{ "count" : 88319, "data" : [ { "id" : "6a30a1e0f292fd229c116bc7", "title" : "Senior Systems Engineer, Commercial Intelligence and Analytics", "company" : "The Trade Desk", "salary" : { "min" : 103200.0, "max" : 189200.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Los Angeles", "locations" : [ "Los Angeles" ], "timestamp" : "2026-06-16T11:28:25.573", "fingerprint" : "d7e262297b8635fe92de83a9e768ba73a30f8a99e9e2492dc5e8510de2d3073a", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/thetradedesk/jobs/5165087007", "externalId" : "5165087007", "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", "remoteFriendly" : false, "rawDescription" : "The Trade Desk is a global technology company and the world’s leading independent platform for digital advertising, with nearly 4,000 employees across more than 30 offices. Our technology helps advertisers reach the right audiences across the open internet — from streaming TV and podcasts to mobile apps, news, and more. Advertising powers the content people love. By making it more transparent, effective, and responsible, we help support trusted journalism, quality entertainment, and creators worldwide. The world’s brands and agencies rely on us to reach their customers and grow their businesses responsibly. The scale of our platform brings unique technical challenges — from processing massive datasets in real time to building systems that operate reliably on a global scale. When you work here, your impact is worldwide. We welcome diverse perspectives, encourage curiosity, and build teams that learn from one another. If you’re driven to solve meaningful challenges, we’d love to meet you. We are seeking a Senior Systems Engineer, Commercial Intelligence and Analytics to build high-impact analytical systems supporting TTD’s cross-functional teams, with a focus on Sales and Client Services. This role sits at the intersection of commercial analytics, applied intelligence, and go-to-market execution. You will identify system gaps, design solutions, and ship scalable data systems, insight pipelines, and automated workflows that support a broad set of internal stakeholders. Working across Commercial Operations, Revenue Operations, Business Technology, Finance, and related teams, you will help translate analysis into proactive signals that improve prioritization, decision-making, and field execution. This role owns the engineering lifecycle of intelligence systems from requirements and architecture through deployment, monitoring, and iteration. You will work closely with other teams to deliver clear, trusted, and actionable intelligence that improves seller focus, client outcomes, and the overall client experience at TTD. What we do Commercial Operations is composed of closely connected functions that help TTD grow revenue in a disciplined, scalable, and data-driven way. Across these teams, we improve visibility, standardize key metrics, strengthen decision support, and help client-facing teams act with greater precision and consistency. Within this organization, Commercial Intelligence and Analytics turns commercial, product, and client data into insight products that support internal teams and improve how TTD serves, grows, and retains clients. We build data pipelines, signal frameworks, and decision-support systems that help Sales and Client Services teams understand portfolio health, prioritize effort, identify risk and opportunity earlier, and engage clients more effectively. Our work spans scalable reporting infrastructure, proactive signal delivery, and AI-assisted workflows that operationalize intelligence into durable, production-grade systems. Core mission The Senior Systems Engineer owns the design, development, and reliability of intelligence systems from requirements through production. This includes identifying where systems, automation, or infrastructure improvements can unlock better decision support. It also includes architecting insight pipelines, defining technical requirements, and building and deploying scalable solutions. The systems you build should be trusted, understandable, and useful. Success in this role is measured by the durability, reliability, and impact of the systems you ship. What you'll work with Python, SQL, Snowflake, Tableau, Git/GitLab (CI/CD), LLM APIs, Docker, Jira, Confluence What you'll do Own and maintain the production systems that surface revenue performance, portfolio health, renewal dynamics, client opportunity, and service risk so internal teams can act on the right priorities with confidence. Design, build, and operate proactive insight pipelines, translating recurring business needs into system architecture, data models, signal logic, and production-ready outputs so intelligence can be delivered consistently at scale. Work directly with Business Technology and Revenue Operations to integrate intelligence outputs into dashboards, alerting systems, and operational workflows so signals reach users through the tools where decisions are made. Build and deploy tools, signals, and automated deliverables that help teams prioritize effort, identify risk and opportunity, and act with greater precision so commercial resources are directed where they matter most. Build trusted, production-grade data assets and pipelines using SQL, Python, validated metrics, and well-documented logic so downstream systems remain reliable, explainable, and maintainable. Integrate AI and LLM capabilities into systems and workflows to accelerate exploration, automate documentation, detect anomalies, and improve pipeline quality so teams can move faster without sacrificing rigor. Translate ambiguous commercial problems into concrete technical plans, stakeholder-aligned requirements, and measurable deliverables. Identify and prioritize scalable system investments that are actionable and likely to drive broad commercial impact. Embed intelligence outputs into go-to-market systems and instrument delivery to assess whether signals reach the right users, inform action, and improve outcomes. Raise the team’s engineering bar through rigorous documentation, automated testing, metric governance, and repeatable, version-controlled workflows. Required qualifications 5+ years of experience in analytics engineering, data engineering, software engineering, or a similarly systems-oriented role with strong quantitative foundations. Strong SQL skills and experience working with large, complex datasets in modern data environments. Proficiency in Python for building production systems, automation, and data pipeline development. Strong foundation in software development practices including version control (Git), code review, testing, and CI/CD pipelines. Experience translating business requirements into technical designs, system architecture, and production-ready deliverables. Experience building durable, automated systems rather than relying on ad hoc or manual processes. Demonstrated track record of identifying opportunities, proposing solutions, and independently driving systems, automation or technical initiatives from concept through adoption, often in ambiguous or loosely defined environments. Experience operating in technical environments while collaborating with a broad set of internal stakeholders, including client-facing teams. Familiarity with AI- or LLM-assisted tools and strong judgment in applying them responsibly and validating outputs to ensure accuracy, rigor, and reliability. Strong written and verbal communication skills, including the ability to explain findings and tradeoffs clearly to a range of stakeholders. Strong attention to data quality, metric consistency, and engineering rigor. Preferred qualifications Experience supporting Sales, Client Services, Revenue Operations, or other go-to-market teams in analytically rigorous environments. Experience deploying proactive signals, recommendations, or decision-support systems into production environments. Experience building and maintaining production data pipelines or ETL/ELT systems. Familiarity with advertising technology, digital media, measurement, or platform-based commercial models. Experience working in high-growth, data-intensive organizations where analytics support multiple stakeholders and workflows. Experience with Salesforce, planning tools, product telemetry, and enterprise data platforms such as Snowflake or Databricks. #LI-JS1 The Trade Desk does not accept unsolicited resumes from search firm recruiters. Fees will not be paid in the event a candidate submitted by a recruiter without an agreement in place is hired; such resumes will be deemed the sole property of The Trade Desk. The Trade Desk is an equal opportunity employer. All aspects of employment will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law. [LA JOBS ONLY] The Trade Desk will consider qualified applicants with criminal histories for employment in a manner consistent with the requirements of the Los Angeles Fair Chance Initiative for Hiring, Ordinance No. 184652. [SF JOBS ONLY] Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. In accordance with various US state laws, the range provided is the Trade Desk's reasonable estimate of the base compensation for this role. The actual amount may differ based on non-discriminatory factors such as experience, knowledge, skills, and location. All employees may be eligible to become The Trade Desk shareholders through eligibility for stock-based compensation grants, which are awarded to employees based on company and individual performance. The Trade Desk also offers other compensation depending on the role such as variable compensation-based incentives and commissions. Plus, expected benefits for this role include comprehensive healthcare (medical, dental, and vision) with premiums paid in full for employees and dependents, retirement benefits such as a 401k plan and company match, short and long-term disability coverage, basic life insurance, well-being benefits, reimbursement for certain tuition expenses, parental leave, sick time of 1 hour per 30 hours worked, vacation time for full-time employees up to 120 hours thru the first year and 160 hours thereafter, and around 13 paid holidays per year. Employees can also purchase The Trade Desk stock at a discount through The Trade Desk’s Employee Stock Purchase Plan. The Trade Desk also offers a competitive benefits package. Click here to learn more. Note: Interns are not eligible for variable incentive awards such as stock-based compensation, retirement plan, vacation, tuition reimbursement or parental leave At the Trade Desk, Base Salary is one part of our competitive total compensation and benefits package and is determined using a salary range. The base salary range for this role is $103,200—$189,200 USD As an Equal Opportunity Employer, The Trade Desk is committed to creating an inclusive hiring experience where everyone has the opportunity to thrive. Please reach out to us at accommodations@thetradedesk.com to request an accommodation or discuss any accessibility needs you may require to access our Company Website or navigate any part of the hiring process. When you contact us, please include your preferred contact details and specify the nature of your accommodation request or questions. Any information you share will be handled confidentially and will not impact our hiring decisions.", "summaryDescription" : "Senior Systems Engineer, Commercial Intelligence and Analytics at The Trade Desk", "postedDate" : "2026-06-16T03:17:19.808", "createdAt" : "2026-06-16T03:17:19.808", "lastUpdated" : "2026-06-16T11:28:25.573", "ingestTimestamp" : "2026-06-16T03:17:19.808", "mongoId" : "6a30a1e0f292fd229c116bc7", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 103200, "salaryAnnualMax" : 189200, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 924.13336, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305750f292fd229cf37c37", "title" : "Senior Business Intelligence Analyst – Product Analytics", "company" : "ZoomInfo Technologies LLC", "industry" : "Technology", "salary" : { "min" : 85000.0, "max" : 135000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Business Intelligence Analyst in Bulgaria, adjusted for the SaaS industry and remote work." }, "location" : "Remote", "locations" : [ "Remote" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T07:46:55.942", "fingerprint" : "5f805319f5556283dd8f227f06ff5eddef1b3cfa6b34cf8b1616ae9d9b91e93d", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.zoominfo.com/careers?gh_jid=8561605002", "externalId" : "8561605002", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "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, S3, Glue, SageMaker, Athena, GCP, Vertex AI, Azure, Synapse, ML Studio", "professionalSkills" : [ "Product analytics", "Business intelligence", "Data engineering", "Quantitative analysis", "Statistical methods", "ML frameworks", "BI platforms", "Cloud data stacks", "Modelling skills" ], "hardSkillsList" : [ "Data modeling", "Statistical analysis", "Machine learning", "Data warehousing", "ETL processes", "Data visualization", "A/B testing", "Causal inference" ], "hardSkills" : [ { "name" : "Data modeling", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "Data warehousing", "level" : "intermediate" }, { "name" : "ETL processes", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" } ], "majorSkills" : "Product analytics, Business intelligence, Data science, Data engineering", "majorSkillsList" : [ "Product analytics", "Business intelligence", "Data science", "Data engineering" ], "coreResponsibilities" : "Develop and maintain BI dashboards, Build and optimize data pipelines, Perform complex data analysis, Collaborate with product managers, Identify key product metrics, Drive data-informed product decisions, Communicate findings to stakeholders, Develop and implement A/B tests", "teamCollaboration" : "Cross-functional teams; Product managers; Engineering teams; Stakeholders", "domainKnowledge" : "Product analytics; Data science; Data engineering; Machine learning; Business intelligence; Cloud data platforms; Statistical modeling", "domainList" : [ "product-analytics", "data-science", "data-engineering", "machine-learning", "business-intelligence", "cloud-data-platforms", "statistical-modeling" ], "domainSpecificKnowledge" : [ "Product analytics", "Data science", "Data engineering", "Machine learning", "Business intelligence", "Cloud data platforms", "Statistical modeling" ], "toolProficiency" : [ "Tableau", "Power BI", "Looker", "Metabase", "Superset", "Qlik", "MicroStrategy" ], "communicationSkills" : "Stakeholder communication; Data storytelling", "documentationSkills" : "Technical documentation", "problemSolvingSkills" : "Analytical skills; Problem-solving", "outcomesObjectives" : "Drive data-informed product decisions; Identify key product metrics", "qualificationsBasic" : "SQL proficiency, 5+ years of experience", "qualificationsPreferred" : "PhD preferred, GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified certification, Dbt Certified certification", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "ZoomInfo is where careers accelerate. We move fast, think boldly, and empower you to do the best work of your life. You’ll be surrounded by teammates who care deeply, challenge each other, and celebrate wins. With tools that amplify your impact and a culture that backs your ambition, you won’t just contribute. You’ll make things happen–fast. Overview We are seeking a Senior Business Intelligence Analyst to help drive product strategy and execution through analytics, measurement, and actionable insights across Product, Product Leadership, and Engineering. This role is responsible for transforming complex product and business questions into actionable insights, scalable measurement approaches, and trusted analytics that influence product outcomes and business performance. This role focuses on product analytics, customer behavior, product performance, and business outcomes. The successful candidate will help Product and Engineering teams understand what is happening, why it is happening, and what actions should be taken next. The ideal candidate combines strong analytical skills, product thinking, business acumen, intellectual curiosity, and a bias toward action. They are comfortable navigating evolving business needs, quickly learning new domains, and applying data to solve complex product and customer challenges. They will independently own analytics initiatives from problem definition through recommendation while helping evolve how analytics supports Product and Engineering organizations. You will operate with a high degree of autonomy and influence, partnering closely with Product Managers, Product Leadership, Engineering, Data Engineering, and Business Intelligence teams to ensure product investments are measurable, impactful, and aligned with business objectives. What You'll Do Product Analytics Ownership • Partner with Product Managers and Engineering leaders to understand customer workflows, product experiences, user behaviors, and business objectives, using data to drive product strategy and decision-making. • Develop a deep understanding of customer workflows, product experiences, and user behaviors to identify opportunities for improved adoption, engagement, retention, and value realization. • Define success metrics and measurement plans for product launches, features, and strategic initiatives. • Develop and refine KPIs and measurement frameworks that align teams around product and business performance. • Partner with Product and Engineering teams to define event tracking requirements and ensure product telemetry supports meaningful measurement and analysis. • Quantify opportunity size and help Product teams prioritize investments based on expected customer value, business impact, and strategic objectives. • Support product teams throughout the product lifecycle, from opportunity identification and prioritization through launch and post-release evaluation. Analytics Execution & Insight Generation • Conduct deep-dive analyses to identify trends, opportunities, risks, and root causes. • Translate complex business questions into actionable insights and recommendations. • Design, analyze, and communicate results from experiments, feature launches, and product initiatives, evaluating customer and business impact. • Identify and quantify opportunities to improve product experiences, customer engagement, retention, and business outcomes through data-driven analysis. • Evaluate tradeoffs between competing product investments and provide analytical recommendations that support roadmap prioritization. Stakeholder Partnership & Data Storytelling • Act as a trusted analytics partner to Product, Engineering, and Leadership teams. • Present analytical findings and recommendations through clear narratives and effective visualizations. • Influence prioritization and strategic decisions through evidence-based insights. • Communicate complex analytical concepts to both technical and non-technical audiences. Analytics Excellence & Innovation • Partner with Data Engineering and Analytics teams to improve data quality, instrumentation, and accessibility. • Leverage modern analytics and AI-powered tools to accelerate analysis and improve team efficiency. • Contribute to scalable analytics best practices, governance, and continuous improvement across the organization. About You • You think beyond dashboards and reporting, focusing on the business decisions, customer behaviors, and product outcomes behind the data. • You bring strong product and analytical instincts, using customer behavior, product usage patterns, and business outcomes to guide recommendations and influence product decisions. • You are naturally curious, comfortable navigating ambiguity, and able to bring structure and clarity to evolving challenges. • You can move seamlessly between technical analysis, stakeholder discussions, and executive communication. • You operate independently, take ownership of outcomes, and effectively influence stakeholders through sound judgment and analytical rigor. What You Bring • 5+ years of experience in Business Intelligence, Product Analytics, Growth Analytics, or related analytical roles within B2B SaaS or technology organizations. • Demonstrated experience influencing product, business, or operational decisions through analytical insights and recommendations. • Strong SQL skills and experience working with large-scale datasets. Experience with Python or other analytical programming languages is a plus. • Experience partnering with cross-functional teams, including Product Management, Engineering, and Business stakeholders. • Proven ability to define KPIs, build measurement frameworks, and translate complex business questions into actionable analysis and recommendations. • Experience analyzing product adoption, customer behavior, engagement, retention, experimentation, or product performance. • Strong communication and data storytelling skills, with the ability to tailor insights to technical and executive audiences. • Demonstrated experience leveraging AI-powered tools and LLMs to accelerate analytical workflows, automate repetitive tasks, improve research efficiency, enhance data exploration, and generate actionable insights. Success in This Role Means • Product teams consistently use your analyses and recommendations to improve product experiences, customer outcomes, and business performance. • Product teams use your analyses to prioritize roadmap investments, evaluate tradeoffs, and make more informed product decisions. • Product and business metrics are trusted, accurate, clearly defined, and consistently applied across the organization. • Complex product and business questions are translated into clear analytical approaches that drive meaningful action and measurable outcomes. • Product opportunities, launches, and strategic initiatives are supported by clear measurement frameworks and well-defined success criteria. • Product launches, experiments, and strategic initiatives have measurable business impact. • Product decisions are increasingly informed by customer behavior, product usage patterns, and business performance insights. • ZoomInfo gains a deeper understanding of customer behavior, product adoption, engagement, and business performance through your work. Equal Employment Opportunity (EEO) Statement Our company does not discriminate in employment on the basis of race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factor. Actual compensation offered will be based on factors such as the candidate’s work location, qualifications, skills, experience and/or training. Your recruiter can share more information about the specific salary range for your desired work location during the hiring process. We want our employees and their families to thrive. In addition to comprehensive benefits we offer holistic mind, body and lifestyle programs designed for overall well-being. Learn more about ZoomInfo benefits here. Below is the US base salary for this position. Additional compensation such as Bonus, Commission, Equity and other benefits may also apply. $112,840—$177,320 USD About us: ZoomInfo (NASDAQ: GTM) is the Go-To-Market Intelligence Platform that empowers businesses to grow faster with AI-ready insights, trusted data, and advanced automation. Its solutions provide more than 35,000 companies worldwide with a complete view of their customers, making every seller their best seller. ZoomInfo is committed to protecting your privacy when you apply for jobs with us. Please review our Job Applicant Privacy Notice for more details on how we handle your personal information. ZoomInfo may use a software-based assessment as part of the recruitment process. More information about this tool, including the results of the most recent bias audit, is available here. ZoomInfo is proud to be an equal opportunity employer, hiring based on qualifications, merit, and business needs, and does not discriminate based on protected status. We welcome all applicants and are committed to providing equal employment opportunities regardless of sex, race, age, color, national origin, sexual orientation, gender identity, marital status, disability status, religion, protected military or veteran status, medical condition, or any other characteristic protected by applicable law. We also consider qualified candidates with criminal histories in accordance with legal requirements. For Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. ZoomInfo does not administer lie detector tests to applicants in any location.", "summaryDescription" : "Senior Business Intelligence Analyst – Product Analytics at ZoomInfo Technologies LLC. Skills: Product analytics, Business intelligence, Data science, Data engineering. Develop and maintain BI dashboards. Build and optimize data pipelines", "postedDate" : "2026-06-15T23:23:13.490", "createdAt" : "2026-06-15T23:23:13.490", "lastUpdated" : "2026-06-16T07:46:55.942", "ingestTimestamp" : "2026-06-15T23:23:13.490", "mongoId" : "6a305750f292fd229cf37c37", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Data modeling", "Statistical analysis", "Machine learning", "Data warehousing", "ETL processes", "Data visualization", "A/B testing", "Causal inference", "Product analytics", "Business intelligence", "Data science", "Data engineering", "Quantitative analysis", "Statistical methods", "ML frameworks", "BI platforms", "Cloud data stacks", "Modelling skills", "Cloud data platforms", "Statistical modeling", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Tableau", "Power BI", "Looker", "Metabase", "Superset", "Qlik", "MicroStrategy" ], "skillCount" : 31, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "_score" : 870.89685, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2cc34174d8ee00a0a08d68", "title" : "Senior Analyst, Commercial & Analytics", "company" : "Angi", "industry" : "Marketing", "salary" : { "min" : 68000.0, "max" : 90000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : false }, "location" : "Hybrid - Germany - Berlin", "locations" : [ "Hybrid - Germany - Berlin" ], "timestamp" : "2026-06-15T22:14:04.207", "fingerprint" : "7021ad2de92cd7693a1344b3b42bf46c52370386ad76131cf41ae8d9aa03c1a1", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/angi/2c49cb41-7942-41b5-974c-24bde39e221f/application", "externalId" : "2c49cb41-7942-41b5-974c-24bde39e221f", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Berlin", "country" : "Germany", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "52.5173885,13.3951309" } ], "locationText" : "Berlin, Germany", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 6, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, Tableau, Looker, BigQuery", "professionalSkills" : [ "Marketplace strategy", "Pricing strategy", "Promotional strategy", "Quantitative analysis", "Strategic analysis", "Business acumen" ], "hardSkillsList" : [ "Data analysis", "Reporting", "A/B testing", "Process improvement", "Analytical capabilities" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Reporting", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Process improvement", "level" : "intermediate" }, { "name" : "Analytical capabilities", "level" : "intermediate" } ], "majorSkills" : "Commercial strategy, Marketplace analytics, Data insights", "majorSkillsList" : [ "Commercial strategy", "Marketplace analytics", "Data insights" ], "coreResponsibilities" : "Analyze large datasets, Identify trends, Identify patterns, Identify insights, Develop strategic initiatives, Implement strategic initiatives, Develop reports, Maintain reports, Develop dashboards, Maintain dashboards, Develop visualizations, Maintain visualizations, Formulate A/B test frameworks, Identify process improvements, Implement process improvements, Leverage advanced analytical tools, Leverage AI tools, Optimize workflows, Develop recommendations, Deliver recommendations", "teamCollaboration" : "Broader marketing teams; Cross-functional teams; Sales teams; Marketing teams; Finance teams; Operations teams", "projectManagementSkills" : [ "Strategy development", "Project execution" ], "domainKnowledge" : "Two-sided marketplace; Commercial topics; Pricing trends", "domainList" : [ "two-sided-marketplace", "commercial-topics", "pricing-trends" ], "domainSpecificKnowledge" : [ "Two-sided marketplace", "Commercial topics", "Pricing trends" ], "toolProficiency" : [ "Tableau", "Looker", "BigQuery", "SQL" ], "communicationSkills" : "Actionable recommendations; Data-driven insights", "continuousLearning" : "Industry best practices; Emerging pricing trends; Technological advancements", "problemSolvingSkills" : "Interpreting data; Generating qualitative feedback; Evaluating metrics", "outcomesObjectives" : "Optimize customer value; Drive revenue growth; Drive LTV growth; Market expansion; Guide marketplace health", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "For over 30 years, Angi has powered the future of the home services industry, creating an environment where homeowners and pros benefit from more jobs done well. For homeowners, our platform is a reliable way to find skilled pros. For pros, we're a reliable business partner who helps them find the winnable work they want, when they want. For employees, we're an amazing place to call home. We can't wait to welcome you. Angi at a glance: - Founded in 1995 as Angie’s List and rebranded in 2021 - Global company with 9 brands in 8 countries and employees worldwide - Homeowners have turned to us for 300 million home projects and counting About the team: We are seeking a Senior Analyst for our Commercial & Analytics team to drive strategic marketplace, pricing, and promotional decisions that optimize customer value. This team manages marketplace strategy across all brands, focusing on revenue growth and balance. You will lead marketplace initiatives and promotional strategies, partnering across the organization to ensure successful execution through quantitative and strategic analysis. This role reports into the Associate Director, Strategic Analytics and can be based out of any of our 4 office locations: Aix-en-Provence, Amsterdam, Berlin and London. What you’ll do: - Analyze large datasets to identify trends, patterns, and insights that inform business decisions. - Collaborate with broader marketing teams to develop and implement strategic initiatives that drive revenue/LTV growth and market expansion. - Develop and maintain comprehensive reports, dashboards, and visualizations to track key performance indicators (KPIs) that guide marketplace health. - Formulate A/B test frameworks to discern the impact of adjustments/new initiatives on marketplace & other business metrics. - Identify and implement process improvements to enhance data accuracy, reporting efficiency, and overall analytical capabilities. - Leverage advanced analytical tools and AI tools to optimize workflows. - Work closely with cross-functional teams including Sales, Marketing, Finance, and Operations to ensure alignment of commercial strategies with overall business objectives. - Develop and deliver clear, actionable recommendations to senior leadership, accompanied by data-driven insights and rationale. - Stay informed about industry best practices, emerging pricing trends, and technological advancements to continuously improve marketplace growth. Who you are: - 6+ years of professional experience as an analyst/senior analyst, preferably in a two-sided marketplace. - Bachelor's or Master’s degree in Business or a related field, with a strong analytical background. - Demonstrated capability to influence stakeholders and manage projects from strategy development through to successful execution. - Proficiency in data analysis & reporting tools (e.g.Tableau, Looker, and BigQuery/SQL, among others). - Comfortable utilizing AI tools to improve efficiencies and integrate their usage in daily work - Strong analytical skills and good at interpreting data, generating qualitative feedback and evaluating metrics to inform decision-making. - Good business acumen with a strong understanding of commercial topics. - Exceptional organizational skills, capable of managing multiple projects in a fast-paced environment. - Experience in campaign management in a customer centric environment is a plus. - Fluent in English, with strong verbal and written communication skills. Compensation & Benefits: - The salary band for this position ranges from €68,000 - €90,000, commensurate with experience and qualifications. - Hybrid work environment and home office set-up allowance - Temporary work from abroad policy - Regular team and social events", "summaryDescription" : "Senior Analyst, Commercial & Analytics at Angi. Skills: Commercial strategy, Marketplace analytics, Data insights. Analyze large datasets. Identify trends", "createdAt" : "2026-06-14T18:50:03.168", "lastUpdated" : "2026-06-15T22:14:04.207", "ingestTimestamp" : "2026-06-14T18:50:03.168", "mongoId" : "6a2cc34174d8ee00a0a08d68", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Data analysis", "Reporting", "A/B testing", "Process improvement", "Analytical capabilities", "Commercial strategy", "Marketplace analytics", "Data insights", "Marketplace strategy", "Pricing strategy", "Promotional strategy", "Quantitative analysis", "Strategic analysis", "Business acumen", "Strategy development", "Project execution", "Two-sided marketplace", "Commercial topics", "Pricing trends", "Tableau", "Looker", "BigQuery", "SQL" ], "skillCount" : 23, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 819.42285, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2cc34174d8ee00a0a08d53", "title" : "Senior Analyst, Commercial & Analytics", "company" : "Angi", "industry" : "Marketing", "salary" : { "min" : 68000.0, "max" : 90000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : false }, "location" : "Hybrid - France - Aix-en-Provence", "locations" : [ "Hybrid - France - Aix-en-Provence" ], "timestamp" : "2026-06-15T11:59:57.244", "fingerprint" : "e47fe9a41bcc8cd0d72b4b6a0c20f50c7e9e0d296c54f397aa2ea4acef8eea5f", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/angi/82b41972-4cd4-48ad-a18b-4ec273f6b9d2/application", "externalId" : "82b41972-4cd4-48ad-a18b-4ec273f6b9d2", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Aix-en-Provence", "country" : "France", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "43.5298424,5.4474738" } ], "locationText" : "Aix-en-Provence, France", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 6, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, BigQuery, Tableau, Looker", "professionalSkills" : [ "Marketplace strategy", "Pricing strategy", "Promotional strategy", "Revenue growth", "Customer value optimization", "Strategic analysis", "Quantitative analysis", "Business objectives alignment" ], "hardSkillsList" : [ "Data analysis", "Reporting", "Statistical analysis", "Trend identification", "Pattern identification", "Insight generation", "KPI tracking", "Metric evaluation" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Reporting", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Trend identification", "level" : "intermediate" }, { "name" : "Pattern identification", "level" : "intermediate" }, { "name" : "Insight generation", "level" : "intermediate" }, { "name" : "KPI tracking", "level" : "intermediate" }, { "name" : "Metric evaluation", "level" : "intermediate" } ], "majorSkills" : "Commercial analysis, Marketplace analytics, Strategic initiatives, Data-driven recommendations", "majorSkillsList" : [ "Commercial analysis", "Marketplace analytics", "Strategic initiatives", "Data-driven recommendations" ], "coreResponsibilities" : "Analyze large datasets, Identify trends, Identify patterns, Identify insights, Develop strategic initiatives, Implement strategic initiatives, Develop reports, Maintain reports, Develop dashboards, Maintain dashboards, Develop visualizations, Maintain visualizations, Track key performance indicators, Formulate A/B test frameworks, Identify process improvements, Implement process improvements, Enhance data accuracy, Enhance reporting efficiency, Enhance analytical capabilities, Leverage advanced analytical tools, Leverage AI tools, Optimize workflows, Develop recommendations, Deliver recommendations, Stay informed about industry best practices, Stay informed about emerging pricing trends, Stay informed about technological advancements", "teamCollaboration" : "Broader marketing teams; Cross-functional teams; Sales teams; Marketing teams; Finance teams; Operations teams; Senior leadership", "projectManagementSkills" : [ "Strategy development", "Project execution" ], "domainKnowledge" : "Two-sided marketplace; Commercial topics; Pricing trends", "domainList" : [ "two-sided-marketplace", "commercial-topics", "pricing-trends" ], "domainSpecificKnowledge" : [ "Two-sided marketplace", "Commercial topics", "Pricing trends" ], "toolProficiency" : [ "Tableau", "Looker", "BigQuery", "SQL", "AI tools" ], "communicationSkills" : "Verbal communication; Written communication; Actionable recommendations; Data-driven insights", "problemSolvingSkills" : "Interpreting data; Generating qualitative feedback; Evaluating metrics", "outcomesObjectives" : "Optimize customer value; Drive revenue growth; Drive LTV growth; Drive market expansion; Guide marketplace health; Ensure alignment of commercial strategies", "qualificationsBasic" : "6+ years of professional experience, Bachelor's or Master's degree, Proficiency in data analysis & reporting tools, Analytical skills, Good business acumen", "qualificationsPreferred" : "Experience in campaign management, Experience in a two-sided marketplace", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "For over 30 years, Angi has powered the future of the home services industry, creating an environment where homeowners and pros benefit from more jobs done well. For homeowners, our platform is a reliable way to find skilled pros. For pros, we're a reliable business partner who helps them find the winnable work they want, when they want. For employees, we're an amazing place to call home. We can't wait to welcome you. Angi at a glance: - Founded in 1995 as Angie’s List and rebranded in 2021 - Global company with 9 brands in 8 countries and employees worldwide - Homeowners have turned to us for 300 million home projects and counting About the team: We are seeking a Senior Analyst for our Commercial & Analytics team to drive strategic marketplace, pricing, and promotional decisions that optimize customer value. This team manages marketplace strategy across all brands, focusing on revenue growth and balance. You will lead marketplace initiatives and promotional strategies, partnering across the organization to ensure successful execution through quantitative and strategic analysis. This role reports into the Associate Director, Strategic Analytics and can be based out of any of our 4 office locations: Aix-en-Provence, Amsterdam, Berlin and London. What you’ll do: - Analyze large datasets to identify trends, patterns, and insights that inform business decisions. - Collaborate with broader marketing teams to develop and implement strategic initiatives that drive revenue/LTV growth and market expansion. - Develop and maintain comprehensive reports, dashboards, and visualizations to track key performance indicators (KPIs) that guide marketplace health. - Formulate A/B test frameworks to discern the impact of adjustments/new initiatives on marketplace & other business metrics. - Identify and implement process improvements to enhance data accuracy, reporting efficiency, and overall analytical capabilities. - Leverage advanced analytical tools and AI tools to optimize workflows. - Work closely with cross-functional teams including Sales, Marketing, Finance, and Operations to ensure alignment of commercial strategies with overall business objectives. - Develop and deliver clear, actionable recommendations to senior leadership, accompanied by data-driven insights and rationale. - Stay informed about industry best practices, emerging pricing trends, and technological advancements to continuously improve marketplace growth. Who you are: - 6+ years of professional experience as an analyst/senior analyst, preferably in a two-sided marketplace. - Bachelor's or Master’s degree in Business or a related field, with a strong analytical background. - Demonstrated capability to influence stakeholders and manage projects from strategy development through to successful execution. - Proficiency in data analysis & reporting tools (e.g.Tableau, Looker, and BigQuery/SQL, among others). - Comfortable utilizing AI tools to improve efficiencies and integrate their usage in daily work - Strong analytical skills and good at interpreting data, generating qualitative feedback and evaluating metrics to inform decision-making. - Good business acumen with a strong understanding of commercial topics. - Exceptional organizational skills, capable of managing multiple projects in a fast-paced environment. - Experience in campaign management in a customer centric environment is a plus. - Fluent in English, with strong verbal and written communication skills. 