The Senior Product Analyst will guide consumer product decisions through KPI reporting, experimentation, forecasting, root-cause analysis, and analytics tooling. The role requires 5+ years in product analytics, data science, or experimentation, plus strong SQL/Python and cross-functional communication skills.

Validates and reconciles client data across spreadsheets and platforms, documents discrepancies, and supports multiple implementation projects. Requires a bachelor’s degree or equivalent, at least one year in a detail-focused role, strong organizational skills, and spreadsheet proficiency.

Leads and mentors a data validation team, overseeing work allocation, quality audits, process improvement, documentation, and AI-enabled automation. Requires a bachelor’s degree or equivalent, 3+ years in data validation or related operations, and strong analytical and organizational skills.

Leads the Revenue Analytics function and team, shaping sales, customer success, professional services, and customer lifecycle analytics to improve forecasting, retention, resource allocation, and revenue growth. Requires executive-level influence, SaaS revenue expertise, and advanced analytics and AI tooling proficiency.

Implements and analyzes marketing analytics solutions for clients, leading technical engagements with Google Analytics, tag management, data visualization, and related platforms. Requires a bachelor's degree, at least two years of hands-on analytics implementation experience, and strong client communication skills.

Serves as the analytics partner for People Partners and senior leaders across Stripe’s International organization, delivering workforce insights, self-service tooling, and Visier platform governance. Requires 5+ years in people analytics, consulting, or a related analytical field, plus strong stakeholder communication and data visualization skills.

Drive credit risk strategy for Stripe Capital by architecting policies, analyzing proprietary and third-party data, monitoring portfolio trends, and collaborating with Product, Data Science, and Engineering teams to shape lending products. Requires 5+ years credit analysis experience, strong SQL and data-driven skills.

Owns secured-lending data integrity, regulatory reporting, risk dashboards, and loan-level quality controls for a highly regulated home lending business. Requires at least five years of reporting or compliance-monitoring experience and strong mortgage lending knowledge.

This role turns customer, CRM, and conversation data into actionable client and account insights, partnering closely with agency teams to influence decisions and outcomes. It requires 4+ years of analytics experience, strong SQL and Snowflake skills, stakeholder communication, and comfort operationalizing ambiguous analytical work.

Triages and analyzes autonomous-vehicle behavior events using visualization and analysis tools, distinguishing true issues from false positives. The role is intended for a currently enrolled bachelor’s or master’s student who can work on-site 40 hours per week for at least three months.

The Senior Data Analyst will build marketing measurement across attribution, incrementality testing, media mix modeling, and forecasting for paid and PLG channels. The role requires 6+ years of relevant experience, advanced SQL, Python or R, and strong fluency in growth and marketing efficiency metrics.

Own audit-readiness data inventories, governance processes, pipelines, dashboards, and validation controls for shared financial and operational datasets. The role requires 7+ years in data analytics or engineering, production pipeline experience, advanced SQL and Python, and familiarity with dbt, Airflow, and regulated environments.

The Staff Analyst will turn complex go-to-market data into actionable insights, dashboards, forecasts, and AI-enabled workflows supporting Sales and Customer Success. The role requires 5+ years of analytics or operations experience, advanced SQL and Python, and strong business partnership skills.

Reviews live dashcam video to identify safety risks and produces reliable training data for AI/ML models. The role requires strong attention to detail, communication, collaboration, and flexibility for rotating shifts in a 24/7 operating environment.

Builds Qlik Sense dashboards, reporting processes, and backend services supporting the trade lifecycle for middle- and back-office operations. Requires a STEM degree, 2+ years of analyst or data-engineering experience, advanced SQL, programming skills, and strong data-quality expertise.

The Strategic Analytics Manager transforms commercial, customer, and financial data into ROI analyses, dashboards, forecasts, and recommendations that support revenue growth, retention, and strategic decisions. The role requires a bachelor’s degree, 5+ years of analytics experience, SQL, Excel, visualization expertise, and strong cross-functional communication.

Analyzes contact center workforce data, optimizes scheduling and intraday staffing, and builds AI-powered WFM automations and reporting. The role requires 7–8+ years of WFM experience, strong analytics and visualization skills, platform administration experience, and leadership across operational stakeholders.

