Top Data & Analytics Jobs in Spokane, WA

Own Silver and Gold medallion-layer modeling and semantic layer governance using dbt and SQL. Improve warehouse performance and cost, standardize BI tooling, collaborate with stakeholders to produce trusted metrics, troubleshoot data quality, and evolve analytics platform.

Manage analytical service operations by overseeing a team, designing software for data mining, developing statistical models, and generating insights for marketing outcomes. Provide training and mentorship to direct reports.

Intern researches practical AI applications for sales, evaluates CRM and sales tools, tests usability and functionality, analyzes feedback and usage data, documents findings, and develops recommendations and a technology improvement roadmap. The role includes prompt development, stakeholder collaboration, project milestone tracking, and presenting final recommendations. Candidates must be enrolled in a relevant college program and have strong analytical, communication, organizational, and Microsoft 365 skills.

Analyzes financial, operational, and clinical data to create reports and dashboards, validate data quality, maintain business intelligence resources, and provide recommendations to service line leaders. The role partners with end users to translate business needs into reporting solutions, researches new analytics capabilities, presents findings, and trains employees on dashboards and reports.

Leads enterprise business intelligence strategy, governance, reporting, semantic modeling, analytics delivery, and modernization. Oversees SAP BusinessObjects and DB2 reporting while advancing Snowflake, dbt, Fivetran, Prefect, governed data products, and self-service analytics. Manages BI personnel and distributed resources, prioritizes delivery, standardizes KPIs and data definitions, ensures reporting quality and performance, and partners with executives and stakeholders to align analytics capabilities with business priorities.

Administers enterprise Microsoft SQL Server and SharePoint environments across development, test, and production. Responsibilities include performance tuning, high availability, backup and recovery, disaster recovery, security, STIG and RMF compliance, automation, patching, upgrades, troubleshooting, and infrastructure support. Supports SharePoint farms, permissions, workflows, integrations, and customizations; collaborates with technical and government stakeholders; maintains documentation; participates in incident response and change management; and provides mentoring and occasional after-hours support.

Perform high-volume data entry and document classification for investment funds, file and process emails using a filing system, analyze vendor feeds, manually price instruments, establish fund mappings, validate data quality, and support ad-hoc data requests and lookup inquiries.

Design, build, optimize, and modernize enterprise Microsoft data platforms (Azure, Fabric). Develop ETL/ELT pipelines, data warehouses/lakehouses, implement governance, security, DevOps/CI-CD, and support Power BI and AI initiatives while consulting with stakeholders.

Technical lead for data engineering who designs, builds, and owns scalable Snowflake ELT pipelines and data models. Mentors engineers, drives standards, optimizes performance and costs, and partners with product, analytics, QA, and governance to deliver observable, high-quality data solutions. Contributes to platform strategy, DataOps/CI/CD adoption, and ensures data quality, testing, and documentation.

Own the Databricks enterprise data warehouse and BI solution, designing data models, ETL/ELT pipelines, stored procedures, semantic layers, and governed analytics. Lead healthcare data initiatives supporting value-based care metrics such as HCC, HEDIS, Stars, utilization, MLR, and capitation. Serve as BI product owner, manage roadmap and agile delivery, enforce data quality and HIPAA-aligned controls, and lead a small team while remaining hands-on.