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Skills: Data analysis, Threat intelligence. Analyze threat data. 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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. 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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, "_score" : 642.2425, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Sports & Fitness", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305d27f292fd229cf64ca3", "title" : "Director, Commercial Data & Analytics", "salary" : { "min" : 215000.0, "max" : 315000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline data for Director, Commercial Data & Analytics in Pittsburgh, United States, adjusted for seniority, industry, and company size." }, "location" : "Pittsburgh, PA", "locations" : [ "Pittsburgh, PA" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T08:58:26.775", "fingerprint" : "239b5d13a9f8ad2325e126312ec6ec2c468be2128cf124c0378a15ccef164f44", "source" : "jazzhr", "language" : "en", "externalId" : "q2hVx07RFr", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Pittsburgh", "state" : "Pennsylvania", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.4406968,-80.0025666" } ], "locationText" : "Pittsburgh, Pennsylvania, United States", "experienceLevel" : "Director", "technicalSkills" : "SQL, Python, R, Scala, Spark, Dbt, Tableau, Power BI, Looker, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Dbt Cloud, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, GCP, Azure, SageMaker, Vertex AI, ML Studio", "professionalSkills" : [ "Data modeling", "Statistical analysis", "Machine learning", "Business intelligence", "Data engineering", "Quantitative analysis", "Strategic planning", "Team leadership" ], "hardSkillsList" : [ "Data analysis", "Data visualization", "Machine learning modeling", "Statistical modeling", "ETL processes", "Data warehousing", "Cloud data services", "A/B testing", "Causal inference" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" }, { "name" : "Machine learning modeling", "level" : "intermediate" }, { "name" : "Statistical modeling", "level" : "intermediate" }, { "name" : "ETL processes", "level" : "intermediate" }, { "name" : "Data warehousing", "level" : "intermediate" }, { "name" : "Cloud data services", "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" : "Lead commercial data and analytics initiatives, Develop and implement data strategies, Oversee data science and analytics teams, Build and maintain data pipelines, Develop predictive models, Create insightful dashboards and reports, Collaborate with business stakeholders, Drive data-driven decision-making", "teamCollaboration" : "Cross-functional teams; Business stakeholders", "projectManagementSkills" : [ "Agile methodologies" ], "domainKnowledge" : "Commercial analytics; Sales data; Marketing data; Customer data", "domainList" : [ "commercial-analytics", "sales-data", "marketing-data", "customer-data" ], "domainSpecificKnowledge" : [ "Commercial analytics", "Sales data", "Marketing data", "Customer data" ], "toolProficiency" : [ "SQL", "Python", "R", "Spark", "Dbt", "Tableau", "Power BI", "Looker", "Snowflake", "BigQuery", "Redshift", "Databricks", "Airflow", "Scikit-learn", "TensorFlow", "PyTorch", "AWS", "GCP", "Azure" ], "communicationSkills" : "Executive presentations; Stakeholder communication", "documentationSkills" : "Technical documentation", "problemSolvingSkills" : "Data analysis; Root cause analysis", "qualificationsBasic" : "5+ years of experience in data and analytics, Bachelor's degree in a quantitative field, Proficiency in SQL, Experience with data visualization tools", "qualificationsPreferred" : "Master's degree or PhD preferred, Experience with cloud platforms (AWS, GCP, Azure), Experience with ML frameworks (scikit-learn, TensorFlow, PyTorch), Experience with data warehousing solutions (Snowflake, BigQuery, Redshift), Experience with BI platforms (Tableau, Power BI, Looker)", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "summaryDescription" : "Director, Commercial Data & Analytics. Skills: Data Science, Data Engineering, Machine Learning, Business Intelligence. Lead commercial data and analytics initiatives. Develop and implement data strategies", "createdAt" : "2026-06-15T22:21:51.590", "lastUpdated" : "2026-06-16T08:58:26.775", "ingestTimestamp" : "2026-06-15T22:21:51.590", "mongoId" : "6a305d27f292fd229cf64ca3", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 215000, "salaryAnnualMax" : 315000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Data analysis", "Data visualization", "Machine learning modeling", "Statistical modeling", "ETL processes", "Data warehousing", "Cloud data services", "A/B testing", "Causal inference", "Data Science", "Data Engineering", "Machine Learning", "Business Intelligence", "Data modeling", "Statistical analysis", "Machine learning", "Business intelligence", "Data engineering", "Quantitative analysis", "Strategic planning", "Team leadership", "Agile methodologies", "Commercial analytics", "Sales data", "Marketing data", "Customer data", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "SQL", "Python", "R", "Spark", "Dbt", "Tableau", "Power BI", "Looker", "Snowflake", "BigQuery", "Redshift", "Databricks", "Airflow", "Scikit-learn", "TensorFlow", "PyTorch", "AWS", "GCP", "Azure" ], "skillCount" : 49, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Director", "dataQualityScore" : 0.5555556, "_score" : 640.6595, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305a22f292fd229cf4d8aa", "title" : "Commercial Analyst", "company" : "Foodstuffs", "industry" : "Gilmours", "salary" : { "min" : 75000.0, "max" : 105000.0, "currency" : "NZD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Commercial Analyst in Auckland, New Zealand, with adjustments for the retail industry and company size." }, "location" : "Foodstuffs Landing Drive, Mangere, Auckland", "locations" : [ "Foodstuffs Landing Drive, Mangere, Auckland" ], "timestamp" : "2026-06-16T12:15:54.420", "fingerprint" : "cd16c4e3f8b0137045ccc0bfb234398610209281ef8e5f8ba22c4d9300d81783", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/foodstuffs/d709eebb-7dd8-4641-82d1-3221a09a8b38/apply", "externalId" : "d709eebb-7dd8-4641-82d1-3221a09a8b38", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Auckland", "country" : "New Zealand", "continent" : "oc", "source" : "llm", "workMode" : "onsite", "geo" : "-36.8520950,174.7631803" } ], "locationText" : "Auckland, New Zealand", "employmentType" : "FULL_TIME", "professionalSkills" : [ "Financial analysis", "Data interpretation", "Modelling", "Reporting" ], "hardSkillsList" : [ "Category management", "Pricing analysis", "Data cleansing" ], "hardSkills" : [ { "name" : "Category management", "level" : "intermediate" }, { "name" : "Pricing analysis", "level" : "intermediate" }, { "name" : "Data cleansing", "level" : "intermediate" } ], "majorSkills" : "Financial analysis, Data interpretation, Modelling", "majorSkillsList" : [ "Financial analysis", "Data interpretation", "Modelling" ], "coreResponsibilities" : "Deliver financial analysis, Interpret data, Perform modelling, Generate reports, Support strategic projects, Analyse current buying position, Provide analysis for categories, Provide analysis for suppliers, Deliver insights from Customer-Driven project, Optimise range, Cleanse data, Ensure data integrity", "teamCollaboration" : "Working with Buying Leads; Support buying team", "problemSolvingSkills" : "Data interpretation; Pricing analysis; Range optimisation", "outcomesObjectives" : "Deliver insights from project", "qualificationsBasic" : "5+ years experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "## Description Commercial Analyst Ko wai mātou – About us Kia ora.  We’re Foodies.  You know New World, PAK’nSAVE, Gilmours and Four Square right? That’s us! With 300+ stores and over 24,000 Foodies across Te Ika-a-Maui, our North Island Co-op has the privilege of helping New Zealanders get more out of life. Gilmours is 100% NZ Owned and Operated serving thousands of businesses and organisations across the North Island for the food and beverages they need to grow their business. Gilmours is your one-stop Foodservice shop with Butchery, Produce, Chilled & Frozen, Grocery, General Merchandise, Consumables, Beverages and Liquor. Te Tūranga – About the role Working closely with our Buying Leads, you will be focused on delivery of financial analysis, data interpretation, modelling & reporting supporting one of Gilmours key strategic projects! Rolling up your sleeves, you will be submerged into the world of category management which will see you providing crucial analysis of our current buying position for categories and suppliers to our buying team. You will be focused on and delivering: Insights from the Customer-Driven project including range optimisation, pricing, data cleansing and integrity for decision making ", "summaryDescription" : "Commercial Analyst at Foodstuffs. Skills: Financial analysis, Data interpretation, Modelling. Deliver financial analysis. Interpret data", "postedDate" : "2026-06-15T19:58:02.768", "createdAt" : "2026-06-15T19:58:02.768", "lastUpdated" : "2026-06-16T12:15:54.420", "ingestTimestamp" : "2026-06-16T03:21:24.625", "mongoId" : "6a305a22f292fd229cf4d8aa", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Category management", "Pricing analysis", "Data cleansing", "Financial analysis", "Data interpretation", "Modelling", "Reporting" ], "skillCount" : 7, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "_score" : 608.9112, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Retail", "llmIndustryConfidence" : 0.95 }, { "id" : "6a306128f292fd229cf9566e", "title" : "Embedded Intelligence Analyst", "company" : "Sibylline Ltd", "industry" : "Management Consulting", "salary" : { "min" : 52000.0, "max" : 78000.0, "currency" : "SGD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Junior Embedded Intelligence Analyst in Singapore, adjusted for the consulting industry." }, "location" : "Singapore, SG", "locations" : [ "Singapore", "SG" ], "timestamp" : "2026-06-16T09:40:48.835", "fingerprint" : "8ad7aecc2c6a75cc50c08d1dcc1cb7a7fec8ab6bed48c09eb50622843e5f3b6a", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/SibyllineLtd/744000132224179-embedded-intelligence-analyst", "externalId" : "744000132224179", "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" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "G Suite", "professionalSkills" : [ "Risk analysis", "Due diligence", "Strategic risk", "Intelligence analysis", "Research", "Investigations" ], "hardSkillsList" : [ "Data analysis", "Geopolitical analysis", "Security analysis" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Geopolitical analysis", "level" : "intermediate" }, { "name" : "Security analysis", "level" : "intermediate" } ], "majorSkills" : "Intelligence products, Incident management, Open-source intelligence", "majorSkillsList" : [ "Intelligence products", "Incident management", "Open-source intelligence" ], "coreResponsibilities" : "Monitor safety and security, Assist analysts in producing intelligence products, Inform business decision-makers, Support incident management, Engage with stakeholders, Interpret requirements, Provide immediate support, Leverage Sibylline resources, Maintain situational awareness, Collect and analyze information, Detect and assess threats, Determine threat impact, Produce tactical intelligence, Conduct investigations into persons of interest, Write and distribute notifications, Write daily and weekly products, Assist in managing incidents, Assist in managing emergencies, Triage incidents and threats, Monitor company events, Monitor employee safety", "teamCollaboration" : "Cross-functional position; Partner with other teams; Collaborate with corporate stakeholders", "domainKnowledge" : "Security sector; Global security; Geopolitical developments; Social fluency", "domainList" : [ "security-sector", "global-security", "geopolitical-developments", "social-fluency" ], "domainSpecificKnowledge" : [ "Security sector", "Global security", "Geopolitical developments", "Social fluency" ], "communicationSkills" : "Written English; Spoken English", "problemSolvingSkills" : "Analytical flair; Clarity of thought", "qualificationsBasic" : "2+ years relevant work experience, Native-level English proficiency", "qualificationsPreferred" : "Master's degree, Foreign language proficiency", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Sibylline is a leading intelligence and strategic risk consultancy in the security sector. Since 2010 we have supported businesses, governments and NGOs through the provision of high-quality risk analysis, due diligence and consultancy services. The firm provides an innovative, entrepreneurial and fast-growing working environment, offering employees ever greater exposure to high profile clients and challenges. Sibylline offers fantastic opportunities for career progression within a successful company, and we aim to help our employees to build their own personal profiles as well-regarded analysts within the broader industry. Key attributes of Sibylline employees are: * Self-motivated, and auto-improving individuals who can couple initiative and boldness with good judgement * Excellent written and spoken English * Clarity of thought and analytical flair * Strong, demonstrable interest in security and intelligence * The ability to work under pressure, demonstrate leadership when required but also be able to collaborate effectively in teams * Excellent attention to detail Position Summary As an Embedded Intelligence Analyst, you will be responsible for monitoring the safety and security of our client’s employees and assets worldwide, reporting directly to the embedded Team Lead. In this role, you will assist Regional Intelligence Analysts in producing finished intelligence products. These products inform business decision-makers and support incident management for the client’s internal operations. You will also engage directly with stakeholders to interpret requirements, provide immediate support and consulting, and leverage additional resources from the core Sibylline team. This is a cross-functional position that partners closely with other teams and corporate stakeholders. Essential Functions / Responsibilities * Maintaining situational awareness and collecting and analyzing information to ensure the safety and security of our client’s people, buildings, and operations. * Detecting and assessing threats and incidents and determining their impact on our client. * Using open-source intelligence (OSINT) sources and internal databases to produce tactical intelligence. * Using OSINT sources and internal databases to conduct investigations into persons of interest. * Writing and distributing notifications and daily and weekly products. * Assisting in the management of incidents and emergencies at the client’s sites around the globe. * Triaging incidents and threats quickly and effectively. * Monitoring company events and the safety of employees. * Other duties as assigned. Knowledge, Skills, and Abilities * Proven ability to produce high-quality intelligence products under tight deadlines, while maintaining long-term strategic assessments. * Ability to collect intelligence and track threats and geopolitical developments that directly or indirectly impact the client’s assets, personnel, and global interests * Strong analytical and research skills, with native-level English proficiency and the ability to write and edit quickly and accurately. * Deep understanding of global geopolitical, security, and social dynamics; fluency in regional languages is a plus. * Experience working independently and managing sensitive investigations with minimal supervision. * Skilled in collaborating across service functions (e.g., IT, HR, Legal) and thriving in multicultural environments. * High integrity, initiative, and attention to detail, especially when handling confidential information. * Excellent time management and multitasking abilities in fast-paced settings. * Strong customer service and stakeholder engagement skills, with the ability to tailor communications to diverse audiences. * Advanced proficiency in G Suite and data analysis tools; capable of visualising complex information effectively. ## Qualifications * Bachelor’s degree in Security Studies, International Relations, Criminal Justice, Business Management, or a relevant field from an accredited college or university; or equivalent professional experience. Master’s degree, preferred * 2+ years of relevant work experience in fields such as global security, intelligence, research and analysis, or in a security operations centre * Foreign language proficiency a plus. ## Additional Information Interview Process * Initial call with our Talent Acquisition team member * Timed written assessment (arranged at a time that suits you) to test writing and analytical capability * Panel interview with some of the team members and hiring managers at Sibylline * Meet and Greet with the client Research indicates that certain groups are less likely to apply for a position unless they meet every single requirement. If you feel you meet some of the requirements and can offer a unique perspective to this role, we strongly encourage you to apply—you might be the perfect fit we're looking for! Sibylline is committed to the recruitment and selection of candidates without regard for sexual orientation, gender, ethnicity, age, political beliefs, culture, and lifestyle. We are committed to fostering a business culture that reflects these values and promotes equal opportunity.", "summaryDescription" : "Embedded Intelligence Analyst at Sibylline Ltd. Skills: Intelligence products, Incident management, Open-source intelligence. Monitor safety and security. Assist analysts in producing intelligence products", "postedDate" : "2026-06-15T14:50:28.000", "createdAt" : "2026-06-16T00:03:34.914", "lastUpdated" : "2026-06-16T09:40:48.835", "ingestTimestamp" : "2026-06-16T00:03:34.914", "mongoId" : "6a306128f292fd229cf9566e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Data analysis", "Geopolitical analysis", "Security analysis", "Intelligence products", "Incident management", "Open-source intelligence", "Risk analysis", "Due diligence", "Strategic risk", "Intelligence analysis", "Research", "Investigations", "Security sector", "Global security", "Geopolitical developments", "Social fluency" ], "skillCount" : 16, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Junior", "dataQualityScore" : 1.0, "_score" : 598.346, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Consulting", "llmIndustryConfidence" : 0.95 }, { "id" : "6a304f3ff292fd229cee64e8", "title" : "Data Analyst - Business Intelligence", "company" : "Scalian", "industry" : "Information Services", "salary" : { "max" : 50000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : false }, "location" : "Madrid, Spain", "locations" : [ "Madrid", "Spain" ], "timestamp" : "2026-06-16T06:09:46.434", "fingerprint" : "1927f1696d5a71bbcc9d9891ed2ba82c421ee112714372ed16213408bdd13464", "source" : "smartrecruiters", "language" : "es", "applyUrl" : "https://jobs.smartrecruiters.com/Scalian/744000132183819-data-analyst-business-intelligence", "externalId" : "744000132183819", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Madrid", "country" : "Spain", "continent" : "eu", "source" : "llm", "workMode" : "remote", "geo" : "40.4167820,-3.7035070" } ], "locationText" : "Madrid, Spain", "employmentType" : "FULL_TIME", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "mid", "technicalSkills" : "Power BI, Tableau, QlikView, Qlik Sense, MicroStrategy", "hardSkillsList" : [ "Data analysis", "Reporting" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Reporting", "level" : "intermediate" } ], "majorSkills" : "Business Intelligence, Data visualization", "majorSkillsList" : [ "Business Intelligence", "Data visualization" ], "coreResponsibilities" : "Work on analytics and data visualization projects", "domainKnowledge" : "Banking sector", "domainList" : [ "banking-sector" ], "domainSpecificKnowledge" : [ "Banking sector" ], "toolProficiency" : [ "Power BI", "Tableau", "QlikView", "Qlik Sense", "MicroStrategy" ], "continuousLearning" : "Certifications; Personalized development plans", "qualificationsBasic" : "3 to 6 years in Business Intelligence, Proficiency in Power BI, Tableau or similar, Experience in data analysis and reporting environments", "qualificationsPreferred" : "Knowledge in QlikView / Qlik Sense, Experience with MicroStrategy, Previous experience in banking sector", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "\uD83D\uDD0E ¡Ampliamos nuestro equipo! ¿Buscas un nuevo reto donde puedas desarrollar tu carrera en Business Intelligence y trabajar con herramientas líderes del mercado? Entonces sigue leyendo \uD83D\uDC47 En Scalian , somos más de 6.000 profesionales con presencia internacional en Europa y Norteamérica. Estamos especializados en servicios de Data, Cloud e Inteligencia Artificial , acompañando a nuestros clientes en su transformación digital. \uD83D\uDE80 ¿Qué buscamos? Buscamos un/a Business Intelligence Consultant para integrarse en proyectos con clientes del sector bancario. Trabajarás en proyectos de analítica y visualización de datos. ## Qualifications Requisitos • Experiencia de 3 a 6 años en Business Intelligence • Dominio de Power BI, Tableau u otras herramientas similares • Experiencia en entornos de análisis de datos y reporting Requisitos valorables • Conocimiento en QlikView / Qlik Sense • Experiencia con MicroStrategy • Inglés (nivel opcional) • Experiencia previa en sector bancario ## Additional Information ¿Qué te ofrecemos? \uD83D\uDE80 Proyecto estable en un equipo de alto nivel con tecnologías punteras \uD83D\uDCBB 100% remoto \uD83D\uDCDD Contrato indefinido \uD83D\uDCB0 Salario hasta 50K \uD83D\uDCDA Formación continua, certificaciones y planes de desarrollo personalizados \uD83D\uDD50 Horario flexible para facilitar la conciliación \uD83C\uDF89 Afterworks y eventos de equipo \uD83C\uDF82 Tarde libre en tu cumpleaños \uD83C\uDFCB️‍♂️ Descuentos en gimnasios \uD83D\uDCB2 Retribución flexible (seguro médico, restaurante, transporte, guardería…) \uD83C\uDF0D Proyección internacional dentro del grupo ♻️ Compromiso con la sostenibilidad ⚖️ Entorno inclusivo y diverso", "summaryDescription" : "Data Analyst - Business Intelligence at Scalian. Skills: Business Intelligence, Data visualization. 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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. 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Presentation skills", "documentationSkills" : "Financial reporting; Regulatory documentation", "problemSolvingSkills" : "Analytical skills; Problem-solving", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "Datavant is the data collaboration platform trusted for healthcare. Guided by our mission to make the world’s health data secure, accessible and actionable, we provide critical data solutions for organizations across the healthcare ecosystem - including providers, health plans, researchers, and life sciences companies. From fulfilling a single patient’s request for their medical records to powering the AI revolution in healthcare, Datavanters are building the future of how data is connected and used to improve health. By joining Datavant today, you’re stepping onto a driven and highly collaborative team that is passionate about creating transformative change in healthcare. What We’re Looking For What You Will Do OPTIONAL: What a Typical Day Looks Like What You Need to Succeed OPTIONAL: What Helps You Stand Out What We Offer To ensure the safety of patients and staff, many of our clients require post-offer health screenings and proof and/or completion of various vaccinations such as the flu shot, Tdap, COVID-19, etc. Any requests to be exempted from these requirements will be reviewed by Datavant Human Resources and determined on a case-by-case basis. Depending on the state in which you will be working, exemptions may be available on the basis of disability, medical contraindications to the vaccine or any of its components, pregnancy or pregnancy-related medical conditions, and/or religion. This job is not eligible for employment sponsorship. Datavant is committed to a work environment free from job discrimination. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. To learn more about our commitment, please review our EEO Commitment Statement here. Know Your Rights, explore the resources available through the EEOC for more information regarding your legal rights and protections. In addition, Datavant does not and will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay. At the end of this application, you will find a set of voluntary demographic questions. If you choose to respond, your answers will be anonymous and will help us identify areas for improvement in our recruitment process. (We can only see aggregate responses, not individual ones. In fact, we aren’t even able to see whether you’ve responded.) Responding is entirely optional and will not affect your application or hiring process in any way. Datavant is committed to working with and providing reasonable accommodations to individuals with physical and mental disabilities. If you need an accommodation while seeking employment, please request it here, by selecting the ‘Interview Accommodation Request’ category. You will need your requisition ID when submitting your request, you can find instructions for locating it here. Requests for reasonable accommodations will be reviewed on a case-by-case basis. For more information about how we collect and use your data, please review our Privacy Policy.", "summaryDescription" : "Commercial Strategy and Analytics Manager at Datavant. Skills: Financial instruments, Risk methodologies, Regulatory frameworks. Analyze financial data. Develop analytical models", "postedDate" : "2026-06-15T23:22:22.690", "createdAt" : "2026-06-15T23:22:22.690", "lastUpdated" : "2026-06-16T10:08:43.558", "ingestTimestamp" : "2026-06-15T23:22:22.690", "mongoId" : "6a305abef292fd229cf54ff8", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 145000, "salaryAnnualMax" : 210000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Financial analysis", "Data analysis", "Statistical modeling", "Financial instruments", "Risk methodologies", "Regulatory frameworks", "Financial modeling", "Portfolio management", "Risk assessment", "Quantitative analysis", "Banking", "Investment management", "Trading", "Risk management", "Compliance", "Insurance", "Fintech", "Accounting", "SOX", "Basel III/IV", "MiFID II", "Dodd-Frank", "FINRA", "SEC", "FCA", "GDPR", "AML/KYC", "Equities", "Fixed income", "Derivatives", "Options", "Futures", "Swaps", "FX", "Structured products", "Private credit", "VaR", "CVaR", "Stress testing", "Monte Carlo", "Factor models", "Credit scoring", "CFA", "CPA", "FRM", "Series 7", "Series 63", "Series 65", "CAIA", "CFP", "ACCA", "ACA", "Bloomberg Terminal", "Reuters Eikon", "FactSet" ], "skillCount" : 55, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "_score" : 576.00525, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305abef292fd229cf54ff9", "title" : "Commercial Strategy and Analytics Manager", "company" : "Datavant", "salary" : { "min" : 145000.0, "max" : 210000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Manager in the Healthcare industry in the United States, adjusted for seniority and company size." }, "location" : "Remote - United States", "locations" : [ "Remote - United States" ], "timestamp" : "2026-06-16T08:30:37.574", "fingerprint" : "35bff4604600380506ad472704ca6695e1cda3711a8c2e1bbb9ad61fb38f258e", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.datavant.com/about/careers/open-roles/job?gh_jid=5247278008", "externalId" : "5247278008", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "experienceLevel" : "Manager", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Datavant is the data collaboration platform trusted for healthcare. Guided by our mission to make the world’s health data secure, accessible and actionable, we provide critical data solutions for organizations across the healthcare ecosystem - including providers, health plans, researchers, and life sciences companies. From fulfilling a single patient’s request for their medical records to powering the AI revolution in healthcare, Datavanters are building the future of how data is connected and used to improve health. By joining Datavant today, you’re stepping onto a driven and highly collaborative team that is passionate about creating transformative change in healthcare. What We’re Looking For: As the Commercial Strategy and Analytics Manager at Datavant, you will play a crucial role within our Commercial Operations team. Your primary responsibility will be to support the transformation of the commercial organization through customer segmentation, go to market models design, sales strategy, and customer analytics. Your role requires a strong technical background, excellent analytical skills, and the ability to collaborate effectively in a fast-paced environment. What You Will Do: Drive commercial strategy through: Commercial analytics, executive reporting, and market insights that identify growth opportunities, client trends, and areas of strategic focus Building scalable dashboards, performance metrics, and account intelligence frameworks that support commercial decision-making across Client Success and cross-functional stakeholders Analyzing and synthesizing market, client, adoption, and revenue data to deliver actionable insights and forward-looking business recommendations Conducting market sizing, segmentation, whitespace, and competitive analysis to support strategic planning and prioritization Help refine and scale commercial operations by: Partnering cross-functionally with Client Success, Sales, Finance, Product, Business Intelligence, and Data teams to improve alignment across forecasting, planning, and commercial priorities Designing and operationalizing standardized reporting, analytics frameworks, and planning methodologies that improve consistency and scalability across teams Driving adoption and enablement of dashboards, tools, and analytics capabilities to improve visibility, decision-making, and execution Continuously improving reporting workflows, data quality, and insight delivery processes to support operational efficiency and business impact Improve commercial planning and business performance by: Supporting forecasting and demand planning processes through accurate, insight-driven analytics and standardized inputs Monitoring commercial performance trends, client engagement signals, and revenue pacing to proactively identify risks and opportunities Developing methodologies and tracking mechanisms that measure business performance, account health, and strategic progress Translating analytics into clear recommendations and action plans that support client growth, commercial performance, and operational priorities What You Need to Succeed: Bachelor’s degree in Business, Analytics, Information Technology, Economics, Engineering, or a related field; 15 years of equivalent experience will be considered in lieu of Bachelor’s degree Minimum of 7 years of experience in commercial strategy, business intelligence, revenue operations, analytics, management consulting, or a related role Experience supporting commercial planning, forecasting, account strategy, client success operations, and/or revenue performance initiatives Strong analytical skills with experience interpreting commercial, client, operational, and financial data to drive business decisions and strategic recommendations Experience developing dashboards, reporting frameworks, and performance metrics that support executive decision-making Proven ability to synthesize complex data into clear insights, action plans, and business recommendations Strong understanding of forecasting methodologies, commercial performance tracking, and operational planning processes Experience partnering cross-functionally with proven ability to influence stakeholders and drive alignment across teams in a fast-paced environment Strong project management, communication, and execution skills with the ability to manage multiple high-priority initiatives simultaneously Experience improving operational processes, reporting workflows, and analytics adoption across organizations What Helps You Stand Out: Master’s Degree in relevant field We are committed to building a diverse team of Datavanters who are all responsible for stewarding a high-performance culture in which all Datavanters belong and thrive. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. At Datavant our total rewards strategy powers a high-growth, high-performance, health technology company that rewards our employees for transforming health care through creating industry-defining data logistics products and services. The range posted is for a given job title, which can include multiple levels. Individual rates for the same job title may differ based on their level, responsibilities, skills, and experience for a specific job. The estimated total cash compensation range for this role is: $120,000—$140,000 USD To ensure the safety of patients and staff, many of our clients require post-offer health screenings and proof and/or completion of various vaccinations such as the flu shot, Tdap, COVID-19, etc. Any requests to be exempted from these requirements will be reviewed by Datavant Human Resources and determined on a case-by-case basis. Depending on the state in which you will be working, exemptions may be available on the basis of disability, medical contraindications to the vaccine or any of its components, pregnancy or pregnancy-related medical conditions, and/or religion. This job is not eligible for employment sponsorship. Datavant is committed to a work environment free from job discrimination. