Top Remote Analytics Manager Jobs

The Manager, AI Solutions & Analytics will operationalize AI adoption, support cross-functional AI workflows, and integrate AI into business processes while working collaboratively across teams.

The Manager of Business Analytics - Fraud leads efforts to develop and optimize fraud risk strategies, improve monitoring frameworks, and support product launches through analytical insights on fraud risks.

Manage the roadmap and project timelines for product features, collaborate with engineering teams, and gather customer feedback as a subject matter expert.

Lead a team to deliver data solutions that support analytics and data science; manage cloud-based big data systems and implement advanced data processing pipelines.

Lead program analytics and production support for electronic clinical data exchange. Manage data requests, value modeling, KPI reporting, incident resolution, cross-functional coordination, vendor relationships, and process improvements to ensure regulatory-compliant interoperability and business operations support.

Lead design and delivery of analytics, dashboards, and data models for Compensation and Benefits. Partner with Total Rewards, HR, Finance, and Technology to provide actionable insights, drive pay equity and regulatory reporting, and implement automation, data governance, and predictive analytics to improve program effectiveness and decision-making.

The Manager Decision Support Analytics oversees department operations, manages data analysis projects, and aligns reporting with clinical goals. This role includes developing dashboards and maintaining data integrity while leading a team in a healthcare environment.

Lead marketing measurement, attribution, and reporting infrastructure. Build automated dashboards, ensure tracking integrity across channels, integrate data sources, deliver performance insights, and partner with operations and agencies to connect marketing to patient acquisition.

Lead a team of data engineers and analysts, define the data engineering roadmap, oversee data infrastructure, ensure analytics delivery, and establish data governance standards.

The Principal Product Manager will drive data strategy, product development, and analytics for clinical and financial insights, ensuring member success and operational excellence.

The Senior Manager will oversee the fraud lifecycle, optimize detection strategies, conduct fraud reviews, collaborate with teams, and manage risk reporting.

Lead and develop a team of data scientists and analysts to deliver forecasting, experimentation, behavioral analytics, segmentation, churn and health-score models, and revenue forecasts. Partner with product, marketing, sales, and CX to define metrics, measurement frameworks, and analytics best practices while managing internal analytics platform capabilities.

Manage client-facing data and analytics projects: define data strategy, build automation and ETL, develop visualizations and predictive analytics, drive transformation, manage scope/budget, and communicate findings to non-technical stakeholders while leveraging finance knowledge.

Embed within a core business area to define problems, build metrics/reports, run analyses and experiments, surface insights, and drive recommendations to deliver measurable business outcomes across growth, product, AI, and partnerships.

Own the analytics function for an assigned business area (growth, product, AI, or partnerships). Define problems, metrics, and experiments; pull and analyze data; build reports and dashboards; surface insights and drive recommendations through to execution to improve key business metrics.

Embed within a core business area to define problems, build reports and experiments, pull and interpret data, surface insights, and drive cross-functional decisions end-to-end to improve key metrics.

Embedded BizOps analytics leader owning end-to-end analytics for a business unit: define problems, build reports and experiments, analyze data, surface insights, drive recommendations and execution across growth, product, AI/automation, or partnerships to improve key metrics and scale the business.

Own analytics for an embedded business unit: define problems and metrics, build reports, run analyses, design experiments, and drive cross-functional recommendations to improve growth, product, AI, or partnerships.

Own analytics for an embedded business unit (growth, product, AI/automation, or partnerships): define problems, build metrics and reports, run analyses and experiments, surface insights, make recommendations, and drive execution with cross-functional stakeholders to move key business metrics.

Own analytics for an embedded business unit (growth, product, AI, or partnerships). Define problems, build metrics and reports, run analyses and experiments, surface insights, make recommendations, and drive outcomes end-to-end.

Embed within a business unit to define problems, build metrics, reports and experiments, run analyses, surface insights, recommend actions, and drive execution across growth, product, AI, or partnerships.

Manage HRIS, analytics, and payroll operations, optimizing systems, ensuring compliance, and delivering insights for workforce planning and decision-making.

The Strategic Product Manager oversees product lines including Predictive Analytics and AI, managing strategy, profitability, and implementation while collaborating with various teams.

The Manager, Analytics Services will lead a team to deliver high-quality analytics projects, manage client relationships, and integrate AI solutions in healthcare analytics, focusing on business growth and client satisfaction.

The Finance Manager leads FP&A for hardware service operations, transitioning manual processes to automated systems and managing inventory, costs, and budgeting.