Top Analytics Jobs in Los Angeles, CA

Lead marketplace analytics for Affirm’s two-sided ecosystem by optimizing monetization, supply, demand, pricing, profitability, and user experience. Build KPI dashboards, analyze marketplace and affiliate performance, conduct experiments, evaluate incentives and placement, and perform loan-level profitability analyses. Partner cross-functionally with Product, Engineering, Sales, Client Success, and Marketing to improve merchant value, consumer engagement, conversion, and sustainable GMV growth.

Lead Toast’s global People Analytics function across data engineering, analytics, data science, and employee listening. Set the people data and reporting strategy, establish trusted metrics and governance, partner with executives on workforce decisions, measure People program impact with Finance, and build scalable self-service analytics. Manage a distributed US and India team, oversee executive and board-level workforce analysis, and collaborate with privacy, legal, People technology, AI, and data engineering teams.

Analyze and optimize drug pricing using data-driven models, dashboards, reports, and strategic frameworks. Partner with Sales, Operations, Marketing, Finance, Product, pharmacy partners, and data teams to identify opportunities, define success metrics, improve reporting, and balance pharmacy economics with patient affordability. Serve as a trusted analytical advisor and support backend data development and query optimization.

The Senior Data Analyst will support game studios and Call of Duty Live Services by analyzing gameplay, player engagement, monetization, and core game systems. Responsibilities include developing reports, optimizing game features and in-game economies, driving cross-functional analytics initiatives, and presenting actionable insights to technical and non-technical stakeholders. The role requires strong data analysis, visualization, communication, and stakeholder-management skills, with a focus on improving player experience and commercial outcomes.

Leads and scales the analytics function, managing analysts while partnering with Product, Marketing, Finance, and Operations. Establishes data governance, prioritization frameworks, and company KPIs; develops predictive models, experimentation and attribution frameworks; and delivers executive insights. Collaborates with Data Engineering on analytics architecture and remains hands-on with SQL, modeling, and modern data tools.

Leads Bloom Ads’ analytics, data operations, media intelligence, and measurement capabilities. The role oversees marketing mix modeling, attribution, experimentation, forecasting, customer analytics, data governance, campaign activation, and executive reporting. It manages and mentors analytics professionals, builds scalable measurement frameworks, advises clients and agency leadership, translates technical findings into media recommendations, and partners with media, technology, and data teams to improve campaign performance and business outcomes.

Leads marketing analytics strategy, statistical modeling, marketing mix modeling, attribution, campaign measurement, and ROI analysis. Manages and mentors analysts while developing scalable analytical frameworks and automated data processes. Partners with clients, media teams, account teams, and vendors to translate business challenges into actionable insights. Requires hands-on programming in Python and R, SQL expertise, advertising-platform knowledge, and experience managing analytics engagements in agency or consulting environments.

Leads advanced Brand and Consumer analytics, integrating insights across marketing mix modeling, forecasting, commercial performance, and digital commerce. Develops data-driven narratives, translates complex analyses into actionable recommendations, and advises executives and stakeholders. Builds trusted client relationships across Marketing, IT, Sales, and Finance while using SQL, Python, statistical methods, and hypothesis-driven analysis to identify performance drivers and business opportunities.

Develop data models, analyses, dashboards, and automated reporting for a collectibles marketplace. Partner with engineering, product, and data platform teams to define business metrics, identify customer experience and growth opportunities, inform strategy, and lead initiatives that improve business performance.

Own the analytics function supporting fraud, credit risk, and operations. Build automation, reporting infrastructure, fraud-rule backtesting frameworks, risk-label systems, dashboards, and AI-assisted tools. Partner with stakeholders to identify high-impact opportunities, reduce manual work, and track hours saved. This hands-on individual contributor role has managerial scope and includes defining a new analytics function.

Performs audit-focused data extraction, analysis, and reporting using SQL, R, Python, SAS, Posit, and Snowflake. Supports internal and external audits, legal, compliance, and investigations by transforming complex datasets, identifying risks and trends, reviewing data models and process flows, and providing code feedback. Requires 5+ years of data analysis experience, a relevant bachelor’s degree, and strong querying and project management skills.

Lead and scale Ticketmaster’s product experimentation program by establishing governance, standards, onboarding, and measurement practices. Configure and monitor Optimizely experiments, design statistically rigorous A/B and multivariate tests, analyze results, and translate findings into product recommendations. Define digital metrics, identify fan-experience opportunities, build self-service analytics resources, and partner with Product, Design, Engineering, Research, and Analytics teams to support data-informed decisions.

