Top Remote Analytics Manager Jobs

Manages the design, development, validation, and delivery of standard and ad hoc reports, dashboards, and data visualizations. Integrates complex data sources, gathers requirements, identifies actionable insights, and supports leadership decision-making. Drives reporting initiatives, improves analytics processes, conducts complex research, and collaborates cross-functionally. Provides subject-matter expertise, guidance to junior employees, and team leadership while ensuring accurate, timely reporting aligned with business needs.

Leads an analytics team supporting commercial aviation aftermarket strategy. Oversees enterprise dashboards, forecasts, analytical models, data governance, KPI development, market intelligence, business cases, and strategic opportunity analysis. Manages request prioritization, quality assurance, delivery timelines, team capacity, hiring, coaching, and performance. Partners with business development and program teams to translate aerospace data and market trends into regional growth strategies and executive recommendations.

Develop data models, analyses, dashboards, and automated reporting for a collectibles marketplace. Partner with engineering, product, and data platform teams to define business metrics, identify customer experience and growth opportunities, inform strategy, and lead initiatives that improve business performance.

Owns marketing measurement, KPIs, attribution, dashboards, and reporting standards. Evaluates campaign performance, recommends budget and channel changes, leads personalization analytics and experimentation, ensures marketing data quality, and presents actionable insights to senior leadership. Partners with marketing, media, ecommerce, finance, web development, SEO, and data engineering teams.

Manage People Operations infrastructure, including compensation cycles, HRIS administration, workforce analytics, compliance reporting, benefits enrollment, automation, and employee self-service. Develop dashboards and executive insights, maintain salary structures and data controls, coordinate audits and vendors, and lead scalable People Operations projects. The role requires strong HR expertise, technical systems administration, advanced Excel and analytics skills, project management, and responsible use of AI and employee data.

Transforms global procurement data into strategic insights by consolidating ERP and P2P data, automating BI dashboards, identifying sourcing and savings opportunities, and validating EBITDA savings with Finance. Partners with Category Managers, Corporate Finance, and FP&A while presenting executive-level findings. The role requires advanced analytics, SQL, BI, enterprise procurement systems, and strong English communication skills.

The Fraud Analytics Manager translates fraud policies and procedures into testable decision logic, analyzes transactional and fraud data, validates business rules, and identifies process or data gaps. The role coordinates Fraud Operations, Business, Technology, Analytics, client stakeholders, and India-based delivery teams. Responsibilities include testing, reconciliation, evaluation framework design, sensitive-data controls, client presentations, documentation, and tracking risks and decisions. SQL, Python, and advanced Excel are used for analysis and validation, with preferred exposure to AI and LLM evaluation.

Manage healthcare client relationships while analyzing revenue cycle, financial, payer, and operational data. Develop projections, benchmarks, reports, dashboards, and actionable recommendations using Power BI and Excel. Present insights to healthcare practices, identify improvement opportunities, support payer contract analysis, validate data, and collaborate with internal teams to resolve issues and improve client outcomes. Occasional travel is required for client meetings and office visits.

Lead complex, cross-functional Data and Analytics programs spanning Product, Engineering, Marketing, Sales, and Customer Success. Coordinate executive governance, establish business metrics, deliver leadership insights, and drive product reviews and strategy cadences. Own go-to-market readiness, resolve critical-path issues, govern NPI processes, and manage Product Advisory Council activities. Apply AI to improve program efficiency, decision-making, communication, and risk management.

The Compliance Data & Analytics Manager develops AI and automation prototypes, integrates disparate data sources, builds Python and SQL analytics workflows, and creates web applications and automated alerts for compliance risk intelligence. The role partners with Legal, Finance, Regulatory Affairs, data science, and business intelligence teams to improve risk models and translate regulatory requirements into actionable analytical solutions.

Leads Treasury business intelligence, analytics, data governance, reporting, and system integration initiatives. Oversees dashboards, data transmissions, workflow optimization, automation, and data quality across Treasury systems, ERP platforms, and external providers. Defines technical requirements, maps data flows, supports business cases, and delivers strategic insights to Treasury leadership. Manages cross-functional projects and stakeholder relationships while maintaining policies, procedures, and data management standards.

Leads second-line emerging credit risk analytics across consumer lending, deposits, real estate, and debt solutions portfolios. Monitors economic, regulatory, industry, and market trends; develops quantitative analyses, scenario models, reporting, and risk frameworks; challenges risk proposals; communicates insights to senior leaders and committees; and recommends proactive mitigation strategies. Provides coaching and ensures risks are identified, measured, monitored, and controlled under applicable policies and regulations.

