Top Remote Analytics Jobs

Leads analytics for B2B sales, partnerships, revenue operations, and marketing teams. Responsibilities include forecasting, opportunity sizing, partner performance analysis, enterprise market intelligence, RFP analytics, lead scoring, funnel and lifecycle optimization, predictive modeling, experimentation, and executive insight generation. The role partners with Data Science and Engineering teams to improve revenue growth, onboarding, retention, campaign effectiveness, and sales performance across enterprise and SMB channels.

Analyze and optimize marketing campaign ROI across channels, evaluate app and partner data, conduct funnel, cohort, attribution, and retention analyses, and develop actionable recommendations. The role requires Marketing Mix Modeling, Multi-Touch Attribution, forecasting, segmentation, and statistical analysis. The consultant will collaborate with product, analytics, engineering, and marketing stakeholders to define measurement strategies, build reporting mechanisms, and translate complex data into business insights that improve adoption, retention, revenue, and campaign effectiveness.

Executes pricing analytics for the GAP brand, building models to evaluate pricing impacts on sales, margin, and inventory. Analyzes discount spend, competitive price positioning, forecasts, and in-season performance while developing what-if scenarios and recommendations. Partners with Merchandising, Planning, and Finance, validates pricing-agent outputs, automates repeatable processes, and documents analytical standards.

Develop customer analytics that improve retention, growth, adoption, and operational performance. Build and maintain BI dashboards, customer health metrics, churn-risk reporting, and predictive models. Partner with Client Success, Product, Sales, and Operations to translate complex findings into actionable recommendations. The role also owns data quality, governance, reporting automation, workflow improvements, and stakeholder communication.

Owns brand pricing principles, pricing architecture, discount budgets, competitive price positioning, and in-season analytics. Builds financial models, what-if scenarios, reporting, benchmarks, and actionable recommendations for merchandising and finance partners. The role validates AI-generated pricing outputs, automates recurring workflows, manages cross-functional relationships, and supports analyst development.

Own the analytical function for a business unit spanning growth, product, AI and automation, or strategic partnerships. Define business problems, metrics, reports, analyses, and experiments; surface insights; and drive data-informed decisions and outcomes. The role requires independent data work, strong problem-solving, stakeholder influence, and end-to-end ownership of ambiguous initiatives.

Own end-to-end analytics for a business unit spanning growth, product, AI and automation, or strategic partnerships. Define business problems, metrics, reports, analyses, and experiments; surface actionable insights; and influence stakeholders’ decisions. The role requires independent data work, strong analytical judgment, clear communication, and ownership of ambiguous, high-impact initiatives.

Lead GTM analytics across performance measurement, channel economics, data governance, forecasting, planning, and executive reporting. Own metric definitions, data standards, analytical priorities, and business requirements while partnering with Marketing, Data Science, Finance, RevOps, and Engineering. Analyze funnel, attribution, CAC, payback, conversion, retention, pipeline, and territory performance, translating findings into investment recommendations and strategic decisions for senior leadership.

Supports provider business development through bundled-payment pricing analytics, financial modeling, and strategic analysis. Builds and refines analytical tools and datasets, develops models for new healthcare bundles, supports provider negotiations, and partners with data science and engineering teams on optimization and data infrastructure. Requires healthcare knowledge, quantitative skills, cross-functional collaboration, and the ability to manage multiple priorities in a fast-paced remote startup environment.

Establish and lead the People Analytics function, building trusted workforce data foundations, governance, privacy standards, analytical products, workforce planning capabilities, and AI-enabled decision support. Partner across HR, Finance, IT, and business leadership to deliver executive insights, improve workforce decisions, and scale analytics operations. Recruit and develop the analytics team while ensuring responsible data use, global-local compliance, stakeholder adoption, and alignment with organizational priorities.

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.

Complete a 10-week analytics project by gathering business requirements, querying and cleaning enterprise data, analyzing trends, building dashboards and reports, documenting metrics and assumptions, and presenting insights. The intern will collaborate with analysts, engineers, stakeholders, and peers while communicating recommendations through concise narratives and presentations.

Own end-to-end location and market analytics projects, including site rankings, market comparisons, cost models, commute studies, labor assessments, and portfolio analyses. Scope work with advisors, build and quality-assure models, create Tableau and PowerPoint recommendations, support business pursuits, and present findings to executives. Develop reusable Alteryx and Tableau workflows, apply AI tools, steward data quality, evaluate data sources, and mentor analysts and interns in a remote environment.