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. To learn more about our commitment, please review our EEO Commitment Statement here. Know Your Rights, explore the resources available through the EEOC for more information regarding your legal rights and protections. In addition, Datavant does not and will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay. At the end of this application, you will find a set of voluntary demographic questions. If you choose to respond, your answers will be anonymous and will help us identify areas for improvement in our recruitment process. (We can only see aggregate responses, not individual ones. In fact, we aren’t even able to see whether you’ve responded.) Responding is entirely optional and will not affect your application or hiring process in any way. Datavant is committed to working with and providing reasonable accommodations to individuals with physical and mental disabilities. If you need an accommodation while seeking employment, please request it here, by selecting the ‘Interview Accommodation Request’ category. You will need your requisition ID when submitting your request, you can find instructions for locating it here. Requests for reasonable accommodations will be reviewed on a case-by-case basis. For more information about how we collect and use your data, please review our Privacy Policy.", "summaryDescription" : "Commercial Strategy and Analytics Manager at Datavant", "postedDate" : "2026-06-15T23:23:23.617", "createdAt" : "2026-06-15T23:23:23.617", "lastUpdated" : "2026-06-16T08:30:37.574", "ingestTimestamp" : "2026-06-15T23:23:23.617", "mongoId" : "6a305abef292fd229cf54ff9", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 145000, "salaryAnnualMax" : 210000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Manager", "dataQualityScore" : 0.7777778, "_score" : 575.3891, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2ca43874d8ee00a09b0bdc", "title" : "Commercial & Analytics Projects", "company" : "Picnic", "industry" : "E-Commerce", "salary" : { "min" : 55000.0, "max" : 80000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for E-commerce in Amsterdam, Netherlands, adjusted for mid-seniority and full-time employment." }, "location" : "Amsterdam, North Holland, Netherlands", "locations" : [ "Amsterdam", "North Holland", "Netherlands" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-15T08:05:06.822", "fingerprint" : "e007a30a43bb50fcd6d4e5c29f7a5518c7bbd1bf4800fd25bee9d21293b11aef", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://jobs.picnic.app/nl/vacancies?gh_jid=1052185", "externalId" : "1052185", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Amsterdam", "state" : "North Holland", "country" : "Netherlands", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "52.3730796,4.8924534" } ], "locationText" : "Amsterdam, North Holland, Netherlands", "minimumEducation" : "Master's", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "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", "professionalSkills" : [ "Quantitative analysis", "Deal experience" ], "hardSkillsList" : [ "Regression", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference" ], "softSkillsList" : [ "Grit" ], "hardSkills" : [ { "name" : "Regression", "level" : "intermediate" }, { "name" : "Classification", "level" : "intermediate" }, { "name" : "Clustering", "level" : "intermediate" }, { "name" : "Time-series analysis", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Grit" } ], "majorSkills" : "Data science, Data engineering, ML/AI, Business intelligence, Analytics engineering", "majorSkillsList" : [ "Data science", "Data engineering", "ML/AI", "Business intelligence", "Analytics engineering" ], "coreResponsibilities" : "Own problems, Test ideas, Learn from mistakes, Solve puzzles, Build solutions", "teamCollaboration" : "Cross-functional teams; European scale teams", "domainKnowledge" : "Retail topics; Grocery shopping", "domainList" : [ "retail-topics", "grocery-shopping" ], "domainSpecificKnowledge" : [ "Retail topics", "Grocery shopping" ], "toolProficiency" : [ "Tableau", "Power BI", "Looker", "Metabase", "Superset", "Qlik", "MicroStrategy", "SageMaker", "Vertex AI", "ML Studio" ], "communicationSkills" : "Explain complex concepts", "continuousLearning" : "Personal development; Lepaya courses; Academy trainings; OpenUp courses", "innovationCreativity" : "Innovate across borders; Redefine operations", "problemSolvingSkills" : "Solve real-life puzzles", "outcomesObjectives" : "Capitalize on growth opportunities; Redefine grocery shopping; Deliver results", "qualificationsBasic" : "Master's degree, 2-5 years experience, SQL proficiency, Python proficiency", "qualificationsPreferred" : "PhD preferred, Specific ML framework experience, Cloud platform certifications", "workSiteFlexibility" : "Flexible", "rawDescription" : "In a nutshell As we continue to scale the best milkman on earth, we are looking for sharp minds that can help us further shape Picnic as we expand across Europe. We are looking for experienced hires with a background in top strategy consulting, private equity, investment banking, e-commerce or commercial roles, that can help us capitalize on the many growth opportunities Picnic has. Tricks of the trade Lead with ambition: Bring your relentless determination, creativity, and grit. Take the driver’s seat and redefine the grocery shopping experience for millions. You will be expected to think independently, move fast, and deliver results. Steep learning curve: Your growth comes from owning real problems, testing your ideas, learning from your mistakes and starting again. You'll move at a pace that accelerates your growth like nowhere else. Solve real-life puzzles: Spot opportunities, use tools at the forefront of technology, and own the outcome end to end. Not just making slides, but building the solution yourself. Innovate across borders: You’ll collaborate with teams across the Netherlands, Germany, and France, tackling challenges that redefine how Picnic operates at a European scale. High-performance environment: You’ll work alongside some of the best teams in analytics and tech, people who set a high bar and expect you to do the same. Your superpowers Master’s degree in Econometrics, Engineering, Finance, Math or an equivalent quantitative study 2-5 years of work experience in top tier management consulting, PE, investment banking, retail topics and hands-on deal experience Out-of-the-box thinking and initiative: hands-on, nothing-is-impossible mindset Strong communication skills in Dutch and English, allowing you to explain complex analytical concepts in a simple and practical way Proficient with SQL and Python or excited to learn Picnic Perks \uD83E\uDD57 Fresh Lunch, coffee, and snacks Our offices are equipped with fully-fledged coffee bars and a kitchen and chefs. They prepare delicious fresh and warm lunches every day so you can keep your energy up. \uD83D\uDEB2 Health insurance discount & bike plan We have a partnership with CZ (a health insurance provider). Picnic employees get a discount on CZ insurance packages between 5% and 15%. Furthermore, through our partnership with Lease a Bike, you can rent-to-own a new (e)bike at a discounted rate \uD83D\uDDFA️ Relocation If you’re moving from another country to join Picnic we make it as smooth as possible for you. We’ll cover your flight costs for you and your partner and kids, your first month's rent and moving costs (up to €2000), and help you with the 30% tax ruling setup and application. \uD83C\uDF4E Learning & development You’ll get ample opportunity to work on yourself at Picnic. We offer personal development through Lepaya courses, Academy trainings, and more. Interested in improving your mental wellbeing? Through OpenUp you get free access to trained psychologists and many courses. \uD83D\uDCBB All the rest At Picnic you get 25 holidays, we cover your travel expenses and offer a pension plan. And your phone and laptop are on us, as well.", "summaryDescription" : "Commercial & Analytics Projects at Picnic. Skills: Data science, Data engineering, ML/AI, Business intelligence, Analytics engineering. Own problems. Test ideas", "postedDate" : "2026-06-14T01:47:09.171", "createdAt" : "2026-06-14T01:47:09.171", "lastUpdated" : "2026-06-15T08:05:06.822", "ingestTimestamp" : "2026-06-14T01:47:09.171", "mongoId" : "6a2ca43874d8ee00a09b0bdc", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Regression", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference", "Grit", "Data science", "Data engineering", "ML/AI", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Deal experience", "Retail topics", "Grocery shopping", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Tableau", "Power BI", "Looker", "Metabase", "Superset", "Qlik", "MicroStrategy", "SageMaker", "Vertex AI", "ML Studio" ], "skillCount" : 30, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "_score" : 569.8773, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "E-Commerce", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c913074d8ee00a098232a", "title" : "Director, Revenue Intelligence & Analytics", "company" : "UPSTACK", "industry" : "FinTech", "salary" : { "min" : 170000.0, "max" : 190000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "United States", "locations" : [ "United States" ], "timestamp" : "2026-06-16T03:55:24.690", "fingerprint" : "787e70a727a226e07dab4a0af6b02020500a1f5a10fa5e0c89718d1b80113615", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/upstack/jobs/5239447008", "externalId" : "5239447008", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Director", "remoteFriendly" : true, "rawDescription" : "Overview UPSTACK is the leading full-service technology advisory firm, transforming how businesses design, source, implement, support, and optimize IT infrastructure. Clients benefit from decades of expertise, enhanced support, and UPSTACK’s proprietary technology—delivering faster deployments, cost savings, and streamlined access to critical solutions. Our expertise includes: data center colocation, network connectivity, SD-WAN, unified communications, cloud contact center, CX-AI, private/public cloud, security, mobility, business continuity, and IoT. Under the leadership of Founder and CEO Christopher Trapp, UPSTACK is committed to exceptional customer experiences, serving 6,500+ clients—from SMBs to enterprises—and managing over $550M in annual technology spend across industries. About the Role We are seeking a strategic and analytical Director, Revenue Intelligence & Analytics to serve as a trusted partner to the Chief Revenue Officer (CRO) and Go-to-Market (GTM) leadership team. This leader will drive business performance through revenue intelligence, forecasting excellence, financial and operational analytics, and AI-driven insights. The ideal candidate combines deep expertise in revenue operations, financial planning, and business analytics with the ability to influence executive decision-making. This role will lead forecasting governance, pipeline analytics, productivity measurement, partner economics, investment optimization, and strategic planning initiatives that support scalable revenue growth and operational excellence. Key Responsibilities Revenue Intelligence & Forecasting Own and continuously improve revenue forecasting models, including pipeline, bookings, revenue, and quota attainment. Drive forecast rigor, governance processes, and forecasting methodologies across GTM leadership. Lead pipeline inspection and deal review processes to improve forecast accuracy and predictability. Analyze stage conversion rates, deal progression, slippage trends, and forecast variance. Support monthly, quarterly, and annual forecasting processes in partnership with Finance and GTM leadership. Sales Performance & Productivity Analytics Develop sales capacity models, including headcount planning, quota allocation, territory coverage, and ramp productivity. Evaluate sales productivity across segments, geographies, verticals, routes-to-market, and seller types. Support compensation plan modeling, attainment analysis, and incentive effectiveness reviews. Identify opportunities to improve revenue-generating efficiency and resource allocation. Strategic Growth & Market Analysis Conduct Ideal Customer Profile (ICP) analysis, market segmentation, whitespace analysis, and growth opportunity modeling. Analyze key SaaS business drivers including customer acquisition cost (CAC), lifetime value (LTV), funnel conversion, retention, and revenue growth metrics. Develop financial and business models to support pricing strategy, territory planning, market expansion, and investment decisions. Provide recommendations on GTM investments, territory design, and strategic growth initiatives. Partner & Ecosystem Performance Evaluate partner, channel, alliance, and ecosystem performance, including ROI and investment effectiveness. Assess partner economics and recommend optimization strategies to maximize growth and profitability. Executive Reporting & Business Insights Lead analytics and reporting for forecast reviews, Quarterly Business Reviews (QBRs), executive operating reviews, and Board presentations. Design and maintain executive dashboards and KPI reporting frameworks. Deliver actionable insights on performance against targets, highlighting risks, opportunities, and recommended actions. Translate complex data into clear, compelling executive-level narratives. AI & Advanced Analytics Leverage predictive analytics, AI-assisted forecasting, automation, anomaly detection, and scenario modeling to improve decision-making. Identify opportunities to enhance business intelligence capabilities and operational efficiency through technology and analytics. Cross-Functional Leadership Partner with Sales, Marketing, Customer Success, Revenue Operations, Business Systems & Data, and Finance teams to drive alignment and execution. Support annual planning, budgeting, and long-range strategic planning processes. Ensure data integrity, reporting consistency, and analytical rigor across the organization. Drive continuous improvement of processes, tools, systems, and reporting frameworks. Education Bachelor's degree in Finance, Accounting, Economics, Business Administration, or a related field. Required Qualifications 10+ years of experience in Revenue Operations, Revenue Analytics, FP&A, Business Intelligence, Sales Operations, or related strategic analytics functions. Experience supporting executive leadership teams and influencing business strategy through data-driven insights. Proven success in SaaS, subscription-based, or high-growth technology environments. Demonstrated experience building and managing forecasting, planning, and performance management processes. Deep knowledge of: Revenue Operations principles Forecast governance and pipeline management Territory design and sales capacity planning Compensation and incentive design Partner and ecosystem business models SaaS growth metrics and revenue architecture FP&A, forecasting, budgeting, and variance analysis Revenue modeling concepts including ARR, MRR, bookings, churn, and pipeline metrics GTM business models and sales performance measurement Advanced proficiency with: Salesforce SQL Snowflake Gong HubSpot Marketo Power BI, Tableau, or similar BI platforms Excel and financial modeling tools Predictive analytics and AI-enabled business analysis solutions Exceptional analytical and problem-solving skills. Strong executive communication and data storytelling capabilities. Ability to synthesize large, complex datasets into actionable business recommendations. Excellent stakeholder management and cross-functional collaboration skills. Strong project management and prioritization abilities. High attention to detail and commitment to data accuracy. Additional Requirements Ability to influence executive decision-making through quantitative analysis and strategic recommendations. Demonstrated ability to challenge assumptions and drive accountability through business inspection processes. Experience balancing strategic planning with operational execution. Strong business acumen with a focus on ROI-driven investment decisions. Ability to thrive in a fast-paced, high-growth environment with evolving priorities. Proven track record of identifying business risks and opportunities proactively. Experience building scalable analytical frameworks and financial models that support company growth. Ability to partner effectively with both technical and non-technical stakeholders. Commitment to continuous improvement, operational excellence, and innovation. Salary Range Employees new to UPSTACK typically come in at the start of the pay range. UPSTACK focuses on providing a simple and transparent pay structure, which is based on a variety of factors, including location, experience, and job-related skills. The salary range for this role is $170,000.00 to $190,000.00 annually plus participation in the annual bonus program. Compensation includes base salary and benefits. Closing UPSTACK is an Equal Opportunity Employer and does not discriminate based on race, gender, ethnicity, religion, national origin, age, disability, veteran status, gender identity/expression, sexual orientation, or on any other basis prohibited by law. Consistent with applicable state and local law, UPSTACK will consider employment for all qualified applicants. UPSTACK is committed to providing reasonable accommodations to individuals with disabilities as required by applicable law. Accommodations may include adjustments to the application, interview, or assessment process, as well as modifications to the work environment or job duties to enable individuals to perform the essential functions of the role. Requests for accommodations will be evaluated on a case-by-case basis and provided unless they impose an undue hardship on the organization. At this time, UPSTACK will not sponsor a new applicant for employment authorization for this position. We endeavor to make the application process accessible to all applicants. If you would like to contact us regarding accessibility and/or need assistance completing the application process, please contact us at recruiting@upstack.com.", "summaryDescription" : "Director, Revenue Intelligence & Analytics at UPSTACK", "postedDate" : "2026-06-14T20:03:29.222", "createdAt" : "2026-06-14T20:03:29.222", "lastUpdated" : "2026-06-16T03:55:24.690", "ingestTimestamp" : "2026-06-14T20:03:29.222", "mongoId" : "6a2c913074d8ee00a098232a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 170000, "salaryAnnualMax" : 190000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Director", "dataQualityScore" : 0.8888889, "_score" : 559.1723, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c941a74d8ee00a0989afc", "title" : "Senior Systems Analyst – Reporting & EDI Analytics", "company" : "ASSYST, Inc.", "salary" : { "min" : 2500000.0, "max" : 4000000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Systems Analyst in the Healthcare industry in India, adjusted for seniority and full-time employment." }, "location" : "Client Location", "locations" : [ "Client Location" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T06:05:35.317", "fingerprint" : "529ec775ca0e3d08d2a7e329162a447a6dfb05db17f45c5ba1fd2fe68b99dab4", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/assystinc/jobs/4272815009", "externalId" : "4272815009", "industryFunction" : { }, "structuredLocations" : [ { "workMode" : "onsite" } ], "locationText" : "", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, Python, R, Scala, Spark, Dbt, Tableau, Power BI, Looker, Metabase, Superset, Qlik, MicroStrategy, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Dbt Cloud, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, GCP, Azure", "professionalSkills" : [ "Data engineering", "ML engineering", "Business intelligence", "Analytics engineering", "Quantitative analysis" ], "hardSkillsList" : [ "Statistical methods", "Machine learning", "Data modelling" ], "hardSkills" : [ { "name" : "Statistical methods", "level" : "intermediate" }, { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "Data modelling", "level" : "intermediate" } ], "majorSkills" : "Data science, Data engineering, Machine learning, Business intelligence", "majorSkillsList" : [ "Data science", "Data engineering", "Machine learning", "Business intelligence" ], "domainKnowledge" : "Cloud data stacks; 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This role is responsible for transforming business and operational data into actionable insights while supporting Electronic Data Interchange (EDI) analysis and data validation activities. The ideal candidate will have strong expertise in SQL, reporting tools, data analysis, dashboard development and healthcare-related data environments. Roles & Responsibilities: Design, develop, implement and maintain complex operational and federally mandated reports. Analyze reporting requirements and identify effective approaches for report generation, dashboard development and data extraction solutions. Develop complex SQL queries, stored procedures and data extraction processes using PostgreSQL and other database platforms. Create interactive reports and dashboards using Tableau, Power BI, or equivalent reporting tools. Identify opportunities to securely share and distribute data across internal and external stakeholders. Perform data analysis and interpretation to support management decision-making, policy development and operational reviews. Evaluate data quality and system functionality using database applications and analytical tools. Analyze business processes and translate reporting requirements into data-driven solutions, reports and dashboards. Collaborate with cross-functional teams in a fast-paced environment to deliver reporting and analytical solutions. Perform Medicaid 8001 Flat File validation and analysis. Review Member Person Index (MPI) records for SSN matching and Master Data Management (MDM) validation. Conduct HBX system error analysis, validate 1095-A and 1095-B files and reconcile Medicaid 8001 transactions. Support development, testing and EDI operations teams by analyzing, troubleshooting, testing and transmitting EDI files on a daily basis. Create data change requests to resolve consumer-reported and system-generated errors. Coordinate with technical and business teams to analyze error reports and perform root cause analysis for transaction rejections. Access and analyze application and database data to identify and resolve system issues. Ensure compliance with all security, change management, project governance and operational procedures. Required Skills & Qualifications: Required Experience: Minimum 5 years of experience in data extraction, data analysis, report generation and dashboard development. Minimum 5 years of experience developing complex SQL queries, stored procedures and custom reports within large-scale IT environments. Minimum 5 years of experience developing reports and dashboards using Tableau, Power BI, or similar reporting platforms. Minimum 2 years of experience translating business requirements into meaningful dashboards and data visualizations. Experience designing, implementing and maintaining reporting databases and data warehouses. Strong understanding of data modeling, data warehousing and ETL processes. Excellent analytical, problem-solving, communication and stakeholder management skills. Ability to manage multiple priorities and deliver results within tight deadlines. Preferred Qualifications: 8+ years of hands-on experience designing and developing complex SQL queries, stored procedures and reporting solutions. 4+ years of experience working with PostgreSQL databases for reporting and4+ years of experience developing advanced Tableau dashboards and analytical reports.. Extensive knowledge of data sources, data flow, system integrations and advanced reporting methodologies. Experience supporting health insurance marketplaces, healthcare organizations, or Health and Human Services programs. Hands-on experience with data visualization, report automation and advanced data analytics. Familiarity with web technologies such as HTML, CSS and JavaScript. Experience with programming languages such as Python, Java, or equivalent technologies. Knowledge of EDI transaction sets including 834, 820 and 999. Understanding of Medicaid and Qualified Health Plan (QHP) eligibility processes. Knowledge of EDI 834 enrollment transactions, including Adds, Terminations, Cancellations and Life Event processing. ASSYST is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, disability, military status, national origin or any other characteristic protected under federal, state, or applicable local law.", "summaryDescription" : "Senior Systems Analyst – Reporting & EDI Analytics at ASSYST, Inc.. 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Game teams; Data teams; Live-ops teams; Leadership", "domainKnowledge" : "Gaming markets; Game genres; Game sub-genres; Geographies; Competitor titles; Competitor companies; Product decisions; Portfolio decisions; Core loops; Progression systems; Event systems; Monetisation systems; Economy systems; Live-ops mechanics; Genre-defining games; Market benchmarks; Player-based estimation; Competitor studio portfolios; Operating models", "domainList" : [ "gaming-markets", "game-genres", "game-sub-genres", "geographies", "competitor-titles", "competitor-companies", "product-decisions", "portfolio-decisions", "core-loops", "progression-systems", "event-systems", "monetisation-systems", "economy-systems", "live-ops-mechanics", "genre-defining-games", "market-benchmarks", "player-based-estimation", "competitor-studio-portfolios", "operating-models" ], "domainSpecificKnowledge" : [ "Gaming markets", "Game genres", "Game sub-genres", "Geographies", "Competitor titles", "Competitor companies", "Product decisions", "Portfolio decisions", "Core loops", "Progression systems", "Event systems", "Monetisation systems", "Economy systems", "Live-ops mechanics", "Genre-defining games", "Market benchmarks", "Player-based estimation", "Competitor studio portfolios", "Operating models" ], "toolProficiency" : [ "Sensor Tower", "GameRefinery", "Tableau" ], "communicationSkills" : "Communicate concisely; Communicate clearly; Turn analysis into thinking; Talk to designers; Talk to analysts; Talk to marketers; Talk to leadership", "problemSolvingSkills" : "Think clearly; Enjoy messy problems; Make sense of markets; Break down games; Connect dots; Form hypotheses; Surface insights", "qualificationsBasic" : "5+ years experience, SQL proficiency, Comfortable with numbers, Break games down into systems, Know your way around data sources, Play games, Think about games, Dig into data using SQL", "qualificationsPreferred" : "PhD preferred, Specific ML framework experience, Cloud platform certs", "remoteFriendly" : false, "rawDescription" : "[https://app.ashbyhq.com/api/images/user-content/1246dead-d30e-4c70-a1d3-ef7e5023d542/13debaec-d68e-4102-8572-9a8038a43645/clash%20royale%20landscape%20cartoon.png] WE ARE LOOKING FOR A MARKET & COMPETITOR INTELLIGENCE ANALYST TO JOIN OUR GAME RESEARCH TEAM IN HELSINKI. WE ARE AN INTERDISCIPLINARY GROUP COMMITTED TO EMPOWERING DECISION-MAKING IN SUPERCELL GAMES THROUGH PLAYER AND MARKET INSIGHTS. UNITED BY OUR PASSION FOR GAMES, CURIOSITY ABOUT HUMAN BEHAVIOR, AND DEDICATION TO SCIENTIFIC RIGOR, WE ARE LOOKING FOR SOMEONE WHO SHARES OUR ENTHUSIASM TO DECODE “WHAT’S HAPPENING” AND THE “WHY” UNDERNEATH IT. This is the first dedicated Market & Competitor Intelligence role in-house. While this is an individual contributor position, the scope and impact are significant. You will help shape how this function is built — defining frameworks, setting standards, and establishing how we think about market and competitive intelligence across Supercell. In this role, you will elevate our market awareness and competitive sharpness across the portfolio. You’ll own macro-level market understanding across genres, sub-genres, and geographies, and build structured intelligence on competitor titles and companies to inform product and portfolio decisions. If you are passionate about understanding how markets move, how games win, and how companies operate, and turning that into clear, decision-shaping insights — this role is for you. [https://app.ashbyhq.com/api/images/user-content/1246dead-d30e-4c70-a1d3-ef7e5023d542/7a053edc-bf2e-4db4-85ee-5630e2b5d305/banner_narrow_customs.jpg] WHAT YOU'LL BE DOING - Connect our games to the bigger market: Keep a close pulse on gaming markets across genres and regions. Track what competitors are doing in product design, features, live-ops, and monetisation. Combine external data (Sensor Tower, GameRefinery, etc.) with internal knowledge to form a clear view of where things are heading. - Uncover what makes competitor games tick (or don’t): Deconstruct the core loops, systems, progression, events, monetisation and economy to explain not just how a game works, but why it works — and what our games could learn from it. - Spot meaningful signals early: Identify meaningful patterns, shifts, and early signals across the market and competitive space. Highlight what’s gaining traction, what’s changing, and where new opportunities may be forming. - Turn insights into actions through close cross-team collaborations: Build a solid understanding of competitor titles and companies — how they design, operate, and grow — and translate that into concrete implications for our games. Work closely with game teams, data, live-ops, and leadership to make sure insights actually get used. - Here are examples of things you might work on: - Set up a market and competitor monitoring system to track performance, key product movements, and emerging high-growth competitors - Break down a competitor game in depth — map its progression, event cadence, monetisation and economy systems — connect product updates to business performance, and explain clearly to game teams what makes it work (or not) - Spot a shift in live-ops mechanics or monetisation structures across the market and highlight what we could learn from it - Size the opportunity for an innovative or genre-defining game by combining market benchmarks with bottom-up, player-based estimation - Analyze a competitor studio’s portfolio moves or operating model and distill the strategic implications - And many other things. We expect you to take ownership, work independently, think creatively, and drive the topics you believe matter. WHAT YOU HAVE - Think clearly and enjoy messy problems. You like making sense of complex markets. You’re comfortable with numbers and sizing models, and you know how to break games down into systems — core loops, monetisation, live-ops — to understand what makes them work. You know your way around different data sources, but you are able to connect dots, form hypotheses, and surface insights even when there’s limited existing data to work with - Care deeply about games. You play them. You think about them. You notice why something feels good or doesn’t. You’re curious about why a game would succeed or fail — and you’re just as curious about how the companies behind them operate. - Are comfortable working with data. You’ve used tools like Sensor Tower or GameRefinery before. You don’t mind digging into data using SQL, Tableau, or similar tools. You value the intellectual rigor in your work, but don’t need to wait for perfect data to form hypotheses and a perspective. - Communicate concisely and clearly. You turn analysis into clear thinking. You can talk to designers, analysts, marketers, or leadership without hiding behind jargon or 100-page decks. - Collaborate across disciplines. You’re comfortable working with designers, live-ops and monetisation team, data analysts, marketing, and leadership. You know how to adapt your communication to different audiences and build trust across functions through a hands-on, grounded approach. - Value ownership and autonomy. You’re comfortable working independently in a fast-moving, sometimes messy environment. You care about doing good work, you’re open to feedback, happy to be proven wrong at times (then we learn together!) and focused on impact over credit. - A self-starter approach to use AI. You've found ways to use it in your day-to-day work, you experiment, figure things out and bring the same energy to every new challenge. WOULD BE NICE IF YOU ALSO HAVE - 4+ years in market intelligence, strategy, consulting, gaming analytics, or related fields - But as people learn and grow at different paces, we do NOT want to make years of experience a mandatory requirement to candidates - Experience building structured competitive intelligence programs - Strong understanding of the mobile gaming ecosystem and its monetisation models WHERE YOU'LL BE The position is based in Helsinki, where most of the live game teams are located. ––– That's it about the role! Below, we've gathered some things we feel are important for you to know. Totally optional, but a highly recommended read. Once you're ready to apply, just send us your application through the form on the bottom of the page. ––– [https://app.ashbyhq.com/api/images/user-content/1246dead-d30e-4c70-a1d3-ef7e5023d542/88b3477a-7124-479e-babc-94125c5b23be/banner_narrow_allstars.jpg] ABOUT SUPERCELL Supercell is a games company from Helsinki, Finland, with offices https://supr.cl/jd-offices also in San Francisco, Seoul, Shanghai, and London. You might know us as the makers of Hay Day, Clash of Clans, Boom Beach, Clash Royale, and Brawl Stars. Our mission is to create great games https://supr.cl/jd-games that as many people as possible play for years and that are remembered forever. So, how do we make great games? By putting together the best teams and giving them the freedom and independence to succeed. And by taking risks, failing, sharing learnings https://supercell.com/en/news/learning-from-failures/, and killing lots of projects. [https://app.ashbyhq.com/api/images/user-content/1246dead-d30e-4c70-a1d3-ef7e5023d542/0272a5b3-a7a2-4f1c-b97b-725eae66daf0/banner_narrow_people3.jpg] HEY, YOU MIGHT LOVE IT HERE! Independent cells and trust are at the core of our culture https://supr.cl/jd-why-you. But it takes more than that to make great games. We take good care of our people, providing them with the compensation, work environment, and resources they need to succeed while having fun along the way. [https://app.ashbyhq.com/api/images/user-content/1246dead-d30e-4c70-a1d3-ef7e5023d542/49ae2117-cfbb-4fbd-bc4c-f67357d2f376/banner_narrow_titles.jpg] YOU ARE NOT YOUR JOB TITLE ™ Here, you won’t need to focus on chasing titles https://supr.cl/jd-job-title or climbing ladders. Internally, our job titles don’t include prefixes like Senior, Junior, Principal, or Director. Recognition isn’t tied to your title, as it doesn't define the impact you can have around here. [https://app.ashbyhq.com/api/images/user-content/1246dead-d30e-4c70-a1d3-ef7e5023d542/860d5de4-aa96-4e01-879c-889b7039330b/banner_narrow_chest.jpg] BENEFITS AND COMPENSATION Luring you in with glitter, glamour, and gems isn't what we're about. We want you to enjoy your time here fully, so we structure our compensation and benefits https://supr.cl/jd-benefits with that in mind. It starts with perceiving you as a human being, not a resource. [https://app.ashbyhq.com/api/images/user-content/1246dead-d30e-4c70-a1d3-ef7e5023d542/b52ac2fb-3f94-46bc-9c36-32ad780b2eae/banner_narrow_relocating.jpg] RELOCATION? YES! No matter where you’re moving from, our dedicated mobility team and partners will support you throughout your move. We’ll ensure the process is as smooth as possible for you and anyone joining you – whether they’re family members of the human or animal kind! [https://app.ashbyhq.com/api/images/user-content/1246dead-d30e-4c70-a1d3-ef7e5023d542/58a0cf4e-e26b-461b-8541-2129dc6b7311/banner_narrow_portraits-2025-ashby.jpg] NOT SURE IF YOU SHOULD APPLY? Many candidates with great skills and experience second-guess themselves. The bar is high, but if this role excites you, apply! We’re here to help you succeed. Also, we're happy to learn about any specific accommodations you may need to fully engage in our recruitment process. Wishing you all the best, The Supercell Recruitment team", "summaryDescription" : "Market & Competitor Intelligence Analyst at Supercell. Skills: Market intelligence, Competitor analysis, Game deconstruction, Data analysis. Connect games to market. 