Investigates transaction and user-event anomalies, handles fraud escalations, and recommends actions to protect payment products. The role requires 2+ years in fraud prevention, payments risk, or financial crime investigation, plus SQL, Excel, and strong analytical communication skills.

Analyzes and improves mental-health safeguards for generative AI by evaluating interventions, tuning detection systems, reviewing flagged content, and identifying policy gaps. Requires trust-and-safety or related well-being experience, experimentation and measurement skills, SQL or comparable data analysis, and sound judgment in high-consequence cases.

Own marketing data models, integrations, dashboards, and data-quality monitoring during a focused six-month engagement. The role requires 4+ years of B2B SaaS marketing analytics or operations experience, strong SQL and dbt skills, and familiarity with Snowflake, Salesforce, and Marketo.

Analyzes operational and business performance for Lyft Urban Solutions, partnering with Product, Engineering, Operations, Policy, and Finance to improve micromobility services. The role requires 3–5+ years of analytics experience, strong SQL and quantitative skills, and excellent cross-functional communication.

The Senior Analyst will lead customer experience analytics for Support and Services Delivery, translating operational data into actionable insights and scalable self-service tools. The role requires 4–6 years of analytics or applied data science experience, strong SQL and Python, dbt expertise, and stakeholder-facing communication skills.

Supports product data analysis, KPI reporting, dashboard development, and insight generation for cross-functional stakeholders. Requires a bachelor's degree, basic SQL and Excel proficiency, and strong analytical and communication skills.

Analytics intern supporting go-to-market teams by rebuilding BI dashboards, creating self-service Omni topics, and delivering end-to-end analyses. Requires SQL proficiency, strong data validation and documentation habits, and current undergraduate or graduate enrollment.

Measurement Partner II responsible for designing, executing, and analyzing brand lift studies, incrementality tests, and experiments to prove campaign value for tvScientific + Pinterest advertisers. Requires 3+ years in marketing science/experimentation, strong stats and data skills (SQL/Python/R), and ability to translate complex results into actionable business insights.

The Senior Data Analyst will analyze product data, build Tableau dashboards and scalable Snowflake/dbt models, and deliver actionable insights to guide product strategy and growth. The role requires strong SQL and Python skills, product analytics experience, and 3–5 years of experience.

Senior analytics role measuring success of countrywide insurance product programs, building monitoring frameworks, predictive models, and dashboards. Requires 10+ years in insurance analytics, expert SQL, Python/R modeling, and stakeholder influence; expected to grow into people management.

Serve as the data and strategy expert for a business area at Stripe, wrangling complex datasets with SQL, developing metrics and dashboards, delivering insights to leadership, and driving operational planning, forecasting, and cross-functional initiatives for Financial Crimes.

Analyzes payment flows and builds automated reporting, reconciliation, and dashboard solutions supporting finance, accounting, compliance, and product teams. Requires a relevant bachelor’s or master’s degree, 4+ years of large-dataset analytics experience, extensive SQL, and data warehousing or ETL expertise.

Associate Quantitative Trader monitoring automated trading systems, building data pipelines and analytics, and performing statistical analysis to improve market-making strategies in fixed income and expanding asset classes. Requires strong Python/SQL, statistics, and financial markets passion; bachelor's in quantitative field.

Own marketing funnel reporting, monitoring, and insights that guide campaign, channel, and pipeline decisions. The role requires 5+ years of analytics experience, strong SQL, marketing-funnel expertise, BI dashboarding, and cross-functional collaboration with marketing, sales, finance, and data teams.

Founding Data Analyst on the FinOps team building the company's data foundation, operating scorecard, and dashboards. Requires 3-5 years experience, strong SQL/Python, comfort with messy data, and executive presence in a high-impact, cross-functional role at an AI-native healthcare startup.

Project Controls Analyst responsible for cost management, tracking, forecasting, performance monitoring, variance analysis, and reporting on construction and engineering projects. Requires 2-5 years in cost controls or financial analysis and advanced Excel skills.

