Top Remote Data & Analytics Jobs

The Principal Fraud Strategy Analyst will drive risk strategy for embedded finance, coordinating with teams, analyzing data for fraud mitigation, and presenting insights to leadership.

Manage and analyze sales data for hyperscaler relationships, providing insights and reports to support strategic decision-making with cross-functional teams.

The role involves managing sales data analytics, reporting for hyperscaler relationships, partnering with cross-functional teams, and presenting analytical insights to leadership.

The role involves strategic analytics for the hyperscaler sales organization, managing sales data, developing reports, and presenting insights to senior leadership.

As a Business Insights Analyst, you'll analyze complex data sets from various industries, providing clients with actionable insights to enhance web performance and user engagement, ultimately driving business outcomes.

The Workforce Planning Partner is responsible for delivering data-driven workforce solutions, managing headcount processes, and building analytical tools for strategic workforce planning.

Responsible for designing, developing, and deploying ML models to optimize supply chain processes, collaborating with cross-functional teams, and mentoring junior scientists.

As an Analytics Engineer, you'll design and maintain data models, implement data transformation workflows, ensure data quality, and collaborate with teams to deliver insights.

The Staff Data Engineer will build and scale data pipelines, collaborating across teams to integrate AI technologies and optimize data systems for analytics.

Lead analytical strategies to increase Specialty Care utilization, drive rapid experimentation, and leverage complex data. Collaborate across teams to inform product strategy and outcomes.

As a Staff Analyst on the Home Analytics team, you'll conduct analyses, manage A/B tests, mentor junior members, and develop business intelligence to enhance decision making.

As a Research Scientist, you will develop and deploy ML models, enhance valuation systems, and collaborate on data integration for improved decision-making.