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Scams SME team; On-chain analysts; DC-based targeting cell", "domainKnowledge" : "Crypto investigations; Crypto-enabled scams; Financial crime; Scam compound operators; Threat networks; Fraud networks; Cyber infrastructure", "domainList" : [ "crypto-investigations", "crypto-enabled-scams", "financial-crime", "scam-compound-operators", "threat-networks", "fraud-networks", "cyber-infrastructure" ], "domainSpecificKnowledge" : [ "Crypto investigations", "Crypto-enabled scams", "Financial crime", "Scam compound operators", "Threat networks", "Fraud networks", "Cyber infrastructure" ], "problemSolvingSkills" : "Pivoting from leads", "specialRequirements" : "Bangkok presence, Extensive APAC travel", "qualificationsBasic" : "US Citizenship required, 5-8+ years investigative experience, 5-8+ years targeting experience, OSINT tradecraft experience, Cell triangulation experience, IP geolocation experience, GEOINT experience, AdTech analysis experience, Infrastructure attribution experience, Link analysis skills, Pattern analysis skills, AI tools for investigations", "qualificationsPreferred" : "Financial crime experience a plus, Crypto experience a plus, Regional language skills a differentiator", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "BUILD A SAFER WORLD. TRM Labs provides AI-powered intelligence solutions that help public and private sector agencies investigate and disrupt crime. TRM's platforms enable investigators to trace illicit activity, build cases, and construct operating pictures of threat networks. Leading agencies and businesses worldwide rely on TRM to make the world safer and more secure. About the Role TRM Labs builds the intelligence infrastructure behind the world's most consequential crypto investigations. As a Senior All-source Intelligence Analyst, you will anchor TRM's in-region targeting capability — working closely with a pod of investigators operating from Southeast Asia to disrupt crypto-enabled scam networks at their source. You will fuse OSINT collection disciplines, in-region operational access, and financial intelligence to build targeting packages on the scam compound operators, financial service providers, and cyber infrastructure that enable large-scale fraud across the region. The impact you will have: - Run intelligence and OSINT operations end-to-end against scam infrastructure across Southeast Asia, converting collection into targeting-ready intelligence for TRM teams and government partners. - Trace scam compounds geographically and operationally — combining cell triangulation, IP geolocation, GEOINT, adtech, physical OSINT, on-chain attribution, and commercially available data to identify operators, controllers, and movement patterns across across Myanmar, Laos, Cambodia, and Thailand. - Work the intelligence flywheel operationally — processing investigative returns at high volume and feeding victim, operator, and infrastructure data into TRM’s intelligence and product pipelines. - Find the seams — pivot from a single victim, wallet, device, or compound lead into uncovering broader operational networks and multiplying investigative leads. - Partner with TRM’s Scams SME team, on-chain analysts, and the DC-based targeting cell to translate regional collection and disruption strategy into targeting packages that support government enforcement actions. What we're looking for: - US Citizenship required. Bangkok presence or extensive APAC travel required. - 5-8+ years of all-source investigative or targeting experience — federal law enforcement (former 1811s — e.g., FBI, HSI, IRS-CI, Secret Service), Intelligence Community all-source analysis, or mission-aligned private sector equivalent - Operational Leadership — Proven experience building targeting packages for intelligence or law enforcement partners and coordinating small analytic teams or investigative pods in a player-coach capacity. - Investigative & Targeting Experience — in the Intelligence Community, DoD, federal law enforcement, or a mission-aligned private sector environment. - OSINT Tradecraft — Hands-on experience with cell triangulation, IP geolocation, GEOINT, AdTech analysis, and infrastructure attribution. - Targeting & Analysis Skills — Proven ability to build operational intelligence products and pivot from a single lead into broader operational networks using strong link and pattern analysis. - APAC Operational Experience — Southeast Asia field experience (particularly Thailand, Myanmar, Laos, or Cambodia) strongly preferred; regional language skills are a major differentiator. - AI & Investigative Fluency — Comfortable using AI tools to accelerate investigative workflows, synthesize data, and draft operational outputs. - Mission Alignment — Financial crime or crypto experience is a plus, not a requirement. About the Team: - TRM's Primary Intelligence function sits within R&D and leads intelligence product development for government and commercial customers - Close collaboration with TRM's Scams SME team, who provide foundational scam compound domain context - This is a build role: you will establish TRM's APAC field presence and targeting capability from the ground up Team Operating Rhythms - Weekly team syncs to align targeting priorities and review disruption opportunities - Daily async standups via Slack on active work, returns, and target packages in flight - Primary time zone overlap: US Eastern / APAC - All output documented in Notion and TRM’s investigative tools - Surge availability expected during time-sensitive disruption windows LIFE AT TRM We are building a safer world. That promise shows up in how we work every day. TRM moves quickly. We are a high velocity, high ownership team that expects clarity, follow-through, and impact. People who thrive here are energized by hard problems, experimentation, and continuous feedback. If something takes months elsewhere, it will ship here in days. Our work sits at the intersection of AI, national security, and fighting crime. The problems are complex, the stakes are real, and the environment evolves quickly. The pace and intensity of the work reflect the importance of the mission. As a result, the way we operate requires a high level of ownership, adaptability, collaboration, and creative problem-solving. At TRM, you should expect: - Priorities and targets to change quickly as we experiment and iterate - Work that often requires operating with a high degree of ambiguity - A high level of personal ownership and accountability - Close collaboration across teams and functions - Frequent, high-touch communication - Creative problem solving and out-of-the-box thinking - A pace that rewards urgency, adaptability, and outcomes This environment is energizing for people who enjoy building, solving hard problems, and making progress in situations that are not always fully defined. It also requires comfort navigating ambiguity, adjusting course as new information emerges, and maintaining focus and positivity in a fast-moving and intense environment. We also recognize that this style of operating is not for everyone. If you are primarily optimizing for predictability or a consistently balanced workload, we encourage you to use the interview process to pressure test whether this environment is truly the right fit. We want teammates who thrive here, not just survive here. At the same time, many people find this work deeply rewarding. If you are excited by meaningful problems, motivated by ambitious goals, and energized by working alongside mission-driven colleagues, there is a good chance you will find TRM to be an exceptional place to grow and contribute. Learn more: Interviewing at TRM: How We Hire and What Success Looks Like https://www.trmlabs.com/resources/blog/interviewing-at-trm-how-we-hire-and-what-success-looks-like AI FLUENCY AT TRM AI fluency is a baseline expectation at TRM. We believe AI meaningfully changes how top performers operate. We expect every team member to use AI to accelerate and reimagine their craft, not just automate surface tasks. At TRM, AI fluency means you are among the top 10 percent of operators in your function in how you apply AI to: - Accelerate repeatable workflows - Structure and solve problems - Improve output quality - Increase speed and leverage You will be evaluated on applied AI fluency during the interview process. LEADERSHIP PRINCIPLES We hire and grow against three leadership principles. They’re the standards for how we operate, treat each other, and make decisions. - Impact-Oriented Trailblazer: We put customers first and move with speed, focus, and adaptability. We treat every plan like an experiment – test, ship, measure, and iterate quickly. - Master Craftsperson: We care deeply about our craft. We balance speed with high standards, own outcomes end‑to‑end, and invest in getting better everyday. - Inspiring Colleague: We add clarity and energy, not noise. We bring humility, candor, and a one‑team mindset — giving and receiving feedback to make the team stronger. JOIN OUR MISSION At TRM we care deeply about our craft. We are looking for individuals who want their work to matter, who experiment with speed and rigor, and who take pride in building a safer world for billions of people. If you’re excited by TRM’s mission but don’t check every box, we encourage you to apply — we hire for slope, judgment, and the will to learn fast. TRM is a Series C company with $220M in total funding, backed by Blockchain Capital, Goldman Sachs, Bessemer, Y Combinator, Thoma Bravo, and others. Headquartered in San Francisco, TRM operates as a distributed-first company with hubs in Los Angeles, San Francisco, New York, Washington D.C., London, and Singapore. PRIVACY POLICY AND ADDITIONAL INFORMATION By submitting your application, you agree to allow TRM Labs to process your personal information in accordance with our Privacy Policy https://www.trmlabs.com/policies/privacy-policy. We collect the information you provide (such as your resume, work history, and contact details) solely for the purpose of evaluating your candidacy for current and future roles at TRM. Because our hiring cycles for certain positions may span 24 to 36 months, we retain your personal information for up to 36 months from the date of your application. After that period, your data is deleted unless a different retention period is required or permitted by law. If you are located in the European Economic Area, the United Kingdom, or another jurisdiction with applicable data protection laws, you have the right to access, correct, or request deletion of your personal data at any time before that period ends. To exercise any of these rights, contact us at privacy@trmlabs.com. To notify TRM Labs that you believe this job posting is non-compliant, please submit a report through this form https://docs.google.com/forms/d/e/1FAIpQLSc6e8jRCl2cQwgIzXLpIGQXtwvMQh__TcokvO2toAAkT44A6Q/viewform?usp=dialog. No response will be provided to inquiries unrelated to job posting compliance. The use of AI tools of any kind (including but not limited to notetakers, interview assistants, and real-time coaching tools such as Otter.ai, Fireflies, Fathom, Cluey, or similar) during TRM interviews is not permitted without prior approval from TRM. TRM uses its own internal tools for note-taking to ensure a consistent and confidential experience for all candidates. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this form https://docs.google.com/forms/d/e/1FAIpQLSevmAzPxWOYm_7kMHb9lEJlX3tpdBeHvvvNWjsI_6xhUfnXjw/viewform?usp=dialog. RECRUITMENT AGENCIES TRM Labs does not accept unsolicited agency resumes. Please do not forward resumes to TRM employees. TRM Labs is not responsible for any fees related to unsolicited resumes and will not pay fees to any third-party agency or company without a signed agreement. LEARN MORE: COMPANY VALUES https://www.trmlabs.com/culture | INTERVIEWING https://www.trmlabs.com/interviewing | FAQS https://www.trmlabs.com/faq", "summaryDescription" : "Senior All-Source Intelligence Analyst at TRM Labs. Skills: All-source analysis, Intelligence targeting, OSINT collection. Run intelligence operations. 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"llmIndustryConfidence" : 0.9 }, { "id" : "6a0abfb01663d49372df90f7", "title" : "Senior Business Intelligence Analyst", "company" : "Vagaro", "industry" : "SaaS", "salary" : { "min" : 135000.0, "max" : 185000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Business Intelligence Analyst in Pleasanton, United States, adjusted for industry and company size." }, "location" : "Pleasanton, CA", "locations" : [ "Pleasanton", "CA" ], "timestamp" : "2026-06-15T13:43:31.485", "fingerprint" : "c4be8a7c74e9998c7ee12ee1ec7e08112bc50473c194b329a8dd03f3177b57f3", "source" : "breezyhr", "language" : "en", "applyUrl" : "https://vagaro.breezy.hr/p/ec6edf9349c0-senior-business-intelligence-analyst", "externalId" : "ec6edf9349c0", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Pleasanton", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.6624312,-121.8746789" } ], "locationText" : "Pleasanton, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "rawDescription" : "Vagaro", "summaryDescription" : "Senior Business Intelligence Analyst at Vagaro", "createdAt" : "2026-06-14T06:38:53.947", "lastUpdated" : "2026-06-15T13:43:31.485", "ingestTimestamp" : "2026-06-14T06:38:53.947", "mongoId" : "6a0abfb01663d49372df90f7", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 135000, "salaryAnnualMax" : 185000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 0.7777778, "_score" : 540.27686, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "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. 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Engineering teams; Product teams; Client stakeholders", "domainKnowledge" : "Client engagement analytics; Data science principles; Machine learning frameworks; BI platforms; Cloud data stacks; Statistical methods; Data modelling", "domainList" : [ "client-engagement-analytics", "data-science-principles", "machine-learning-frameworks", "bi-platforms", "cloud-data-stacks", "statistical-methods", "data-modelling" ], "domainSpecificKnowledge" : [ "Client engagement analytics", "Data science principles", "Machine learning frameworks", "BI platforms", "Cloud data stacks", "Statistical methods", "Data modelling" ], "toolProficiency" : [ "SQL", "Python", "R", "Spark", "Dbt", "Snowflake", "BigQuery", "Redshift", "Databricks", "Tableau", "Power BI", "Looker", "Scikit-learn", "TensorFlow", "PyTorch" ], "problemSolvingSkills" : "Data analysis; Troubleshooting data issues", "qualificationsBasic" : "4-8 years of experience, Bachelor's degree in Computer Science, Statistics, Mathematics, or related field, Proficiency in SQL, Experience with Python or R", "qualificationsPreferred" : "Master's degree or PhD, Experience with cloud platforms (AWS, GCP, Azure), Experience with data warehousing solutions (Snowflake, BigQuery, Redshift), 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 certification, Dbt Certified certification", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "About Us Sage is on a mission to improve care and quality of life for older adults, starting with those residing in senior living facilities. Falls are the leading cause of injury-related death among adults over 65. And yet, fall prevention and emergency response systems for older adults are archaic and ineffective. At Sage we've built a more modern way of understanding when older adults need help, including methods for residents to alert caregivers when in need of help, and corresponding software for caregivers to triage response. Our company mission is to create a product that our client counterparts love, and this role is a key part of that objective. Sage is a small, tight team of ambitious, multi-disciplinary entrepreneurs. We are a software-enabled, mission-driven company, and are focused only on the problems that are central to achieving that mission. At Sage, we work hard and fast but also know that to build a truly important company, we need to treat our work as a marathon, and not a sprint. The journey matters. About this Role This Senior Analytics Engineer for Client Deployments will be a pivotal technical player in our fast-growing startup. You will focus on new client engagements, prioritizing value creation within the critical first 3-6 months of communities going live. You will act as the technical bridge between our clients, Sage operations teams, and the data architecture that drives our insights. Because on-site context is vital to our success, you should expect up to 25% travel (typically 1-2 weeks at a time maximum) to work directly with clients and ensure seamless deployments. Key Responsibilities Client Engagement & Scoping: Partner closely with clients and Sage operations teams to scope and define technical requirements for new community deployments. Pipeline & Architecture: Build and maintain robust bi-directional data pipelines to ensure seamless, secure data flow between client systems and Sage's infrastructure. Custom Analytics & Modeling: Develop custom analyses, data models, and reporting dashboards that drive immediate, measurable value for clients in their first 3-6 months post-launch. Minimum Qualifications 4–8 years of professional experience in analytics engineering, data engineering, or a closely related technical field. Proven track record of designing and building data pipelines, custom analyses, data models, and reporting systems. Strong client-facing communication skills with experience scoping complex technical requirements alongside both technical and non-technical stakeholders. Ability and willingness to travel up to 25% of the time (in 1-2 week increments). Preferred Qualifications Experience working in a fast-paced B2B startup environment or deploying software to external enterprise clients. Background working with healthcare, senior living, or health-tech data domains. Benefits and Pay Our headquarters are located in New York City's Union Square. We believe in cross team collaboration. We think good ideas can come from anyone, and we've designed our processes to encourage participation from all. While we take our mission seriously, we don't take ourselves too seriously. We like to host offsites, outings, and team meals where we can connect as people, not just as colleagues. We offer office lunch and a fully stocked snack bar. While we are an in-office culture, we allow up to 2 remote days per week. Our benefits package for employees includes competitive base compensation along with stock options. The expected annual salary range for this role is $180,000 to $200,000 USD, depending on your level of expertise, your experience, and your performance in the interview process. We also provide fully-paid health and dental insurance coverage for all of our employees, along with other health benefits including vision insurance, membership to premium primary and urgent care, and online medical health providers. We also have a take as you need time off policy, in addition to 7 paid holidays and a company wide winter break during the holidays. EEO Statement Sage is an equal opportunity employer that is committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws. This policy applies to all employment practices within our organization, including hiring, recruiting, promotion, termination, layoff, recall, leave of absence, compensation, benefits, training, and apprenticeship. Sage makes hiring decisions based solely on qualifications, merit, and business needs at the time.", "summaryDescription" : "Senior Analytics Engineer, Client Engagement at Sage. Skills: Analytics Engineering, Data Engineering, Business Intelligence, Client Engagement. 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Lead complex analytical projects with multi-level dependencies, diverse stakeholder base and unclear paths to solution. Please note: As a global company with employees and clients outside of Quebec, fluency in English as a working language is required for this position. Role: - Lead the process of gathering requirements and translating complex business problems into structured, scalable quantitative analyses. - Partner with functional departments to extract strategic insights from analytical outputs, shape high-impact business recommendations, and deliver them through compelling narratives and comprehensive visualizations. - Guide collaboration with stakeholders and team members to design accurate, scalable, and business-relevant datasets, reports, dashboards, and analyses for both operational and strategic initiatives. - Design robust data models using techniques such as Kimball/dimensional data modelling. - Oversee and optimize data reconciliation/manipulation processes, proactively identifying opportunities for automation, data quality improvement, and integrity/consistency checks. - Champion data governance by embedding best practices into workflows and mentoring stakeholders on discovering, accessing, and effectively leveraging data assets. - Play a key role in advancing internal event tracking and A/B testing systems through continuous improvement and innovation. - Develop predictive and classification models to support strategic initiatives across Product, Customer Success, and Marketing domains. - Mentor junior colleagues on best practices in analytical research, dashboard development, and data storytelling to ensure high-quality, impactful outputs. - Report to the Senior Manager, BI & Analytics. AND A LITTLE BIT OF.... - Stay up to date with developments, innovations, and trends in data, including state-of-the-art machine learning models and large language models (LLMs). - Contributing as part of the wider team to achieve organizational objectives, even if this means doing things that aren’t strictly within the scope of your role. What will make you successful: - Your analysis is not only reliable, accurate, and well-structured, but also demonstrates strategic insight and drives decision-making at a senior level. - You proactively engage with stakeholders to understand and align with their priorities, and you can clearly articulate the broader business context behind each request. - You lead cross-functional collaboration by identifying key contacts across departments and facilitating knowledge sharing to deepen subject matter understanding. - You have expert-level knowledge of data sources across domains (e.g., Product, Marketing) and subdomains (e.g., Product → Storefront), and can guide others in selecting, interpreting, and applying the most relevant data and metrics. Experience needed: - 3+ years of experience as a Data Analyst or in a similar role within analytics, business intelligence, or data science, with a track record of driving measurable business impact. - Strong business acumen and the ability to independently translate complex business needs into robust data requirements and actionable insights. - Advanced proficiency with Python and SQL. - Advanced proficiency with Kimball/dimensional data modelling. - Advanced proficiency with Looker and the use of LookML to design Explores and dashboards. - Familiarity with other modern BI tools such as Tableau or Power BI, with a focus on designing scalable and intuitive dashboards. - Deep understanding of probability theory, statistical inference, and experimental design, including hands-on experience designing, running, and interpreting A/B tests. - Solid foundation in mathematics, including combinatorics, calculus, and mathematical logic. - Proven ability to communicate findings and recommendations effectively using MS Excel and PowerPoint for diverse audiences. - Practical experience with event tracking systems and user behaviour analytics tools. - Applied experience with machine learning models for classification, regression, or clustering, preferably in product, marketing, or customer analytics contexts. - Experience in the e-commerce domain is a strong plus. Skills required: - Ability to manage multiple high-impact projects simultaneously while maintaining focus and delivering high-quality outcomes. - Strong grasp of business context and ability to align analytical work with strategic objectives. - Eagerness to continuously explore and adopt new data systems, tools, and methodologies. - Ability to proactively identify issues, communicate them clearly, and work collaboratively to resolve them. - Ability of working independently and driving initiatives with minimal oversight. - Great attention to data accuracy and integrity. - You are self-driven, detail-oriented, and committed to continuous improvement. - You are comfortable operating in fast-paced, dynamic environments, with the ability to navigate ambiguity and complexity effectively. - You have excellent analytical and organizational skills, with a structured and methodical approach to problem-solving. - Strong written and verbal English language skills. What’s in it for you: Be a changemaker You’ll enjoy: - A flexible work environment that empowers you to do your best work - A culture that celebrates performance - The chance to make an impact in a team that’s big enough for career growth, but lean enough to make your voice heard - Career-defining opportunities Plus benefits designed to keep you happy, healthy and fulfilled. - Flexible paid time off and remote work policies - Equity options, because this is your company too - Contributions to your pension plan. Your future matters - Training opportunities to grow your skills and career - Health and wellness credit so you feel your best - Time off to volunteer and give back to your community - Interest groups, employee-led networks, social committees to sponsored sports teams - Computer purchase program to get your personal MacBook - Enhanced parental leave to support growing families - Lightspeed equity scheme (we are all owners) - Unlimited paid time off policy - People Experience - Our PX benefit allows you to work from pretty much anywhere in the world for 60 days a year - Health insurance: Immediate access to health, dental, vision, and life insurance for you and your eligible dependents. - Employer RRSP contribution of up to 4% of base salary to a maximum of $5,000 - Health and wellness benefit of $500 per year - Employee Technology Purchase Program: Ability to an interest-free loan to purchase certain Apple products - Paid leave and assistance for new parents - Mental health online platform and counselling & coaching services - Volunteer day - We got you covered! A variety of snacks, coffee, and teas are always accessible and available in the office kitchen - Tuesday to Thursday: Lunch is served, and Thursday is Happy Hour with a variety of drinks and snacks. Fuel your growth. Find your people. At Lightspeed, your growth is our priority. We invest in you with continuous learning opportunities, global mobility and benefits designed to support you—all within a driven, diverse and inclusive team that’s passionate about empowering our communities. To all recruitment agencies: Lightspeed does not accept unsolicited agency resumes. If we have not directly engaged your company in writing to supply candidates for a specific vacancy, Lightspeed will not be responsible for any fees related to unsolicited resumes. Lightspeed is a proud equal opportunity employer and we are committed to creating an inclusive and barrier-free workplace. Lightspeed welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process. WHERE TO FROM HERE? Obviously, this has to be mutually beneficial: we want you to step into a role you love, and we want to offer you a place you’re proud to come to every day. For a glimpse into our world check out our career page here https://www.lightspeedhq.com/careers/. Lightspeed is building communities through commerce, and we need people from all backgrounds and lived experiences to do that. We were founded in 2005, in Montreal’s gay village and our original members were all part of the LGBTQ+ community. The ethos of our business has been about inclusion from the very beginning, and we strive to provide a workplace where everyone belongs. WHO WE ARE: Powering the businesses that are the backbone of the global economy, Lightspeed's one-stop commerce platform helps merchants innovate to simplify, scale, and provide exceptional customer experiences. Our cloud commerce solution transforms and unifies online and physical operations, multichannel sales, expansion to new locations, global payments, financial solutions, and connection to supplier networks. Founded in Montréal, Canada in 2005, Lightspeed is dual-listed on the New York Stock Exchange (NYSE: LSPD) and Toronto Stock Exchange (TSX: LSPD). With teams across North America, Europe, and Asia Pacific, the company serves retail, hospitality, and golf businesses in over 100 countries. Lightspeed handles your information in accordance with our Applicant Privacy Statement https://www.lightspeedhq.com/legal/applicant-privacy-statement/. ", "summaryDescription" : "Senior Analyst, Data Operations & Analytics at Lightspeed. Develop and maintain data pipelines. Build and optimize data models", "createdAt" : "2026-06-14T19:25:23.786", "lastUpdated" : "2026-06-16T06:26:17.863", "ingestTimestamp" : "2026-06-14T19:25:23.786", "mongoId" : "6a2cf9a674d8ee00a0a9b52e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Data operations", "Data analysis", "Data warehousing", "ETL processes", "Data pipelines", "Model development", "Algorithm implementation", "Performance tuning", "Data quality assurance", "Data governance", "Data modeling", "Statistical analysis", "Machine learning", "Business intelligence", "Data engineering", "Quantitative analysis", "Agile methodologies", "Cloud data stacks", "ML frameworks", "BI platforms", "Statistical methods", "Regression", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Tableau", "Power BI", "Looker" ], "skillCount" : 34, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 515.9031, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a307662f292fd229c0190f2", "title" : "Senior Commercial Executive", "company" : "Getnet", "industry" : "FinTech", "salary" : { "min" : 240000.0, "max" : 360000.0, "currency" : "BRL", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Commercial Executive in São Paulo, Brazil, adjusted for the FinTech industry and company size." }, "location" : "São Paulo, Brazil", "locations" : [ "São Paulo", "Brazil" ], "timestamp" : "2026-06-16T11:36:47.293", "fingerprint" : "3ffba299cdfb1013e7a0694cbaa7784b8728e9fe6befa7cd0f45926704afdbdc", "source" : "greenhouse", "language" : "pt", "applyUrl" : "https://job-boards.eu.greenhouse.io/getnet/jobs/4892850101", "externalId" : "4892850101", "industryFunction" : { }, "structuredLocations" : [ { "city" : "São Paulo", "country" : "Brazil", "continent" : "sa", "source" : "llm", "workMode" : "onsite", "geo" : "-23.5506507,-46.6333824" } ], "locationText" : "São Paulo, Brazil", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "professionalSkills" : [ "Gestão de carteira", "Relacionamento executivo", "Negociações comerciais", "Renovações contratuais", "Revisões de pricing" ], "hardSkillsList" : [ "Cross-sell", "Upsell" ], "hardSkills" : [ { "name" : "Cross-sell", "level" : "intermediate" }, { "name" : "Upsell", "level" : "intermediate" } ], "majorSkills" : "Gestão de contas, Crescimento de receita, Relacionamento com cliente", "majorSkillsList" : [ "Gestão de contas", "Crescimento de receita", "Relacionamento com cliente" ], "coreResponsibilities" : "Gerenciar carteira de clientes, Desenvolver relacionamentos executivos, Elaborar planos de crescimento, Executar planos de crescimento, Identificar oportunidades de cross-sell, Identificar oportunidades de upsell, Conduzir negociações comerciais, Conduzir renovações contratuais, Conduzir revisões de pricing, Monitorar indicadores de performance, Monitorar rentabilidade, Monitorar utilização dos serviços, Atuar como ponto de contato, Apoiar clientes temas, Garantir retenção da carteira, Garantir expansão da carteira, Acompanhar tendências regulatórias, Acompanhar tendências competitivas", "teamCollaboration" : "Ponto de contato cliente; Áreas internas", "domainKnowledge" : "Soluções de pagamento; Adquirência; Split de Pix; Tokenização; Liquidação; Regulamentação do Banco Central; Instituições de pagamento; Mercado de pagamentos", "domainList" : [ "solucoes-de-pagamento", "adquirencia", "split-de-pix", "tokenizacao", "liquidacao", "regulamentacao-do-banco-central", "instituicoes-de-pagamento", "mercado-de-pagamentos" ], "domainSpecificKnowledge" : [ "Soluções de pagamento", "Adquirência", "Split de Pix", "Tokenização", "Liquidação", "Regulamentação do Banco Central", "Instituições de pagamento", "Mercado de pagamentos" ], "continuousLearning" : "Aprender novo idioma; Plataforma de learning", "outcomesObjectives" : "Crescimento de receita por cliente; Retenção da carteira; Expansão da carteira", "qualificationsBasic" : "Formação superior, Experiência gestão de contas estratégicas (Farmer)", "qualificationsPreferred" : "Ingles e/ou Espanhol nível intermediário ou superior, Conhecimento da regulamentação do Banco Central aplicável a instituições de pagamento, Conhecimento da Resolução BCB nº 522, 264, Experiência empresas de adquirência, subadquirência, fintechs ou processadoras", "workSiteFlexibility" : "Flexible", "rawDescription" : "✨ Seu talento impulsiona o nosso futuro A Getnet é uma empresa global de tecnologia especializada em soluções de pagamento para o comércio. Fundada no Brasil e presente na América Latina e na Península Ibérica, apoiamos mais de 1,3 milhão de comerciantes com serviços completos — da maquininha ao e-commerce. Fazemos parte da PagoNxt, a fintech global do Grupo Santander, e atuamos como um hub de adquirência com forte presença em Espanha, Portugal, Brasil, México, Chile, Argentina e Uruguai. Nossa missão é clara: simplificar os pagamentos com inovação, segurança e escala, ajudando negócios de todos os tamanhos a crescer com agilidade. Oferecemos uma plataforma unificada que integra hardware, software, prevenção à fraude, adquirência, conciliação e serviços financeiros — tudo em um só ecossistema, para que nossos clientes possam focar no crescimento do seu negócio. Fazer parte da Getnet é se juntar a uma empresa que combina a inovação de uma fintech com a solidez de um banco global. Imagine your future. Care for your career. Simplify your journey. Isso significa que você terá a chance de construir soluções de impacto, crescer com oportunidades reais de desenvolvimento e evoluir em uma cultura que valoriza bem-estar, inclusão e clareza. Combinamos flexibilidade, autonomia e colaboração global — para que você possa focar no que importa, se conectar com propósito e ajudar a moldar o futuro. Aqui, você vai encontrar espaço para crescer, oportunidades reais para liderar e uma cultura onde todas as pessoas pertencem e contribuem. ✨ Se você quer fazer parte da próxima geração de soluções financeiras, este é o lugar certo. Já te imagina sendo Nxter? Na Getnet, estamos buscando uma pessoa para a vaga de Executivo Comercial Farmer para se juntar ao nosso time em São Paulo. \uD83D\uDCCCO que você vai fazer Gerenciar uma carteira de clientes do segmento de subadquirência. Desenvolver relacionamentos executivos com tomadores de decisão (C-Level, Diretores e Heads). Elaborar e executar planos de crescimento de receita por cliente. Identificar oportunidades de cross-sell e upsell de soluções de pagamentos. Conduzir negociações comerciais, renovações contratuais e revisões de pricing. Monitorar indicadores de performance, rentabilidade e utilização dos serviços contratados. Atuar como principal ponto de contato entre cliente e áreas internas. Apoiar clientes em temas relacionados a: Adquirência; Gateway; Split de pagamentos; Pix; Tokenização; Antifraude; Liquidação financeira; Regulamentação do Banco Central. Garantir retenção e expansão da carteira. Acompanhar tendências regulatórias e competitivas do mercado de pagamentos. ✅ O que buscamos em você Formação superior. Experiência em gestão de contas estratégicas (Farmer). ✅ O que pode contar pontos a mais Ingles e/ou Espanhol nível intermediário ou superior Conhecimento da regulamentação do Banco Central aplicável a instituições de pagamento. Conhecimento da Resolução BCB nº 522, 264. Experiência em empresas de adquirência, subadquirência, fintechs ou processadoras. \uD83C\uDFAF O que oferecemos \uD83E\uDE7A Assistência médica \uD83E\uDDB7 Assistência odontológica \uD83E\uDD73 Day off de aniversário \uD83D\uDE91 Seguro de vida \uD83D\uDC89 Campanha de vacinação anual \uD83D\uDE8C VT \uD83C\uDF5D VR/VA \uD83D\uDCB0 Bônus anual \uD83D\uDC76 Auxílio creche \uD83C\uDF85 Vale natalino \uD83E\uDD30 Extensão dos períodos de licença maternidade e paternidade \uD83E\uDDE0 Programa de Apoio Pessoal Especializado (PAPE) \uD83C\uDF0E Plataforma Ástex: recurso gratuito para você aprender um novo idioma (inglês, espanhol, francês, italiano, alemão ou português) \uD83D\uDCDA Acesso a uma plataforma de learning conectada a todos os conteúdos do LinkedIn Learning e o'Reilly ♨️ Possibilidade de contratação de empréstimos pessoais com juros menores que os de mercado \uD83D\uDCEC Seguinte passo Candidate-se e se você conhece alguém que possa estar procurando por essa oportunidade, compartilhe.", "summaryDescription" : "Senior Commercial Executive at Getnet. Skills: Gestão de contas, Crescimento de receita, Relacionamento com cliente. Gerenciar carteira de clientes. Desenvolver relacionamentos executivos", "postedDate" : "2026-06-16T01:16:38.223", "createdAt" : "2026-06-16T01:16:38.223", "lastUpdated" : "2026-06-16T11:36:47.293", "ingestTimestamp" : "2026-06-16T01:16:38.223", "mongoId" : "6a307662f292fd229c0190f2", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Cross-sell", "Upsell", "Gestão de contas", "Crescimento de receita", "Relacionamento com cliente", "Gestão de carteira", "Relacionamento executivo", "Negociações comerciais", "Renovações contratuais", "Revisões de pricing", "Soluções de pagamento", "Adquirência", "Split de Pix", "Tokenização", "Liquidação", "Regulamentação do Banco Central", "Instituições de pagamento", "Mercado de pagamentos" ], "skillCount" : 18, "jobCategory" : "sales", "jobSubcategory" : "revenue", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "_score" : 497.54236, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.95 }, { "id" : "694ae6ce70f0b99d589b27ca", "title" : "Commercial Risk Analytics Manager", "company" : "Hyundai Capital America", "salary" : { "min" : 135000.0, "max" : 195000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Manager in Financial Services in Irvine, United States, adjusted for company size and industry." }, "location" : "United States-California-Irvine", "locations" : [ "United States-California-Irvine", "
Headquarters 1 (HCA_HQ1)
3161 Michelson Dr. Ste 1900
Irvine, 92612

