Top Analysis Reporting Jobs in Spokane, WA

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.

Develops, architects, and maintains production ETL/ELT and C#/.NET data pipelines across cloud data platforms. Responsibilities include supporting Iceberg, DynamoDB, AWS Lambda, and Trino/Starburst systems; onboarding data sources; tuning performance; monitoring data quality; resolving incidents; coordinating schemas; documenting processes; mentoring engineers; and supporting releases, deployments, architecture, and roadmap decisions.

Conduct market research and competitive intelligence on U.S. higher education trends, learner behavior, program demand, and markets. Analyze internal and external data, build and maintain Microsoft Fabric and Power BI models, create dashboards, identify meaningful trends, and develop executive-ready presentations. Partner with marketing and other teams on program reviews, proposals, and strategic questions while managing multiple research projects and ensuring data accuracy.

Leads the strategy, development, and delivery of client-facing reporting and analytics for life sciences clients. Builds Power BI dashboards, automated reporting, self-service analytics, KPI frameworks, and data governance standards. Translates commercial, medical, operational, claims, prescription, and client data into actionable insights. Partners with technical and business stakeholders, manages reporting priorities, vendors, budgets, and project delivery, and presents findings to executives and clients.

Leads the enterprise data architecture vision and multi-year roadmap centered on data mesh principles. Defines domain ownership, data products, platform architecture, governance, standards, interoperability, security, and quality frameworks. Partners with executives, engineering, security, privacy, and compliance teams to drive adoption and modernization. Chairs architecture reviews, evaluates technologies, guides proofs of concept, mentors architects and engineers, and builds business cases for platform investment and migration.

Analyzes specific stop loss claims, identifies claimants, prepares data for claim entry, builds dashboards, presents insights to leadership, and drives continuous improvement initiatives. Requires at least three years of claims data analysis or operations experience, expertise in specific stop loss claims, and a bachelor’s degree in business or analytics or equivalent experience.

Build and maintain SQL-based integrations connecting behavioral healthcare EHR/EMR systems to the Eleos platform. Investigate pipeline failures, data discrepancies, and quality issues to identify root causes. Develop reusable extraction, automation, and validation tooling; document data models, mappings, and business logic; and create standardized data models. Collaborate with platform engineers, product teams, and customer technical teams to establish secure access and deliver scalable, reliable integrations.

Leads enterprise Microsoft Fabric architecture, strategy, governance, and onboarding standards for large-scale data acquisition and operationalization. Designs Lakehouse, Warehouse, OneLake, semantic, ingestion, and reusable data-product architectures across Medallion layers. Establishes metadata, lineage, observability, security, compliance, and operational controls while advising executives and mentoring architects, engineers, and data modelers. Partners with delivery teams to align platform architecture with analytics, reporting, modeling, and AI initiatives.

Leads technical operations for analytics and business intelligence systems. Designs architectures and solutions across data warehouses, BI tools, APIs, AWS, and Talend; oversees system changes, monitoring, security audits, and technical debt remediation. Collaborates across departments, implements coding standards, identifies downstream impacts, and mentors team members developing reporting applications.

Monitors, validates, and improves data quality across device, program, operational, and field sources. Designs automated checks, reconciles discrepancies, investigates root causes, documents findings, and communicates impacts and recommendations. Collaborates with analytics, engineering, MEAL, and country teams to resolve issues. Maintains reproducible analyses using SQL, programming, version control, and notebooks while supporting data governance, reporting standards, and responsible handling of sensitive information.