Top Remote Data & Analytics Jobs in Spokane, WA

The Data Analytics Associate will analyze healthcare data, support research projects, and develop insights for clients in the healthcare sector.

The Data Analyst role involves collecting, analyzing, and interpreting program data to support decisions and reporting, while ensuring data accuracy and security. Responsibilities include developing dashboards, identifying trends, and collaborating with teams.

The role involves leading e-commerce strategies, conducting analysis and A/B testing, collaborating across teams to optimize performance, and translating insights into actionable plans for clients.

Partner with a product team to design and implement product analytics: build dashboards, instrument and QA event tracking, run funnel/cohort/retention analyses, support A/B testing, and enable self-service reporting to inform product strategy and improve user experience.

Lead a data science team to develop insights from autonomous vehicle data, create scalable platforms for data access, and collaborate with cross-functional teams on performance measures.

As Associate Director of Data Strategy, you'll lead multi-channel data projects, enhance client measurement, and manage a team to optimize analytics solutions.

The Senior Director, Epidemiology leads epidemiology strategies and activities for Revolution Medicines, including developing plans, overseeing deliverables, and collaborating on clinical development and safety aspects.

The Payor Data Analyst manages client data, ensures data quality, runs reports, and collaborates with teams to improve data fidelity.

The Senior Product Analyst will analyze data to inform product strategy, develop analytics solutions, and communicate insights through visualizations, collaborating with cross-functional teams.

Serve as an AI/ML-focused solution engineer for Healthcare & Life Sciences: provide technical guidance, design cloud data and lakehouse architectures on Snowflake, lead demos and proofs-of-concept, support sales cycles, collaborate with product and engineering, and communicate AI/ML value to technical and executive stakeholders.