Top Remote Data & Analytics Jobs in Reno, NV

The Senior Data & Analytics Consultant will lead data insights for the pet business's pricing and performance, manage analytics initiatives, and ensure accurate data reporting.

The Lead Data Governance Specialist manages data integrity and accessibility across platforms, driving best practices, collaboration, and compliance in healthcare analytics.

The Client Analyst will manage client-facing data and analytics requests, align objectives with campaign performance, provide insights, and optimize campaigns for key accounts.

The Senior Data Engineer will architect, build, and maintain scalable data pipelines and infrastructure, mentor junior engineers, and collaborate on data solutions for Openly's insurance platform.

The Clinical Data Analyst will design and implement analytics for payer-grade outcomes, integrate claims and clinical data, and support business metrics analysis tailored for client relationships. They will ensure data quality and governance while translating clinical data into economic value across various healthcare analytics initiatives.

As a People Team Data Analyst, you'll analyze hiring data to influence recruitment strategies and improve hiring processes, ensuring high data quality and effective communication of insights.

The Senior Data Engineer will own and evolve data pipelines, collaborate with teams for data models and pipelines, optimize ETL processes, and implement data storage solutions.

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.

Analyze auction data to identify performance drivers and risks, collaborate with commercial teams, and provide actionable insights to optimize DSP outcomes.

The Risk Analyst will develop strategies to mitigate fraud risk, analyze data, and collaborate with various teams to support low friction customer experiences. Responsibilities include reviewing accounts, creating analytical models, and reporting on progress against business goals.