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.

Leads an analytics engineering team developing governed, scalable data models, semantic layers, and BI frameworks. Owns dbt, Snowflake, and Looker practices; establishes modeling, testing, documentation, metric, and governance standards; and enables trusted self-service analytics. Partners with data and business teams to translate requirements into technical solutions, deliver strategic data assets, track OKRs, and communicate insights to executives. Provides mentorship, resource allocation, project oversight, and hands-on technical leadership.

Own outbound product strategy for Workflow Data Fabric and RaptorDB Professional. Develop positioning, messaging, use cases, competitive differentiation, launch strategies, sales enablement, demos, and customer-facing content. Engage enterprise customers, executives, analysts, sellers, and partners through briefings, events, webinars, and strategic deals. Translate complex data, analytics, integration, platform, and AI capabilities into customer value while using market feedback to influence roadmaps, adoption, and go-to-market execution.

Own outbound product strategy for ServiceNow’s Workflow Data Fabric and RaptorDB Professional. Develop positioning, messaging, use cases, competitive differentiation, launch strategies, sales enablement, demos, and customer-facing narratives. Engage enterprise customers, executives, analysts, and sellers while translating complex data, analytics, integration, platform, and AI capabilities into business value. Use customer feedback, competitive intelligence, and adoption metrics to influence roadmap priorities, go-to-market execution, field readiness, and growth.

As a Revenue Analytics Manager, you will own reporting for Sales, Marketing, and Customer Success, build dashboards, automate workflows, and ensure data quality.

Leads a client-facing healthcare analytics team that designs and maintains prior authorization decision automation programs. Consults PaaS clients, develops strategic roadmaps, translates requirements into technical blueprints, analyzes authorization and claims data, and builds KPI reports using visualization tools. Manages direct reports, improves analytics processes and AI tooling, partners with product and engineering teams, and ensures automation outcomes and client KPIs are achieved.

Own sales playbooks and incentive programs that drive measurable pipeline growth. Build Salesforce reports, SQL datasets, Tableau dashboards, forecasts, and segmentation models. Partner with Sales, Business Development, Marketing, RevOps, and IT to automate analysis, improve data hygiene, measure program impact, and communicate insights. This senior individual-contributor role manages programs end to end and uses AI to replace manual workflows with scalable systems.

Own the agentic analytics platform for Capital One Shopping’s AI Enablement team. Partner with engineers to build trusted AI products, govern enterprise data and metrics, define agent boundaries, validate system performance, prioritize stakeholder needs, and improve deployment efficiency. The role requires strong product leadership, data platform expertise, SQL proficiency, familiarity with modern data tools and AI agents, executive communication, and experience operating internal platforms or production deployments.

Leads marketing and loyalty analytics strategy, measurement frameworks, forecasting, experimentation, campaign reporting, retention analysis, churn modeling, segmentation, and LTV analysis. Partners with Marketing and Finance to connect performance metrics to business goals, automate reporting, and deliver actionable recommendations. Requires strong SQL and Python skills, causal measurement expertise, marketing platform experience, and the ability to communicate insights to senior stakeholders.

Manages HR data, analytics, reporting, dashboards, pipelines, integrations, and automation. Supports compensation, performance management, workforce planning, HRIS maintenance, and employee listening initiatives. Builds data models and AI integrations, audits data integrity, develops actionable insights, and presents findings to HR and executive leadership. Requires strong compensation expertise, advanced Excel, HRIS and BI experience, scripting, data modeling, and handling confidential information.

Owns marketing performance measurement through attribution models, dashboards, funnel and pipeline analysis, ROI reporting, forecasting, and planning models. Partners with Marketing, Sales, RevOps, Finance, and SDR teams to improve data quality, evaluate campaigns, guide budget decisions, and present executive-ready insights. Mentors marketing operations analysts without direct reports.

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.

Owns B2B and B2C funnel, enrollment, revenue, and marketing performance reporting. Builds executive and Board dashboards, analyzes CAC, LTV, retention, conversion, spend efficiency, and ROI, and reconciles marketing activity with financial results. Maintains KPI definitions and reporting governance while partnering with Marketing, Finance, FP&A, Sales Operations, and Data teams. Supports strategic planning, diligence requests, and actionable business recommendations through accurate, cross-functional analytics.