Top Remote Data & Analytics Jobs

Develop complex analytics, reporting, dashboards, data products, and ETL/ELT pipelines supporting Medicare Advantage supplemental benefits. Analyze healthcare data, ensure quality and compliance, translate findings into recommendations, collaborate with stakeholders and vendors, manage concurrent initiatives, improve processes, document solutions, and mentor team members.

Owns analytics and optimization strategy for advertising revenue across Zynga’s mobile game portfolio. Responsibilities include monitoring performance, diagnosing trends, designing A/B tests, identifying monetization opportunities, partnering with product, analytics, and data science teams, supporting AI and ML models, leading cross-functional initiatives, and mentoring analysts.

Drives measurement, attribution, data analytics, and business intelligence initiatives. Integrates large-scale data from multiple platforms, performs exploratory analysis and hypothesis testing, develops predictive models, evaluates advertising campaigns, and communicates insights to executives. Ensures data integrity, governance, privacy, and security while collaborating with business leaders and data partners.

Lead programmatic analytics for clients and internal teams by analyzing campaign and model performance, designing tests, developing measurement solutions, recommending optimizations, and presenting actionable insights. Partner with Sales, Customer Success, Product, Engineering, and clients to align marketing strategies, reporting requirements, and optimization efforts with business goals.

Lead and scale Runpod’s analytics and business intelligence function, managing analysts and BI practitioners while setting the analytics roadmap. Own core company metrics, consumption and marketplace analytics, self-service reporting, experimentation practices, and executive and board-level insights. Partner with Product, Finance, Engineering, Security, Supply, and Go-to-Market leaders to improve data quality, modeling, decision-making, and strategic outcomes.

Analyzes and monitors Personal Lines Auto pricing program performance across state and national markets. Defines metrics, queries and interprets data, creates visualizations and reports, identifies trends, and communicates insights to stakeholders. The role collaborates on monitoring datasets, develops analytical tools and processes, supports complex projects and product launches, and serves as a subject matter expert for Auto product rollouts.

Provide consultative reporting and analytics for large Group Benefit Solutions clients, translate claims data into actionable insights, develop and present recommendations, build new reporting capabilities, collaborate with underwriting and account teams, troubleshoot data issues, and support operational improvement and analytics projects.

Lead complex data analyses, develop statistical models, write advanced SQL, build data models and dashboards, and establish technical standards for analytics. Mentor analysts, troubleshoot data quality and modeling challenges, partner with data engineering, translate ambiguous business questions into rigorous analyses, and communicate findings to senior stakeholders. Own the analytics function’s technical roadmap while ensuring data privacy and security practices.

Leads end-to-end marketing analytics for small business acquisition campaigns, including opportunity sizing, targeting, experimentation, performance reporting, profitability, and ROI measurement. Partners with Marketing, Finance, Modeling, and Data teams to guide investment decisions and improve measurement rigor. Owns stakeholder delivery, data requirements, analytic frameworks, controls, and auditability while coaching junior analysts and translating complex findings into clear recommendations for senior audiences.

Build and maintain Engine X performance dashboards, reporting frameworks, data models, and complex SQL analyses using Snowflake. Track card, booking, rewards, spending, and retention metrics; investigate anomalies; support A/B tests; document metric definitions; and communicate findings to product, finance, and leadership. Collaborate with analytics and data engineering teams to validate pipelines and improve data quality.