Designs and delivers enterprise analytics tracking solutions across web, mobile, and app platforms, serving as a technical subject matter expert for clients and consultants. Requires deep Tealium expertise, strong JavaScript skills, and at least three years of analytics implementation experience.

Analyzes Talent Acquisition and workforce data to identify trends, improve hiring effectiveness, and inform People and business-leader decisions. The role requires 3+ years of HR-focused analytics experience, SQL and advanced Excel proficiency, and strong stakeholder communication.

The Applied AI Data Analyst evaluates LLM-driven workflows and forecasting models, curates golden datasets, monitors performance, and performs root-cause analysis on complex financial and operational data. The role requires a graduate STEM degree, 2–4 years of quantitative or AI evaluation experience, Python, SQL, and enterprise data infrastructure expertise.

Leads marketing analytics strategy by owning attribution, full-funnel measurement, forecasting, dashboards, experimentation, and AI/ML-driven insights. The role requires 8+ years of overall experience, deep B2B SaaS marketing analytics expertise, and advanced proficiency with Tableau, Salesforce, Snowflake, and Excel.

Improves Salesforce sales-data integrity through SQL analysis, automated monitoring, enrichment validation, segmentation, and account-hierarchy management. The role partners with Sales, Revenue Operations, and GTM Strategy stakeholders to translate data issues into prioritized remediation and business insights.

Performs actuarial and financial analysis for value-based healthcare contracts, using claims data, SQL, forecasting models, and statistical methods to evaluate performance and support payer partnerships. Requires a quantitative bachelor's degree, ASA or near-ASA credentials, and at least two years of healthcare actuarial experience.

The Senior Data Analyst will analyze and reconcile payment flows, build reporting automation and real-time dashboards, and provide financial insights across payments, accounting, finance, and product teams. The role requires 4+ years of analytics experience, strong SQL, and familiarity with data warehousing and ETL tools.

Senior data analyst supporting clinical, commercial, product, and business development decisions through rigorous statistical analysis, data storytelling, and scalable dashboards and analytical assets. Requires 7+ years of quantitative experience, strong SQL, Tableau, Python, and cross-functional communication skills.

Oversees portfolio data processing, verification, quality checks, and issue resolution while collaborating with clients, support teams, Product, and Engineering. The role suits someone with financial-services operations knowledge, strong problem-solving and communication skills, and familiarity with tools such as Excel, SQL, Salesforce, or Jira.

Leads a team delivering product, customer, and business performance analytics across Fetch’s Shoppability portfolio. The role combines analyst management with hands-on work in measurement, experimentation, customer journeys, commercial performance, and cross-functional decision support.

The Senior Product Analyst will analyze B2C user behavior, build scalable data models and self-service analytics tools, and use funnels, experimentation, and statistical analysis to influence product strategy. Requires 5+ years of product or data analytics experience, strong SQL, and excellent stakeholder communication.

Analyzes inventory data across warehouses, manufacturing sites, and external partners to improve record accuracy, reconcile physical and system balances, and reduce operational and financial risk. The role requires 3+ years of inventory or supply-chain experience, advanced spreadsheet skills, and strong cross-functional follow-through.

Builds Tableau dashboards and Snowflake datasets that support global go-to-market and field operations decisions. The role requires 5+ years of analytics or BI experience, strong SQL and Tableau expertise, Salesforce data knowledge, and the ability to use generative AI in technical workflows.

The Data Analyst supports Product Analytics and the Client Group by reconciling cross-system billing data, resolving discrepancies, and building durable data-quality controls and reporting. The role requires advanced Excel, strong SQL, and 5+ years of analytics, data, or finance-operations experience.

Leads advanced analytics for Customer Support, partnering with product and operations leaders to improve community and agent experiences through metrics, experimentation, causal inference, and scalable data tools. Requires 8+ years of business analytics experience and strong SQL plus Python or R expertise.

Manages an internal product analytics team that supports product managers and leadership through recurring analysis, trusted metrics, and AI-powered workflows. Requires 6+ years in analytics, 2+ years leading teams, strong SQL and data warehouse skills, and senior stakeholder experience.