" ], "timestamp" : "2026-06-16T01:39:10.590", "fingerprint" : "10c905e78cca8653375e52ad1ec3175cfa27819915e0ddf7e9f52854cbedbd04", "source" : "taleo", "language" : "en", "applyUrl" : "https://hyundaicapital.taleo.net/careersection/ex/jobdetail.ftl?job=108543", "externalId" : "108543", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Irvine", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "33.6856969,-117.8259810" } ], "locationText" : "Irvine, California, United States", "experienceLevel" : "Manager", "remoteFriendly" : false, "rawDescription" : "Who We Are Through our service brands Hyundai Motor Finance, Genesis Finance, and Kia Finance, Hyundai Capital America offers a wide range of financial products tailored to meet the needs of Hyundai, Genesis, and Kia customers and dealerships. We provide vehicle financing, leasing, subscription, and insurance solutions to over 2 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 the following benefits: · Medical, Dental and Vision plans that include no-cost and low-cost plan options · Immediate 401(k) matching and vesting · Vehicle purchase and lease discounts plus monthly vehicle allowances · Paid Volunteer Time Off with company donation to a charity of your choice · Tuition reimbursement What to Expect The Commercial Risk Analytics Manager provides risk analytics and reporting related to the Dealer Finance, Commercial Vehicle Finance and Mobility portfolios. Responsibilities include data gathering, data analytics, reporting, model development/maintenance in support of new products, loss prevention, modeling, forecasting, origination and portfolio management. This role will provide accurate and current information in support of department and business’ policies, administration, regulatory (SOX), portfolio management and tracking, and key risk indicators. In addition, this role will investigate, collect, and analyze auto industry and economic information and data impacting credit risk, including but not limited to, information regarding economic trends forecasts, commercial real estate markets, emerging technology, competitor vehicles and sales, commercial vehicle financing and mobility areas. What You Will Do 1. Data Collection and Analysis · Gather, maintain, report, reconcile and analyze data with the most up-to-date, accurate and functionally useful information in support of department and business’ policies, administration and regulatory requirements · Build reports, dashboards and monitoring tools and early warning systems to enhance credit decision-making and information reporting to upper management and Risk Control Committee · Develop and enhance early warning, inventory analysis and risk management reports that can be leveraged by the Commercial and Sales teams to effectively manage risk in the Commercial & Mobility portfolios · Develop and maintain portfolio risk scorecards and underwriting risk models for Dealer, Commercial Vehicle and Mobility lending products and financial reporting · Develop Risk subject matter expertise in support of New Market Introductions and New Product Introductions by completing market/product research, Collaborate with Mobility team to assess and build out new markets and new products · Prepare loss estimates to support new Mobility products, including the development of probability of default and loss given default analyses · Develop and maintain monthly pre-approval lists in support of Subscription and other Commercial and new Mobility products · Support Dealer, Commercial Vehicle Finance and Mobility portfolio by developing and monitoring the scorecard performance and other key indicators. Analyze and recommend actions if indicators deviate from expected performance · Investigate and analyze auto industry, dealer and commercial vehicle financial statements, economic information and data impacting credit risk, including but not limited to economic trends forecasts, commercial real estate markets, Industry segment specific risks competitor vehicles and products and commercial vehicle financing areas · Ensure the accuracy of key credit assumptions that are inputs into the Pricing, Loss forecast, early warning, risk grading models, and develop tracking and analysis that enables periodic updates made in a systemic process to meet the needs of the business · Coordinate with the Commercial and Mobility teams to facilitate the integration of new systems, including the development of new and replacement reporting required to meet business needs. 2. Reporting · Produce reports on Allowance for Loan and Lease Losses (ALLL), IFRS9, CECL for Dealer, Commercial Vehicle Finance and Mobility portfolios · Support monthly, quarterly, ad hoc and annual OP requests from FP&A and Risk. · Develop appropriate forecasting tools and provide timely forecast projections for review and approval by Director Commercial Risk, Enterprise Risk Director and CRO. · Develop and provide reports to support ad-hoc strategic projects and deliverables · Produce periodic and ad-hoc reporting and respond to Corporate and field requests 3. Compliance and Communication · Perform verification of the CECL and IFRS9 and disclosure reports accuracy including input verifications, outcome reasonableness, and variance explanations in compliance with regulatory requirements (SOX). · Present the results to Commercial management for monthly sign-off and answer all the questions for smooth approval. · Conduct monthly meetings with Accounting, Finance, Commercial Credit, Mobility and Risk to share the results and provide clarifications. · Provide support and business rationale for external auditors with questions. · Create quarterly Memo for Commercial and Mobility portfolios including obtaining consensus from accounting and sign off from CRO and CFO 4. Project Management · Maintain project schedules, task details and coordinate efforts and deliverables with associates in department projects. · Maintain relevant support documentation for regulatory requirements. What You Will Bring · Minimum 5-7 years progressive experience in quantitative analysis within automotive captive, banking, commercial lending, equipment finance or related field. · Prior credit scorecard and statistical model development experience preferred. · Bachelor’s Degree in Business Administration, Mathematics, Economics, Operations Research, Statistics, Computer Science or related quantitative experience. · Demonstrate strong business acumen, technical skills and an ability to partner with stakeholders. · Strong PC skills; Python, SAS, SQL, Microsoft Access, Excel, Word, Power Point, VBA, Tableau. · Ability to work on multiple projects and attention to details and timeline. · Ability to explain complex data analysis. · Ability to develop statistical models (PD, LGD, Scorecards, Reserves, etc.). Work Environment Employees in this class are subject to extended periods of sitting, standing and walking, and using a computer. Work is performed in an 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" : "Commercial Risk Analytics Manager at Hyundai Capital America", "createdAt" : "2026-06-14T20:45:10.007", "lastUpdated" : "2026-06-16T01:39:10.590", "ingestTimestamp" : "2026-06-14T20:45:10.007", "mongoId" : "694ae6ce70f0b99d589b27ca", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 135000, "salaryAnnualMax" : 195000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Manager", "dataQualityScore" : 0.6666667, "_score" : 493.9918, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Financial Services", "llmIndustryConfidence" : 0.95 }, { "id" : "6a30503df292fd229ceeddb9", "title" : "Senior Business Intelligence Developer", "company" : "Ibotta", "industry" : "Shared Services Job Group", "salary" : { "min" : 110000.0, "max" : 126000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Hybrid - Denver", "locations" : [ "Hybrid - Denver" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T11:23:41.278", "fingerprint" : "af8aaa8f5040a5d15fe805b3dffab9e60a4f31e1744f791823c3f046ad2ad234", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/ibotta/28354c7c-7cb6-421f-810d-0cd620c2092f/application", "externalId" : "28354c7c-7cb6-421f-810d-0cd620c2092f", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Denver", "state" : "Colorado", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "39.7392364,-104.9848620" } ], "locationText" : "Denver, Colorado, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceMaxYears" : 7, "experienceLevel" : "Senior", "technicalSkills" : "SQL, Python, R, Scala, Spark, Dbt, Tableau, Power BI, Looker, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Dbt Cloud, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, SageMaker, Athena, GCP, Vertex AI, Azure, Synapse, ML Studio", "professionalSkills" : [ "Data engineering", "Machine learning", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Data modelling" ], "hardSkillsList" : [ "Statistical methods", "Regression analysis", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference" ], "hardSkills" : [ { "name" : "Statistical methods", "level" : "intermediate" }, { "name" : "Regression analysis", "level" : "intermediate" }, { "name" : "Classification", "level" : "intermediate" }, { "name" : "Clustering", "level" : "intermediate" }, { "name" : "Time-series analysis", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" } ], "majorSkills" : "Data science, Data engineering, Machine learning, Business intelligence", "majorSkillsList" : [ "Data science", "Data engineering", "Machine learning", "Business intelligence" ], "coreResponsibilities" : "Develop and maintain data pipelines, Build and optimize data models, Design and implement BI solutions, Perform complex data analysis, Develop and deploy machine learning models, Collaborate with stakeholders, Ensure data quality and integrity, Stay current with industry trends", "teamCollaboration" : "Cross-functional teams; Stakeholders", "toolProficiency" : [ "Tableau", "Power BI", "Looker", "Snowflake", "BigQuery", "Redshift", "Databricks", "Dbt", "Fivetran", "Airflow", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM", "Hugging Face", "MLflow", "AWS SageMaker", "GCP Vertex AI", "Azure ML Studio" ], "qualificationsBasic" : "5+ years Python, SQL proficiency, Bachelor's degree", "qualificationsPreferred" : "PhD preferred, GCP Professional Data Engineer, AWS Data Analytics, Databricks Certified, Dbt Certified", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Ibotta is looking for a Senior Business Intelligence Developer to join our innovative team and contribute to our mission to Make Every Purchase Rewarding. As a Senior BI Developer on the Client Analytics team, you will help empower our company to make data-driven decisions by providing the right data at the right time to teams across Ibotta. You will become a “go to” expert on all things data, working with key stakeholders to drive business understanding and measurement through the production and interpretation of key reporting. This position is located in Denver, Colorado as a hybrid position requiring 3 days in office (Tuesday, Wednesday, and Thursday). Candidates must live in the United States. Not based in Denver? We will offer a relocation bonus to help make your move to the Mile High City a smooth one. What you will be doing: - Provide support across the company through reporting, monitoring, tracking, and analyzing business performance and results - Craft the best data stories possible and visualize them effectively for teams across Ibotta - Analyze requirements and architect appropriate solutions, with detailed design documents - Leverage reporting best practices to automate reports and find creative solutions to maximize reporting output - Develop a logical, structured approach to conduct ad-hoc analyses and work backwards from hypotheses - Sample projects: - Extract, wrangle, and automate large data transfers (on the order of trillions of rows) to democratize data and empower data-driven decision making across the company - Manage, monitor, and provide recommendations on the quality of various data streams - Design and create aggregate and summary tables for reporting efficiency purposes - Analyze and deliver data to provide actionable insights about the effectiveness of the business above and beyond standard analysis - Embrace and uphold Ibotta’s Core Values: Integrity, Boldness, Ownership, Teamwork, Transparency & A good idea can come from anywhere What we are looking for: - 5-7+ years of experience in Analytics within an agile organization (or equivalent academic work) as well as familiarity with data warehousing and business intelligence platforms - Skilled experience in SQL - Bachelor’s degree in Computer Science, Engineering, Analytics or a related field required - Proven ability to develop, maintain, automate, visualize, and communicate reporting for management and internal clients - Consistent ability to work collaboratively throughout the organization to drive towards common goals - Ability to clearly and professionally communicate data, processes, and results to senior leadership - Excellent oral and written communication skills - Detailed-Oriented team player with an ownership mindset Preferred Qualifications: - Previous experience working in CPG organizations - Experience with Looker Business Intelligence platform - Experience using Snowflake Data Warehouse - Knowledge of Airflow, Qubole, Git, Python - Experience with event-driven architecture About Ibotta (\"I bought a...\") Ibotta (NYSE: IBTA) is a leading performance marketing platform allowing brands to deliver digital promotions to over 200 million consumers through a network of publishers called the Ibotta Performance Network (IPN). The IPN allows marketers to influence what people buy, and where and how often they shop – all while paying only when their campaigns directly result in a sale. American shoppers have earned over $2.6 billion through the IPN since 2012. The largest tech IPO in history to come out of Colorado, Ibotta is headquartered in Denver, and is continually listed as a top place to work by The Denver Post and Inc. Magazine. To learn more about what our Tech teams are doing day to day, visit Building Ibotta on https://medium.com/building-ibottaMedium.com http://Medium.com. Additional Details: - This position is located in Denver, CO and includes competitive pay, flexible time off, benefits package (including medical, dental, vision), Employee Stock Purchase Program, and 401k match. Denver office perks include paid parking, snacks, and occasional meals. - Base compensation range: $110,000 - $126,000. Equity is included in overall compensation package. This compensation range is specific to the United States labor market and may be adjusted based on actual experience. - Ibotta is an Equal Opportunity Employer. Ibotta’s employment decisions are made without regard of race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation, or any other legally protected status. - Applicants must be currently authorized to work in the United States on a full-time basis. - Applicants are accepted until the position is filled. - For the security of our employees and the business, all employees are responsible for the secure handling of data in accordance with our security policies, identifying and reporting phishing attempts, as well as reporting security incidents to the proper channels. Recruiting Agency Notice Ibotta does not accept agency resumes and is not responsible for any fees related to unsolicited resumes. Please do not forward resumes to any Ibotta employees. #LI-Hybrid #BI-Hybrid", "summaryDescription" : "Senior Business Intelligence Developer at Ibotta. Skills: Data science, Data engineering, Machine learning, Business intelligence. Develop and maintain data pipelines. Build and optimize data models", "createdAt" : "2026-06-16T00:28:07.559", "lastUpdated" : "2026-06-16T11:23:41.278", "ingestTimestamp" : "2026-06-16T00:28:07.559", "mongoId" : "6a30503df292fd229ceeddb9", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 110000, "salaryAnnualMax" : 126000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Statistical methods", "Regression analysis", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference", "Data science", "Data engineering", "Machine learning", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Data modelling", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Tableau", "Power BI", "Looker", "Snowflake", "BigQuery", "Redshift", "Databricks", "Dbt", "Fivetran", "Airflow", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM", "Hugging Face", "MLflow", "AWS SageMaker", "GCP Vertex AI", "Azure ML Studio" ], "skillCount" : 38, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 492.532, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "E-Commerce", "llmIndustryConfidence" : 0.98 }, { "id" : "6a305088f292fd229cef193c", "title" : "Pricing and Commercial Development Analyst", "company" : "SIXT", "industry" : "Leisure And Travel", "salary" : { "min" : 75000.0, "max" : 105000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Pricing and Commercial Development Analyst in Fort Lauderdale, United States, adjusted for the automotive industry and company size." }, "location" : "Fort Lauderdale, FL, United States", "locations" : [ "Fort Lauderdale", "FL", "United States" ], "timestamp" : "2026-06-16T08:28:46.369", "fingerprint" : "22a5e8cd315053b9eac24dd72444d5d68af61b36586c5930f09588aa5f929798", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/SIXT/744000132266148-pricing-and-commercial-development-analyst", "externalId" : "744000132266148", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Fort Lauderdale", "state" : "Florida", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "26.1223084,-80.1433786" } ], "locationText" : "Fort Lauderdale, Florida, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "mid", "technicalSkills" : "SQL, Tableau, Power BI, Python", "professionalSkills" : [ "Pricing strategy", "Commercial analytics", "Revenue management", "Business analysis", "Quantitative analysis" ], "hardSkillsList" : [ "Data interpretation", "Business recommendations" ], "hardSkills" : [ { "name" : "Data interpretation", "level" : "intermediate" }, { "name" : "Business recommendations", "level" : "intermediate" } ], "majorSkills" : "Pricing strategy, Commercial initiatives, Business performance analysis", "majorSkillsList" : [ "Pricing strategy", "Commercial initiatives", "Business performance analysis" ], "coreResponsibilities" : "Analyze pricing performance, Analyze customer behavior, Analyze market trends, Identify opportunities to improve revenue, Identify opportunities to improve commercial results, Support development of pricing strategies, Support execution of pricing strategies, Support development of promotions, Support execution of promotions, Support development of commercial initiatives, Support execution of commercial initiatives, Monitor key business metrics, Monitor competitive activity, Monitor performance trends, Provide actionable recommendations to leadership, Develop reporting, Develop dashboards, Develop ad-hoc analyses, Support commercial decision-making, Support strategic planning, Collaborate with Revenue Management, Collaborate with Sales, Collaborate with Marketing, Collaborate with Operations, Collaborate with Fleet Strategy, Evaluate business opportunities, Optimize performance, Contribute to commercial development projects, Focus on growth, Focus on profitability, Focus on process improvement, Focus on customer acquisition", "teamCollaboration" : "Cross-functional teams; Revenue Management; Sales; Marketing; Operations; Fleet Strategy", "domainKnowledge" : "Pricing strategy; Market dynamics; Customer behavior; Profitability drivers; Business performance metrics", "domainList" : [ "pricing-strategy", "market-dynamics", "customer-behavior", "profitability-drivers", "business-performance-metrics" ], "domainSpecificKnowledge" : [ "Pricing strategy", "Market dynamics", "Customer behavior", "Profitability drivers", "Business performance metrics" ], "toolProficiency" : [ "Microsoft Excel", "SQL", "Tableau", "Power BI", "Python" ], "communicationSkills" : "Present insights clearly", "documentationSkills" : "Develop reporting; Develop dashboards", "continuousLearning" : "Training programs; Mentorship; Advancement opportunities", "problemSolvingSkills" : "Solve complex business challenges; Analytical insights", "qualificationsBasic" : "Bachelor's degree in Business, Finance, Economics, Marketing, Analytics, Mathematics, Statistics, or a related field, Advanced proficiency in Microsoft Excel", "qualificationsPreferred" : "Experience in pricing, commercial analytics, revenue management, strategy, consulting, or business analysis", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "We are seeking a Pricing & Commercial Development Analyst to join our Commercial Development team. In this role, you will support pricing strategy, commercial initiatives, and business performance analysis across the North American market. You will leverage data, market intelligence, and analytical insights to identify growth opportunities, optimize commercial performance, and support strategic decision-making. This opportunity is ideal for a highly analytical professional who enjoys solving complex business challenges, working cross-functionally, and influencing commercial strategy through data-driven insights. YOUR ROLE AT SIXT * You analyze pricing performance, customer behavior, and market trends to identify opportunities that improve revenue and commercial results. * You support the development and execution of pricing strategies, promotions, and commercial initiatives across multiple markets and channels. * You monitor key business metrics, competitive activity, and performance trends to provide actionable recommendations to leadership. * You develop reporting, dashboards, and ad-hoc analyses that support commercial decision-making and strategic planning. * You collaborate with Revenue Management, Sales, Marketing, Operations, and Fleet Strategy teams to evaluate business opportunities and optimize performance. * You contribute to commercial development projects focused on growth, profitability, process improvement, and customer acquisition. YOUR SKILLS MATTER * Education & Experience – Bachelor's degree in Business, Finance, Economics, Marketing, Analytics, Mathematics, Statistics, or a related field. Experience in pricing, commercial analytics, revenue management, strategy, consulting, or business analysis preferred. * Analytical Expertise – Strong quantitative and analytical skills with the ability to interpret large datasets, identify trends, and develop actionable business recommendations. * Technical Skills – Advanced proficiency in Microsoft Excel required. Experience with SQL, Tableau, Power BI, Python, or other analytical tools is highly desirable. * Commercial Acumen – Understanding of pricing strategy, market dynamics, customer behavior, profitability drivers, and business performance metrics. * Communication & Collaboration – Strong communication skills with the ability to present insights clearly and partner effectively with cross-functional stakeholders. * Ownership & Execution – Self-motivated, detail-oriented, and capable of managing multiple projects and priorities in a fast-paced environment. WHAT WE OFFER * Exclusive Employee Rentals – Leverage special rental discounts exclusive to employees, offering great savings for you, friends, and family. * Additional Employee Perks – Benefit from various employee perks, including discounts on fitness memberships, travel, entertainment, and other lifestyle programs. * Career Growth Opportunities – We invest in your professional development through training programs, mentorship, and advancement opportunities within a global organization. * Paid Time Off – Enjoy paid vacation, holidays, and sick leave to support work-life balance and personal well-being. * Comprehensive Healthcare & Life Benefits – Access medical, dental, vision, life insurance, and disability coverage designed to support you and your family. * 401(k) Retirement Savings Plan – Prepare for your future with a competitive retirement savings program. ## Additional Information About us: We are a globally leading mobility service provider with a revenue of €4.00 billion and around 9,000 employees worldwide. Our mobility platform ONE combines our products SIXT rent (car rental), SIXT share (car sharing), SIXT ride (taxi, ride, and chauffeur services), and SIXT+ (car subscription), giving our customers access to our fleet of 350,000 vehicles, the services of 4,000 cooperation partners, and around 5 million drivers worldwide. Together with our franchise partners, we are present in more than 110 countries at 2,000 rental stations. At SIXT, top-tier customer experience and outstanding customer service are our highest priorities. We believe in true entrepreneurship and long-term stability and align our corporate strategy with foresight. Get started with us and apply now!", "summaryDescription" : "Pricing and Commercial Development Analyst at SIXT. Skills: Pricing strategy, Commercial initiatives, Business performance analysis. Analyze pricing performance. 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Revenue Management; Sales; Marketing; Operations; Fleet Strategy teams", "domainKnowledge" : "Pricing strategy; Market dynamics; Customer behavior; Profitability drivers; Business performance metrics", "domainList" : [ "pricing-strategy", "market-dynamics", "customer-behavior", "profitability-drivers", "business-performance-metrics" ], "domainSpecificKnowledge" : [ "Pricing strategy", "Market dynamics", "Customer behavior", "Profitability drivers", "Business performance metrics" ], "toolProficiency" : [ "Microsoft Excel", "SQL", "Tableau", "Power BI", "Python" ], "communicationSkills" : "Present insights clearly", "continuousLearning" : "Training programs; Mentorship; Advancement opportunities", "problemSolvingSkills" : "Solving complex business challenges", "qualificationsBasic" : "Bachelor's degree in Business, Finance, Economics, Marketing, Analytics, Mathematics, Statistics, or a related field, Advanced proficiency in Microsoft Excel", "qualificationsPreferred" : "Experience in pricing, commercial analytics, revenue management, strategy, consulting, or business analysis", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "We are seeking a Pricing & Commercial Development Analyst to join our Commercial Development team. In this role, you will support pricing strategy, commercial initiatives, and business performance analysis across the North American market. You will leverage data, market intelligence, and analytical insights to identify growth opportunities, optimize commercial performance, and support strategic decision-making. This opportunity is ideal for a highly analytical professional who enjoys solving complex business challenges, working cross-functionally, and influencing commercial strategy through data-driven insights. YOUR ROLE AT SIXT * You analyze pricing performance, customer behavior, and market trends to identify opportunities that improve revenue and commercial results. * You support the development and execution of pricing strategies, promotions, and commercial initiatives across multiple markets and channels. * You monitor key business metrics, competitive activity, and performance trends to provide actionable recommendations to leadership. * You develop reporting, dashboards, and ad-hoc analyses that support commercial decision-making and strategic planning. * You collaborate with Revenue Management, Sales, Marketing, Operations, and Fleet Strategy teams to evaluate business opportunities and optimize performance. * You contribute to commercial development projects focused on growth, profitability, process improvement, and customer acquisition. YOUR SKILLS MATTER * Education & Experience – Bachelor's degree in Business, Finance, Economics, Marketing, Analytics, Mathematics, Statistics, or a related field. Experience in pricing, commercial analytics, revenue management, strategy, consulting, or business analysis preferred. * Analytical Expertise – Strong quantitative and analytical skills with the ability to interpret large datasets, identify trends, and develop actionable business recommendations. * Technical Skills – Advanced proficiency in Microsoft Excel required. Experience with SQL, Tableau, Power BI, Python, or other analytical tools is highly desirable. * Commercial Acumen – Understanding of pricing strategy, market dynamics, customer behavior, profitability drivers, and business performance metrics. * Communication & Collaboration – Strong communication skills with the ability to present insights clearly and partner effectively with cross-functional stakeholders. * Ownership & Execution – Self-motivated, detail-oriented, and capable of managing multiple projects and priorities in a fast-paced environment. WHAT WE OFFER * Exclusive Employee Rentals – Leverage special rental discounts exclusive to employees, offering great savings for you, friends, and family. * Additional Employee Perks – Benefit from various employee perks, including discounts on fitness memberships, travel, entertainment, and other lifestyle programs. * Career Growth Opportunities – We invest in your professional development through training programs, mentorship, and advancement opportunities within a global organization. * Paid Time Off – Enjoy paid vacation, holidays, and sick leave to support work-life balance and personal well-being. * Comprehensive Healthcare & Life Benefits – Access medical, dental, vision, life insurance, and disability coverage designed to support you and your family. * 401(k) Retirement Savings Plan – Prepare for your future with a competitive retirement savings program. ## Additional Information About us: We are a globally leading mobility service provider with a revenue of €4.00 billion and around 9,000 employees worldwide. Our mobility platform ONE combines our products SIXT rent (car rental), SIXT share (car sharing), SIXT ride (taxi, ride, and chauffeur services), and SIXT+ (car subscription), giving our customers access to our fleet of 350,000 vehicles, the services of 4,000 cooperation partners, and around 5 million drivers worldwide. Together with our franchise partners, we are present in more than 110 countries at 2,000 rental stations. At SIXT, top-tier customer experience and outstanding customer service are our highest priorities. We believe in true entrepreneurship and long-term stability and align our corporate strategy with foresight. Get started with us and apply now!", "summaryDescription" : "Pricing and Commercial Development Analyst at SIXT. Skills: Pricing strategy, Commercial initiatives, Business performance analysis, Data analysis. Analyze pricing performance. Analyze customer behavior", "postedDate" : "2026-06-15T18:45:29.000", "createdAt" : "2026-06-15T21:39:46.326", "lastUpdated" : "2026-06-16T04:37:09.080", "ingestTimestamp" : "2026-06-15T21:39:46.326", "mongoId" : "6a305001f292fd229ceeba3a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 75000, "salaryAnnualMax" : 105000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Data interpretation", "Trend identification", "Business recommendations", "Pricing strategy", "Commercial initiatives", "Business performance analysis", "Data analysis", "Commercial analytics", "Revenue management", "Business analysis", "Quantitative analysis", "Market dynamics", "Profitability drivers", "Business metrics", "Customer behavior", "Business performance metrics", "Microsoft Excel", "SQL", "Tableau", "Power BI", "Python" ], "skillCount" : 21, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "_score" : 487.79648, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Automotive", "llmIndustryConfidence" : 0.95 }, { "id" : "6a3085c4f292fd229c07b704", "title" : "Manager, Business Intelligence", "company" : "Medely", "industry" : "Finance & Accounting Department", "salary" : { "min" : 136000.0, "max" : 152000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "Remote", "locations" : [ "Remote" ], "timestamp" : "2026-06-16T11:46:24.542", "fingerprint" : "4d6dc4cc7806fd7a7099d1e26757d5d34cdc3a3c169ceb9e4b4222b2090ce1d7", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/medely/3eaa08f0-fc15-4cf5-9e02-7ab85d123710/application", "externalId" : "3eaa08f0-fc15-4cf5-9e02-7ab85d123710", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "technicalSkills" : "SQL, Python, R, BI tools, Data warehousing, ETL, Data modeling, Cloud platforms, AWS, GCP, Azure, Data visualization, A/B testing, Statistical analysis, Machine learning", "professionalSkills" : [ "Data analysis", "Business intelligence", "Data visualization", "Problem solving" ], "hardSkillsList" : [ "Data analysis", "Business intelligence", "Data visualization", "SQL", "Python", "R", "ETL", "Data modeling", "Statistical analysis", "Machine learning" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Business intelligence", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" }, { "name" : "SQL", "level" : "intermediate" }, { "name" : "Python", "level" : "intermediate" }, { "name" : "R", "level" : "intermediate" }, { "name" : "ETL", "level" : "intermediate" }, { "name" : "Data modeling", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Machine learning", "level" : "intermediate" } ], "majorSkills" : "Data analytics, Business intelligence, SQL, BI tools", "majorSkillsList" : [ "Data analytics", "Business intelligence", "SQL", "BI tools" ], "coreResponsibilities" : "Develop and maintain BI dashboards and reports, Analyze data to identify trends and insights, Collaborate with stakeholders to understand data needs, Develop and implement data models, Design and build ETL processes, Ensure data quality and integrity, Support data-driven decision-making, Perform ad-hoc data analysis", "teamCollaboration" : "Stakeholder collaboration", "toolProficiency" : [ "BI tools" ], "problemSolvingSkills" : "Problem solving; Data analysis", "qualificationsBasic" : "5+ years of experience in data analytics or business intelligence, Proficiency in SQL, Experience with BI tools", "qualificationsPreferred" : "Experience with Python or R, Experience with data warehousing concepts, Experience with cloud platforms (AWS, GCP, Azure), Experience with data modeling, Experience with ETL processes, Experience with data visualization best practices, Experience with A/B testing, Experience with statistical analysis, Experience with machine learning concepts", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "The Company Medely is a high-growth series-C technology start-up reimagining the future of healthcare work by providing an on-demand marketplace and workforce management tools. With the support of top-tier investors, Medely has quickly become a go-to platform for healthcare professionals to instantly access high-paying jobs with the freedom and flexibility to work when and where they want. As a fully remote team of sharp, collaborative, and entrepreneurial individuals, we are dedicated to redefining the way healthcare workers and facilities work together to provide for patients. We are looking for passionate and skilled professionals to join our team and help us take on tough challenges in this fast-expanding healthcare industry segment. Join us in our mission to transform the healthcare staffing industry and improve patient lives! The Opportunity Full-Time · Reports to VP, Financial Operations Medely is building the infrastructure layer for healthcare staffing - a marketplace that connects thousands of healthcare professionals with facilities that need them, in real time. It's a complex, data-rich business, and the decisions that determine how we grow, where we invest, and how we serve our customers are increasingly being driven by the quality of our analytics. That's where you come in. We're looking for a Manager of Business Intelligence who is equal parts analytical rigor and business instinct - someone who doesn't just build dashboards, but builds understanding. You'll lead a BI Analyst, own the execution of our BI roadmap, and work directly with the VP of Financial Operations and cross-functional leadership to turn data into decisions that move the business. If you're the kind of person who finds satisfaction in making a complex system legible - who gets energized by ambiguous problems, clean data models, and stakeholders who actually use what you build - this role was designed for you. What You'll Own - Be hands-on with the work. You won't just delegate. You'll write SQL, build dashboards, run analytical deep-dives, and produce models that generate real product and business insights. You're still a craftsperson. - Drive self-service analytics across the org. A big part of this role is making data accessible to people who aren't analysts. You'll train and enable business partners to navigate Delphina (our BI platform), set the governance standards that keep data trustworthy, and build the infrastructure so teams can answer their own questions -without creating chaos. - Translate complexity into clarity. You'll partner with operational and functional stakeholders to monitor business health, surface trends, and bring structure to ambiguous problems. The best outcome isn't a beautiful chart - it's a decision that wouldn't have been possible without you. - Build for scale, not just today. You'll contribute to a BI roadmap that balances short-term execution with long-term architecture - including alerting, anomaly detection, and applying AI/ML techniques to accelerate insight generation where it creates real leverage. - Work directly with leadership. Reporting into the VP of Financial Operations means high visibility and real exposure. Your work will directly inform how Medely's leadership team thinks about growth, operations, and strategy. Who You Are: - A minimum of 5 years in analytics, business intelligence, data science, or a related field - with at least one year managing a direct report. - Advanced SQL is non-negotiable. You write clean, optimized queries and you understand the systems underneath them. - Strong proficiency in a BI tool (Tableau, Power BI, or similar) and a real understanding of what makes a dashboard useful vs. just pretty. - Python or another scripting language for data manipulation and workflow automation. - Experience structuring ambiguous problems and communicating findings to both technical and non-technical audiences - Comfort with experimentation - designing tests, reading results, and explaining what they mean. - Familiarity with AI/ML concepts and an appetite to apply them to real analytics problems. - A bias toward ownership. You don't wait to be told what matters - you figure it out and move. What Will Set You Apart - Startup or marketplace experience. - Hands-on experience applying LLM-based or ML solutions to analytics workflows. - Interest in healthcare technology and the infrastructure that makes it work. Why This Role, Why Now Medely is at a stage where the analytical infrastructure we build in the next 12-18 months will shape how we scale for years. This role has real scope - a platform to own, a leadership team that wants to be data-informed, and a business complex enough to keep you intellectually engaged for a long time. You'll have ownership. You'll have visibility. And you'll do work that actually matters. Why Medely: Benefits & Perks - Competitive Compensation: Based on experience and performance - Long-term Incentives: 401k - Healthcare Benefits: Full suite of benefits including medical, dental, and vision insurance - Flexibility: We believe that work/life balance is important, so