek the Truth – We use data, customer insight, and curiosity to guide decisions. Get 1% Better – We continuously improve how we work through strong systems and small wins. Build Leverage – We maximize impact with the right mix of people, tools, automation, and AI. Crush the Challenge – We surface problems early and take ownership to solve them. Go Fast – We take initiative, move with urgency, and bias toward action. Be Creative – We challenge the norm and find better ways to win. Lead with Empathy – We care deeply about our customers and each other. If you thrive in fast-paced environments, take ownership of your work, and want to build something that actually moves the needle—join us and help shape what’s next at True Classic!", "summaryDescription" : "Data & Analytics Engineer at True Classic. Skills: Data Engineering, Analytics Engineering, Machine Learning, Business Intelligence. Design, build, and maintain scalable data pipelines. Develop and optimize data models and schemas", "postedDate" : "2026-06-14T19:16:27.116", "createdAt" : "2026-06-14T19:16:27.116", "lastUpdated" : "2026-06-16T01:02:24.906", "ingestTimestamp" : "2026-06-14T19:16:27.116", "mongoId" : "6a2ca53b74d8ee00a09b550a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 115000, "salaryAnnualMax" : 155000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Data pipeline development", "Database management", "Cloud computing", "Machine learning implementation", "Statistical modeling", "Data visualization", "Data Engineering", "Analytics Engineering", "Machine Learning", "Business Intelligence", "Data modeling", "ETL development", "Data warehousing", "Business intelligence", "Data analysis", "Statistical analysis", "Machine learning", "A/B testing", "Causal inference", "Data governance", "Data quality", "Data architecture", "E-commerce analytics", "Customer behavior analysis", "Marketing analytics", "Supply chain analytics", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "SQL", "Python", "R", "Spark", "Dbt", "Snowflake", "BigQuery", "Redshift", "Databricks", "Airflow", "Tableau", "Power BI", "Looker", "Scikit-learn", "TensorFlow", "PyTorch" ], "skillCount" : 46, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "E-Commerce", "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, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "E-Commerce", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305930f292fd229cf45a2e", "title" : "Associate, BizOps & Analytics", "company" : "Jerry.ai", "industry" : "Data", "salary" : { "min" : 85000.0, "max" : 130000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "New York, New York", "locations" : [ "New York, New York", "Boston, Massachusetts", "Atlanta, Georgia", "Denver, Colorado", "Austin, Texas", "Miami, Florida", "San Francisco Bay Area" ], "timestamp" : "2026-06-16T10:02:42.899", "fingerprint" : "62d85bfed8594804691ebbd3dd3941c788fcb3483399c1ab71653ea11095b341", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/Jerry.ai/214c3e5e-694d-43e1-9077-a7ee20b4acb7/application", "externalId" : "214c3e5e-694d-43e1-9077-a7ee20b4acb7", "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", "technicalSkills" : "Excel, SQL, Python", "professionalSkills" : [ "First principles thinking", "Data analysis", "Problem solving" ], "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, Data insights", "majorSkillsList" : [ "BizOps", "Analytics", "Data insights" ], "coreResponsibilities" : "Define business questions, Define metrics, Build reports, Run analyses, Design experiments, Surface data insights, Bring recommendations to counterparts, Explain business happenings, Explain business reasons, Propose next steps", "teamCollaboration" : "Embedded in business units; Work with product; Work with growth; Work with finance; Work with operations", "domainKnowledge" : "Car ownership management; Insurance; Home ownership management; Motorcycle ownership; RV ownership", "domainList" : [ "car-ownership-management", "insurance", "home-ownership-management", "motorcycle-ownership", "rv-ownership" ], "domainSpecificKnowledge" : [ "Car ownership management", "Insurance", "Home ownership management", "Motorcycle ownership", "RV ownership" ], "toolProficiency" : [ "SQL", "Metabase", "Python", "Jupyter Hub", "GitHub" ], "communicationSkills" : "Write clearly; Speak precisely", "problemSolvingSkills" : "Break ambiguous problems; Formulate hypotheses", "outcomesObjectives" : "Grow to 50M customers; Become $10B business", "qualificationsBasic" : "1+ years consulting experience, 1+ years investment bank experience, 1+ 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, "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 - 1+ 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" : "Associate, BizOps & Analytics at Jerry.ai. Skills: BizOps, Analytics, Data insights. Define business questions. 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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 - 1+ 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" : "Associate, BizOps & Analytics at Jerry.ai. Skills: BizOps, Analytics, Problem solving, Data insights. Define business questions. 