Top Analysis Reporting Jobs in Spokane, WA

Own and evolve the analytics platform: build and maintain dbt data models, govern semantic metrics in Lightdash, ensure data quality and observability, and partner with analysts and stakeholders to enable reliable self-service reporting.

Lead enterprise data platform strategy and architecture, define data standards and governance, drive Snowflake maturity, oversee legacy data migrations, design ingestion and DataOps patterns, and enable analytics, reporting, AI, and reusable data products across the organization.

Lead development and governance of the supply chain data warehouse and analytics platforms. Build SQL-driven models, dashboards, and KPIs to drive inventory optimization, cost reduction, supplier performance, and working capital improvements. Support ERP integrations and data migrations, perform deep data discovery and predictive analytics, and present actionable insights to senior leaders to enable strategic decision-making.

Own analysis, validation, and documentation of enterprise platform workflows and data inputs. Define test strategies, lead functional/regression validation, approve configuration changes, and drive remediation. Partner with engineering/product to ensure platform reliability, data quality, and release readiness while applying AI-enabled tools to improve efficiency.

Design, build, and maintain ETL/ELT pipelines and data architectures to ingest, normalize, and integrate operational and infrastructure data. Develop API integrations, database queries, and telemetry pipelines; create dashboards and reports; troubleshoot production data quality and collection issues; produce documentation and collaborate with stakeholders to support compliance tracking and operational analytics.

Build and maintain Quince's compensation data environment: integrate HR systems, automate benchmarking and AI workflows, support comp reviews and equity approvals, analyze pay trends, and partner with Talent, Finance, and Legal on global comp strategy.

The Staff Data Engineer will lead financial data operations, ensuring accuracy and reliability of data pipelines, while collaborating with Finance, Product, and Engineering teams to enhance systems and decision-making processes.

Lead implementations and ongoing analytics consulting for community health centers: extract, clean, and analyze EHR data (heavy SQL), build reports and visualizations, manage projects and stakeholders, train client data teams, and inform product improvements based on customer feedback and domain expertise.

Design, build, and maintain scalable ETL/ELT data pipelines and data models integrating USMC logistics systems (GCSSMC, TLS). Ensure data quality, RMF/cybersecurity compliance, support analytics, dashboards, APIs, and collaborate with NIWC Atlantic, stakeholders, and cross-functional teams to improve logistics visibility and readiness.

Partner with Product, Marketing, Growth, Engineering, and Business teams to analyze user behavior, build dashboards and self-serve reports, support A/B testing and experiment measurement, create user segments and cohorts, monitor KPIs, and communicate actionable insights to stakeholders to improve engagement, conversion, retention, and campaign performance.