Top Data Analyst Jobs in Seattle, WA

Support Finance and Sales by reconciling and validating revenue KPIs (ACV, ARR, renewals), building reporting datasets and dashboards, collaborating with CRM and data engineering teams, and participating in month-end and quarter-end close activities. Provide ad-hoc analysis and stakeholder-facing explanations of metric derivation and data quality.

Perform marketing analytics for Redfin integration: ingest and validate Redfin data feeds, analyze campaign performance and attribution, build dashboards and reports, and collaborate with marketing and engineering to support data pipelines and measurement.

Lead supply chain analytics for distribution center operations: ensure data pipeline integrity, govern and automate warehouse data, build reliable reporting, perform diagnostic and prescriptive analysis, partner with engineering and business stakeholders, create KPIs and storytelling, and mentor junior analysts to drive operational improvements.

Design, build, and maintain Power BI dashboards, data models, and visualizations. Perform exploratory and trend analysis, optimize refresh and report performance, collaborate with stakeholders to translate requirements into actionable insights, and improve BI capabilities through automation and ongoing enhancements.

Support paid media measurement by building reusable, self-service analytics and Power BI dashboards; evaluate models and experiments, provide actionable insights for media optimization, collaborate across teams, and design/perceive survey-based measurement and attribution approaches.

Design, implement, and validate data mapping, transformation, and integration solutions for payment integrity. Investigate and resolve complex data quality issues, create mapping specs and documentation, partner with stakeholders, and mentor analysts to improve data quality and automation.

Analyze data through ad-hoc and statistical methods, utilizing SQL for large data processing, presenting insights using Excel, and collaborating in teams to improve customer experience.

Lead ownership of client billing data and infrastructure for Finance: run reconciliations, investigate billing issues, build BI dashboards, automate workflows with SQL/Snowflake, monitor revenue leakage, and support Billing 2.0 UAT while training Finance on reporting and Looker standards.

Partner with People teams to turn HR and org data into actionable insights. Build complex queries, statistical analyses, dashboards, and a centralized people data repository. Drive data governance, data quality, and stakeholder communication to support hiring, retention, productivity, and workforce decision-making.

Lead product-focused data science and analytics work: define success metrics, design and analyze A/B tests, investigate product and customer performance, build anomaly detection frameworks, and translate insights into product and roadmap recommendations while partnering with cross-functional teams.

Build and maintain the product analytics data foundation: design scalable dbt models, define semantic models and governed metrics, partner with Engineering on instrumentation, certify datasets for BI tools, monitor pipelines and data quality, and use AI to accelerate analytics engineering workflows.

Serve as the bridge between business stakeholders and technical teams to elicit, document, and govern data and reporting requirements. Produce source-to-target mappings, user stories, acceptance criteria, and audit-ready documentation. Coordinate data governance, validate data models with engineers, support testing and UAT, contribute metadata definitions, and maintain Agile artifacts to deliver compliant cloud-based reporting, analytics, and AI/ML data products.

Lead the elicitation, documentation, and governance of business and data requirements for cloud-based data products. Drive source-to-target mappings, collaborate with engineers and architects, support testing and UAT, produce Agile artifacts, contribute to metadata ingestion, and ensure audit-ready, compliant reporting and analytics for the CMM program.

Senior individual-contributor analyst leading end-to-end, high-stakes analyses, designing dashboards and reporting, mentoring analysts, applying statistical methods and causal inference, partnering with analytics engineering to shape warehouse models, and translating findings for technical and non-technical stakeholders.

This role requires managing revenue and P&L reports, supporting business processes with report maintenance and creation, and managing inquiries related to reporting.

Perform structured data conversion, cleansing, validation, and mapping for system implementations. Execute validation scripts, support UAT, document discrepancies, reconcile legacy and converted data, and escalate anomalies to senior consultants while maintaining organized records and templates.

Support analytics by cleaning, validating, and transforming data; build dashboards and KPI reports; perform trend, cohort, and A/B testing analyses; improve data pipelines and forecasting; present insights to cross-functional teams.

Analyze large healthcare datasets to extract insights, build data models, reports and dashboards, ensure data quality, collaborate with cross-functional teams, and present findings to stakeholders.

Support marketing analytics by analyzing digital channel performance, building and maintaining KPI dashboards, ensuring data accuracy, and collaborating with cross-functional teams to turn insights into actionable recommendations.

Own and maintain data products end-to-end for sector teams, analyze large datasets, refine methodologies, automate workflows using AI and tooling, collaborate with Research, Engineering, and Product, and deliver accurate, client-facing insights and improvements.

Own support analytics for User Operations: build dashboards and recurring reports, track north-star metrics (cSAT, TTR, QA, escalations), instrument Zendesk, connect support to product/customer data, quantify operational costs of bugs, and measure AI-driven support performance.

Build scalable GTM and product analytics to inform revenue, retention, and growth decisions. Partner with Sales, Customer Success, Finance, Product, and Data Engineering to deliver dashboards, models, and executive data stories; validate data quality; measure ROI; and enable self-service reporting across the lead-to-quote-to-cash journey.

Manage a portfolio of data center, real estate, network, and equipment leases; ensure lease data integrity and ASC 842/IFRS16 compliance; abstract complex lease agreements into the lease database; coordinate with Accounts Payable and Operations for payments and reconciliations; resolve landlord billing disputes; perform OpEx desk audits; and drive process and reporting improvements.

Senior Data Analyst responsible for owning supply chain data governance, delivering analytics and storytelling, designing Looker/BigQuery data models and dashboards, supporting supply chain performance analysis, KPIs, and mentoring junior analysts to drive operational improvements.

Partner with cross-functional teams to design experiments, analyze large datasets, build dashboards and metrics, identify trends and customer behaviors, improve data quality and instrumentation, and provide actionable recommendations that drive strategic decisions and operational improvements.