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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 - 1+ 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" : "Associate, BizOps & Analytics at Jerry.ai. Skills: BizOps, Analytics, Problem solving. Define business questions. 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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 - 1+ 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" : "Associate, BizOps & Analytics at Jerry. ai. Skills: BizOps, Analytics, Data insights. Define business questions. Define analytical problems", "createdAt" : "2026-06-16T00:26:56.317", "lastUpdated" : "2026-06-16T10:35:12.134", "ingestTimestamp" : "2026-06-16T00:26:56.317", "mongoId" : "6a305098f292fd229cef28f1", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 85000, "salaryAnnualMax" : 130000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Data interpretation", "Data structuring", "Data pulling", "BizOps", "Analytics", "Data insights", "First principles thinking", "Data analysis", "Problem solving", "Car ownership", "Home ownership", "Insurance", "Driving insights", "Diagnostics", "Repair marketplace", "Physical assets", "SQL", "Clickhouse", "Metabase", "Python", "Jupyter Hub", "GitHub" ], "skillCount" : 22, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Junior", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305b67f292fd229cf5d4fc", "title" : "Director, Insights and Analytics", "company" : "Dyne Therapeutics", "industry" : "Biotech", "salary" : { "min" : 190000.0, "max" : 240000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Waltham, Massachusetts, United States", "locations" : [ "Waltham", "Massachusetts", "United States" ], "timestamp" : "2026-06-16T08:31:17.425", "fingerprint" : "59f22a5765c588850e3ab8950630ad9bde5cc8895614c342afcde66b49a10ae1", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/dynetherapeutics/jobs/6020363004", "externalId" : "6020363004", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Waltham", "state" : "Massachusetts", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "42.3762385,-71.2355644" } ], "locationText" : "Waltham, Massachusetts, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Director", "technicalSkills" : "Python, R, SQL, JMP, Spotfire", "professionalSkills" : [ "Statistical analysis", "Data analysis", "Data visualization" ], "hardSkillsList" : [ "Statistical modeling", "Experimental design" ], "hardSkills" : [ { "name" : "Statistical modeling", "level" : "intermediate" }, { "name" : "Experimental design", "level" : "intermediate" } ], "majorSkills" : "Statistical modeling, Data analysis", "majorSkillsList" : [ "Statistical modeling", "Data analysis" ], "coreResponsibilities" : "Analyze experimental data, Develop statistical models, Design experiments, Generate reports, Communicate findings", "teamCollaboration" : "Research and Development teams; Cross-functional teams", "domainKnowledge" : "Biotechnology; Drug discovery", "domainList" : [ "biotechnology", "drug-discovery" ], "domainSpecificKnowledge" : [ "Biotechnology", "Drug discovery" ], "toolProficiency" : [ "JMP", "Spotfire", "R", "Python", "SQL" ], "communicationSkills" : "Written reports; Oral presentations", "documentationSkills" : "Technical documentation", "problemSolvingSkills" : "Data interpretation; Troubleshooting", "qualificationsBasic" : "5+ years experience, Bachelor's degree", "qualificationsPreferred" : "Master's degree preferred, PhD preferred", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Company Overview: Dyne Therapeutics is focused on delivering functional improvement for people living with genetically driven neuromuscular diseases. We are developing therapeutics that target muscle and the central nervous system (CNS) to address the root cause of disease. The company is advancing clinical programs for Duchenne muscular dystrophy (DMD) and myotonic dystrophy type 1 (DM1) as well as a preclinical programs for facioscapulohumeral muscular dystrophy (FSHD) and Pompe disease. At Dyne, we are on a mission to deliver functional improvement for individuals, families and communities. Learn more at https://www.dyne-tx.com/, and follow us on X, LinkedIn and Facebook. Role Summary: The Director, Insights and Analytics leads the generation of actionable market, customer, and data-driven insights to inform commercial strategy and execution across Dyne’s portfolio of assets in clinical development for rare neuromuscular diseases. This role integrates forecasting, market research, competitive intelligence, and advanced analytics to shape strategic decisions, optimize go-to-market planning, and enable organizational alignment. The Director serves as a strategic partner across cross-functional teams, translating complex data into clear, impactful recommendations that drive business outcomes. This role is based in Waltham, MA. Primary Responsibilities Include: Forecasting and Strategic Planning Lead development of long-range global forecasting models and scenario planning tools to project product uptake, access, and revenue Evaluate and enhance