Analyze healthcare, financial, and utilization data to identify inefficiencies, support data-driven decisions, maintain dashboards, build analytical models, communicate insights, and monitor improvement initiatives across the organization.

Own client relationships and analytics strategy across digital measurement and GEO initiatives. Architect, audit, and QA GA4 and Adobe Analytics implementations; develop measurement frameworks, dashboards, experimentation plans, and causal analyses. Present insights to executive stakeholders, manage analytics workstreams, mentor teammates, and build AI-assisted workflows, automations, and scalable systems. The role combines traditional analytics with measurement of AI-powered search visibility and customer behavior.

Conducts advanced research and statistical analysis of Medicaid and CHIP data to identify trends, build predictive models, improve operations, and inform health policy. Develops analytic products, dashboards, reports, visualizations, and technical deliverables while integrating qualitative research and UX practices. Collaborates with analysts, data scientists, clients, and technical teams in an agile environment, independently leading research projects and translating complex findings for diverse stakeholders.

Leads Autodesk’s global marketing data strategy and analytics organization, establishing measurement, attribution, experimentation, marketing mix modeling, predictive analytics, and AI-enabled decisioning capabilities. Defines marketing data foundations, governance, taxonomies, and identity frameworks while partnering with Marketing, Sales, Data Science, Engineering, and AI/ML teams. Translates complex analysis into executive recommendations that improve marketing effectiveness, investment allocation, customer outcomes, and commercial performance. Manages and develops a global team of data strategists and analysts.

Lead end-to-end analytics for Netflix Ads demand, including media planning and campaign management tools, machine learning models, and agentic solutions. Partner with scientists, product managers, engineers, and data engineering to develop metrics, reliable analytics data, insights, and recommendations. Independently identify risks and opportunities, shape product roadmaps, and communicate findings to technical and non-technical stakeholders.

Leads marketing measurement, forecasting, attribution, media mix modeling, and LTV/CAC analysis across D2C channels. Builds analytical infrastructure, evaluates channel performance, supports budget allocation, and conducts cohort and retention analysis. Partners with executives, marketing, finance, product, and data engineering to translate complex findings into actionable recommendations. The role also establishes reporting for new channels, supports scenario planning, and communicates insights that guide growth and investment decisions.

Own marketing channel performance tracking, reporting, experimentation, dashboards, forecasting, and LTV analysis. Develop measurement frameworks, identify data issues, and translate complex findings into actionable recommendations for Marketing, Growth, Product, and Finance stakeholders. The role requires strong SQL, BI dashboarding, marketing measurement, experimentation knowledge, and effective analytical communication, with AI tools used to accelerate reporting and analysis.

Leads enterprise analytics initiatives from problem framing through delivery, partnering with senior stakeholders to create actionable insights. Designs semantic models, metric layers, reporting frameworks, and enterprise dashboards integrating CRM, ERP, marketing, and other data sources. Establishes analytics standards, validation practices, documentation, and governance while mentoring analysts and enabling self-service users. The role requires advanced cloud data warehouse, Python, data modeling, software engineering, and stakeholder communication skills.

Analyzes operational and program data, develops dashboards and reports, and translates findings into actionable insights. Configures and maintains Smartsheet forms, workflows, automations, reports, and dashboards while supporting data quality, governance, documentation, and system improvements. Collaborates with cross-functional teams, provides user training, troubleshoots reporting solutions, and communicates technical concepts and analytical results to nontechnical stakeholders.

Own an analytics project for go-to-market teams by combining CRM, campaign, and account data with SQL and Python. Build reusable data models, define acquisition and pipeline metrics, investigate data quality issues, add validation checks, and create dashboards and analyses. Communicate findings, recommendations, assumptions, and limitations to stakeholders while documenting reproducible workflows.

Build Polymarket’s CX data and analytics function, defining service and customer experience metrics, creating dbt models and reporting, and delivering actionable insights to leadership. Lead Analytics Engineers, partner with central data engineering on pipelines and infrastructure, and develop measurement frameworks for AI automation. Apply forecasting and modeling to staffing, contact drivers, and AI deflection while communicating recommendations to executive audiences.

Supports finance analytics by extracting and preparing data with SQL, maintaining reporting and reconciliation scripts, checking data quality, and explaining findings. Builds dashboards and data marts, researches unit economics and plan-versus-actual performance, and collaborates with finance, commercial, marketing, and product stakeholders. The role requires BI tools, Excel, business metrics knowledge, and strong analytical communication.