Top Remote Analytics Manager Jobs

As an Engineering Manager, you'll lead a remote team, manage MLOps projects, ensure high performance, and mentor engineers while driving product strategies.

Manage complex consulting projects for Veeva customers in analytics, focusing on project delivery, client relationships, and business development.

Lead e-commerce analytics to drive commercial impact: build used dashboards, analyze acquisition/retention/funnel/channel performance, ensure tag/data-layer integrity (Tealium iQ), support A/B testing, and present actionable insights to stakeholders to grow online revenue.

Leads and develops an analytics engineering team that builds data pipelines, analytical models, reporting, and scalable data infrastructure. Partners with Product, Engineering, Growth, and Operations to deliver reliable, actionable data. Establishes governance, quality, testing, documentation, and modeling standards while prioritizing analytics projects and communicating with stakeholders.

Lead the product strategy for Loop's Competitive Intelligence module, integrating external intelligence into strategic portfolio decisions, and collaborating with cross-functional teams to enhance competitive positioning.

Own the strategy, governance, architecture, modeling, and reporting foundation for People Experience data. Build governed metrics, semantic and consolidated data layers, dashboards, data catalogs, quality monitoring, and operating processes from the ground up. Manage intake, prioritization, access, privacy, enablement, and self-service adoption while partnering with stakeholders on analytics and future AI capabilities. The role combines strategic program leadership with hands-on SQL, data modeling, reporting, and team mentoring.

The Manager of Advanced Analytics will lead the design and implementation of data solutions, mentor team members, and collaborate with stakeholders to drive analytics strategy and improvements in patient outcomes.

Serve as the ISSO/ISSM for a DoD application: integrate cybersecurity across the lifecycle, implement and monitor RMF controls, identify and remediate vulnerabilities using Fortify, and develop POA&Ms to achieve and maintain authorization.

The role involves designing and implementing integration solutions using iPaaS technologies, managing development processes, and mentoring team members while ensuring client satisfaction.

Lead product strategy and roadmap for AI-powered laboratory analytics. Define use cases, engage customers, drive discovery and pilots, partner with engineering and data science, measure adoption and business impact, and support go-to-market and cross-functional alignment.

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 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 insights for the CFO and exec team: produce executive-ready analyses, design scalable analytics infrastructure, leverage AI to accelerate workflows, partner cross-functionally to drive strategy and execution, and manage multiple high-impact initiatives.

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 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.

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.

Lead a team to build and scale driver-based revenue, spend, and net revenue forecasting models. Improve forecast accuracy by identifying data, systems, and process gaps, partnering cross-functionally to operationalize models in modern data and planning platforms, establish governance, and evolve forecasting from spreadsheets to scalable, repeatable workflows used for executive decision-making.

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.

Lead a team of performance engineers to optimize complex workloads on NVIDIA's CPUs and GPUs, driving technical excellence and innovation while mentoring team members and collaborating with cross-functional partners.

Lead strategic FP&A engagements for private equity-backed portfolio companies. Build forecasting models, prepare financial and operational reporting, analyze profitability, improve processes, deploy data analytics, manage stakeholders, and oversee project deliverables and teams to support decision-making.

The Analytics & Google Tag Manager Specialist is responsible for migrating clients from Google Analytics 3 to Google Analytics 4, setting up GA4 and GTM, and linking accounts to Google Ads.