forecasting methodologies to improve accuracy, scalability, and agility Synthesize inputs across multiple data sources (e.g., market research, competitive intelligence, analogs) to validate assumptions and inform projections Support long-range planning, lifecycle management, and commercial assessments for pipeline and business development opportunities Partner with commercial operations and finance to guide operational forecasting and annual planning processes (AOP/budgeting) Serve as a strategic advisor to cross-functional stakeholders across Brand, Market Access, Finance, Supply, Trade, and IT Market Research and Insights Generation Design and execute global insights generation plans leveraging primary and secondary market research Manage end-to-end market research processes, including RFP development, vendor selection, and project execution Translate research findings into clear, actionable insights and strategic recommendations for senior leadership Ensure all research activities comply with data governance, privacy standards, and relevant external engagement policies Build strong partnerships with internal stakeholders to align insights with business priorities Competitive Intelligence Lead competitive intelligence strategy and analysis for key therapeutic areas, assessing market dynamics and competitive positioning Oversee execution of competitive intelligence activities, including monitoring, reporting, ad hoc analyses, and congress intelligence Deliver timely, actionable insights to inform go-to-market strategies, product development, and positioning Develop executive-ready materials and briefings to support leadership decision-making Represent the organization as the primary point of contact for competitive intelligence and at key congresses Commercial Data Analytics and Capability Building Expand and optimize the organization’s data ecosystem, including evaluation and integration of new data sources and tools Lead development of dashboards, KPIs, and performance tracking frameworks to enable data-driven decision-making Apply advanced analytics, statistical modeling, and trend analysis to generate insights from internal and external data Translate complex data into compelling narratives and recommendations that influence business action Educate stakeholders on data tools, dashboards, and data literacy to drive adoption and impact Ensure adherence to data governance, compliance, and privacy standards Education and Skills Requirements: Bachelor’s degree required; advanced degree (MBA, PhD, PharmD) preferred 10+ years of experience in forecasting, market research, competitive intelligence, and/or data analytics within biotech or pharmaceutical environments Experience supporting product launches and/or rare disease markets preferred Strong understanding of regulatory and compliance considerations related to market research and data usage in pharma/biotech Demonstrated ability to synthesize complex data and communicate insights clearly to diverse audiences, including senior leadership Exceptional data storytelling skills with expertise in translating insights into impactful presentations and recommendations Proven ability to lead through influence in a cross-functional, matrixed environment Experience managing external vendors, including negotiation, scope management, and performance oversight Strong business acumen with the ability to connect insights to strategic and operational decisions Ability to operate effectively in a fast-paced, dynamic environment while managing multiple priorities Demonstrates high standards of professionalism, integrity, and accountability #LI-Onsite MA Pay Range $190,000—$240,000 USD The pay range reflects the base pay range Dyne reasonably expects to pay for this role at the time of posting. Individual compensation depends on factors such as education, experience, job-related knowledge, and demonstrated skills. The statements contained herein reflect general details as necessary to describe the principles functions for this job, the level of knowledge and skill typically required, and the scope of responsibility, but should not be considered an all-inclusive listing of work requirements. Individuals may perform other duties as assigned, including work in other functional areas to cover absences or relief, to equalize peak work periods or otherwise balance workload. Dyne Therapeutics is an equal opportunity employer and will not discriminate against any employee or applicant on the basis of age, color, disability, gender, national origin, race, religion, sexual orientation, veteran status, or any classification protected by federal, state, or local law.", "summaryDescription" : "Director, Insights and Analytics at Dyne Therapeutics. 