Manages a business analytics team that delivers insights, KPI reporting, trend analysis, data visualizations, governance, and actionable recommendations. Guides statistical analysis, data modeling, querying, experimentation, and self-service analytics while aligning practices with enterprise standards. Partners with leaders to identify opportunities and risks, improve data quality, drive analytics adoption, and support strategic and operational decisions. Oversees team performance, department projects, communications, and best-practice development.

Lead advanced analytics for Airbnb’s host incentive programs. Own measurement strategy, design and analyze experiments, apply statistical and causal methods, develop metrics and reporting tools, and analyze complex datasets. Partner with Operations, Data Science, Finance, and Product leaders to deliver actionable insights, evaluate incrementality and ROI, and guide program decisions. Present recommendations to senior stakeholders and use AI-assisted analytics to automate repetitive work.

Analyze personal loan product performance, customer behavior, funnel conversion, campaigns, and key performance metrics. Design measurement frameworks, identify tracking gaps, conduct root cause analysis, develop A/B tests, support analytics infrastructure, and create dashboards. Partner with Product, Engineering, Data Science, and Business teams to translate insights into product improvements and increased origination volume.

Leads marketing and enrollment analytics across acquisition and conversion funnels. Analyzes channel performance, ROI, attribution, forecasting, experimentation, and marketing mix modeling; develops recommendations for budget allocation and performance improvement. Uses Power BI, SQL, Python or R, and institutional and marketing datasets to build models, automate monitoring, identify anomalies, and support cross-functional decisions. Owns marketing measurement standards, data quality, tracking, and analytical roadmap while partnering with Marketing, Enrollment, Field, and Institutional Analytics teams.

Leads CookUnity’s Advanced Analytics function, setting strategy and partnering with Product, Finance, Operations, Marketing, and leadership. The role involves experimentation, causal inference, retention and growth analysis, marketing measurement, product impact evaluation, and translating insights into business decisions. This hands-on player-coach will guide complex analytical work, develop analysts, improve analytical rigor, and shape team structure and priorities.

Supports Somali-speaking learners in a fully virtual data analytics program. Responsibilities include answering questions, facilitating breakout rooms, holding office hours, reviewing materials, grading assignments, providing feedback, recording walkthroughs, monitoring learner progress, and escalating concerns. The role also requires supporting live sessions, communicating in Somali and English, attending onboarding and staff meetings, and submitting weekly progress reports.

Owns analytical projects across customer onboarding, transaction behavior, and platform operations. Designs dashboards, KPI frameworks, reporting workflows, and data pipelines while delivering actionable insights. Partners with Engineering, Product, Payment Operations, Compliance, and Finance; mentors colleagues; manages project scope and priorities; resolves ambiguity; and drives cross-functional alignment. Requires advanced SQL and data modeling skills, BI tool experience, analytical scripting familiarity, FinTech domain knowledge, and 4+ years of analytics experience.

Manage strategic analytics projects for executives and cross-functional stakeholders. Build SQL- and Excel-based analyses, financial models, forecasts, breakeven analyses, and licensing negotiation scenarios. Translate complex data into commercially impactful insights and executive presentations, while managing projects independently, supporting strategy, and collaborating across business units and with junior analysts.

Leads the Emerging & Established Marketing Analytics insights function, building and coaching an analyst team while owning full-funnel performance narratives across brands and markets. Translates experimentation and measurement outputs into recommendations, delivers executive-level insights, manages senior stakeholders, establishes scalable analytical frameworks, and partners cross-functionally with Marketing, Product, Finance, Data Science, BI, and Operations.

Own fraud analytics and mitigation strategy for a digital marketplace. Build transactional rules, dashboards, monitoring frameworks, fraud metrics, and analytical datasets; investigate losses, false positives, payment anomalies, and abuse patterns. Analyze fund flows across payment methods and payouts, quantify financial risks, and partner with Product, Engineering, Marketing, and Compliance to improve controls and support regulatory processes.

Leads enterprise advanced analytics and modeling to identify drivers of business performance across brands, markets, customers, accounts, and geographies. Translates findings into prioritized actions, playbooks, launch strategies, and scenario-based recommendations. Oversees rigorous, scalable analytical approaches, partners with senior stakeholders, and develops analytics talent across the organization.

Owns end-to-end customer analytics workstreams, including KPI frameworks, multi-source dashboards, reporting, data governance, quality assurance, and insight delivery for government digital communications programs. Presents recommendations to stakeholders, mentors junior analysts, leads Agile ceremonies, documents analytics practices, resolves data issues, and evaluates AI-assisted analytics tools.

Analyze startup user and product data, identify trends and drivers, and turn findings into strategic recommendations. The role owns key metrics and dashboards, leads analytical deep dives, sizes opportunities, evaluates product tradeoffs, supports roadmap prioritization, and develops external-facing insights about startups in partnership with marketing and communications.