Top Remote Analytics Manager Jobs

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.

Own marketing measurement from initial engagement through closed-won revenue. Manage cross-channel reporting tied to Salesforce pipeline, tracking across GA4, advertising platforms, SEO, and AI search. Validate multi-touch attribution, analyze marketing experiments, model budget impact, and recommend investment priorities. Present performance insights to marketing and sales leadership across global regions.

Leads AI innovation and adoption across a healthcare advisory practice. Develops and deploys predictive models, generative AI, machine learning, and analytics solutions for value-based care and payment challenges. Oversees data readiness, governance, responsible AI reviews, model monitoring, stakeholder adoption, and client delivery. Translates complex analytics into executive-ready insights, dashboards, and presentations while building reusable assets, training teams, and driving enterprise AI strategy.

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.

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.

Leads the design and delivery of enterprise-scale data, analytics, AI, Microsoft Fabric, Power BI, and data-driven application platforms. Owns analytics architecture, semantic modeling, data engineering, AI integration, governance, security, engineering standards, and technical roadmaps. Drives measurable business impact through KPIs and insights while leading architecture reviews, developing reusable patterns, and building analytics engineering, BI, data science, and technical leadership teams.

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.

Leads global sourcing, procurement, supplier management, and supply chain strategies for complex construction and infrastructure programs. Negotiates contracts, manages RFI/RFP processes, secures supplier capacity, monitors performance, analyzes program data, improves processes, manages cross-functional projects, and mitigates operational risks. Partners with regional and global stakeholders, construction providers, and suppliers to optimize costs, capacity, execution, and speed to market.

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.

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.

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

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.

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.

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.

Develop customer, market, and competitor insights to support growth strategy for legal news products. The role creates recommendations, competitive assessments, go-to-market plans, business cases, senior presentations, and strategic project plans. It partners with Product, Editorial, Marketing, and Sales to identify opportunities, improve positioning, support launches and investments, and monitor initiative results.

Leads complex, cross-functional Data and Analytics strategic programs spanning product, engineering, marketing, sales, and customer success. Coordinates executive governance, establishes metrics and insights, drives go-to-market readiness, resolves critical-path issues, governs NPI processes, and manages Product Advisory Council activities. Uses AI to improve program efficiency, decision-making, communication, and risk management.

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.

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.

Own marketing analytics reporting and business reviews supporting go-to-market investment decisions. Translate business questions into actionable analyses, partner with marketing, sales, finance, product, customer success, and analytics engineering teams, and improve dashboards and reporting tools. Analyze campaign performance and business trends, contribute to data modeling, and independently manage analytics workstreams using SQL, Python, BigQuery, dbt, and Looker.

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.