Top Analytics Jobs in Spokane, WA

The Senior Reserving Analyst will enhance profitability monitoring dashboards, assist with the reserving process, maintain data templates, and build benchmark tools. This role includes translating reserving results into cross-functional recommendations and communicating them with the executive team on financial decisions.

The IT Advisory and Analyst Management Lead will manage relationships with key advisory firms, oversee advisory engagements, analyze market research for actionable insights, lead vendor evaluations, and ensure alignment with business objectives. They will communicate findings to stakeholders, manage contracts and budgets, mentor a team, and provide performance reports on advisory engagements.

The CS Operations Analyst is responsible for reviewing Solution Design documents, drafting Quotations, and managing the Contract review process in a fast-paced environment. This role also involves driving process improvements and collaborating with internal teams to enhance contract management workflows.

The Marketing Data Analyst will develop, manage, analyze, and optimize marketing campaigns, focusing on achieving cost per acquisition goals through data structuring and analysis. They will provide insights into campaign performance and recommend strategic improvements based on reporting.

The Data Analyst Lead will manage and analyze large datasets for energy efficiency programs, facilitate program evaluations, develop reports and dashboards, ensure data quality, and provide actionable insights to stakeholders. The role requires collaboration across teams, statistical analysis, and the ability to communicate complex findings clearly.

As a Research Analyst at The Block, you will create in-depth thematic reports on digital assets, manage report deadlines, collaborate with clients, and identify topics for further research. Your analytical skills will help you produce insights relied on by institutional investors and corporate executives.

The Data Scientist will work on real-world evidence studies, developing systems to enhance data quality and usability, while collaborating cross-functionally to drive product development. This role involves technical expertise to optimize product requirements and leverage AI and statistical methods to support data-driven decision-making for biopharma clients.