Own end-to-end marketing analytics, funnel measurement, and ROI analyses while translating Media Mix Modeling outputs into budget, channel, and campaign decisions. The role requires 6+ years of analytics or data science experience, strong Python and SQL skills, statistical grounding, and senior stakeholder influence.

Analyzes conversational and call-center data to identify patterns, configure speech analytics solutions, build dashboards, and deliver actionable customer insights. The role requires strong analytical and communication skills, customer-facing experience, and a bachelor's degree or equivalent experience.

The Staff Analyst, GTM Analytics partners with Marketing leadership to improve pipeline generation, conversion, campaign ROI, and data governance. The role requires 7+ years in analytics or BI, advanced SQL, dbt, Python, and experience with B2B marketing technology and AI-driven analytics workflows.

Staff Data Analyst leads analytics strategy for telehealth platform, driving executive decisions on patient outcomes, compliance, and operations using advanced SQL, Python/R, and BI tools. Requires 8+ years experience, bachelor's degree, and healthcare domain knowledge.

Manages end-to-end human data and evaluation projects for AI systems, partnering with engineering teams to improve training signals, model behavior, and data integrity. Requires cross-functional collaboration, dataset analysis, and experience with annotation or AI/ML data workflows.

The Credit Risk Associate develops and optimizes credit strategies across limits, payment speed, collections, and decisioning workflows. The role requires credit risk or quantitative strategy experience, SQL or Python proficiency, demonstrated AI fluency, and strong cross-functional judgment.

Builds scalable data models, standardized revenue metrics, automated pipelines, and reliable dashboards for global business analytics. Requires at least five years of analytics-related experience, strong SQL, modern data-tool expertise, and careful data validation.

Own operational analytics for a computer vision review pipeline, using SQL, Python, experimentation, and statistical modeling to identify turnaround-time and cost drivers. The role partners across Operations, Finance, and Analytics Engineering to improve process visibility and efficiency.

Leads sales and go-to-market analytics, building scalable data products and translating complex business questions into actionable recommendations. Requires 6+ years of analytics experience, strong SQL and Python skills, and the ability to influence senior cross-functional stakeholders.

Leads an embedded analytics organization supporting growth, product, markets, finance, risk, and institutional functions. The role requires 10+ years in analytics or data science, 4+ years managing teams, expert SQL, strong statistical judgment, and executive-level stakeholder partnership.

Owns full-funnel growth analytics for a vertical, guiding acquisition spend, experimentation, retention, and investment priorities. The role requires 7+ years of growth, marketing, or product analytics experience, expert SQL, strong GTM metric fluency, and effective cross-functional communication.

Build and own finance reporting models, reconcile ledger and platform activity, and analyze fees, incentives, revenue, and trader retention. The role requires 7+ years of experience, expert SQL, data science methods, accounting knowledge, and cloud data warehouse experience.

Leads Finance data foundations, semantic modeling, reporting, and AI-enabled analytics while managing a team of finance data professionals. The role requires substantial business intelligence or financial analytics experience, strong finance and accounting knowledge, and proficiency in SQL and Python.

Builds production data assets, analytics, and sales insights for Lyft Business’s B2B revenue organization. The role partners with Sales and account teams, defines trusted metrics, and communicates actionable findings to technical and executive stakeholders.

The Senior Business Data Analyst enables data-driven decisions by defining KPIs, analyzing business performance, and building scalable dashboards and data models. The role requires 3+ years of BI or analytics experience, expert SQL skills, strong communication, and the ability to translate insights into operational impact.

Leads a horizontal Business Analytics team supporting operational and corporate functions, translating ambiguous questions into insights, KPIs, and recommendations. Requires 8+ years of quantitative experience, analytics team leadership, advanced SQL fluency, and hands-on use of AI tools.

The Measurement Partner analyzes advertising effectiveness for Pinterest advertisers, designing measurement plans, delivering tests and reporting, and translating data into actionable recommendations. The role requires at least four years of digital ads measurement experience, strong analytical and communication skills, and a bachelor’s degree or equivalent experience.

