Top Analytics Jobs in Seattle, WA

Leads end-to-end people analytics projects, translating HR and business priorities into metrics, statistical analyses, visualizations, and executive recommendations. Partners with HR leaders, product teams, machine learning scientists, and data engineers to improve organizational insights, data quality, analytics products, and self-service capabilities. Designs employee listening programs, delivers data-literacy coaching, manages analytics intake, supports product development, and advances analytical practices across the People Analytics team.

Analyze operational, customer survey, qualitative, and unconventional data to identify retention drivers and customer pain points. Synthesize findings into actionable recommendations, improve reporting, provide operational consulting, and present insights to senior leaders. The role requires advanced statistical and analytical skills, strong SQL and Snowflake capabilities, familiarity with Python and Cortex, and effective cross-functional communication.

Own the people analytics roadmap, build reliable HR data pipelines and reporting, and deliver workforce, talent, and process insights. Analyze employee lifecycle operations, measure performance, identify automation opportunities, and develop dashboards and predictive analyses for senior leaders. Partner across People, HRIS, IT, Finance, Legal, and data teams to improve data governance, privacy, operational efficiency, and employee experience. Establish analytical standards and coach People colleagues on data-driven decision-making.

Leads and manages a business analyst team supporting a data platform. Partners with clients, product managers, engineers, and stakeholders to gather requirements, write user stories, perform data gap analyses and source-to-target mapping, validate data using SQL, and support data quality, lineage, QA, Agile delivery, change management, and documentation. Requires healthcare data expertise, people leadership, strong communication, and experience translating technical information for varied audiences.

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.

Leads marketing media measurement strategy across Social, TV, Influencer, and Content Marketing. Owns Marketing Mix Modeling, incrementality testing, causal inference, attribution, experimentation, and media effectiveness analysis. Uses SQL and statistical programming to evaluate customer and media data, develop investment recommendations, and communicate findings to executives. Partners cross-functionally with Marketing, Finance, Data Science, Engineering, Product, and agencies while leading analytics talent and remaining hands-on.

Leads paid media analytics initiatives, including media mix modeling, experimentation, attribution, forecasting, and scenario planning. Owns data workflows using SQL, Python, and Databricks; translates findings into recommendations for marketing and senior leaders. Partners cross-functionally to define metrics, communicate analytical insights, automate reporting with AI and GenAI, and optimize media investments against business outcomes.

Leads a team of 7–8 analytics professionals supporting user growth, activation, engagement, retention, conversion, and rentals analytics. Owns experimentation strategy, A/B and multivariate testing, KPI frameworks, funnel diagnostics, dashboards, Snowflake data models, and Tableau self-service analytics. Partners with Product, Engineering, Design, and Finance to guide growth investments and senior-level decisions. The role also requires hiring, coaching, AI-enabled analytics workflows, and strong statistical and causal reasoning.

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.

Supports Internal Audit and Credit Review through data acquisition, analytics development, automated testing, reporting, data integrations, API connectivity, and Optro platform administration. Translates audit and business requirements into technical data solutions, supports SOX testing and continuous monitoring, maintains dashboards and reports, and assists with audit technology, compliance assessments, and executive reporting.

Analyzes recruiting competitive intelligence, talent-market trends, competitor hiring, and workforce data. Develops research frameworks, dashboards, automated reporting, and executive-level recommendations to guide hiring strategy. Partners with recruiting, workforce planning, IT, and data engineering teams to address research requests, improve data accuracy, and scale intelligence delivery through technology and AI-enabled solutions.

Conducts data analysis, develops and tests models, prepares datasets, creates dashboards, and delivers actionable business insights. Supports small analytics projects, executive presentations, process improvements, and stakeholder solutions for Seller Marketplace operations. Collaborates cross-functionally to identify trends, optimize workflows, and enhance AI-driven tools, escalation speed, and case management accuracy.

Investigate and triage data-quality, freshness, and pipeline issues across governed sales data products. Validate models and migrations through row-level, column-level, and parity checks; monitor dbt tests, source freshness, and observability alerts; support UAT and hypercare; verify fixes in Snowflake; and document definitions and known issues. The role offers a structured path from data operations and support into data engineering, including model development, testing, and ownership of data products.

Leads pricing and monetization analytics, measuring initiative impact and identifying growth opportunities. Defines performance metrics, builds dashboards and automated reporting, and creates frameworks for Corporate Strategy priorities. Partners with pricing, product, sales, deal desk, and field teams to provide actionable insights and operational enablement. Uses statistical analysis, AI tools, and data-driven guidance to improve decision-making and scale best practices.

Leads analytics for a designated sub-vertical, serving as the primary analytics partner to Sales and senior clients. Translates ambiguous business questions into actionable insights, manages analytic engagements, supports partner performance, and influences campaign strategy. Uses SQL, AI tools, and compelling storytelling to deliver analysis, QBR narratives, measurement frameworks, and recommendations. Represents analytics in cross-functional and external discussions while helping prioritize team capacity and evolve scalable analytic processes.

Performs descriptive and prescriptive analytics on healthcare transaction data, including data extraction, cleaning, feature creation, exploratory analysis, validation, dashboarding, and reporting. Translates business questions into analytic tasks, supports product discovery and MVP prototypes, profiles data sources, reviews ETL processes, and documents reproducible methodologies. Partners with engineering, product, analytics, and commercial teams while maintaining data privacy, governance, quality, and clear communication for technical and non-technical audiences.

Analyze lifecycle marketing performance, develop measurement and attribution frameworks, optimize campaigns and customer journeys, and connect marketing activity to product and business outcomes. Partner with marketing, product, engineering, and data teams to improve analytics capabilities, use AI-powered techniques for predictive insights, and present recommendations to senior leadership.

Own measurement strategy and instrumentation quality for web and mobile initiatives. Translate business goals into tagging specifications, KPIs, event schemas, and acceptance criteria; partner with marketing, product, engineering, and analytics teams; validate releases; troubleshoot tracking issues; govern data standards; and ensure behavioral data produces reliable, analytically accessible datasets and reporting.

The Compliance Data & Analytics Manager develops AI and automation prototypes, integrates disparate data sources, builds Python and SQL analytics workflows, and creates web applications and automated alerts for compliance risk intelligence. The role partners with Legal, Finance, Regulatory Affairs, data science, and business intelligence teams to improve risk models and translate regulatory requirements into actionable analytical solutions.

The Media Analytics Manager analyzes Amazon Media data, develops audience and performance insights, and recommends media optimizations supporting brand strategy and marketing KPIs. Responsibilities include championing Amazon Marketing Cloud adoption, synthesizing paid and organic media trends, evaluating media tests, monitoring competitive and retail activity, and translating analyses into actionable recommendations. The role also supports cross-functional program management with internal teams, Amazon, and agency partners.

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.

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.

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.