we offer flexible and unlimited PTO - Paid parental leave - Purpose: Join a growing mission-oriented startup that is modernizing the healthcare industry nationally! - Ownership: Drive meaningful business impact on a team you’ll help build and define! - Remote: Work in a digital environment with all the tools to achieve your work as though you were in the office! We're an equal opportunity employer to all. We interview and hire applicants of all backgrounds, orientations, expressions, and identities. Work location is flexible if approved by Medely. Medely does not accept unsolicited resumes from agencies. We consider any resume (CV) or biography received from an agency or outside recruiter without prior approval from a member of the Medely Human Resources or Recruiting team to be unsolicited and gratuitous, and such submissions will not be recognized by Medely for purposes of “ownership” of the candidate. We are an E-Verify company.", "summaryDescription" : "Manager, Business Intelligence at Medely. Skills: Data analytics, Business intelligence, SQL, BI tools. Develop and maintain BI dashboards and reports. Analyze data to identify trends and insights", "createdAt" : "2026-06-16T01:59:52.495", "lastUpdated" : "2026-06-16T11:46:24.542", "ingestTimestamp" : "2026-06-16T01:59:52.495", "mongoId" : "6a3085c4f292fd229c07b704", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 136000, "salaryAnnualMax" : 152000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Data analysis", "Business intelligence", "Data visualization", "SQL", "Python", "R", "ETL", "Data modeling", "Statistical analysis", "Machine learning", "Data analytics", "BI tools", "Problem solving" ], "skillCount" : 13, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "_score" : 484.9346, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.97 }, { "id" : "6a305ae9f292fd229cf57208", "title" : "Senior Process Intelligence and Digital Transformation Consultant - AI & Process Analytics (Public Sector)", "company" : "Celonis", "industry" : "SaaS", "salary" : { "min" : 85000.0, "max" : 125000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline salary for a Senior Process Intelligence and Digital Transformation Consultant in Paris, France, adjusted for the SaaS industry and company size." }, "location" : "Paris, France", "locations" : [ "Paris", "France" ], "timestamp" : "2026-06-16T09:00:41.312", "fingerprint" : "cbf7dc66608f7c855776b09a74f860bc6e23093a30c97abba71a56c8082dcba7", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/celonis/jobs/7773716003?gh_jid=7773716003", "externalId" : "7773716003", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Paris", "country" : "France", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "48.8534951,2.3483915" } ], "locationText" : "Paris, France", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "AI, ML, Python, Generative AI, RAG, Prompt engineering, Agent-based systems, LLM", "professionalSkills" : [ "Solutions consulting", "Data consulting", "AI consulting", "Technical pre-sales", "Sales engineering", "Value engineering", "Solution architecture", "Business process analysis", "Problem framing", "Solution design" ], "hardSkillsList" : [ "Process Intelligence", "Process Mining", "AI solution architecture", "Business value realization" ], "hardSkills" : [ { "name" : "Process Intelligence", "level" : "intermediate" }, { "name" : "Process Mining", "level" : "intermediate" }, { "name" : "AI solution architecture", "level" : "intermediate" }, { "name" : "Business value realization", "level" : "intermediate" } ], "majorSkills" : "Process Intelligence, AI, Digital Transformation, Customer facing", "majorSkillsList" : [ "Process Intelligence", "AI", "Digital Transformation", "Customer facing" ], "coreResponsibilities" : "Identify high-impact AI opportunities, Design AI-powered solutions, Prototype and demonstrate value, Lead AI innovation with customers, Facilitate workshops, Facilitate hackathons, Facilitate innovation sessions, Drive adoption and business impact, Ensure successful implementation, Ensure adoption, Ensure value realization, Develop domain expertise, Scale knowledge across organization", "teamCollaboration" : "Work with enterprise customers; Partner with customer teams; Engage French-speaking customers; Present to executives", "domainKnowledge" : "Business processes; Supply chain; Finance; AI use cases", "domainList" : [ "business-processes", "supply-chain", "finance", "ai-use-cases" ], "domainSpecificKnowledge" : [ "Business processes", "Supply chain", "Finance", "AI use cases" ], "toolProficiency" : [ "Microsoft", "OpenAI", "Databricks" ], "communicationSkills" : "Executive presentations; Customer workshops; Stakeholder interactions", "innovationCreativity" : "Explore new ways AI can transform operations", "problemSolvingSkills" : "Translate business challenges into technical solutions; Translate high-level business needs into specific AI use cases", "outcomesObjectives" : "Deliver measurable business value; Unlock real ROI on AI deployments; Deliver meaningful value for customers; Increase footprint at customers", "qualificationsBasic" : "5+ years experience, Native-level French proficiency", "qualificationsPreferred" : "Masters Degree in computer science, Masters Degree in engineering, Masters Degree in mathematics, Experience building generative AI applications, Familiarity with LangChain, Familiarity with LlamaIndex, Familiarity with LLM orchestration frameworks, Industry experience in supply chain, Industry experience in finance", "remoteFriendly" : false, "workSiteFlexibility" : "Flexible", "rawDescription" : "Celonis is the global leader in Process Intelligence and the pioneer of Process Mining technology. As one of the world’s fastest-growing enterprise SaaS companies, we are changemakers pushing the boundaries of what’s possible. We invest heavily in advanced AI capabilities—specifically our Process Intelligence Graph—to turn data insights into immediate business action. We believe there is a massive opportunity to unlock global productivity and sustainability by placing intelligence at the core of every business process. Join our mission to make processes work for people, companies, and the planet. Role Description As a Senior Process Intelligence and Digital Transformation Consultant (Internal Title: Senior Applied AI Engineer), you will work directly with our most strategic customers to understand their objectives and key challenges, identify high-impact opportunities for AI, and turn them into measurable business value. You will be building Celonis solutions using the world’s leading Process Intelligence (PI) platform - in combination with the largest AI and ML technology partners, such as Microsoft, OpenAI and Databricks. With Celonis’ Process Intelligence (PI) platform we feed operational context to AI so it understands our customers’ business and enables them to industrialize AI unlocking real ROI on AI deployments and at scale. There is no AI without PI. You will prototype these solutions, demonstrate their value to Executives and ensure successful implementation, adoption and value realization in order to increase the footprint of Celonis at those customers. This customer-facing role is ideal for people who enjoy working directly with customers and turning complex business challenges into practical AI solutions. The focus is on problem framing, solution design, and business impact rather than pure software engineering. While you will prototype AI solutions, the primary goal is delivering meaningful value for customers. Native-level French proficiency is required for this role. Candidates must be able to lead customer workshops, conduct executive presentations, and manage stakeholder interactions in French. Key Responsibilities: Identify High-Impact AI Opportunities: Work closely with enterprise customers to understand their strategic priorities and operational challenges, identifying where AI can deliver measurable business value. Design AI-Powered Solutions: Translate complex business problems into scalable AI solution architectures combining the Celonis Process Intelligence platform with modern AI technologies. Prototype & Demonstrate Value: Rapidly build prototypes and proof-of-value solutions that demonstrate tangible outcomes to business and technical stakeholders. Lead AI Innovation with Customers: Facilitate workshops, hackathons, and innovation sessions with customers to explore new ways AI can transform their operations. Drive Adoption and Business Impact: Partner with customer teams to ensure successful implementation, adoption, and realization of measurable value from AI deployments. Develop Domain Expertise: Build deep expertise in specific industries or business domains (e.g., supply chain, finance) and help scale that knowledge across the organization. You might be a great fit if you... have 5+ years of experience in solutions consulting, data / AI consulting, technical pre-sales, sales engineering, value engineering, or customer-facing solution-architecture or AI roles enjoy translating business challenges into technical solutions can communicate complex technical concepts to business and executive stakeholders have a good understanding of business processes across sectors (such as Supply Chain or Finance) with the ability to translate high-level business needs into specific AI use cases. demonstrate strong presentation skills to both internal and external stakeholders (including executives), whether whiteboarding sessions or formal readouts and demos. have some experience prototyping solutions with Python and modern AI frameworks are familiar with Generative AI architectures such as RAG, prompt engineering, or agent-based systems hold a Bachelor’s Degree required (Masters Degree in computer science, engineering, mathematics or related fields, or equivalent work experience is a nice-to-have). possess native-level or near-native French language skills (written and spoken), with the ability to confidently engage French-speaking customers, facilitate workshops, and present to executive stakeholders. Nice to have (big plus): Experience building or deploying generative AI applications Familiarity with tools such as LangChain, LlamaIndex, or other LLM orchestration frameworks Industry experience in domains such as supply chain, finance, or operations What Celonis can offer you: Pioneer Innovation: Work with the global leader in Process Mining and the Process Intelligence Graph to shape the future of AI-driven business operations. Ownership from Day 1: Every full-time \"Celonaut\" is an owner, receiving Restricted Stock Units (RSUs) and merit-based refresh grants. Unrivaled Family Support: Benefit from our inclusive parental leave policy—24 weeks of fully paid leave for primary carers and 12 weeks for supporting carers, available from your first day of employment. Work-Life Integration: Enjoy Unlimited PTO (in applicable regions) and generous PTO globally, as well as a flexible hybrid work model that balances remote focus with vibrant office collaboration. Continuous Growth: Elevate your skills through our 70-20-10 learning framework, mentorship programs, and access to a dedicated learning platform. Holistic Well-being: Prioritize your health with subsidized Wellhub memberships, mental health counseling, and dedicated \"Wellness Weeks\" that prioritize work/life balance. Drive Sustainability: Participate in annual Impact Days, where you receive paid time off to volunteer for community and environmental causes with your local office, or virtually. Global Inclusion & Belonging: Find community through our Inclusion Think Tank and participate in our annual Inclusion Days, ensuring every voice is heard and valued. Value-Driven Impact: Join a mission-led organization where our core values—Live for Customer Value, The Best Team Wins, We Own It, and Earth Is Our Future—drive every decision. About Us: Celonis makes processes work — for people, companies, and the planet. Powered by process mining and AI, the Celonis Process Intelligence Platform integrates process data and business context to create a living digital twin of business operations. We enable thousands of companies worldwide to understand how their business actually runs and, together with their partners, build intelligent solutions that transform and continuously improve the way they operate — unlocking billions in value. Celonis is headquartered in Munich, Germany, and New York City, USA, with more than 20 offices worldwide. Get familiar with the Celonis Process Intelligence Platform by watching this video. Celonis Inclusion Statement: At Celonis, we believe our people make us who we are and that “The Best Team Wins”. We know that the best teams are made up of people who bring different perspectives to the table. And when everyone feels included, able to speak up and knows their voice is heard - that's when creativity and innovation happen. Your Privacy: Any information you submit to Celonis as part of your application will be processed in accordance with Celonis’ Accessibility and Candidate Notices By submitting this application, you confirm that you agree to the storing and processing of your personal data by Celonis as described in our Privacy Notice for the Application and Hiring Process. Please be aware of common job offer scams, impersonators and frauds. Learn more here.", "summaryDescription" : "Senior Process Intelligence and Digital Transformation Consultant - AI & Process Analytics (Public Sector) at Celonis. Skills: Process Intelligence, AI, Digital Transformation, Customer facing. Identify high-impact AI opportunities. Design AI-powered solutions", "postedDate" : "2026-06-15T23:24:29.653", "createdAt" : "2026-06-15T23:24:29.653", "lastUpdated" : "2026-06-16T09:00:41.312", "ingestTimestamp" : "2026-06-15T23:24:29.653", "mongoId" : "6a305ae9f292fd229cf57208", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Process Intelligence", "Process Mining", "AI solution architecture", "Business value realization", "AI", "Digital Transformation", "Customer facing", "Solutions consulting", "Data consulting", "AI consulting", "Technical pre-sales", "Sales engineering", "Value engineering", "Solution architecture", "Business process analysis", "Problem framing", "Solution design", "Business processes", "Supply chain", "Finance", "AI use cases", "Microsoft", "OpenAI", "Databricks" ], "skillCount" : 24, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 481.11508, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2cb21074d8ee00a09dfaa4", "title" : "Senior Business Intelligence Analyst", "industry" : "IT", "salary" : { "min" : 96000.0, "max" : 123000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "US", "locations" : [ "US" ], "timestamp" : "2026-06-16T03:47:51.349", "fingerprint" : "bf32023e7731db97c7ba5fa98a2b351e10a909672256108c21172a6315335efe", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/jobgether/d252e32d-8d57-4aad-85b3-3279cccad3e3/apply", "externalId" : "d252e32d-8d57-4aad-85b3-3279cccad3e3", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 6, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL", "professionalSkills" : [ "Data modeling", "Forecasting", "Analytics frameworks" ], "hardSkillsList" : [ "Data integration", "Data normalization", "Data visualization", "Trend analysis", "Performance metrics analysis", "Data profiling", "Data validation" ], "hardSkills" : [ { "name" : "Data integration", "level" : "intermediate" }, { "name" : "Data normalization", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" }, { "name" : "Trend analysis", "level" : "intermediate" }, { "name" : "Performance metrics analysis", "level" : "intermediate" }, { "name" : "Data profiling", "level" : "intermediate" }, { "name" : "Data validation", "level" : "intermediate" } ], "majorSkills" : "Business intelligence, Data analytics, Data visualization, Stakeholder management", "majorSkillsList" : [ "Business intelligence", "Data analytics", "Data visualization", "Stakeholder management" ], "coreResponsibilities" : "Define analytics requirements, Design analytics solutions, Deliver insights, Collect data, Integrate data, Normalize data, Develop dashboards, Develop reports, Develop data visualizations, Analyze trends, Analyze patterns, Analyze key performance indicators, Build relationships with stakeholders, Maintain relationships with stakeholders, Support development of data models, Support development of forecasting approaches, Support development of analytical frameworks", "teamCollaboration" : "Collaborate with business stakeholders; Collaborate with technical teams; Collaborate effectively across teams", "toolProficiency" : [ "BI tools", "Looker" ], "communicationSkills" : "Presentation skills; Storytelling; Presentations", "documentationSkills" : "Well-documented datasets", "continuousLearning" : "Professional development opportunities", "innovationCreativity" : "Innovation", "problemSolvingSkills" : "Problem-solving abilities", "outcomesObjectives" : "Support strategic decisions; Support operational decisions; Identify opportunities for optimization; Identify opportunities for improved efficiency; Identify opportunities for revenue growth; Enable informed decision-making; Enable data-driven decision-making", "qualificationsBasic" : "Bachelor's degree in quantitative field, Equivalent professional experience, 6+ years experience in BI/data analytics, SQL proficiency, Experience with BI tools, Solid understanding of data quality principles", "qualificationsPreferred" : "Looker or similar platforms experience", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "## Accountabilities Collaborate with business stakeholders and technical teams to define analytics requirements, design solutions, and deliver insights that support strategic and operational decisions across the organization. Collect, integrate, and normalize data from multiple sources, ensuring consistency, accuracy, and reliability across reporting systems and analytical environments. Develop dashboards, reports, and data visualizations using BI tools to translate complex datasets into clear, actionable business insights and performance metrics. Analyze trends, patterns, and key performance indicators to identify opportunities for optimization, improved efficiency, and revenue growth. Build and maintain strong relationships with stakeholders, ensuring analytics outputs are aligned with business needs and effectively communicated through storytelling and presentations. Support the development of data models, forecasting approaches, and analytical frameworks that enable more informed, data-driven decision-making across teams. Requirements: Bachelor’s degree in a quantitative field such as Mathematics, Statistics, Data Science, or a related discipline, or equivalent professional experience. 6+ years of experience in business intelligence, data analytics, or a related analytical or consultative role within a data-driven environment. Strong proficiency in SQL and experience working with BI tools such as Looker or similar platforms to build dashboards and reporting solutions. Solid understanding of data quality principles, including data profiling, validation, and maintaining reliable and well-documented datasets. Strong communication and presentation skills, with the ability to translate complex analytical findings into clear business recommendations for non-technical audiences. High attention to detail, strong problem-solving abilities, and a proactive, self-motivated approach in fast-paced environments. Ability to collaborate effectively across teams, adapt to evolving stakeholder needs, and contribute to a culture of continuous improvement and innovation. Benefits: Competitive salary range of $96,000 to $123,000, based on experience and qualifications. Eligibility for annual performance-based bonus program. Retirement savings contributions and long-term financial planning support. Comprehensive health, dental, and vision insurance coverage. Paid time off, sick leave, and parental leave programs. Flexible work environment supporting work-life balance. Access to professional development opportunities and a collaborative, inclusive workplace culture. ## Additional Information How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1", "summaryDescription" : "Senior Business Intelligence Analyst. Skills: Business intelligence, Data analytics, Data visualization, Stakeholder management. Define analytics requirements. Design analytics solutions", "postedDate" : "2026-06-12T11:34:11.089", "createdAt" : "2026-06-12T11:34:11.089", "lastUpdated" : "2026-06-16T03:47:51.349", "ingestTimestamp" : "2026-06-14T21:11:05.835", "mongoId" : "6a2cb21074d8ee00a09dfaa4", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 96000, "salaryAnnualMax" : 123000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Data integration", "Data normalization", "Data visualization", "Trend analysis", "Performance metrics analysis", "Data profiling", "Data validation", "Business intelligence", "Data analytics", "Stakeholder management", "Data modeling", "Forecasting", "Analytics frameworks", "BI tools", "Looker" ], "skillCount" : 15, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 478.56766, "daysOld" : 3, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a305b41f292fd229cf5b606", "title" : "Senior Data Analyst", "company" : "Precision AQ", "salary" : { "min" : 1500000.0, "max" : 2500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Data Analyst in India, adjusted for the healthcare industry and senior experience level." }, "location" : "India", "locations" : [ "India" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T07:36:13.125", "fingerprint" : "615ce28dcc18080445d64a123f08c11ac06bd77f84eff34424c788667a4a9996", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/precisionaq/jobs/6030402004", "externalId" : "6030402004", "industryFunction" : { }, "structuredLocations" : [ { "country" : "India", "continent" : "as", "workMode" : "onsite" } ], "locationText" : "India", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, Python, R, Scala, Spark, Dbt, Tableau, Power BI, Looker, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Dbt Cloud, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, S3, Glue, SageMaker, Athena, GCP, Vertex AI, Azure, Synapse, ML Studio", "professionalSkills" : [ "Data engineering", "Machine learning", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Data modelling" ], "hardSkillsList" : [ "Statistical methods", "ML frameworks", "BI platforms", "Cloud data stacks", "Modelling skills", "Regression analysis", "Classification analysis", "Clustering analysis", "Time-series analysis", "A/B testing", "Causal inference" ], "hardSkills" : [ { "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" : "Regression analysis", "level" : "intermediate" }, { "name" : "Classification analysis", "level" : "intermediate" }, { "name" : "Clustering analysis", "level" : "intermediate" }, { "name" : "Time-series analysis", "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 deploy machine learning models, Build and maintain data pipelines, Design and implement BI solutions, Perform quantitative analysis, Engineer data solutions, Collaborate with stakeholders", "teamCollaboration" : "Cross-functional teams; Stakeholders", "domainKnowledge" : "Data science; Data engineering; Machine learning; AI; Business intelligence; Analytics engineering; Quantitative analysis; Cloud data stacks; ML frameworks; BI platforms; Statistical methods; Modelling skills", "domainList" : [ "data-science", "data-engineering", "machine-learning", "ai", "business-intelligence", "analytics-engineering", "quantitative-analysis", "cloud-data-stacks", "ml-frameworks", "bi-platforms", "statistical-methods", "modelling-skills" ], "domainSpecificKnowledge" : [ "Data science", "Data engineering", "Machine learning", "AI", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Cloud data stacks", "ML frameworks", "BI platforms", "Statistical methods", "Modelling skills" ], "toolProficiency" : [ "Dbt", "Fivetran", "Airflow", "Tableau", "Power BI", "Looker", "Snowflake", "BigQuery", "Redshift", "Databricks", "Delta Lake", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM", "Hugging Face", "MLflow", "AWS SageMaker", "GCP Vertex AI", "Azure ML Studio" ], "qualificationsBasic" : "5+ years experience, Bachelor's degree in Statistics, Computer Science, or Mathematics, SQL proficiency", "qualificationsPreferred" : "PhD preferred, GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified certification, Dbt Certified certification, Experience with scikit-learn, Experience with TensorFlow, Experience with PyTorch, Experience with XGBoost, Experience with LightGBM, Experience with Hugging Face, Experience with MLflow, Experience with AWS SageMaker, Experience with GCP Vertex AI, Experience with Azure ML Studio", "remoteFriendly" : false, "rawDescription" : "Role Summary We are seeking a motivated, experienced Senior Data Analyst who will lead analytics efforts around Oncology patient journey, line of therapy (LoT) and structured claims/patient data. The successful candidate will transform large claims datasets into insights that shape strategic decisions for our clients. Key Responsibilities Lead and execute analytics projects focused on patient-journey and line-of-therapy mapping, Brand analytics. Analyze structured claims and patient datasets such as DRG, IQVIA, McKesson, Symphony claims. Conduct exploratory data analysis (EDA) to assess treatment patterns, pathways and utilization. Support HEOR/HCRU analyses including prevalence, burden, incidence and cost-of-illness studies. Develop and present client-facing insights using dashboards, PowerPoint and visual analytics. Build and optimise SQL queries, pipelines; use Excel and Python for automation and analysis. Collaborate with HEOR, market-access, strategy and engineering teams. Ability to gather requirements, articulate approach, timeline and execution with key stakeholders are of equal importance. Ensure data integrity, governance, documentation and reproducibility. Independently manage workload, communicate progress and drive project delivery. Required Qualifications Minimum 5 years’ experience, with 3+ years in relevant analytics roles. Bachelor’s/Master’s in Computer Science, Electronics, Pharmacy, Life Sciences, Data Science, Statistics or related field. Prior Experience with structured datasets: DRG, Symphony, IQVIA, McKesson. Strong proficiency in SQL, Python, Excel, PowerPoint. Experience in Pharma/life-science consulting or analytics agencies. Exposure to RWE sources including EHR/EMR, CMS datasets. Understanding of LoT frameworks, treatment guidelines and market-access structures. Preferred / Nice to Haves Working knowledge of Python and visualisation tools (Power BI, Tableau). understanding of data modeling and statistical techniques. Client-facing experience with ability to translate analytics into business insights. Therapy-area familiarity (oncology, immunology, rare diseases). Experience conducting stakeholder workshops or building interactive dashboards. Experience working with global teams and multi-geography datasets. Any data provided as a part of this application will be stored in accordance with our Privacy Policy. For CA applicants, please also refer to our CA Privacy Notice. Precision Medicine Group is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, age, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status or other characteristics protected by law. If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you may contact Precision Medicine Group at QuestionForHR@precisionmedicinegrp.com. It has come to our attention that some individuals or organizations are reaching out to job seekers and posing as potential employers presenting enticing employment offers. We want to emphasize that these offers are not associated with our company and may be fraudulent in nature. Please note that our organization will not extend a job offer without prior communication with our recruiting team, hiring managers and a formal interview process.", "summaryDescription" : "Senior Data Analyst at Precision AQ. Skills: Data science, Data engineering, Machine learning, Business intelligence. Develop and deploy machine learning models. Build and maintain data pipelines", "postedDate" : "2026-06-15T23:28:58.314", "createdAt" : "2026-06-15T23:28:58.314", "lastUpdated" : "2026-06-16T07:36:13.125", "ingestTimestamp" : "2026-06-15T23:28:58.314", "mongoId" : "6a305b41f292fd229cf5b606", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Statistical methods", "ML frameworks", "BI platforms", "Cloud data stacks", "Modelling skills", "Regression analysis", "Classification analysis", "Clustering analysis", "Time-series analysis", "A/B testing", "Causal inference", "Data science", "Data engineering", "Machine learning", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Data modelling", "AI", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Dbt", "Fivetran", "Airflow", "Tableau", "Power BI", "Looker", "Snowflake", "BigQuery", "Redshift", "Databricks", "Delta Lake", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM", "Hugging Face", "MLflow", "AWS SageMaker", "GCP Vertex AI", "Azure ML Studio" ], "skillCount" : 44, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "_score" : 477.88077, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c692474d8ee00a090635c", "title" : "Senior Product Manager - Merchant Intelligence and Analytics", "industry" : "Product", "location" : "Remote", "locations" : [ "Remote", "Remote - EMEA" ], "timestamp" : "2026-06-15T09:41:08.681", "fingerprint" : "130ebb148618211b59b3bd68d425e661a4f39b1a3359d54546b1eb6b84dad77d", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/constructor/e7426b59-431b-418b-a501-dde7f13b21bf/application", "externalId" : "e7426b59-431b-418b-a501-dde7f13b21bf", "industryFunction" : { }, "structuredLocations" : [ { "workMode" : "remote" } ], "locationText" : "", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "professionalSkills" : [ "Data storytelling", "User experience advocacy", "Strategic thinking", "Cross-functional leadership", "Customer research", "Problem solving", "Decision making", "Motivating teams", "Driving outcomes", "Strategic execution", "Product strategy", "Business intelligence", "Reporting design" ], "hardSkillsList" : [ "Qualitative research", "Quantitative research" ], "hardSkills" : [ { "name" : "Qualitative research", "level" : "intermediate" }, { "name" : "Quantitative research", "level" : "intermediate" } ], "majorSkills" : "Product strategy, Business intelligence, Customer insights, Data analysis", "majorSkillsList" : [ "Product strategy", "Business intelligence", "Customer insights", "Data analysis" ], "coreResponsibilities" : "Develop product strategy, Execute product strategy, Define business intelligence metrics, Define insights metrics, Build actionable reporting, Communicate Constructor's impact, Design reporting for personas, Own cross-product revenue breakdown, Surface shopping journey impact, Drive proactive insights, Lead cross-functional team, Scale cross-functional team, Manage product cycle, Conduct customer research, Understand analytics consumption, Understand decision making, Understand value proof, Collaborate with product teams, Ensure data quality, Ensure data actionability, Communicate at all levels, Set expectations, Provide updates", "teamCollaboration" : "Cross-functional teams; Fellow product teams; GTM teams; Internal stakeholders", "projectManagementSkills" : [ "Product cycle management", "Roadmap planning" ], "domainKnowledge" : "Product discovery; E-commerce; Business performance; Return on investment; Shopping journey", "domainList" : [ "product-discovery", "e-commerce", "business-performance", "return-on-investment", "shopping-journey" ], "domainSpecificKnowledge" : [ "Product discovery", "E-commerce", "Business performance", "Return on investment", "Shopping journey" ], "communicationSkills" : "Shareable narratives; Regular updates", "problemSolvingSkills" : "Root cause analysis; Opportunity assessment; Risk assessment; Decision making", "outcomesObjectives" : "Prove Constructor value; Make insights accessible; Make insights actionable; Drive retention; Drive upsells; Drive customer trust; Make ROI visible; Explain revenue drivers; Expand insight reach; Ensure value transparency; Ensure value clarity; Understand business performance; Understand ROI; Deliver compelling narratives; Position Constructor indispensable; Drive e-commerce business; Unify merchandisers; Unify product managers; Unify marketers; Unify analysts; Unify executives; Provide actionable insights; Explain why insights happen; Guide next steps; Launch products; Enable teams; Enable customers; Iterate on results", "qualificationsBasic" : "Customer research competencies, Strategic thinking, Cross-functional leadership, Experience working remotely, Experience in agile software development", "qualificationsPreferred" : "Background in analytics, Background in e-commerce products", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "ABOUT YOU As the Product Manager for Merchant Intelligence & Analytics (MIA), you will lead a cross-functional team building intelligence products that prove the value Constructor brings to e-commerce businesses — making insights from the product discovery journey accessible and actionable for stakeholders from digital merchandisers to executives. You are a data storyteller and user experience advocate who excels at turning fragmented analytics into proactive, guided, and holistic user journeys delivered to the right persona through the right channel at the right time. By leveraging your competencies in customer research, strategic thinking, and cross-functional leadership, you will bridge the gap between raw analytics data and business intelligence that drives retention, upsells, and customer trust. JOB DESCRIPTION Constructor is the only platform that delivers reinforcement-learning-based product discovery that delivers the right product to the right person at the right time in the right context. Our customers need actionable data that proves ROI, informs merchandising strategy, and surfaces opportunities for improvement across the entire product discovery journey. The business impact we deliver to our customers is real — Constructor has never lost an A/B test against competition. The opportunity ahead is to make it continuously visible beyond A/B tests, building an always-on explanation of how product discovery drives revenue. Our customer-facing dashboard already serves merchandisers well, and the next challenge is expanding the reach to every persona responsible for conversion: product managers, marketers, analysts, and executives. Success in this role means ensuring that the massive business value Constructor delivers is fully transparent and clear across our customers' organizations. As a Product Manager leading the MIA team, you will own the customer job of understanding business performance and ROI of product discovery driven by Constructor. This is a high visibility, high impact role that involves conducting deep customer research across multiple personas, finding the right channels to deliver insights, defining metrics for insight quality and adoption, leading your cross-functional team, and ultimately, translating vast and complex data into compelling, shareable narratives for all audiences, from IC merchandisers to executives. WHAT YOU WILL DO - Develop and execute a comprehensive product strategy and metrics for business intelligence and insights that position Constructor as an indispensable product discovery platform for driving e-commerce business. - Build clear and actionable reporting that communicates Constructor's impact on business metrics and is designed to be consumed and shared across multiple personas through the right channels (customer app, email, exports, conversational AI). - Own the cross-product revenue breakdown: surface how each step in the shopping journey drives e-commerce business as the shared mental model that unifies merchandisers, product managers, marketers, analysts, and executives. - Drive proactive, actionable insights at each step of the product discovery journey — not just data on what's happening, but why it's happening and what to do next. - Lead and scale a cross-functional team of engineers and a designer, while owning the full product cycle from discovery to prototyping, implementation, launching, enabling fellow teams and customers, and iterating on results. - Conduct customer research across multiple personas and industries to understand how different stakeholders consume analytics, make decisions, and prove value internally. - Collaborate closely with fellow product teams to ensure data quality and actionability in merchandising, explainability, reporting, and AI agent workflows. - Communicate effectively at all levels to ensure wonderful experience for customers, prospects, GTM teams, and internal stakeholders, by setting the right expectations and providing regular updates on product strategy, roadmap, and progress against key initiatives and team metrics. WHO WE ARE LOOKING FOR - You are a data storyteller — you can take complex e-commerce data and translate it into compelling, value-based, and actionable narratives tailored to different audiences: executives, PMs, merchandisers, marketers. - You are a user experience advocate who turns fragmented workflows into proactive, guided, and holistic experiences. You understand that data is not delivered until it provokes action. - You love doing qualitative and quantitative customer research. You go beyond surface-level requests to understand the underlying business needs behind them. - You are a problem solver who digs into root causes, assesses opportunities and risks, and makes decisions even when faced with uncertainty. - You are able to motivate cross-functional teams and drive outcomes by involving and guiding fellow product and GTM teams. - You think strategically and execute