Top Senior Data & Analytics Jobs in Spokane, WA

The Senior Privacy Manager will lead complex privacy consulting engagements, mentor a team of privacy professionals, and guide client initiatives across various regulations while fostering a collaborative team culture.

The role involves leading global forecasting and performance management, setting standards, overseeing processes, collaborating with cross-functional teams, and developing a high-performing team in the oncology biotech sector.

The Senior Analytics Engineer will design and build scalable data pipelines using dbt and Snowflake, providing technical guidance, conducting audits, and mentoring junior engineers while leveraging AI tools to enhance productivity.

Lead analytics for Omnichannel retail/restaurant/CPG partners: act as primary analytics contact for Sales, manage analytic engagements and team capacity, perform SQL-based analysis, craft data-driven narratives and recommendations, influence campaign strategy, represent analytics in cross-functional settings, and automate insights using AI-enabled tools.

Contract Tableau expert to design, build, and improve dashboards from source data. Model complex datasets, optimize performance and usability, establish dashboard best practices, and partner with stakeholders to deliver actionable reporting (30–35 hours/week, contractor).

As a Senior Data Analyst, you'll provide actionable insights by analyzing product and engineering data, partnering with leadership on metrics frameworks and decision support for product delivery.

Lead development and maintenance of go-to-market analytics and category management tools to optimize pricing, promotion, distribution, displays, and shelf placement. Provide actionable insights using POS and syndicated data, present business reviews to clients, track KPIs across retailers, and support sales and marketing objectives across omnichannel channels.

As an Associate Director, you'll lead the design and implementation of integrations using iPaaS tools, manage teams, and help clients optimize ERP transformations.

The Business Analyst will document user stories, collaborate with product owners, lead scrum sessions, perform system analysis, and support implementation efforts. They will provide training and update process documentation.

The Lead Risk Analytics Data Scientist will develop risk pricing, design data models, automate workflows, and communicate insights to leadership. Responsibilities include owning the risk narrative, building analytics foundations, and utilizing AI to enhance efficiency.