Supports data entry, data quality, database maintenance, and analysis while assisting customers with product configuration, demonstrations, onboarding, and feedback. The role suits a detail-oriented, curious candidate with Excel and data-framework experience, ideally in fixed income or leveraged credit.

Senior Manager leading a new strategic health analytics function to deliver rigorous, evidence-based analysis supporting payer and employer conversations. Hands-on role combining deep US healthcare expertise (payer/provider), advanced analytics, customer-facing narrative development, team building, and mentoring.

Senior Data Analyst on the Data Engineering team who bridges client needs, internal healthcare product knowledge, and data-driven outcomes. Requires deep healthcare claims expertise, expert SQL and AI/LLM usage for analysis and automation, payment integrity experience, and collaboration with clients and internal teams.

Serve as the analytical engine for consumer business decisions at a privacy-first mobile carrier. Combine market research, business intelligence, financial modeling, and customer insights to drive pricing, planning, and strategy; present recommendations to executives. Requires 4+ years in consulting, BI, or market research with strong SQL/Excel and analytical skills.

This part-time contractor evaluates, annotates, and stress-tests AI model outputs across text, image, and structured data. The role requires at least one year of relevant analytical or annotation experience, excellent written English, strong judgment, and meticulous attention to detail.

Leads sales, upsell, partnership, and PMS integration analytics for a B2B SaaS business. The role requires 5+ years of relevant analytics experience, strong SQL, dashboarding expertise, Salesforce knowledge, and the ability to translate findings into business decisions.

Senior Analytics Engineer building dimensional models, data marts, and transformation pipelines in dbt, Airflow, and BigQuery to support analytics for banking, product, marketing, finance and other teams. Requires 6+ years experience, strong SQL, dimensional modeling, and BI tool expertise (Looker preferred).

Senior/Staff Analyst building AI-first intelligence layer for Snowflake's Tax function. Develop AI agents, semantic models, Streamlit apps, and automations using CoCo and SnowWork to unify tax data, automate compliance, and enable plain-English querying. Requires strong Python/SQL, prompt engineering, and daily LLM coding assistant experience.

Lead a team of analysts while performing hands-on causal analyses, A/B tests, metric design, and experimentation strategy. Translate complex insights into executive recommendations and raise the analytics bar across Product, Growth, and BI.

Staff Advanced Analytics partner for Airbnb's Guest App team, driving product decisions for Promotional Merchandising via deep data analysis, experimentation, statistical modeling, metrics development, and cross-functional collaboration. Requires 10+ years experience in product analytics/data science with strong Python/R, SQL, A/B testing, and AI tool expertise.

Leads dashboard development and onchain analysis across DeFi products to guide product growth, incentives, retention, revenue, and investor communications. Requires 4+ years in data analysis, data science, or analytics engineering, with strong SQL and blockchain analytics experience.

Analyze high-value transactions and investigate fraudulent activity for a payments risk team. Requires 3-5 years in financial investigations or payment fraud analysis, strong analytical skills, SQL proficiency, and experience with Snowflake, Sigma, and Stripe.

Product Analyst responsible for SLA monitoring, operational analytics, provider lifecycle management, and driving automation initiatives. Partners with product, engineering, and operations teams to build dashboards, investigate issues, and optimize workflows using SQL, Python, and metrics-driven insights. Requires 2-4 years in business/product operations or data analysis.

This role supports forecasting and capacity planning for Lyft’s global customer support organization, translating operational data into staffing recommendations and business insights. It requires at least two years of analytical planning experience, SQL and Python proficiency, AI fluency, and a quantitative bachelor's degree.

Join Chronograph's Data Operations team to manage and structure data from private capital reports, perform financial analysis, and conduct research on alternative assets. Ideal for detail-oriented, motivated professionals seeking to build expertise in private equity and fintech.

Strategy & Analytics Associate who conducts client discovery, builds data-backed ROI analyses and presentations, and supports sales teams with fraud and identity solution value quantification to accelerate partner adoption. Requires 3-5 years analytical experience in consulting, banking, or startups, strong SQL/Python skills, and executive presentation abilities.

Builds executive and operational dashboards while developing the SQL-based analytics datasets beneath them. The role partners with business and executive stakeholders to deliver governed, accurate, self-service insights across the enterprise.