Top Analysis Reporting Jobs in Spokane, WA

Supports strategic planning through market, competitor, and trend research; market sizing; benchmarking; SWOT analysis; data synthesis; and reporting. Partners with cross-functional stakeholders to develop insights, identify opportunities and risks, and inform business recommendations. Assists with research projects, presentations, regional and global market assessments, and enterprise planning activities while working under guidance on complex analyses.

Owns the design, development, maintenance, and performance of data pipelines, analytical models, and a centralized marketing semantic layer built on Microsoft Fabric. Responsibilities include DAX measure development, data architecture, source integration, documentation, data quality, troubleshooting, on-demand analysis, technical decision-making, and mentoring. The role partners with data engineering and business intelligence teams, supports production deployments, and contributes to applied AI initiatives.

Leads the Supplemental Data organization supporting clinical data collection, validation, and loading for HEDIS gap closure across Medicaid, Medicare, and Marketplace programs. Manages Managers, oversees escalations and market support, improves companywide data processes, and leads cross-functional analytics initiatives. Establishes strategic department goals, manages delivery schedules and budgets, and communicates with stakeholders. Requires advanced SQL, Microsoft Access, relational database, reporting, healthcare claims, and data analysis expertise.

Process railroad safety data from receipt through publishing, including logging submissions, scanning and transcribing paper forms, validating reports, and processing inspection and crossing inventory updates. Return incomplete submissions for correction and provide backup Help Desk coverage. The role requires accurate regulatory data processing, Excel proficiency, and basic SQL knowledge, with eligibility to pass a DOT background investigation.

Develops scalable analytics, dashboards, reporting, datasets, and decision-support solutions for Hub leadership. Translates ambiguous business questions into analytical approaches, KPIs, and actionable recommendations using SQL, Power BI, and Databricks. Supports data governance, stewardship, quality, definitions, documentation, and trusted data assets while partnering with Technology and business stakeholders to build future analytics capabilities.

Designs, develops, deploys, and supports enterprise BI solutions using Power BI, including dashboards, reports, semantic models, KPIs, and self-service analytics. Translates business requirements into scalable technical solutions, develops complex SQL and data transformations, partners with stakeholders and analytics teams, applies governance and performance standards, and implements automation for report distribution, refresh, validation, and recurring workflows.

Supports government program data collection and analysis by developing reports, dashboards, forecast models, automated reporting solutions, and briefing materials. Performs statistical analysis, data modeling, visualization, database development, documentation, and ad hoc reporting. Collaborates with government and contractor stakeholders, supports data collection tools, identifies performance indicators, and presents findings to agency leadership. The role is remote with potential future work at a Washington, DC government facility.

Owns enterprise data architecture across on-premises and cloud systems. Designs data models, integration patterns, governance standards, security controls, and cloud migration strategies. Evaluates data platforms, documents architecture decisions, supports CUI compliance with NIST and CMMC requirements, and partners with technical, security, infrastructure, application, and business teams. Mentors engineers and analysts while communicating technical recommendations to executive and non-technical audiences.

Supports analysis of personal lines product performance and competitive position. Gathers, validates, cleans, and organizes internal and external data; performs foundational statistical analysis; maintains reports, visualizations, spreadsheets, and dashboards; uses SQL and analytical code; documents methods and findings; collaborates with Product and cross-functional teams; and contributes to defined-scope projects and process improvements under guidance.

Designs, builds, and operates scalable batch and streaming data pipelines, ETL/ELT workflows, cloud solutions, and secure Python REST APIs. Develops data foundations for machine learning, generative AI, embeddings, and retrieval-based applications. Ensures data quality, security, observability, lineage, and reliability while optimizing performance and cost. Leads architecture and code reviews, establishes engineering standards, mentors engineers, and collaborates with product, analytics, data science, and machine learning teams.