consistently — delivering tangible wins while ensuring focus on long-term objectives. You know how to trade off short-term customer requests with strategic bets. - You are comfortable collaborating with technical teams (data engineering, ML, backend) outside your area of expertise to make informed product decisions. - You are naturally curious about new ideas and products. - You seek a fast-moving entrepreneurial environment and thrive in ever-evolving processes. - You have experience of working remotely and in agile software development with empowered cross-functional teams. - Having a background in analytics and/or e-commerce products is a plus.", "summaryDescription" : "Senior Product Manager - Merchant Intelligence and Analytics. Skills: Product strategy, Business intelligence, Customer insights, Data analysis. Develop product strategy. Execute product strategy", "createdAt" : "2026-06-14T04:55:21.210", "lastUpdated" : "2026-06-15T09:41:08.681", "ingestTimestamp" : "2026-06-14T04:55:21.210", "mongoId" : "6a2c692474d8ee00a090635c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "hasSalary" : false, "allSkills" : [ "Qualitative research", "Quantitative research", "Product strategy", "Business intelligence", "Customer insights", "Data analysis", "Data storytelling", "User experience advocacy", "Strategic thinking", "Cross-functional leadership", "Customer research", "Problem solving", "Decision making", "Motivating teams", "Driving outcomes", "Strategic execution", "Reporting design", "Product cycle management", "Roadmap planning", "Product discovery", "E-commerce", "Business performance", "Return on investment", "Shopping journey" ], "skillCount" : 24, "jobCategory" : "product", "jobSubcategory" : "product_management", "seniorityLevel" : "Senior", "dataQualityScore" : 0.6666667, "_score" : 477.0422, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.98 }, { "id" : "6a307064f292fd229cff4260", "title" : "Senior Commercial Activation Lead", "company" : "Smartly", "industry" : "Technology", "salary" : { "min" : 175000.0, "max" : 250000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Senior Commercial Activation Lead in New York, adjusted for seniority, company size, and technology industry." }, "location" : "New York, New York, United States", "locations" : [ "New York", "New York", "United States" ], "timestamp" : "2026-06-16T11:26:59.936", "fingerprint" : "68468778be08b9c057fbcca974ce8516fccd9ca068a3d2fe9046dfff00adb39a", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/smartlyio/jobs/6019773004", "externalId" : "6019773004", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : 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opportunities" ], "hardSkills" : [ { "name" : "B2B commercial motions", "level" : "intermediate" }, { "name" : "Sales cycles", "level" : "intermediate" }, { "name" : "Customer value communication", "level" : "intermediate" }, { "name" : "Product adoption", "level" : "intermediate" }, { "name" : "Expansion opportunities", "level" : "intermediate" } ], "majorSkills" : "Commercial activation, Go-to-market initiatives, Revenue motions, Enablement programs", "majorSkillsList" : [ "Commercial activation", "Go-to-market initiatives", "Revenue motions", "Enablement programs" ], "coreResponsibilities" : "Own commercial activation plans, Translate product insights, Translate market insights, Translate customer insights, Translate competitive insights, Create compelling narratives, Create talk tracks, Create manager guidance, Create field-ready resources, Partner with Sales, Partner with Customer Success, Partner with Agency, Partner with Partnerships, Partner with Product Marketing, Partner with Product, Partner with Insights teams, Align messaging, Align activation plans, Align success metrics, Align execution expectations, Build enablement programs, Scale enablement programs, Support product adoption, Support expansion opportunities, Support customer value storytelling, Support QBR excellence, Support HBR excellence, Support major commercial campaigns, Create executive-ready updates, Provide visibility into activation progress, Provide visibility into adoption trends, Provide visibility into risks, Provide visibility into blockers, Provide visibility into required actions, Develop repeatable playbooks, Develop repeatable templates, Develop repeatable frameworks, Develop repeatable operating rhythms, Help teams execute consistently, Leverage AI tools, Leverage enablement platforms, Leverage CRM systems, Leverage commercial insights, Improve content discoverability, Reduce manual effort, Strengthen execution, Contribute to Commercial Enablement evolution, Improve cross-functional collaboration, Improve operational excellence, Improve overall commercial impact", "teamCollaboration" : "Partner across Sales; Partner across Customer Success; Partner across Agency; Partner across Partnerships; Partner across Product Marketing; Partner across Product; Partner across Commercial Leadership; Cross-functional collaboration", "projectManagementSkills" : [ "Launch plans", "Field plays", "Manager toolkits", "Adoption programs", "QBR frameworks", "HBR frameworks", "Commercial operating rhythms" ], "domainKnowledge" : "B2B commercial motions; Sales cycles; Customer value communication; Product adoption; Expansion opportunities; Stakeholder management; SaaS; Advertising technology; Marketing technology; Media; Agency environments; Complex B2B organizations", "domainList" : [ "b2b-commercial-motions", "sales-cycles", "customer-value-communication", "product-adoption", "expansion-opportunities", "stakeholder-management", "saas", "advertising-technology", "marketing-technology", "media", "agency-environments", "complex-b2b-organizations" ], "domainSpecificKnowledge" : [ "B2B commercial motions", "Sales cycles", "Customer value communication", "Product adoption", "Expansion opportunities", "Stakeholder management", "SaaS", "Advertising technology", "Marketing technology", "Media", "Agency environments", "Complex B2B organizations" ], "toolProficiency" : [ "Salesforce", "Gong", "Highspot", "Learning management platforms", "Content management systems", "AI-enabled workflows", "Revenue intelligence platforms" ], "communicationSkills" : "Compelling narratives; Executive-level updates; Written communication; Verbal communication", "continuousLearning" : "Learning reimbursement", "problemSolvingSkills" : "Translate complex inputs; Bridge strategy and execution", "outcomesObjectives" : "Drive customer outcomes; Drive business outcomes; Ensure revenue teams equipped; Execute with confidence; Execute with consistency; Turn inputs into practical guidance; Turn inputs into scalable programs; Turn inputs into measurable adoption; Ensure commercial priorities become successful field motions", "qualificationsBasic" : "Experience in sales enablement, Experience in revenue enablement, Experience in go-to-market strategy, Experience in commercial strategy, Experience in product marketing, Experience in revenue operations, Experience in customer success strategy, Understanding of B2B commercial motions, Ability to translate complex products, Experience building launch plans, Experience building field plays, Experience building manager toolkits, Experience building adoption programs, Experience building QBR/HBR frameworks, Experience building commercial operating rhythms, Excellent written communication skills, Excellent verbal communication skills, Cross-functional collaboration skills, Ability to influence stakeholders, Experience using AI tools, Experience using CRM platforms, Experience using enablement technologies, Experience using content systems, Experience using conversation intelligence tools, Experience using commercial analytics, High ownership, Organizational skills, Collaborative approach", "qualificationsPreferred" : "SaaS experience, Advertising technology experience, Marketing technology experience, Media experience, Agency environments experience, Complex B2B organizations experience, Supporting global commercial teams, Supporting multi-region commercial teams, Salesforce familiarity, Gong familiarity, Highspot familiarity, Learning management platforms familiarity, Content management systems familiarity, AI-enabled workflows familiarity, Revenue intelligence platforms familiarity, Experience creating executive business reviews, Experience creating strategic playbooks, Experience creating adoption reporting, Experience creating operational performance updates", "remoteFriendly" : true, "rawDescription" : "Senior Enablement Programs Manager At Smartly, we're looking for a Senior Enablement Programs Manager to help transform our most important go-to-market priorities into clear, actionable commercial motions that drive customer and business outcomes. Sitting within Commercial Enablement, this role partners across Sales, Customer Success, Agency, Partnerships, Product Marketing, Product, and Commercial Leadership to ensure revenue teams are equipped to execute with confidence and consistency. This role is ideal for a commercially-minded operator who thrives in ambiguity, builds alignment across stakeholders, and turns complex inputs into practical guidance, scalable programs, and measurable adoption. You'll help bridge strategy and execution, ensuring our commercial priorities become successful field motions. What You Will Do Own commercial activation plans for strategic go-to-market initiatives, product launches, field plays, and revenue motions. Translate product, market, customer, and competitive insights into compelling narratives, talk tracks, manager guidance, and field-ready resources. Partner with Sales, Customer Success, Agency, Partnerships, Product Marketing, Product, and Insights teams to align messaging, activation plans, success metrics, and execution expectations. Build and scale enablement programs supporting strategic priorities such as product adoption, expansion opportunities, customer value storytelling, QBR and HBR excellence, and major commercial campaigns. Create executive-ready updates that provide visibility into activation progress, adoption trends, risks, blockers, and required actions. Develop repeatable playbooks, templates, frameworks, and operating rhythms that help teams execute consistently across regions, segments, and customer types. Leverage AI tools, enablement platforms, CRM systems, and commercial insights to improve content discoverability, reduce manual effort, and strengthen execution. Contribute to the evolution of Commercial Enablement by improving cross-functional collaboration, operational excellence, and overall commercial impact. What We Are Looking For Experience in sales enablement, revenue enablement, go-to-market strategy, commercial strategy, product marketing, revenue operations, customer success strategy, or a related field. Strong understanding of B2B commercial motions, including sales cycles, customer value communication, product adoption, expansion opportunities, and stakeholder management. Ability to translate complex products, market dynamics, customer needs, and competitive insights into practical commercial guidance and actionable field programs. Experience building launch plans, field plays, manager toolkits, adoption programs, QBR/HBR frameworks, or commercial operating rhythms. Excellent written and verbal communication skills, with the ability to synthesize complex information into clear recommendations and executive-level updates. Strong cross-functional collaboration skills and the ability to influence stakeholders across multiple functions and levels. Experience using AI tools, CRM platforms, enablement technologies, content systems, conversation intelligence tools, or commercial analytics to improve execution. High ownership, strong organizational skills, and a collaborative approach to driving outcomes. Preferred Qualifications Experience in SaaS, advertising technology, marketing technology, media, agency environments, or other complex B2B organizations. Experience supporting global or multi-region commercial teams. Familiarity with tools such as Salesforce, Gong, Highspot, learning management platforms, content management systems, AI-enabled workflows, or revenue intelligence platforms. Experience creating executive business reviews, strategic playbooks, adoption reporting, or operational performance updates. What We Offer You Five weeks paid time off (PTO), 11 company paid holidays, unlimited sick days Generous healthcare packages & mental health benefits 401K plus matching & equity grants for all new Smartlies Wellness benefit & learning reimbursement opportunities Volunteer time off days & company donation matching opportunities And so much more… The base pay range for this position is as mentioned below per year, plus an annual performance bonus. We take into consideration an individual’s background, expertise, and experience in determining final salary. In addition to annual salary, Smartly’s total rewards provide employees with stock options, medical/dental/vision insurances, retirement savings benefits, parental leave, 5 weeks vacation, unlimited sick days, life insurance, and disability benefits. This information is provided in accordance with applicable law. Base pay information is based on market location. Salary in USD: $125,000 - 170,000 Curious what it’s like to work at Smartly? Visit our Careers page to see how we grow, collaborate, and make impact together. About Smartly Smartly is the AI-powered advertising technology company transforming ad experiences for brands and their consumers. Our comprehensive advertising platform seamlessly integrates the capabilities of media, creative, and intelligence to power more than 800 billion impressions and generate more than 300 billion creatives annually, delivering tangible business outcomes for brands and advertisers. Smartly is the only company in the industry recognized as a Leader in The Forrester Wave: Creative Advertising Technologies with PwC validating the results it delivers for brands. We manage creative and media for 700+ brands worldwide and $6B in ad spend across the largest media platforms, including Facebook, Google, Instagram, Pinterest, Snap, and TikTok. Our end-to-end technology, unmatched access to media platforms and exceptional customer service help Fortune 500 brands to reach and engage consumers and learn what performs best.Smartly is a multinational and diverse team of 750+ Smartlies from 60+ nationalities, working in 13 countries. Together, we want to create and maintain an inclusive environment where everyone feels respected and heard. Our Diversity, Equity & Inclusion approach is at the heart of it. Visit Smartly to learn more. The processing of your information is described in our Candidate Privacy Notice.", "summaryDescription" : "Senior Commercial Activation Lead at Smartly. Skills: Commercial activation, Go-to-market initiatives, Revenue motions, Enablement programs. Own commercial activation plans. Translate product insights", "postedDate" : "2026-06-16T01:16:38.336", "createdAt" : "2026-06-16T01:16:38.336", "lastUpdated" : "2026-06-16T11:26:59.936", "ingestTimestamp" : "2026-06-16T01:16:38.336", "mongoId" : "6a307064f292fd229cff4260", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 175000, "salaryAnnualMax" : 250000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "B2B commercial motions", "Sales cycles", "Customer value communication", "Product adoption", "Expansion opportunities", "Commercial activation", "Go-to-market initiatives", "Revenue motions", "Enablement programs", "Go-to-market strategy", "Commercial strategy", "Revenue enablement", "Sales enablement", "Customer success strategy", "Revenue operations", "Product marketing", "Stakeholder management", "Commercial guidance", "Field programs", "Launch plans", "Field plays", "Manager toolkits", "Adoption programs", "QBR frameworks", "HBR frameworks", "Commercial operating rhythms", "Content discoverability", "Operational excellence", "Commercial impact", "SaaS", "Advertising technology", "Marketing technology", "Media", "Agency environments", "Complex B2B organizations", "Salesforce", "Gong", "Highspot", "Learning management platforms", "Content management systems", "AI-enabled workflows", "Revenue intelligence platforms" ], "skillCount" : 42, "jobCategory" : "sales", "jobSubcategory" : "revenue", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 471.40237, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2cdd0874d8ee00a0a5678c", "title" : "Business Intelligence Analyst", "salary" : { "min" : 85000.0, "max" : 125000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Business Intelligence Analyst in Troy, United States, with adjustments for industry and company size." }, "location" : "Troy, MI", "locations" : [ "Troy, MI" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-15T22:45:56.645", "fingerprint" : "c3637fe23f47702ea7b4ca5175d062f36703a81a49e9e4c17087f15fd2684057", "source" : "jazzhr", "language" : "en", "externalId" : "qS3OCeutOj", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Troy", "state" : "Michigan", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "42.6055893,-83.1499304" } ], "locationText" : "Troy, Michigan, United States", "technicalSkills" : "SQL, Python, R, Scala, Spark, Dbt, Tableau, Power BI, Looker, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, AWS, GCP, Azure, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow", "professionalSkills" : [ "Data modeling", "Statistical analysis", "Machine learning", "Business intelligence" ], "hardSkillsList" : [ "Data analysis", "Data visualization", "ETL processes", "Database management", "Statistical modeling", "Machine learning algorithms", "A/B testing", "Causal inference" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" }, { "name" : "ETL processes", "level" : "intermediate" }, { "name" : "Database management", "level" : "intermediate" }, { "name" : "Statistical modeling", "level" : "intermediate" }, { "name" : "Machine learning algorithms", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" } ], "majorSkills" : "Business Intelligence, Data Analysis, SQL, Python", "majorSkillsList" : [ "Business Intelligence", "Data Analysis", "SQL", "Python" ], "coreResponsibilities" : "Develop and maintain BI dashboards, Analyze data to identify trends, Build data models, Write SQL queries, Collaborate with stakeholders, Present findings to stakeholders, Ensure data quality, Automate reporting processes", "teamCollaboration" : "Cross-functional teams; 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The successful candidate will transform large claims datasets into insights that shape strategic decisions for our clients. Key Responsibilities Lead and execute analytics projects focused on patient-journey and line-of-therapy mapping, Brand analytics. Analyze structured claims and patient datasets such as DRG, IQVIA, McKesson, Symphony claims. Conduct exploratory data analysis (EDA) to assess treatment patterns, pathways and utilization. Support HEOR/HCRU analyses including prevalence, burden, incidence and cost-of-illness studies. Develop and present client-facing insights using dashboards, PowerPoint and visual analytics. Build and optimise SQL queries, pipelines; use Excel and Python for automation and analysis. Collaborate with HEOR, market-access, strategy and engineering teams. Ability to gather requirements, articulate approach, timeline and execution with key stakeholders are of equal importance. Ensure data integrity, governance, documentation and reproducibility. Independently manage workload, communicate progress and drive project delivery. Required Qualifications Minimum 5 years’ experience, with 3+ years in relevant analytics roles. Bachelor’s/Master’s in Computer Science, Electronics, Pharmacy, Life Sciences, Data Science, Statistics or related field. Prior Experience with structured datasets: DRG, Symphony, IQVIA, McKesson. Strong proficiency in SQL, Python, Excel, PowerPoint. Experience in Pharma/life-science consulting or analytics agencies. Exposure to RWE sources including EHR/EMR, CMS datasets. Understanding of LoT frameworks, treatment guidelines and market-access structures. Preferred / Nice to Haves Working knowledge of Python and visualisation tools (Power BI, Tableau). understanding of data modeling and statistical techniques. Client-facing experience with ability to translate analytics into business insights. Therapy-area familiarity (oncology, immunology, rare diseases). Experience conducting stakeholder workshops or building interactive dashboards. Experience working with global teams and multi-geography datasets. Any data provided as a part of this application will be stored in accordance with our Privacy Policy. For CA applicants, please also refer to our CA Privacy Notice. Precision Medicine Group is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, age, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status or other characteristics protected by law. If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you may contact Precision Medicine Group at QuestionForHR@precisionmedicinegrp.com. It has come to our attention that some individuals or organizations are reaching out to job seekers and posing as potential employers presenting enticing employment offers. We want to emphasize that these offers are not associated with our company and may be fraudulent in nature. Please note that our organization will not extend a job offer without prior communication with our recruiting team, hiring managers and a formal interview process.", "summaryDescription" : "Senior Data Analyst at Precision Medicine Group. Skills: Data science, Data engineering, ML/AI, Business intelligence. Develop and implement data science models. 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Ofrecemos a nuestros clientes una combinación única de proximidad, organización sectorial y soluciones de calidad. Presente en más de 26 países, el Grupo tiene cerca de 27.000 colaboradores y apunta a continuar creciendo. ¡En Inetum acompañamos a nuestros clientes y colaboradores en su camino al éxito! Si te gusta reinventarte y resolver problemas con nuevas estrategias, trabajar en proyectos de IT y de negocios: ¡Postula ahora! Actualmente nos encontramos en búsqueda de 1 Data Analyst Pleno para que se integre a nuestro equipo. ## Qualifications Experience • 2+ years of experience in: - Data Analytics - Business Intelligence - Analytics Engineering - Data Product environments • Experience working directly with business stakeholders. • Experience building dashboards and analytical solutions. Technical Knowledge Strong understanding of: • SQL • Python • Data modeling • Dashboard design • Analytical thinking • Business metrics • APIs and ingestion concepts • AI productivity tools Experience with: • Snowflake • Tableau • Python for analytics and automation • Excel / Google Sheets • APIs and ingestion concepts • Automation tools • AI/GenAI productivity tools ## Additional Information *¿QUÉ PODEMOS OFRECERTE?: * Retribución salarial acorde con la experiencia aportada * Plan de carrera: ofrecemos una atractiva carrera profesional en función de la experiencia y potencial personal dentro de una compañía en continua evolución y con un sólido crecimiento * Plan de formación en competencias tecnológicas de acuerdo con las exigencias de los proyectos y clientes. * Retribución flexible: te ofrecemos una retribución a la carta pudiendo elegir diferentes productos y modelar tú mismo cómo distribuirlos: seguro de salud, tickets de comida, guardería, tarjeta transporte, etc. * Flexibilidad horaria", "summaryDescription" : "Data Analyst Pleno at Inetum. Skills: Data Analytics, Business Intelligence, Analytics Engineering, Data Product. Build dashboards. 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We conduct deep primary research (expert interviews with customers, competitors, and industry specialists) to build the analysis that drives investment committee decisions. We're backed by Primary Venture Partners, co-founded by a Midas-list investor, and building a structured analyst program modeled on the intellectual range and apprenticeship found at top management consulting firms. About The Role This is a 2-year program designed to be one of the best analytical training grounds available. You'll support research pods across sectors: conducting interviews, building models, synthesizing findings, and contributing to reports that go directly to investors evaluating Series A+ opportunities. Top performers advance into senior roles. You'll leave with real expertise in Venture Capital, a network of industry contacts, and equity in a company you helped build. You'll be mentored by Sector Leads and a Founding CRO (ex-McKinsey, ex-Growth Investor). The CEO is a former BCG Partner. You won't be buried in a back office. You'll work directly with senior people who've led diligence at the top firms. About You - Graduated recently or have up to 2 years of professional experience in Consulting, Banking, or expert networks - A strong quantitative and analytical foundation. You're the person who digs until the answer makes sense. - Genuine curiosity about AI, technology, and what makes companies succeed or fail - An appetite for the things that make consulting and banking attractive (intellectual challenge, structured mentorship, working on high-stakes problems); don't worry we skipped the constant travel, grinding on decks at 2am for a client who won't read them - Clear communication skills. You can synthesize complexity into something a decision-maker can act on. 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Maintain analytics data pipelines", "createdAt" : "2026-06-14T06:18:04.028", "lastUpdated" : "2026-06-15T05:03:33.687", "ingestTimestamp" : "2026-06-14T06:18:04.028", "mongoId" : "6a254f0874d8ee00a013d497", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 85000, "salaryAnnualMax" : 125000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Data pipeline development", "Data transformation", "Analytics reporting", "Analytics engineering", "Data engineering", "Business intelligence", "Data modelling", "Data warehousing", "ETL development", "Data analysis", "Machine learning", "Statistical analysis", "Tableau", "Power BI", "Looker" ], "skillCount" : 15, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "_score" : 464.1074, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2ca56674d8ee00a09b6277", "title" : "Jr. Intelligence Research Analyst", "company" : "Dynamis, Inc.", "location" : "Contract On-Site", "locations" : [ "Contract On-Site" ], "timestamp" : "2026-06-15T07:04:28.723", "fingerprint" : "90f5383905b87621d083db6969fa4f019fe27fc84ae0f8094845bcb52621e317", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/dynamisinc/jobs/4688980006", "externalId" : "4688980006", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "onsite" } ], "locationText" : "United States", "employmentType" : "CONTRACT", "minimumEducation" : "Bachelor", "experienceMinYears" : 1, "experienceMaxYears" : 3, "experienceLevel" : "Junior", "technicalSkills" : "Bank Secrecy Act", "professionalSkills" : [ "financial crimes intelligence domain" ], "hardSkillsList" : [ "Top Secret Clearance", "U. S. Citizenship" ], "softSkillsList" : [ "Detail-oriented" ], "hardSkills" : [ { "name" : "Top Secret Clearance", "level" : "intermediate" }, { "name" : "U. S. Citizenship", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Detail-oriented" } ], "majorSkills" : "Intelligence Research, Financial Crimes, Written Communication, Problem Solving", "majorSkillsList" : [ "Intelligence Research, Financial Crimes, Written Communication, Problem Solving" ], "coreResponsibilities" : "Research intelligence and all-source information to identify individuals and entities involved in illicit activity, along with their sources and methods of financial, material, and logistical support. Create reports synthesizing intelligence and all-source information on specific individuals and entities suspected of providing financial or other illicit support. Research illicit finance methodologies and anti-money laundering (AML) regimes in targeted jurisdictions. Produce financial intelligence products of varying lengths, styles, and formats, including long- and short-term research products, briefing materials, and research summaries. Communicate complex findings in concise, plain-language descriptions for audiences unfamiliar with the subject matter. Participate, in limited cases, in working meetings with FinCEN customers to gather information or present research findings.", "communicationSkills" : "written communication", "documentationSkills" : "briefing materials; research summaries", "problemSolvingSkills" : "problem-solve", "specialRequirements" : "Top Secret Clearance. U. S. Citizenship.", "qualificationsBasic" : "Bachelor’s degree required. The ability to problem-solve in a time-constrained environment and meet schedules. 1–3 years of relevant experience, or equivalent education, demonstrating knowledge of the processes used to research and analyze intelligence and finance-related intelligence. Familiarity with financial crimes intelligence domain through self-study, prior experience, or on-the-job training. written communication skills, with the ability to distill complex material into short, plain-language products. Demonstrated time management and prioritization skills, with Detail-oriented work habits and the ability to adjust to changing environments, priorities, formats, and standards. Understanding proper contractor/government interaction protocols, including awareness that contractors do not work directly for the Government.", "qualificationsPreferred" : "Prior experience using FinCEN’s data", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Dynamis is seeking a Junior Intelligence Research Analyst to support FinCEN's mission to combat financial crimes—including terrorist financing, proliferation financing, cyber-crime, and complex money laundering—by researching and analyzing Bank Secrecy Act (BSA) data and other Government-provided data sources. Backed by Dynamis's deep bench of financial intelligence expertise, the analyst produces written financial intelligence products that support policy makers, law enforcement, regulators, and other FinCEN customers, working under the technical direction of FinCEN Program Managers. Responsibilities: Research intelligence and all-source information to identify individuals and entities involved in illicit activity, along with their sources and methods of financial, material, and logistical support. Create reports synthesizing intelligence and all-source information on specific individuals and entities suspected of providing financial or other illicit support. Research illicit finance methodologies and anti-money laundering (AML) regimes in targeted jurisdictions. Produce financial intelligence products of varying lengths, styles, and formats, including long- and short-term research products, briefing materials, and research summaries. Communicate complex findings in concise, plain-language descriptions for audiences unfamiliar with the subject matter. Participate, in limited cases, in working meetings with FinCEN customers to gather information or present research findings Requirements: Top Secret Clearance U. S. Citizenship Bachelor’s degree required The ability to problem-solve in a time-constrained environment and meet schedules.1–3 years of relevant experience, or equivalent education, demonstrating knowledge of the processes used to research and analyze intelligence and finance-related intelligence. Familiarity with financial crimes intelligence domain through self-study, prior experience, or on-the-job training. Strong written communication skills, with the ability to distill complex material into short, plain-language products. Demonstrated time management and prioritization skills, with Detail-oriented work habits and the ability to adjust to changing environments, priorities, formats, and standards. Understanding proper contractor/government interaction protocols, including awareness that contractors do not work directly for the Government. Preferred: Prior experience using FinCEN’s data", "summaryDescription" : "Jr. Intelligence Research Analyst at Dynamis, Inc.. Skills: Intelligence Research, Financial Crimes, Written Communication, Problem Solving. Research intelligence and all-source information to identify individuals and entities involved in illicit activity, along with their sources and methods of financial, material, and logistical support. Create reports synthesizing intelligence and all-source information on specific individuals and entities suspected of providing financial or other illicit sup", "postedDate" : "2026-06-14T19:25:43.588", "createdAt" : "2026-06-14T19:25:43.588", "lastUpdated" : "2026-06-15T07:04:28.723", "ingestTimestamp" : "2026-06-14T19:25:43.588", "mongoId" : "6a2ca56674d8ee00a09b6277", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "hasSalary" : false, "allSkills" : [ "Top Secret Clearance", "U. S. Citizenship", "Detail-oriented", "Intelligence Research, Financial Crimes, Written Communication, Problem Solving", "financial crimes intelligence domain" ], "skillCount" : 5, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Junior", "dataQualityScore" : 0.8888889, "_score" : 463.40668, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Government", "llmIndustryConfidence" : 0.95 }, { "id" : "6a30802df292fd229c062bae", "title" : "Senior Commercial Title Examiner", "company" : "Stewart", "industry" : "Real Estate", "salary" : { "min" : 62600.0, "max" : 96300.0, "currency" : "USD", "frequency" : "yearly" }, "location" : "United States of America", "locations" : [ "United States of America" ], "timestamp" : "2026-06-16T12:30:05.419", "fingerprint" : "ff4051a013a762012b7fb7f6529bdb006ee49ed24df958a6dc0aa03affc158fd", "source" : "workday", "language" : "en", "applyUrl" : "https://stewart.wd1.myworkdayjobs.com/External/job/USA-IL-Chicago---10-S-Riverside-Plaza/Senior-Commercial-Title-Examiner_JR108196", "externalId" : "JR108196", "industryFunction" : { }, "locationPoint" : "51.43667,5.97917", "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "onsite" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "minimumEducation" : "High School", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "coreResponsibilities" : "Compile, investigate, and examine public and tax records, Determine liabilities and legal condition of title, Examine title insurability, Prepare accurate title commitments, Understand team integration with related teams, Impact team quality, timeliness, and effectiveness, Recognize and solve atypical problems, Evaluate and select solutions from precedents, Communicate and explain complex information, Work under limited supervision, Modify work practices and processes, Act as a resource for less experienced team, Perform other duties as assigned", "teamCollaboration" : "Interdependencies within the team", "domainKnowledge" : "Commercial property title; Industrial property title; Title insurance; Settlement services; Underwriting services; Lender services", "domainList" : [ "commercial-property-title", "industrial-property-title", "title-insurance", "settlement-services", "underwriting-services", "lender-services" ], "domainSpecificKnowledge" : [ "Commercial property title", "Industrial property title", "Title insurance", "Settlement services", "Underwriting services", "Lender services" ], "communicationSkills" : "Explain complex information", "documentationSkills" : "Prepare title commitments", "problemSolvingSkills" : "Solve atypical problems; Select solutions from precedents", "qualificationsBasic" : "5+ years of related work experience", "qualificationsPreferred" : "Bachelor's degree preferred", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "At Stewart, we know that success begins with great people. As a Stewart employee, you’ll be joining a company that was named a 2024-2025 Best Company to Work For by U.S. News & World Report, and a 2025 Top Workplace by USA Today. We are committed to helping you own, develop, and nurture your career. We invest in your career journey because we understand that as you grow, so does our company. And our priority is smart growth – by attaining the best people, investing in tools and resources that enable success, and creating a better home for all. You will be part of an inclusive work environment that reflects the customers we serve. You’ll be empowered to use your unique experiences, passion and skills to help our company and the communities we serve constantly evolve and improve. Together, we can achieve our vision of becoming the premier title and real estate services company. Stewart is a global real estate services company, providing title insurance, settlement, underwriting, and lender services through our family of companies. To learn more about Stewart, visit [stewart.com/about](https://www.stewart.com/en/about-stewart). More information can be found on [stewart.com](https://www.stewart.com/en). Get title industry information and insights at [stewart.com/insights](https://www.stewart.com/en/insights). Follow Stewart on [Facebook](https://www.facebook.com/StewartTitleCo) @StewartTitleCo, on [Instagram](https://www.instagram.com/stewarttitleco/) @StewartTitleCo and on [LinkedIn](https://www.linkedin.com/company/stewarttitle/) @StewartTitle # _**Job Description**_ **Job Summary** Provides Nationwide title services. Responsible for supporting real estate transactions by searching public records and examining titles for properties to determine legal condition of property title as part of production center, branch office, or member of a title team. ### ### **Job Responsibilities** * Compiles, investigates and examines public and tax records to determine liabilities and legal condition of the title and insurability of primarily commercial or industrial property title * Prepares accurate and comprehensive title commitments in accordance with company examining and policy procedures * Understands how own team integrates with related teams to accomplish objectives * Impacts the quality, timeliness and effectiveness of the team through own work * Recognizes and solves atypical problems that occur infrequently * Evaluates and selects solutions from existing precedents or procedures * Communicates and explains complex information, including interdependencies within the team and others * Works under limited supervision and may use discretion to modify work practices and processes to achieve results or improve efficiency * Individual contributor acting as a resource for less experienced team members; does not have supervisory responsibilities * Performs all other duties as assigned by management **Education** * High school diploma required; Bachelor’s preferred **Experience** * Typically requires 5+ years of related work experience _Equal Employment Opportunity Employer_ Stewart is committed to ensuring that its online application process provides an equal employment opportunity to all job seekers, including individuals with disabilities. If you have a disability and need assistance or an accommodation in the application process, please contact us by email at [careers@stewart.com](mailto:careers@stewart.com). **Pay Range & Benefits** $62,600.00 - $96,300.00 Annually The base salary range provided is consistent with similar roles at the Company. The base salary range is not an absolute, but a guide, and actual offers will be based on the individual candidate’s knowledge, skills, education, experience, location, market conditions, and other compensation components. Depending upon all of the preceding considerations, the base salary may be lower or higher than the stated range. Stewart offers eligible employees a competitive benefits package that includes, but is not limited to a variety of health and wellness insurance options and programs, paid time off, 401(k) with company match, employee stock purchase program, and employee discounts", "summaryDescription" : "Senior Commercial Title Examiner at Stewart. Compile, investigate, and examine public and tax records. Determine liabilities and legal condition of title", "postedDate" : "2026-06-16T03:53:52.913", "createdAt" : "2026-06-16T03:53:52.853", "lastUpdated" : "2026-06-16T12:30:05.419", "ingestTimestamp" : "2026-06-16T03:53:52.853", "mongoId" : "6a30802df292fd229c062bae", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://stewart.wd1.myworkdayjobs.com/External/job/USA-IL-Chicago---10-S-Riverside-Plaza/Senior-Commercial-Title-Examiner_JR108196", "salaryAnnualMin" : 62600, "salaryAnnualMax" : 96300, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Commercial property title", "Industrial property title", "Title insurance", "Settlement services", "Underwriting services", "Lender services" ], "skillCount" : 6, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "senior", "dataQualityScore" : 1.0, "_score" : 463.21698, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Real Estate", "llmIndustryConfidence" : 0.95 }, { "id" : "6a307956f292fd229c031713", "title" : "Business Analytics Senior Manager (Product, Healthcare)", "company" : "WHOOP", "industry" : "Business Intelligence & Analytics", "salary" : { "min" : 170000.0, "max" : 200000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Boston, MA", "locations" : [ "Boston, MA" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T11:47:07.937", "fingerprint" : "fc7d27a0914d43ce8d8110918428eee5ce9b1ff7653395b55a4d56b926fb51ae", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/whoop/fe6496d7-3e80-4321-9463-e0b4d57ed2c5/application", "externalId" : "fe6496d7-3e80-4321-9463-e0b4d57ed2c5", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Boston", "state" : "Massachusetts", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "42.3588336,-71.0578303" } ], "locationText" : "Boston, Massachusetts, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 8, "experienceLevel" : "Manager", "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", "professionalSkills" : [ "Product analytics", "Business intelligence", "Data engineering", "Machine learning", "Statistical modeling", "Quantitative analysis" ], "hardSkillsList" : [ "Data analysis", "Data modeling", "Statistical analysis", "Machine learning models", "A/B testing", "Causal inference" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Data modeling", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Machine learning models", "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 execute data science strategies, Build and maintain data pipelines, Design and implement ML models, Develop BI dashboards and reports, Conduct advanced statistical analysis, Perform A/B testing and causal inference, Collaborate with product teams, Mentor junior analysts", "teamCollaboration" : "Product teams; Engineering teams; Data science teams", "domainKnowledge" : "Healthcare data", "domainList" : [ "healthcare-data" ], "domainSpecificKnowledge" : [ "Healthcare data" ], "toolProficiency" : [ "Tableau", "Power BI", "Looker" ], "communicationSkills" : "Executive presentations; Technical documentation", "documentationSkills" : "Technical writing; Architecture diagrams", "problemSolvingSkills" : "Root cause analysis; Data-driven decision making", "qualificationsBasic" : "8+ years of experience, Bachelor's degree, SQL proficiency", "qualificationsPreferred" : "Master's degree or PhD, Experience with ML frameworks, Cloud platform certifications", "rawDescription" : "At WHOOP, we're on a mission to unlock human performance. WHOOP empowers users to perform at a higher level through a deeper understanding of their bodies and daily lives. We’re seeking a strategic, insights-oriented Health Product Analytics Senior Manager to join our Product Analytics team and support the Healthcare Product group. This role is ideal for someone who is passionate about behavior change, health outcomes, and creating world-class digital experiences. You’ll support the development of new features focused on early detection, physiological coaching, and personalized health guidance. We are looking for an individual who can be fluent in data, driven by product thinking and is looking to deeply understand and tackle complex analytics challenges. This person should feel empowered to foster their own curiousity and raise support for ideas that meaningfully impact the WHOOP member experience. Ultimately this person should feel comfortable getting their hands dirty as a player-coach, leading and developing analysts alongside their own workstreams. RESPONSIBILITIES: - - Partner with key stakeholders across the Product team, as well as Software, UX, Data Science, Marketing, and Strategic Finance teams to align on goals and quantify impact for key member touchpoints, and identify new sources of value for our members. - Help build and refine health-specific KPIs, including engagement with relevant features, adoption of recommended behaviors, and member-reported value. - Uncover insights about key member segments — including those managing hormonal health, cardiometabolic health, or looking for more personalized wellness support. - Create repeatable tools and processes for analytics across new health features and algorithms— from data pipelines to dashboards and weekly health performance reviews. - Generate and drive the strategic analytic roadmap to unlock insights about our members, how they are using the product and guide our product team with action-oriented recommendations. - Collaborate with a high-performance team, providing thought leadership to identify the most impactful ways to drive decisions and improve retention. - Manage, mentor, and grow a team of analysts, fostering a culture of high performance and continuous improvement. QUALIFICATIONS: - - 8+ years of experience in a deeply strategic/analytical role, including partnership with product and development teams and - Direct experience leading and developing a team, including driving large projects and mentoring junior analysts. - A true player-coach; able to independently take broad business questions, wrangle appropriate data, quickly isolate and model key insights, visualize results and communicate actionable recommendations. - Strong storytelling skills – able to create compelling and concise presentations that convey actionable solutions to complex, ambiguous problems. - Demonstrated success in influencing senior stakeholders and leadership on strategic direction based on analytical recommendations. - Experience and knowledge running experiments (e.g. A/B testing) and working with development teams - Advanced skills in SQL and understanding of ELT (dbt) and data warehousing (Snowflake) structures, as well as data visualization (eg. Looker, Tableau, Hex) This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office. Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply. WHOOP is an Equal Opportunity Employer and participates in E-verify to determine employment eligibility The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values. At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success. The U.S. base salary range for this full-time position is $170,000 - $200,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training. In addition to the base salary, the successful candidate will also receive benefits and a generous equity package. These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.", "summaryDescription" : "Business Analytics Senior Manager (Product, Healthcare) at WHOOP. Skills: Data science, Data engineering, Machine learning, Business intelligence. Develop and execute data science strategies. Build and maintain data pipelines", "createdAt" : "2026-06-16T01:59:48.701", "lastUpdated" : "2026-06-16T11:47:07.937", "ingestTimestamp" : "2026-06-16T01:59:48.701", "mongoId" : "6a307956f292fd229c031713", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 170000, "salaryAnnualMax" : 200000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Data analysis", "Data modeling", "Statistical analysis", "Machine learning models", "A/B testing", "Causal inference", "Data science", "Data engineering", "Machine learning", "Business intelligence", "Product analytics", "Statistical modeling", "Quantitative analysis", "Healthcare data", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Tableau", "Power BI", "Looker" ], "skillCount" : 21, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "_score" : 462.5905, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.97 }, { "id" : "6a305098f292fd229cef28e8", "title" : "Senior Associate, BizOps & Analytics", "company" : "Jerry.ai", "industry" : "Data", "salary" : { "min" : 130000.0, "max" : 150000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "New York, New York", "locations" : [ "New York, New York", "San Francisco Bay Area", "Boston, Massachusetts", "Atlanta, Georgia", "Denver, Colorado", "Austin, Texas", "Miami, Florida" ], "timestamp" : "2026-06-16T11:35:51.527", "fingerprint" : "a9ec2d512fbdcb7097ef000c9b94fda56f52c8927c40131c915b2b875f458ee7", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/jerry.ai/9ffdff72-e8ed-4fc2-9465-15e9ca3f6c99/application", "externalId" : "9ffdff72-e8ed-4fc2-9465-15e9ca3f6c99", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Excel, SQL, Python", "professionalSkills" : [ "First principles thinking", "Data analysis", "Problem solving", "Decision making", "Analytical insights" ], "hardSkillsList" : [ "Data structuring", "Data interpretation" ], "softSkillsList" : [ "Direct communication" ], "hardSkills" : [ { "name" : "Data structuring", "level" : "intermediate" }, { "name" : "Data interpretation", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Direct communication" } ], "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 what is happening, Explain why it is happening, Recommend next steps", "teamCollaboration" : "Embedded in business units; Counterparts in product; Counterparts in growth; Counterparts in finance; Counterparts in operations", "domainKnowledge" : "Car insurance; Home insurance; Motorcycle insurance; RV insurance", "domainList" : [ "car-insurance", "home-insurance", "motorcycle-insurance", "rv-insurance" ], "domainSpecificKnowledge" : [ "Car insurance", "Home insurance", "Motorcycle insurance", "RV insurance" ], "toolProficiency" : [ "SQL", "Metabase", "Python", "Jupyter Hub", "GitHub" ], "communicationSkills" : "Direct communication; Clear writing; Precise speaking; Persuasive communication", "problemSolvingSkills" : "First principles thinking; Break ambiguous problems; Formulate hypotheses", "outcomesObjectives" : "Move key metrics; Go from 5M to 50M customers; Become a $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 of owning problems, Track record of delivering impact, Clear communicator, Persuasive communicator, Influence leadership decisions", "remoteFriendly" : false, "rawDescription" : "Why We Exist Your car and your home are your most important assets, yet the experience of owning them is stuck in the 90s. Every part of the journey — buy/sell, insurance, maintenance, repairs — is fragmented, complicated, and expensive. Jerry.ai http://Jerry.ai is building the first app to manage it all. We started with car insurance in 2019, became one of the top 3 brokers in the U.S., then added driving insights, diagnostics, and a repair marketplace. We've reached 5M+ customers, raised $240M+, scaled revenue 70X, and became profitable in early 2024. We're now expanding into adjacent verticals (e.g. home, motorcycle, RV, etc) to become the one-stop-shop for all your physical assets. Why We’re Hiring Our BizOps & Analytics team has been a force multiplier and accelerant to our business that has helped us reach these pivotal milestones in spite of headwinds and within a highly competitive market. They are a team of former McKinsey, BCG and Bain consultants who drive data & insights, and inform decision-making across every corner of our business. They are analytical powerhouses and first principles problem solvers who push forward our most important initiatives across product, growth, tech, and operations. Every business unit has a BizOps team member embedded within it — someone who doesn't just run analyses and build dashboards, but shapes what questions we should ask, what data to pull, what conclusions to draw, what decisions to make, and then drives our teams towards our next goal: go from 5M to 50M customers and become a $10B business in the next 4 years. As our business continues to expand, there is growing demand for more BizOps team members. We are hiring 4-6 people to drive impact in these areas: - Growth Marketing - Product Development - AI & Automation - Strategic Partnerships On leveling: You may see job ads for this role at different job levels. Our priority is finding the right people, we can be flexible with job title/leveling. Why You Will (Or Won't) Like Working Here - No slides: If you've worked in consulting, you know what it feels like to be up at 3am reformatting a deck. That doesn't exist here. The only work that gets done at Jerry is work that will materially change the trajectory of our business — an important product, a new growth channel, a key metric, a critical partner relationship, etc. - No corporate fluff: The BizOps & Analytics team is 14 insatiable learners who care deeply about solving difficult problems and making a tangible impact. Every person owns a critical domain. There is no bloat, unnecessary meetings, or waiting for approvals. - Hands-on: This is not a pure strategy role, you will also own execution. Your day-to-day will be surfacing analytical insights, driving decisions, and seeing them through end-to-end. What You'll Own You'll sit on our central BizOps & Analytics team but you’ll be embedded in one of Jerry's core business areas — growth, product, AI and automation, strategic partnerships — and own the analytical function for that business unit end-to-end. - Define the right problems: Before any analysis, understand what business question it's answering and what decision it will inform. Push back if the question is flawed. - Data and insights: Define metrics, build reports, run analyses, design experiments, and surface data insights that move your team's key metrics. - Drive outcomes: Bring recommendations to your counterparts in product, growth, finance or operations, tell them what's happening and why, and what next steps should be. Who You Are - First principles thinker: You break ambiguous problems into clear hypotheses before touching data. You're analytically strong (comfortable with Excel, SQL or Python) but your instinct is to ask \"what are we trying to solve here?\" before jumping to \"what should I build?\" - Direct communicator: You can walk a skeptical stakeholder through a complex finding and get buy-in quickly. You write clearly, speak precisely, and don't bury the lede. - Owner: You act like your name is on the door. If something is broken, you feel responsible for fixing it, even if it’s outside of your swim lane. What You'll Bring - 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 questions. Define metrics", "createdAt" : "2026-06-16T00:30:46.094", "lastUpdated" : "2026-06-16T11:35:51.527", "ingestTimestamp" : "2026-06-16T00:30:46.094", "mongoId" : "6a305098f292fd229cef28e8", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 130000, "salaryAnnualMax" : 150000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Data structuring", "Data interpretation", "Direct communication", "BizOps", "Analytics", "Data insights", "First principles thinking", "Data analysis", "Problem solving", "Decision making", "Analytical insights", "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, "_score" : 462.22256, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305098f292fd229cef28e5", "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" : "2026-06-16T12:56:16.630", "fingerprint" : "4afd295dd903f1d80113f5dad9ee25df779cc6f83ed7dce4cc447a1d289a8cc6", "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", "Data analysis", "Problem solving" ], "hardSkillsList" : [ "Data interpretation", "Data structuring", "Data pulling" ], "hardSkills" : [ { "name" : "Data interpretation", "level" : "intermediate" }, { "name" : "Data structuring", "level" : "intermediate" }, { "name" : "Data pulling", "level" : "intermediate" } ], "majorSkills" : "BizOps, Analytics, Problem solving", "majorSkillsList" : [ "BizOps", "Analytics", "Problem solving" ], "coreResponsibilities" : "Define business questions, Define metrics, Build reports, Run analyses, Design experiments, Surface data insights, Bring recommendations, Inform counterparts, Drive decisions", "teamCollaboration" : "Embedded in business units; Work with product; Work with growth; Work with finance; Work with operations", "domainKnowledge" : "Car insurance; Driving insights; Repair marketplace; Home insurance; Motorcycle insurance; RV insurance", "domainList" : [ "car-insurance", "driving-insights", "repair-marketplace", "home-insurance", "motorcycle-insurance", "rv-insurance" ], "domainSpecificKnowledge" : [ "Car insurance", "Driving insights", "Repair marketplace", "Home insurance", "Motorcycle insurance", "RV insurance" ], "toolProficiency" : [ "SQL", "Metabase", "Python", "Jupyter Hub", "GitHub" ], "communicationSkills" : "Direct communication; Clear writing; Precise speaking", "problemSolvingSkills" : "First principles thinker; Break ambiguous problems", "outcomesObjectives" : "Move key metrics; Grow to 50M customers; 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 of owning problems, Track record of 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. Define business questions. Define metrics", "createdAt" : "2026-06-16T00:30:02.999", "lastUpdated" : "2026-06-16T12:56:16.630", "ingestTimestamp" : "2026-06-16T00:30:02.999", "mongoId" : "6a305098f292fd229cef28e5", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Data interpretation", "Data structuring", "Data pulling", "BizOps", "Analytics", "Problem solving", "First principles thinking", "Data analysis", "Car insurance", "Driving insights", "Repair marketplace", "Home insurance", "Motorcycle insurance", "RV insurance", "SQL", "Metabase", "Python", "Jupyter Hub", "GitHub" ], "skillCount" : 19, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Junior", "dataQualityScore" : 0.8888889, "_score" : 462.19193, "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, "_score" : 461.51852, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.98 }, { "id" : "6a305930f292fd229cf45a28", "title" : "Senior Associate, BizOps & Analytics", "company" : "Jerry.ai", "industry" : "Data", "salary" : { "min" : 130000.0, "max" : 150000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "New York, New York", "locations" : [ "New York, New York", "San Francisco Bay Area", "Boston, Massachusetts", "Atlanta, Georgia", "Denver, Colorado", "Austin, Texas", "Miami, Florida" ], "timestamp" : "2026-06-16T12:04:26.325", "fingerprint" : "bd08f69916a4e3eea1bdda67e845ecd73f888e848edd3ce563440a606cfa1a76", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/Jerry.ai/9ffdff72-e8ed-4fc2-9465-15e9ca3f6c99/application", "externalId" : "9ffdff72-e8ed-4fc2-9465-15e9ca3f6c99", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Excel, SQL, Python", "professionalSkills" : [ "First principles thinking", "Analytical problem solving" ], "hardSkillsList" : [ "Data analysis", "Metrics definition", "Report building", "Experiment design" ], "softSkillsList" : [ "Direct communicator" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Metrics definition", "level" : "intermediate" }, { "name" : "Report building", "level" : "intermediate" }, { "name" : "Experiment design", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Direct communicator" } ], "majorSkills" : "BizOps, Analytics, Data insights, Decision making", "majorSkillsList" : [ "BizOps", "Analytics", "Data insights", "Decision making" ], "coreResponsibilities" : "Define business questions, Define metrics, Build reports, Run analyses, Design experiments, Surface data insights, Bring recommendations, Drive decisions, Inform business strategy", "teamCollaboration" : "Embedded in business units; Counterparts in product; Counterparts in growth; Counterparts in finance; Counterparts in operations", "domainKnowledge" : "Car insurance; Home insurance; Motorcycle insurance; RV insurance", "domainList" : [ "car-insurance", "home-insurance", "motorcycle-insurance", "rv-insurance" ], "domainSpecificKnowledge" : [ "Car insurance", "Home insurance", "Motorcycle insurance", "RV insurance" ], "toolProficiency" : [ "SQL", "Metabase", "Python", "Jupyter Hub", "GitHub" ], "communicationSkills" : "Direct communication; Clear writing; Precise speaking", "problemSolvingSkills" : "Break ambiguous problems; Formulate hypotheses", "outcomesObjectives" : "Move key metrics; Grow to 50M customers; 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 of owning problems, Track record of delivering impact, Clear communicator, Persuasive communicator, Influence leadership decisions", "remoteFriendly" : false, "rawDescription" : "Why We Exist Your car and your home are your most important assets, yet the experience of owning them is stuck in the 90s. Every part of the journey — buy/sell, insurance, maintenance, repairs — is fragmented, complicated, and expensive. Jerry.ai http://Jerry.ai is building the first app to manage it all. We started with car insurance in 2019, became one of the top 3 brokers in the U.S., then added driving insights, diagnostics, and a repair marketplace. We've reached 5M+ customers, raised $240M+, scaled revenue 70X, and became profitable in early 2024. We're now expanding into adjacent verticals (e.g. home, motorcycle, RV, etc) to become the one-stop-shop for all your physical assets. Why We’re Hiring Our BizOps & Analytics team has been a force multiplier and accelerant to our business that has helped us reach these pivotal milestones in spite of headwinds and within a highly competitive market. They are a team of former McKinsey, BCG and Bain consultants who drive data & insights, and inform decision-making across every corner of our business. They are analytical powerhouses and first principles problem solvers who push forward our most important initiatives across product, growth, tech, and operations. Every business unit has a BizOps team member embedded within it — someone who doesn't just run analyses and build dashboards, but shapes what questions we should ask, what data to pull, what conclusions to draw, what decisions to make, and then drives our teams towards our next goal: go from 5M to 50M customers and become a $10B business in the next 4 years. As our business continues to expand, there is growing demand for more BizOps team members. We are hiring 4-6 people to drive impact in these areas: - Growth Marketing - Product Development - AI & Automation - Strategic Partnerships On leveling: You may see job ads for this role at different job levels. Our priority is finding the right people, we can be flexible with job title/leveling. Why You Will (Or Won't) Like Working Here - No slides: If you've worked in consulting, you know what it feels like to be up at 3am reformatting a deck. That doesn't exist here. The only work that gets done at Jerry is work that will materially change the trajectory of our business — an important product, a new growth channel, a key metric, a critical partner relationship, etc. - No corporate fluff: The BizOps & Analytics team is 14 insatiable learners who care deeply about solving difficult problems and making a tangible impact. Every person owns a critical domain. There is no bloat, unnecessary meetings, or waiting for approvals. - Hands-on: This is not a pure strategy role, you will also own execution. Your day-to-day will be surfacing analytical insights, driving decisions, and seeing them through end-to-end. What You'll Own You'll sit on our central BizOps & Analytics team but you’ll be embedded in one of Jerry's core business areas — growth, product, AI and automation, strategic partnerships — and own the analytical function for that business unit end-to-end. - Define the right problems: Before any analysis, understand what business question it's answering and what decision it will inform. Push back if the question is flawed. - Data and insights: Define metrics, build reports, run analyses, design experiments, and surface data insights that move your team's key metrics. - Drive outcomes: Bring recommendations to your counterparts in product, growth, finance or operations, tell them what's happening and why, and what next steps should be. Who You Are - First principles thinker: You break ambiguous problems into clear hypotheses before touching data. You're analytically strong (comfortable with Excel, SQL or Python) but your instinct is to ask \"what are we trying to solve here?\" before jumping to \"what should I build?\" - Direct communicator: You can walk a skeptical stakeholder through a complex finding and get buy-in quickly. You write clearly, speak precisely, and don't bury the lede. - Owner: You act like your name is on the door. If something is broken, you feel responsible for fixing it, even if it’s outside of your swim lane. What You'll Bring - 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, "_score" : 461.05685, "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, "_score" : 461.01874, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305930f292fd229cf45a2b", "title" : "Senior Manager, BizOps & Analytics", "company" : "Jerry.ai", "industry" : "Data", "salary" : { "min" : 170000.0, "max" : 210000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "Los Angeles, California", "locations" : [ "Los Angeles, California", "Chicago, Illinois", "Raleigh, North Carolina", "Nashville, Tennessee", "Phoenix, Arizona", "Salt Lake City, Utah", "Dallas, Texas" ], "timestamp" : "2026-06-16T11:06:24.166", "fingerprint" : "3e583796a4114120c70de5ecb005ee37a57b8bb329271ad79356efbda59ea4eb", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/Jerry.ai/f5b49cbf-fee1-4f56-b35d-2d76897383f0/application", "externalId" : "f5b49cbf-fee1-4f56-b35d-2d76897383f0", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Los Angeles", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "34.0536909,-118.2427660" } ], "locationText" : "Los Angeles, California, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "technicalSkills" : "Excel, SQL, Python", "professionalSkills" : [ "First principles thinking", "Problem solving" ], "hardSkillsList" : [ "Data analysis", "Data interpretation", "Data structuring" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Data interpretation", "level" : "intermediate" }, { "name" : "Data structuring", "level" : "intermediate" } ], "majorSkills" : "BizOps, Analytics, Data insights", "majorSkillsList" : [ "BizOps", "Analytics", "Data insights" ], "coreResponsibilities" : "Define business questions, Push back on flawed questions, Define metrics, Build reports, Run analyses, Design experiments, Surface data insights, Bring recommendations to counterparts, Explain what is happening, Explain why it is happening, Recommend next steps", "teamCollaboration" : "Embedded in business units; Counterparts in product; Counterparts in growth; Counterparts in finance; Counterparts in operations", "domainKnowledge" : "Car insurance; Driving insights; Car maintenance; Car repairs; Home insurance; Motorcycle insurance; RV insurance", "domainList" : [ "car-insurance", "driving-insights", "car-maintenance", "car-repairs", "home-insurance", "motorcycle-insurance", "rv-insurance" ], "domainSpecificKnowledge" : [ "Car insurance", "Driving insights", "Car maintenance", "Car repairs", "Home insurance", "Motorcycle insurance", "RV insurance" ], "toolProficiency" : [ "SQL", "Metabase", "Python", "Jupyter Hub", "GitHub" ], "communicationSkills" : "Direct communication; Write clearly; Speak precisely; Get buy-in quickly", "problemSolvingSkills" : "Break ambiguous problems; Formulate hypotheses", "outcomesObjectives" : "Grow from 5M to 50M customers; Become $10B business in 4 years", "qualificationsBasic" : "6+ years consulting experience, 6+ years investment bank experience, 6+ years high-growth tech experience, Analytical ability to pull data, Analytical ability to structure data, Analytical ability to interpret data, Track record owning ambiguous problems, Track record delivering impact, Clear communicator, Persuasive communicator, Influence decisions at leadership level", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "Why We Exist Your car and your home are your most important assets, yet the experience of owning them is stuck in the 90s. Every part of the journey — buy/sell, insurance, maintenance, repairs — is fragmented, complicated, and expensive. Jerry.ai http://Jerry.ai is building the first app to manage it all. We started with car insurance in 2019, became one of the top 3 brokers in the U.S., then added driving insights, diagnostics, and a repair marketplace. We've reached 5M+ customers, raised $240M+, scaled revenue 70X, and became profitable in early 2024. We're now expanding into adjacent verticals (e.g. home, motorcycle, RV, etc) to become the one-stop-shop for all your physical assets. Why We’re Hiring Our BizOps & Analytics team has been a force multiplier and accelerant to our business that has helped us reach these pivotal milestones in spite of headwinds and within a highly competitive market. They are a team of former McKinsey, BCG and Bain consultants who drive data & insights, and inform decision-making across every corner of our business. They are analytical powerhouses and first principles problem solvers who push forward our most important initiatives across product, growth, tech, and operations. Every business unit has a BizOps team member embedded within it — someone who doesn't just run analyses and build dashboards, but shapes what questions we should ask, what data to pull, what conclusions to draw, what decisions to make, and then drives our teams towards our next goal: go from 5M to 50M customers and become a $10B business in the next 4 years. As our business continues to expand, there is growing demand for more BizOps team members. We are hiring 4-6 people to drive impact in these areas: - Growth Marketing - Product Development - AI & Automation - Strategic Partnerships On leveling: You may see job ads for this role at different job levels. Our priority is finding the right people, we can be flexible with job title/leveling. Why You Will (Or Won't) Like Working Here - No slides: If you've worked in consulting, you know what it feels like to be up at 3am reformatting a deck. That doesn't exist here. The only work that gets done at Jerry is work that will materially change the trajectory of our business — an important product, a new growth channel, a key metric, a critical partner relationship, etc. - No corporate fluff: The BizOps & Analytics team is 14 insatiable learners who care deeply about solving difficult problems and making a tangible impact. Every person owns a critical domain. There is no bloat, unnecessary meetings, or waiting for approvals. - Hands-on: This is not a pure strategy role, you will also own execution. Your day-to-day will be surfacing analytical insights, driving decisions, and seeing them through end-to-end. What You'll Own You'll sit on our central BizOps & Analytics team but you’ll be embedded in one of Jerry's core business areas — growth, product, AI and automation, strategic partnerships — and own the analytical function for that business unit end-to-end. - Define the right problems: Before any analysis, understand what business question it's answering and what decision it will inform. Push back if the question is flawed. - Data and insights: Define metrics, build reports, run analyses, design experiments, and surface data insights that move your team's key metrics. - Drive outcomes: Bring recommendations to your counterparts in product, growth, finance or operations, tell them what's happening and why, and what next steps should be. Who You Are - First principles thinker: You break ambiguous problems into clear hypotheses before touching data. You're analytically strong (comfortable with Excel, SQL or Python) but your instinct is to ask \"what are we trying to solve here?\" before jumping to \"what should I build?\" - Direct communicator: You can walk a skeptical stakeholder through a complex finding and get buy-in quickly. You write clearly, speak precisely, and don't bury the lede. - Owner: You act like your name is on the door. If something is broken, you feel responsible for fixing it, even if it’s outside of your swim lane. What You'll Bring - 6+ years of experience at a consulting firm, investment bank, or high-growth technology company. - Strong analytical skills; ability to pull, structure, and interpret data independently. - Track record of owning ambiguous problems and delivering impact. - Clear, persuasive communicator who can influence decisions at the leadership level. Our Tools SQL (Clickhouse), Metabase, Python, Jupyter Hub, GitHub. While we appreciate your interest and application, only applicants under consideration will be contacted. Jerry.ai is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on race, religion, color, national origin, sex, pregnancy, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, or other characteristics protected by applicable local, state or federal laws. Jerry.ai is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at recruiting@jerry.ai recruiting@getjerry.com The successful candidate’s starting pay will fall within the pay range listed on this job posting, determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation may include opportunities for equity grants. We offer a comprehensive benefits package to regular employees, including health, dental, and vision coverage, paid time off, paid parental leave, 401(K) plan with employer matching, and wellness benefits, among others. Equity opportunities may also be part of your total rewards package. Part-time, contract, or freelance roles may not be eligible for certain benefits. About Jerry.ai Jerry.ai is America’s first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets. Backed by artificial intelligence and machine learning, Jerry.ai simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We spend every day innovating and improving our AI-powered app to provide the best possible experience for our customers. From car insurance and financing to maintenance and safety, Jerry.ai does it all. We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers — and we’re just getting started. Jerry.ai was founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing. Join our team and work with passionate, curious and egoless people who love solving real-world problems. Help us build a revolutionary product that’s disrupting a massive market.", "summaryDescription" : "Senior Manager, BizOps & Analytics at Jerry.ai. Skills: BizOps, Analytics, Data insights. Define business questions. Push back on flawed questions", "createdAt" : "2026-06-16T00:28:35.206", "lastUpdated" : "2026-06-16T11:06:24.166", "ingestTimestamp" : "2026-06-16T00:28:35.206", "mongoId" : "6a305930f292fd229cf45a2b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 170000, "salaryAnnualMax" : 210000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Data analysis", "Data interpretation", "Data structuring", "BizOps", "Analytics", "Data insights", "First principles thinking", "Problem solving", "Car insurance", "Driving insights", "Car maintenance", "Car repairs", "Home insurance", "Motorcycle insurance", "RV insurance", "SQL", "Metabase", "Python", "Jupyter Hub", "GitHub" ], "skillCount" : 20, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "_score" : 460.45087, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 } ], "status" : 200, "message" : "OK", "pagination" : { "page" : 0, "limit" : 50, "totalCount" : 88319, "totalPages" : 1767, "hasNext" : true, "hasPrevious" : false } }

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