Top Remote Analytics Manager Jobs

Leads end-to-end marketing analytics for small business acquisition campaigns, including opportunity sizing, targeting, experimentation, performance reporting, profitability, and ROI measurement. Partners with Marketing, Finance, Modeling, and Data teams to guide investment decisions and improve measurement rigor. Owns stakeholder delivery, data requirements, analytic frameworks, controls, and auditability while coaching junior analysts and translating complex findings into clear recommendations for senior audiences.

Lead design and execution of fraud and identity verification strategies for personal lending. Analyze complex datasets, build dashboards and visualizations, recommend risk mitigation, collaborate with Product and Tech on integrations, ensure regulatory compliance, and present findings to senior leadership to drive production implementation.

Manages programmatic analytics and insights for client accounts, leading measurement frameworks, brand lift studies, incrementality testing, and A/B experiments. Develops media and campaign strategies, communicates performance insights to clients, and supports pitches and QBRs. Oversees, mentors, and develops analysts while partnering with Product, Engineering, Sales, and Customer Success teams to improve measurement tools, campaign optimization, and analytical capabilities.

Lead outbound product strategy for ServiceNow’s Workflow Data Fabric and RaptorDB products. Translate complex data platform capabilities into customer value, positioning, messaging, enablement, launch strategies, and go-to-market programs. Partner with product, engineering, sales, marketing, and customer-facing teams; engage executives, customers, analysts, and sellers; and influence roadmap priorities through market insights, competitive intelligence, and adoption metrics.

Manages financial analytics and product delivery for pharmacy benefit clients, including RFPs, procurement projects, renewals, market checks, PBM contract reviews, financial modeling, reporting, and presentations. Analyzes pharmacy spend, utilization, trends, and cost drivers using proprietary tools and Excel. Leads peer reviews, manages project timelines, improves processes, and mentors and trains financial analysts and new employees.

Leads Toast’s analytics engineering function, owning enterprise data architecture, modeling strategy, analytics-layer development, and AI-ready semantic-layer vision. Builds and manages a team of analytics engineers, establishes roadmaps, partners with data engineering and business leaders, and drives scalable, governed data solutions across domains. Requires expertise in data modeling, dbt, SQL, stakeholder alignment, and people leadership.

Own weekly and monthly sales performance reporting across SPINS, Circana, retailer portals, distributor feeds, and shelf data. Diagnose velocity, distribution, pricing, promotions, and competitive share; identify risks and opportunities; build buyer-facing category and sell-in decks; evaluate promotions and trade ROI; support Costco planning; and develop dashboards and scorecards that turn sales data into actionable insights.

Manage and grow Ashby’s data analytics team while remaining hands-on with analytical work. The role includes hiring and coaching analysts, improving data practices, prioritizing requests, developing specialization, maintaining analytical quality, and guiding responsible AI adoption. The manager will work across raw and modeled data, dbt models, metric definitions, dashboards, and internal data products, partnering closely with business teams in a remote, high-growth B2B SaaS environment.

Leads revenue planning and analytics, including forecasting, ASP and reimbursement analysis, pricing governance, contract economics, and commercial performance reporting. Manages revenue risks, develops executive insights, establishes financial models and controls, and partners cross-functionally with FP&A, accounting, market access, RCM, commercial, and operations teams. Directly manages and develops a senior analyst while ensuring forecast accuracy, data quality, and disciplined commercial decision-making.

Lead Client Legal Services analytics strategy and team development. Own Power BI reporting products, Microsoft Fabric data solutions, governance, predictive modeling, responsible AI adoption, ROI measurement, and executive insights. Partner cross-functionally to improve legal operations, litigation outcomes, staffing, capacity, cost management, quality, and workflow optimization while building scalable analytics capabilities and institutional knowledge.

Lead enterprise-wide transformation programs spanning people, processes, data, and technology. Responsibilities include developing roadmaps, managing cross-functional workstreams and dependencies, establishing governance, tracking risks and outcomes, driving executive decisions, overseeing process and platform transformation, coordinating vendors, and ensuring measurable value realization. The role partners with senior stakeholders and technology teams while supporting change adoption and executive communications.

Analyze product, user, transactional, and repayment data to develop risk and underwriting models, reduce losses and fraud, monitor model performance, and guide product and growth strategy. Build Looker dashboards and LookML models, conduct segmentation and experimentation, measure CAC and LTV, and communicate actionable insights to product, engineering, marketing, finance, and leadership.

