Top Remote Analytics Manager Jobs

Lead paid media analytics for performance marketing: build SQL-based reporting and Power BI dashboards, validate agency/platform data, run deep-dive diagnostics across paid channels, support experimentation and MMM inputs, and provide actionable media investment recommendations to improve lead quality and enrollment outcomes.

Lead a team delivering enterprise analytics and BI: define analytics roadmaps, build dashboards/scorecards, ensure data integrity, partner with business and tech teams, and drive AI-enabled insights to support strategic decision-making across the organization.

Lead marketing measurement initiatives (MMM, attribution, incrementality) using causal inference and validation techniques. Partner with marketing, data engineering, and vendors to deliver actionable insights, KPI frameworks, and strategic recommendations that optimize marketing ROI.

Own and build customer health, usage/adoption, and product configuration data models. Produce ad-hoc and recurring analyses to identify upsell/expansion opportunities, partner with CS, Sales, Product, and Data teams, and present actionable insights to leadership to drive revenue-relevant actions.

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 FP&A engagements for private equity-backed middle-market companies by developing forecasting models, financial and operational reporting, profitability analysis, and process improvements. Manage project resources, communicate with C-suite and PE stakeholders, implement performance management capabilities, and support deployment of actionable plans. Emphasizes data analytics, Excel modeling, and client-facing advisory responsibilities with travel as needed.

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.

Own and scale the finance and accounting data ecosystem: design and maintain BigQuery integrations, ensure data integrity and governance, build reconciliations and automated controls, develop scalable reporting and dashboards, support monthly close, forecasting, budgeting, and automate finance processes to improve visibility and efficiency.

Lead strategy and execution for Business Development data, analytics, automation, and AI readiness. Oversee reporting, data governance, data products, and a multidisciplinary team to modernize processes, enable advanced analytics and generative AI, and drive data-driven decision-making across BD and enterprise partners.

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.

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

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.

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

Lead global partner analytics and planning for partner GTM motions. Build dashboards, business models, AI-enabled workflows, and executive reports to support partner planning, incentives, coverage, performance management, and cross-functional decision-making across hyperscalers, ISVs, marketplaces, and reseller channels.

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.

Own marketing measurement, operations, and analytics: build and QA campaigns, set goals, measure performance and attribution, manage data infrastructure and segmentation, optimize lead scoring/routing, apply AI/ML for automation and predictive insights, and document scalable processes to drive demand generation and cross-team alignment.

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.

The Analytics Manager analyzes complex datasets, builds models, conducts scenario analyses, and provides strategic recommendations to guide decision-making for leadership.