Top Remote Analytics Manager Jobs

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.

Lead compensation analytics and AI strategy to transform compensation data into insights, tooling, and forecasts. Own market benchmarking, total comp budget forecasting, competitive intelligence, and partner with Finance and senior leaders on compensation design and equity modeling while ensuring data governance and privacy.

Manage the design, development, and maintenance of integration solutions using Dell Boomi and Workato, ensuring efficient integration for clients across various platforms.

Lead revenue forecasting, planning, and executive reporting across new, renewal, and expansion revenue. Manage and grow a revenue insights team while owning pre-sales analytics, forecast methodology, capacity and quota planning, and performance narratives. Build pipeline and forecast reporting, track conversion/velocity metrics, surface risks early, and apply AI to improve forecasting, anomaly detection, and automated insights.

Lead data-driven contact strategy for delinquent customer outreach. Design and run Champion/Challenger tests across email, phone, and digital channels, build segmented outreach schedules, measure channel mix performance, and deliver a roadmap and executive-facing insights to optimize recovery, customer experience, and operational cost tradeoffs.

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 small performance marketing team to connect paid-media activity to leads, orders and revenue. Build attribution, forecasting and cohort reporting, optimize paid search and performance channels, implement AI/automation, improve data infrastructure and dashboards, and influence cross-functional growth strategy to drive measurable marketing ROI.

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.

Serve as primary liaison for Information Solutions, managing analytics-related programs across a multi-site health system. Lead workflow design, informatics, training, change management, governance, risk management, KPI definition, stakeholder engagement, and submission readiness to ensure project success.

Lead organizational adoption and scaling of AI across the company by building capability, defining standards and guardrails, and designing AI-enabled workflows (copilots, agents, human-in-the-loop). Partner cross-functionally to prioritize use cases, operationalize solutions, integrate with data platforms, measure adoption and impact, and transition experiments into durable business processes.

Lead development and governance of complex, multi-market real estate financial models and analytics. Provide actionable insights for occupier and leasing decisions, perform cash vs. GAAP analyses, NPV/IRR and occupancy cost evaluations, collaborate with brokers and account teams, mentor financial staff, and support technology implementations to advance analytical capabilities and reporting.

Lead strategic client relationships and manage omni-channel marketing campaigns (digital and direct mail). Translate client goals into data-driven strategies, oversee campaign execution, collaborate with analytics/media/creative/operations, prepare performance reports and QBRs, manage SOWs/contracts and client financials, identify growth opportunities, and ensure timely delivery against KPIs.

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.

Lead enterprise data and analytics governance for a federal technology services program, ensuring secure and effective data usage and decision-making support.

Lead development and application of analytics, statistical models, and dashboards to support R&D Quality oversight. Integrate clinical, safety, lab, and operational data to identify risks, support audit/inspection readiness, enable RBQM, and provide actionable quality insights and recommendations to cross-functional partners.

Lead combined Analytics Engineering and Data Engineering teams owning the end-to-end data roadmap from ingestion to trusted metrics. Manage hiring and performance, set architecture and platform investments, enforce testing/monitoring/documentation standards, review technical decisions, and partner with product and business stakeholders to translate needs into prioritized deliverables.

Lead sales forecasting cadence, territory optimization, and quota alignment. Produce actionable BI insights, maintain forecasting policy and single source of truth, and partner with Sales, Finance, and Analytics. Drive process automation and apply AI tools to improve forecast accuracy and operational efficiency while supporting sales execution and mid‑year adjustments.

Lead end-to-end delivery of credit card pricing and profitability analytics, partner with senior business stakeholders, manage client engagement, oversee model development/validation/implementation, mentor offshore analytics teams, and collaborate cross-functionally to deliver scalable solutions and governance.

Lead data product strategy and execution for analytics deliverables (dashboards, pipelines, reports). Prioritize with stakeholders, translate needs into requirements, work hands-on with SQL and Python, monitor pipelines, and measure clinical, operational, and financial impact.

Lead FP&A and analytics for operations, HR, and accounting: build financial models, forecast and report, design dashboards, own KPI monitoring, translate data into actionable recommendations, and write/optimize SQL queries against BigQuery.