Top Remote Analytics Manager Jobs

Lead and own the population health analytics pipeline: intake and reconciliation of claims, eligibility, and MAO-004 data; identify and reconcile care gaps and closures; deliver practice-level performance analysis and billing reconciliations; build funnel instrumentation; document, standardize, and automate pipelines with Product and Engineering. Ensure billing-grade accuracy and support program measurement aligned to CMS reconciliation windows.

Lead and mentor an analytics team to design and implement data-driven solutions, align analytics with strategy, manage Agile workflows, build stakeholder relationships, and monitor KPIs to improve healthcare delivery and outcomes.

Lead credit risk analytics for credit card and personal loan portfolios: develop ML-driven credit strategies, monitor portfolio performance, run A/B tests, forecast credit losses and stress tests, ensure regulatory compliance, and partner across Product, Engineering, Legal and Marketing.

Own audience analytics across website, email, and events to define KPIs (LTV, time spent, repeat visitation), reconcile data across CRM/ESP/revenue systems, build segments and re-engagement strategies, drive personalization and retention, report trends, and partner cross-functionally while using AI/agentic tools to scale insights and measurement.

Lead market intelligence and analytics for Orthopaedics, owning market and sub-segmentation models, forecasting, competitive intelligence, secondary research, and executive-ready insights to inform commercial strategy and planning.

Lead the RevOps analytics function: manage an analytics team, own revenue reporting and forecasting, build measurement frameworks, enforce data governance, partner with BI/engineering, analyze funnel and retention metrics, and embed AI/automation to improve revenue predictability and GTM performance.

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.

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.

Lead vision, strategy, and execution for AI and analytics capabilities across the Avigilon platform. Ship production-grade AI/ML features (computer vision, VLMs, generative and agentic AI), run discovery with customers, define scale and performance metrics, and align cross-functional teams to deploy edge-to-cloud solutions that drive operational impact in physical security.

Lead analytics and data-product initiatives for healthcare clients: gather reporting requirements, design and develop reports/products, test and validate, provide post-implementation support, and partner with stakeholders to drive adoption and measurable value.

Lead quota modeling, territory design, and commission planning; maintain Salesforce data and dashboards; leverage Gong/Clari and AI tools to improve forecast accuracy; produce executive-ready sales performance analysis; collaborate cross-functionally and drive continuous improvement in reporting and data governance.

Lead the vision and delivery of customer-facing AI/ML models and data products. Partner with clients, data science, and engineering to define requirements, validate hypotheses with SQL-driven analysis, design data visualizations, and launch features that drive adoption and ARR.

Lead development and delivery of operational Receivables reports, dashboards, and analytics. Improve KPI visibility, data integrity, and automation across Collections, Cash Applications, Credit, and Accounts Receivable. Build scalable BI solutions, validate multi-system data, standardize reporting governance, partner with Finance and operational stakeholders, and provide actionable insights to drive performance improvements.

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

The Finance Manager will lead FP&A for hardware service operations, manage budgeting, headcount tracking, and automate financial processes while providing insights on costs and supporting operational modeling.

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.

Lead product marketing for MarketScan by defining positioning, messaging, and go-to-market strategies for Life Sciences customers. Drive market and competitive intelligence, buyer segmentation, sales enablement, launches, and adoption to grow revenue and improve sales effectiveness. Partner cross-functionally with Product, Sales, Customer Success, and Marketing to translate complex healthcare analytics and RWD into compelling value propositions.

Lead program management and analytics for complex federal healthcare initiatives: plan and execute programs, manage risks and resources, oversee healthcare data collection and analysis, develop dashboards and performance measures, translate findings into actionable recommendations, and coordinate multidisciplinary teams and stakeholders.

Manage design, development, and delivery of data products and analytics solutions. Lead and coach an analytics team, gather requirements, improve processes, reduce technical debt, collaborate with platform and product architecture, and ensure solutions meet internal and external client needs.

Lead and build the Risk Analytics function: define pricing methodology and risk frameworks, own portfolio and pricing strategy, convert monitoring into decision systems, architect the Risk Analytics data layer (dbt/Snowflake), mentor senior data scientists, and represent risk recommendations to senior leadership to drive business decisions.

Lead analytics strategy and enterprise semantic/reporting layers across QuickSight/Tableau and Redshift/Athena. Partner with data engineering on domain models, enforce data quality/governance, optimize analytics performance/cost, mentor analysts, and communicate insights to executives.

Lead analytics strategy, semantic/reporting layer, and BI governance across Redshift/Athena and QuickSight/Tableau. Partner with platform teams on domain models, ensure data quality and documentation, mentor analysts, prioritize workstreams, communicate insights to executives, and optimize analytical workload cost and performance while enforcing data governance and access policies.

Lead and improve a risk-based compliance monitoring and data analytics program across commercial, clinical, medical, regulatory, and support functions. Design and execute monitoring reviews, automated analytics, dashboards, KRIs, and remediation plans. Identify compliance risks, prepare reports, partner on CAPAs, and support the annual compliance risk assessment to strengthen ethics and regulatory adherence.

Lead marketing science and analytics engagements: design measurement plans, build and interpret statistical and causal models (MMM, experimentation, geo-lift, Bayesian), analyze data with Python and SQL, create dashboards, manage partners, and mentor analysts while communicating insights and recommendations to clients and account teams.

As the first analytics hire, you will lead data-driven projects, create dashboards, and partner with teams to derive insights for operations, growth, and marketing.