Build product-level P&L reporting, cost allocation methodologies, financial models, dashboards, and ROI analyses. Partner with Finance, Accounting, Product, and Data teams on budgeting, forecasting, variance analysis, product usage metrics, and investment decisions. Establish standardized reporting rhythms and translate ambiguous business questions into actionable recommendations for senior stakeholders.

Leads a team supporting actuarial filings, rate changes, product initiatives, and regulatory negotiations for personal auto insurance. Provides pricing and product development analysis, state-level actuarial recommendations, data-driven insights, and subject matter expertise. Oversees five actuaries and analysts, improves processes, conducts ad hoc data deep dives, and communicates technical actuarial concepts to regulators and internal stakeholders.

Own GTM performance analytics, KPI and target setting, reporting, forecasting, compensation planning, and performance reviews across Sales and Post-Sales. Identify anomalies and optimization opportunities involving conversion, churn, productivity, pricing, packaging, segmentation, channel economics, and customer quality. Partner with Finance and GTM leaders to develop recommendations, lead strategic initiatives, and ensure data integrity while translating analysis into actionable business decisions.

Lead a small analytics team (staff data scientist + two analysts) to deliver curriculum, product, and program insights. Split time between people management (60-70%) and hands-on analysis (30-40%), advance experimentation and measurement, build AI/LLM-driven agentic workflows, manage sprints and cross-functional stakeholder relationships, and drive analytics that inform curriculum, product, and intervention strategies.

Leads revenue operations analytics supporting pursuit forecasting, proposal and pricing capacity management, pricing-to-win analysis, pipeline intelligence, executive reporting, capture readiness, and strategic business-system initiatives. The role partners across growth, capture, proposals, pricing, finance, contracts, and delivery to improve resource planning, decision quality, and execution risk visibility throughout the government contracting business-development lifecycle.

Owns the program reporting and analytics function, including dashboard architecture, reporting migration, data governance, data integrity, trend analysis, forecasting, and executive decision support. Leads reporting analysts and document control staff, maintains deliverable reporting accuracy, establishes metrics and quality standards, and ensures audit-ready traceability. Requires advanced Power BI, Excel, and reporting leadership experience in a program environment.

Own strategy and execution for Workforce Engagement Management capabilities in CRM omnichannel contact centers. Lead AI-driven forecasting, scheduling, real-time channel monitoring, intraday optimization, coaching, skills management, and team performance experiences. Partner with UX, engineering, and data/AI teams to deliver scalable enterprise products, while applying explainable and human-controlled AI. Engage enterprise customers to validate requirements, drive adoption, and achieve measurable operational outcomes.

Lead identification and quantification of issuance leakage across acquisition, application, approval, and funding funnels. Analyze digital customer journeys and conversion gaps, run root-cause diagnostics, design experiments, build executive dashboards, and translate findings into prioritized, quantified business recommendations partnering with Product, Marketing, Credit Risk, Operations, and Engineering.

Leads a team supporting personal auto actuarial filings, rate changes, product initiatives, and regulatory negotiations. Provides pricing and product-development analysis, advises business leaders, tracks state filing requirements, develops enterprise subject-matter expertise, and drives process improvements. The role also performs ad hoc data analysis, communicates technical concepts to internal and external stakeholders, and supervises five actuaries and analysts.

Leads performance analytics for Pfizer’s breast cancer portfolio, tracking sales, prescriptions, market share, patient segments, geographic trends, and commercial targets. Uses secondary data sources and dashboards to identify risks and opportunities, inform brand strategy and forecasting, and communicate actionable insights to senior stakeholders. The role also guides vendors, improves reporting infrastructure, and applies AI and modern analytical tools to automate and enhance commercial analytics.

Leads analytics for Pricing and Supply, managing a team of approximately eight analysts. Partners with cross-functional leaders to prioritize analytical work, build dashboards and decision frameworks, improve metric quality, and generate insights into pricing, supplier coverage, marketplace performance, conversion, margin, and customer behavior. Coaches analysts, establishes scalable analytics processes, and collaborates with data engineering teams to improve data models, tooling, and self-service capabilities.

Own go-to-market planning and sales analytics, including ARR and pipeline targets, quota setting, territory design, capacity modeling, dashboards, KPI reporting, and forecasting. Partner with GTM and Finance leaders to convert complex data into strategic recommendations, improve data quality and automation, and build scalable AI-enabled tools. Mentor analysts and establish analytical rigor across the team.

Lead independent validation and governance of credit and fraud models, build automated Python monitoring for model drift and performance, drive remediation with model developers, and liaise with audit and regulators to support Affirm Bank's model risk management.