Top Data & Analytics Jobs in Spokane, WA

The Revenue Strategy & Planning Manager will develop actionable growth plans by analyzing data, building reports, and collaborating with Sales leaders to enhance B2B revenue strategies.

The Cloud FinOps Practitioner will design and implement cloud financial operations, focusing on cost optimization, governance, and collaboration across teams to enhance efficient cloud usage.

As a Staff Analytics Engineer, you'll lead analytics architecture, ensure data quality, collaborate with stakeholders, and drive AI-powered data insights for business decision-making.

Lead statistical consulting and programming for clinical trials: design and finalize SAPs, develop randomization and IVRS specs, create and validate ADaM/SDTM analysis datasets, generate tables/listings/graphs, perform analyses (including interim/blinded), mentor/QA programmers, and support regulatory reporting and ad-hoc analyses.

As a Staff Data Engineer, lead the technical roadmap for data infrastructure, manage complex data architectures, and mentor engineers while driving the organization's data platform innovations.

Lead fraud detection efforts by analyzing data, developing detection methods, collaborating with teams, optimizing fraud rules, and monitoring performance metrics.

As the Capital Markets Manager, you will secure funding through securitization programs, manage partnerships, and lead structured finance negotiations while mentoring your team.

The Senior Analytics Engineer will enhance data models, optimize performance in Snowflake, and bridge data engineering with analytics teams for strategic decision-making.

The Analytics Engineer will develop the Analytics layer in the data warehouse using dbt, define business logic with SQL, and collaborate with teams to meet data needs.

The Data Scientist will build analytics infrastructure, conduct analysis and modeling, and collaborate with teams to enhance data impact and insights. Responsibilities include exploratory analysis, model building, and maintaining datasets for student success and operational efficiency.