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"locationText" : "San Francisco, California, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Director", "technicalSkills" : "SQL, Python, R, Scala, Spark, Dbt, Tableau, ThoughtSpot, Looker, AWS, GCP, Azure, Databricks, BigQuery, Redshift, VertexAI, S3, Delta Lake, MLflow, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face", "professionalSkills" : [ "Data strategy", "Business metrics", "Data governance", "Data products", "Data management", "Data literacy", "Analytics standards", "Metrics definition", "Roadmap development", "Stakeholder management", "Business operations", "Performance optimization", "Revenue growth", "Career development", "Technical excellence", "Business impact", "Data catalog", "Data domains", "Data pipelines", "Data lakes", "Lakehouses", "Self-serve analytics", "Data infrastructure", "AI agents", "Automated insights", "Predictive analytics", "Anomaly detection", "Data residency", "Data mesh", "Data quality", "Data integrity", 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technology", "level" : "intermediate" }, { "name" : "Platform unification", "level" : "intermediate" }, { "name" : "Data processing", "level" : "intermediate" }, { "name" : "Data storage", "level" : "intermediate" }, { "name" : "Terabyte scale", "level" : "intermediate" }, { "name" : "Petabyte scale", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "Data analytics leadership, Analytics platform, Data lifecycle management, Data strategy execution", "majorSkillsList" : [ "Data analytics leadership", "Analytics platform", "Data lifecycle management", "Data strategy execution" ], "coreResponsibilities" : "Drive alignment of analytics standards, Lead high-performing analytics teams, Develop analytics teams, Enable creation of unified data catalog, Design data domains, Manage data domains, Develop data infrastructure platforms, Maintain data infrastructure platforms, Use AI agents for dashboards, Deliver automated insights, Deliver predictive analytics, Deliver anomaly detection, Ensure data governance compliance, Establish data management frameworks, Uphold data quality, Uphold data integrity, Translate data into insights, Enable global KPI metrics dashboard, Champion data management best practices", "teamCollaboration" : "Cross-functional collaboration; Partner with business owners; Partner with data engineering; Partner with data science; Partner with business teams", "projectManagementSkills" : [ "Roadmap development" ], "domainKnowledge" : "Cloud data stacks; Data mesh; Data governance; Data residency; Privacy compliance; Security requirements", "domainList" : [ "cloud-data-stacks", "data-mesh", "data-governance", "data-residency", "privacy-compliance", "security-requirements" ], "domainSpecificKnowledge" : [ "Cloud data stacks", "Data mesh", "Data governance", "Data residency", "Privacy compliance", "Security requirements" ], "toolProficiency" : [ "Tableau", "ThoughtSpot", "Looker", "SQL", "Databricks", "BigQuery", "Redshift", "VertexAI", "AWS", "GCP", "Azure", "S3" ], "communicationSkills" : "Actionable insights; Clear insights", "documentationSkills" : "Governed data dictionary", "innovationCreativity" : "Innovating with emerging data", "problemSolvingSkills" : "Translate business challenges", "outcomesObjectives" : "Accelerate business growth; Deepen product understanding; Deepen membership understanding; Optimize business operations; Drive business decisions; Drive business outcomes; Improve performance; Improve efficiency; Improve revenue; Shape future growth", "qualificationsBasic" : "10+ years leadership, 5+ years managing managers, SQL proficiency, Analytics tools proficiency, AWS/GCP/Azure familiarity, Databricks/BigQuery/Redshift familiarity", "qualificationsPreferred" : "PhD preferred, GCP Professional Data Engineer, AWS Data Analytics, Databricks Certified, Dbt Certified", "workSiteFlexibility" : "Onsite", "rawDescription" : "Our mission at Oura is to empower every person to own their inner potential. Our award-winning products help our global community gain a deeper knowledge of their readiness, activity, and sleep quality by using their Oura Ring and its connected app. We've helped millions of people understand and improve their health by providing daily insights and practical steps to inspire healthy lifestyles. Empowering the world starts with living our values and empowering our team. As a quickly growing company focused on helping people live healthier and happier lives, we ensure that our team members have what they need to do their best work — both in and out of the office. Reporting to the VP of Data Engineering and Analytics, this role is to lead the Data Analytics team to enable global Analytics across Oura. About the Role We are seeking an experienced analytics platform leader as the Director for the Data Analytics team. In this role, you will be responsible for setting the vision and roadmap for the Analytics Data Lifecycle including Business Metrics, Business Glossary, Data Governance, Data Products to accelerate our business growth, deepen our product and membership understanding, and optimize our business operations. The core function is to define and execute the organization’s data strategy to drive business decisions and outcomes by bridging the gap between technical and business stakeholders, transforming data into actionable insights to improve performance, efficiency and revenue. You will lead a talented team of business and data analysts, acting