Top Data & Analytics Jobs in Spokane, WA

As a Senior Data Engineer, you'll design and maintain scalable data pipelines, optimize workflows with dbt and Snowflake, and mentor teams across functions to enhance data reliability and performance.

Embed on the Video product team to build reusable data models, transformation layers, and pipelines (Snowflake, dbt/SQLMesh). Deliver production-ready data products (APIs, dashboards), instrumentation, experimentation infrastructure, and predictive/causal models to inform product, retention, pricing, and growth decisions.

Lead audience, measurement, and tooling strategy for Dick's retail media. Define audience taxonomy, measurement standards, and automation roadmaps. Partner cross‑functionally to set requirements, influence product roadmaps, guide vendor selection, and develop talent—without owning campaign execution or implementation.

Design and maintain a dbt-based business data layer for GTM metrics, centralize and reconcile multi-source data, implement automated data quality and reconciliation checks, align and document metrics with stakeholders, mentor analytics team, and lead root-cause investigations into complex data anomalies.

Lead and mentor a distributed data engineering team while architecting and building a next-generation, largely open-source data platform. Own hands-on POCs, pipeline design, schema and query optimization, ETL reliability, observability, testing, and CI/CD. Evaluate and recommend technologies, drive migration from vendor lock-in, and translate advertising and market research needs into robust technical solutions.

As a Senior Analyst, you will develop data-driven solutions in collaboration with operations teams and deliver insights through reports and dashboards to improve patient outcomes.

Support Data Services by analyzing and validating data using SQL and Excel, perform quality checks and reconciliations, monitor production workflows, communicate status and escalations, and identify process improvements. Act as liaison between business stakeholders and technical teams to ensure accurate, timely data deliverables.

Own user attribution and acquisition analytics across paid and organic channels. Build Segment and AppsFlyer pipelines into Snowflake, write performant SQL and dbt-style models, reconcile CAC/LTV metrics, and ship Metabase dashboards. Track funnel from first touch to activation, identify drop-offs, run growth experiments, and use AI tools (Claude) to automate reporting and insights for marketing leadership.

Design, build, and maintain data pipelines and lakehouse infrastructure from ingestion through curated gold-layer objects. Monitor and resolve pipeline failures, implement data governance and quality, migrate on-prem to cloud, collaborate with BI and engineering teams, and automate/optimize ETL/ELT processes to support analytics and reporting.

The Data Analyst will analyze economic data, collaborate with teams, build pipelines, generate insights, and communicate findings through presentations and publications.