The Staff Product Analyst will shape measurement strategy for Grafana’s AI products by defining KPIs, guiding instrumentation and experimentation, building dbt models, and translating user behavior data into product recommendations. The role requires strong SQL, product analytics, visualization, and cross-functional communication skills.

Leads Pinterest’s APAC Measurement Solutions organization, shaping advertiser measurement strategy across experimentation, attribution, MMM, clean rooms, and retail media. The role requires regional people leadership, executive stakeholder influence, and strong expertise in privacy-safe measurement and commercial analytics.

The Research Analyst produces financial, market, and client intelligence through statistical modeling, dashboards, experimentation, forecasting, and advertising optimization. The role requires a master’s degree and at least one year of related experience, with proficiency in Python, R, cloud platforms, SQL, BI tools, and marketing analytics.

The Analytics Lead will analyze customer-support data, define performance metrics, design experiments, and deliver recommendations that improve the support experience. The role requires quantitative education, at least two years of analytical or data-science experience, and strong SQL and Python skills.

Analyzes pre-sales, pipeline, adoption, trial, and partner engagement data to improve revenue operations and digital sales programs. The role requires advanced SQL and Python, cross-functional stakeholder collaboration, data modeling, experimentation, and strong data-quality practices.

The Product Data Analyst will analyze acquiring operations and merchant lifecycle data, build Tableau reporting frameworks, investigate data and settlement issues, and translate complex metrics into actionable insights. The role partners cross-functionally to improve product adoption, operational efficiency, and financial performance.

Owns monitoring and reporting for personal-loan credit and model performance, investigates trends and unexpected outcomes, and recommends data-driven treatments. Requires a quantitative master’s degree, 6+ years of analytics or data-science experience, and Python and SQL expertise.

Plans and scales AI-enabled workforce forecasting, capacity planning, and operational workflows for high-volume customer experience teams. Requires 7+ years of capacity-planning and forecasting experience, strong analytics and data-pipeline skills, and the ability to lead cross-functional initiatives.

Senior Data Analyst supporting Operations and Customer Experience through experimentation, operational metrics, stakeholder partnership, and strategic recommendations. The role requires strong SQL, data modeling or reporting infrastructure experience, and at least four years working with complex datasets.

The Product Analyst independently analyzes product performance, defines success metrics, evaluates experiments, and communicates recommendations to product and machine-learning teams. The role requires 5+ years of analytics experience, strong SQL and Python skills, and quantitative training or equivalent experience.

Leads end-to-end business intelligence and reporting for Instacart Business and Health, partnering with GTM leadership and external partners to turn commercial data into scalable insights and growth opportunities. Requires 5+ years in analytics or BI, strong SQL and visualization skills, and experience with B2B or GTM analytics.

Develops insight-led narratives for advertisers in Mexico by combining Pinterest first-party data, market research, and commercial context. The role partners with Sales and cross-functional teams, presents recommendations to clients, and requires 4+ years of relevant experience, SQL proficiency, and Spanish-English fluency.

Leads the transformation of operational data into financial models, automated reporting, forecasts, and executive dashboards. The role requires 7+ years in FP&A or strategic finance, advanced SQL and Python, and experience with modern data and BI platforms.

Owns Linktree’s content measurement and audience-insights program, translating cross-channel performance, audience behavior, social listening, search, and competitive signals into actionable recommendations. Requires 5–7 years of experience in insights, marketing analytics, content measurement, or research.

Analyzes payment network costs, fees, and margin trends while building billing models, validating fee accuracy, and driving cost-saving initiatives. Requires 4+ years in payments, SQL proficiency, financial modeling, and cross-functional technical and operational experience.

Research and profile cryptoasset service providers, exchanges, custodians, and other entities using blockchain, public, and regulatory data. The role applies AML and jurisdictional risk concepts to support intelligence products used for compliance, risk management, and law-enforcement decisions.

Owns client data onboarding, quality assurance, quantitative analytics, and sustainability reporting for commercial real estate portfolios. The role requires 2+ years of quantitative experience, strong Excel skills, and excellent communication, with SQL and building or carbon data experience preferred.