as a player-coach to guide their work and develop their careers. As a key partner to leaders across the Data Engineering and Analytics organization, you will translate complex business challenges into a clear analytical roadmap, ensuring your team delivers accurate, trustworthy, and actionable insights that shape the future of Oura's growth. What You Will Do Vision drive alignment and adoption of analytics standards, metrics, and tools across domains. People leadership: Build, lead, and develop high‑performing analytics teams (including managing managers), acting as a player‑coach and fostering technical excellence and business impact. Data Products: Enable the creation of a unified data catalog. Design, visualize and manage data domains to enable the creation of interoperable, trustworthy data products that can be easily consumed by other domains, often through data pipelines and stores like data lakes or lakehouses. Self-Serve Platform Analytics Platform: Develop and maintain both prepared and self-serve data infrastructure platforms that provide domain teams with the tools and capabilities to create, manage, and consume data products. Use of AI Agents to deliver interactive dashboards with automated insights, predictive analytics, and anomaly detection Global Data Governance, Residency, Data Mesh Privacy: Ensure that our federated data governance of the data mesh and processes meet privacy, compliance, and security requirements. Establish scalable data management and governance frameworks that uphold data quality and integrity in line with industry best practices across multiple regions internationally Translate complex data into clear, actionable insights for stakeholders at all levels. Data Literacy: Enable global KPI metrics dashboard with a governed data dictionary to enable self service Champion best practices in data management of the global unified data mesh to ensure the accuracy, reliability, and trustworthiness of all data What You Have 10+ years of leadership in data/analytics; built high‑performing teams and cloud data platforms; 5+ years managing managers and scaling teams. Proven ability to lead the data lifecycle from definition through delivery; Master delivering measurable business outcomes and actionable insights; passion for data literacy. Experience innovating with emerging data technologies; attracting, developing, and inspiring top data talent. Proficiency with Analytics tools such as Tableau, ThoughtSpot, Looker, SQL, workflow engines, and stream processing. Hands‑on familiarity with AWS/GCP/Azure and Databricks / BigQuery / Redshift. Cross-Functional Collaboration: Experience working closely with the other leaders to ensure a holistic view of the customer journey from purchase to support. Partner with Business Domain Owners, Data Engineering, Data Science and Business teams to advocate for the unified data analytics and data governance best practices to succeed. Build, operate, and improve Oura’s Data lakehouse: Experience building and working with of a global data technology and platform that unifies data across systems to move, process, and store large amounts of data (Terabyte–Petabyte scale) leveraging tools such as Google Big Query, VertexAI, Databricks, Azure, AWS, S3, Spark / Glue, Athena, dbt, Iceberg, Snowflake, Docker, workflow engines, and more. Experience applying AI/ML and predictive analytics to drive efficiency, personalization, and growth. Specifically, AI/LLM Enablement and Readiness: Natural Language Processing (NLP) and Large Language Model (LLM) Design using Retrieval Augmented Generation (RAG), Vector based data architecture and design, Prompt Engineering to enable LLM reporting Experience leading data mesh delivery, management and governance Establish scalable data management and governance frameworks that uphold data quality and integrity in line with industry best practices. Experience leveraging AI, machine learning, and predictive analytics to enhance efficiency, personalization, and business growth Familiarity with some of the following: Tableau, Thoughtspot, Looker, Workflow engines, Stream processing, MLops, Spark, Athena, SQL, dbt, Databricks, Agentic AI. You are self-motivated, proactive, and able to lead and manage your own work effectively A pragmatic and goal oriented approach to development Nice to Have Experience in the healthcare, wellness, consumer electronics, wearables, digital health, or subscription services industries. Data and Platform Architecture, Agentic AI and ML Ops platform experience Security expertise in integrating diverse data sources, including product, transactional, and compliance data Embedded analytics into product, finance, sales, marketing, business operations, and customer experience Ability to navigate hypergrowth while managing regulatory constraints Strong people leader, capable of both strategic leadership and driving execution; experience leading and scaling data and analytics teams north of 10 Strong technical foundation, demonstrated through education or early-career hands-on roles Experience with production-quality AI/ML, predictive modeling, and leveraging analytics tools like VertexAI, MLOps, MLFlow, dbt, Microstrategy, Tableau, and Power BI, Thoughtspot Experience leading the development of a robust and scalable data platform that can support the organization’s growing data needs Advanced degree in Engineering, Data Science, Statistics, Computer Science, or a related field is preferred Benefits At Oura, we care about you and your well-being. Everyone here at Oura has a ring of their own and we are continually looking to improve employee health. What we offer: Competitive salary and equity packages Health, dental, vision insurance, and mental health resources An Oura Ring of your own plus employee discounts for friends & family 20 days of paid time off plus 13 paid holidays plus 8 days of flexible wellness time off Paid sick leave and parental leave Oura takes a market-based approach to pay, which may vary depending on your location. US locations are categorized into tiers based on a cost of labor index for that geographic area. While most offers will be closer to the starting range, successful candidates' pay will be determined based on job-related skills, experience, qualifications, work location, internal peer equity, and market conditions. These ranges may be modified in the future. Region 1 $226,100 - $266,000 We are not considering candidates residing in the following states: Alaska (AK), Delaware (DE), Iowa (IA), Mississippi (MS), Missouri (MO), Nebraska (NE), South Dakota (SD), West Virginia (WV), and Wisconsin (WI) Oura is proud to be an equal opportunity workplace. We celebrate diversity and are committed to creating an inclusive environment for all employees. Individuals seeking employment at Oura are considered without regard to age, ancestry, color, gender (including pregnancy, childbirth, or related medical conditions), gender identity or expression, genetic information, marital status, medical condition, mental or physical disability, national origin, protected family care or medical leave status, race, religion (including beliefs and practices or the absence thereof), sexual orientation, military or veteran status, or any other characteristic protected by federal, state, or local laws. We will not tolerate discrimination or harassment based on any of these characteristics. We will work to ensure individuals with disabilities are provided reasonable accommodation to participate in the interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Disclaimer: Beware of fake job offers! We’ve been alerted to scammers posing as ŌURA recruiters, especially for remote roles. Please note: Our jobs are listed only on the ŌURA Careers page and trusted job boards. We will never ask for personal information like ID or payment for equipment upfront. Official offers are sent through Docusign after a verbal offer, not via text or email. Stay cautious and protect your personal details. To all recruitment agencies: Oura does not accept agency resumes. Please do not forward resumes to our jobs alias, Oura employees, or any other organization's location. Oura is not responsible for any fees related to unsolicited resumes.", "summaryDescription" : "Director, Data Analytics at Ōura. Skills: Data analytics leadership, Analytics platform, Data lifecycle management, Data strategy execution. Drive alignment of analytics standards. Lead high-performing analytics teams", "postedDate" : "2026-06-14T08:44:20.731", "createdAt" : "2026-06-14T08:44:20.731", "lastUpdated" : "2026-06-15T08:42:58.885", "ingestTimestamp" : "2026-06-14T08:44:20.731", "mongoId" : "6a2c934074d8ee00a0987b3d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 220000, "salaryAnnualMax" : 300000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Data analytics", "Data engineering", "Machine learning", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Statistical methods", "ML frameworks", "BI platforms", "Cloud data stacks", "Modelling skills", "Query languages", "Scripting languages", "BI visualization", "Data platforms", "Statistical modeling", "Regression analysis", "Classification analysis", "Clustering analysis", "Time-series analysis", "A/B testing", "Causal inference", "Cloud data services", "Data governance", "Data mesh", "Data quality", "Data integrity", "Data literacy", "Unified data mesh", "Global KPIs", "Data dictionary", "Data catalog", "Data products", "Data domains", "Data pipelines", "Data lakes", "Lakehouses", "Self-serve analytics", "Data infrastructure", "AI agents", "Automated insights", "Predictive analytics", "Anomaly detection", "Data residency", "Data management", "Performance optimization", "Revenue growth", "Career development", "Technical excellence", "Business impact", "Customer journey", "Business domain owners", "Data science", "Unified data analytics", "Data technology", "Platform unification", "Data processing", "Data storage", "Terabyte scale", "Petabyte scale", "Leadership", "Mentoring", "Data analytics leadership", "Analytics platform", "Data lifecycle management", "Data strategy execution", "Data strategy", "Business metrics", "Analytics standards", "Metrics definition", "Roadmap development", "Stakeholder management", "Business operations", "Cross-functional collaboration", "Privacy compliance", "Security requirements", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Tableau", "ThoughtSpot", "Looker", "SQL", "Databricks", "BigQuery", "Redshift", "VertexAI", "AWS", "GCP", "Azure", "S3" ], "skillCount" : 92, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Director", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c8deb74d8ee00a097a497", "title" : "Data Analytics Associate", "company" : "Capricor Therapeutics", "industry" : "Data Science & Solutions", "salary" : { "min" : 75000.0, "max" : 90000.0, "currency" : "USD", "frequency" : "yearly" }, "location" : "San Diego - SD3", "locations" : [ "San Diego - SD3" ], "timestamp" : "2026-06-16T06:06:31.202", "fingerprint" : "a0a4e4d15eb1afba7c149250d33f043b6b870b95c13e295d7669fa43db34c4a5", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/capricor/f29602aa-a7bb-49ef-b998-f1b8efa99c44/apply", "externalId" : "f29602aa-a7bb-49ef-b998-f1b8efa99c44", "industryFunction" : { }, "structuredLocations" : [ { "city" : "San Diego", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "32.7174202,-117.1627720" } ], "locationText" : "San Diego, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "technicalSkills" : "AWS, Git, Python, R, SQL", "hardSkillsList" : [ "Data analysis", "Data integration", "Data cleaning", "Data preprocessing", "Quality control", "Exploratory analysis", "Workflow automation", "Data processing" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Data integration", "level" : "intermediate" }, { "name" : "Data cleaning", "level" : "intermediate" }, { "name" : "Data preprocessing", "level" : "intermediate" }, { "name" : "Quality control", "level" : "intermediate" }, { "name" : "Exploratory analysis", "level" : "intermediate" }, { "name" : "Workflow automation", "level" : "intermediate" }, { "name" : "Data processing", "level" : "intermediate" } ], "majorSkills" : "Data analysis, Data workflows, Data integration", "majorSkillsList" : [ "Data analysis", "Data workflows", "Data integration" ], "coreResponsibilities" : "Assist with development, execution, and maintenance of analytical, Work with biological, analytical assay, and research datasets, Perform data extraction, cleaning, harmonization, integration, and troubleshooting, Support RNA-seq and proteomics data preprocessing, quality control,, Support generation of figures, tables, summaries, and technical, Maintain organized, traceable, and reproducible analytical workflows, datasets,, Support maintenance and organization of cloud, database, and, Assist with workflow automation, cloud computing, and data, Investigate data inconsistencies, missing information, and technical issues", "teamCollaboration" : "Cross-functional teams; R&D; Manufacturing; Quality; Data Science personnel", "domainKnowledge" : "Transcriptomics; Proteomics; Cell therapy; Exosome therapy; Rare diseases; Biotechnology; Regulated laboratory/manufacturing environments", "domainList" : [ "transcriptomics", "proteomics", "cell-therapy", "exosome-therapy", "rare-diseases", "biotechnology", "regulated-laboratory-manufacturing-environments" ], "domainSpecificKnowledge" : [ "Transcriptomics", "Proteomics", "Cell therapy", "Exosome therapy", "Rare diseases", "Biotechnology", "Regulated laboratory/manufacturing environments" ], "toolProficiency" : [ "AWS", "Git" ], "communicationSkills" : "Technical documentation", "documentationSkills" : "Technical documentation", "problemSolvingSkills" : "Problem-solving skills", "qualificationsBasic" : "MS or PhD degree in Bioinformatics, Data Science, Statistics, Computational Biology, Biology, or related relevant industry experience may be considered in place of an advanced degree, Experience with R or Python for data analysis, Basic understanding of statistical analysis and data visualization", "qualificationsPreferred" : "Experience with SQL and cloud platforms (AWS) is a plus, Familiarity with biotechnology or regulated laboratory/manufacturing environments is a plus, Experience with structured datasets, databases, or version control systems (e. g. , Git) is a plus", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "## Description Capricor Therapeutics (NASDAQ: CAPR) is a biotechnology company dedicated to advancing transformative cell and exosome-based therapies for rare diseases. At the forefront of our innovation is Deramiocel (CAP-1002), our lead cell therapy in late-stage development for Duchenne muscular dystrophy. We are also harnessing our proprietary StealthX™ exosome platform to unlock new possibilities in targeted delivery and vaccinology. Every program reflects our commitment to pushing the boundaries of science and delivering life-changing treatments to patients and families who need them most. The Data Science & Solutions team is seeking a junior data analytics professional to support research, manufacturing, and analytical data initiatives in a biotechnology environment. ## Responsibilities Assist with development, execution, and maintenance of analytical workflows, scripts, reports, and dashboards Work with biological, analytical assay, and research datasets, including transcriptomics and proteomics data Perform data extraction, cleaning, harmonization, integration, and troubleshooting across multiple data sources and systems Support RNA-seq and proteomics data preprocessing, quality control, and exploratory analyses under guidance from senior scientists Support generation of figures, tables, summaries, and technical documentation for internal reports and presentations Maintain organized, traceable, and reproducible analytical workflows, datasets, and supporting documentation in accordance with internal procedures and SOPs Support maintenance and organization of cloud, database, and shared data storage environments Assist with workflow automation, cloud computing, and data processing activities using tools such as AWS, Git, and scripting languages Investigate data inconsistencies, missing information, and technical issues related to analytical datasets and reporting Collaborate with cross-functional teams including R&D, Manufacturing, Quality, and Data Science personnel ## Preferred Qualifications MS or PhD degree in Bioinformatics, Data Science, Statistics, Computational Biology, Biology, or related field; relevant industry experience may be considered in place of an advanced degree. Experience with R or Python for data analysis Familiarity with transcriptomics, RNA-seq, or proteomics datasets Basic understanding of statistical analysis and data visualization Experience with SQL and cloud platforms (AWS) is a plus Familiarity with biotechnology or regulated laboratory/manufacturing environments is a plus Experience with structured datasets, databases, or version control systems (e.g., Git) is a plus Strong organizational, communication, and problem-solving skills Strong attention to detail and ability to manage multiple tasks/projects ## Additional Information Why Capricor? Capricor Therapeutics, a trailblazer in cell and exosome therapy, is dedicated to redefining standards of care with innovative treatments rooted in scientific excellence. Guided by integrity and a passion for patient-centered impact, our team is shaping a brighter future for healthcare. Join us and contribute to a mission-driven group that’s transforming lives with every breakthrough. Come Work With Us! At Capricor, you’ll thrive in a collaborative environment that nurtures your professional growth and innovation. Join a dedicated team fueled by a passion for advancing medical science and transforming patient lives through our cutting-edge therapies. Please note that Capricor does not use Skype for interviews or recruiting activities. Candidates will only be contacted by an official Capricor email address which is @capricor.com. Additionally, Capricor will never ask potential employees to send a check or money to the Company for any reason. Notice to Recruiting Agencies Capricor Therapeutics does not accept candidate submissions or referrals from recruiting agencies, staffing firms, or third-party recruiters without expressed consent from Talent Acquisition management and a prior written agreement. Agencies that contact hiring managers directly, solicit business, or submit candidates without this approval will not be considered for any engagement. All such submissions become the property of Capricor Therapeutics, and no fees will be paid for any candidates hired as a result. We appreciate your cooperation and respect for this policy.", "summaryDescription" : "Data Analytics Associate at Capricor Therapeutics. Skills: Data analysis, Data workflows, Data integration. Assist with development, execution, and maintenance of analytical. Work with biological, analytical assay, and research datasets", "postedDate" : "2026-06-11T16:47:18.911", "createdAt" : "2026-06-11T16:47:18.911", "lastUpdated" : "2026-06-16T06:06:31.202", "ingestTimestamp" : "2026-06-14T21:26:08.930", "mongoId" : "6a2c8deb74d8ee00a097a497", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 75000, "salaryAnnualMax" : 90000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Data analysis", "Data integration", "Data cleaning", "Data preprocessing", "Quality control", "Exploratory analysis", "Workflow automation", "Data processing", "Data workflows", "Transcriptomics", "Proteomics", "Cell therapy", "Exosome therapy", "Rare diseases", "Biotechnology", "Regulated laboratory/manufacturing environments", "AWS", "Git" ], "skillCount" : 18, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Junior", "dataQualityScore" : 1.0, "daysOld" : 4, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Biotech", "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, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Government", "llmIndustryConfidence" : 0.95 } ], "status" : 200, "message" : "in senior associate databricks data and analytics advisory pune jobs", "metadata" : { "title" : "in senior associate databricks data and analytics advisory pune" }, "pagination" : { "page" : 0, "limit" : 50, "totalCount" : 130071, "totalPages" : 2602, "hasNext" : true, "hasPrevious" : false } }

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