Top Remote Data & Analytics Jobs

Leads market and competitive intelligence across global markets, synthesizing consumer, channel, pricing, and competitor data into actionable recommendations. Builds presentations, dashboards, and visualizations for business leaders; partners with category, brand, commercial, and regional teams; manages research and analytics suppliers; oversees multiple workstreams; and strengthens market intelligence processes and capabilities.

Supports business projects and process improvements by analyzing workflows, developing KPI reports, documenting procedures, piloting new processes, resolving enhancement requests, and bridging technical and non-technical teams. Requires SQL Server and report-writing experience, with preferred expertise in Microsoft Office, VBA, and Access. This is a fully remote desk-based role.

Lead fraud analytics for application fraud detection: identify emerging patterns, design and test real-time defenses, balance risk and customer experience, build dashboards and metrics, and collaborate with Operations, Product, Data Science, and Engineering to reduce fraud losses and improve cardholder experience.

Supports analytics and measurement for integrated marketing and paid media programs. Collects and analyzes campaign data, tracks KPIs, builds dashboards and reports, identifies trends, and translates findings into actionable recommendations. Partners with media and strategy teams on optimization, audience analysis, and testing. Contributes to client presentations, proposals, reporting automation, analytics research, and internal best-practice sharing while evaluating emerging AI and measurement tools.

Researches market, dealer, customer, competitor, and industry information to identify trends, risks, and opportunities. Develops competitive intelligence, market assessments, SWOT analyses, reports, dashboards, presentations, and actionable recommendations. Maintains intelligence repositories and partners with Sales, Marketing, Product, Analytics, and Strategy stakeholders. This remote role supports regional sales teams, requires core hours aligned to the assigned region, and may involve travel up to 25%.

Analyzes, cleanses, validates, and prepares operational datasets for mailing, email, reporting, billing, and processing activities. Develops Databricks queries and Alteryx workflows to automate processes and improve data quality. Performs audits, reconciliations, root-cause analysis, and corrective actions while maintaining governance and security compliance. Provides actionable insights, mentors junior analysts, communicates findings, and leads continuous improvement initiatives.

Own Kepler’s transaction data feed end-to-end, ensuring accuracy, improving methodologies, developing QA frameworks, solving complex analytical problems, and prototyping enhancements. Analyze massive datasets, automate workflows with AI, evaluate client-facing AI outputs, address high-complexity customer questions, and collaborate with Research, Product, Data Science, and Engineering teams.

Leads analytics for SEO, AI search, website experience, CRO, and the organic enrollment funnel. Diagnoses performance across traffic, visibility, conversions, leads, applications, and enrollments; designs measurement approaches; reconciles web, search, CRM, and platform data; defines KPI and reporting requirements; and translates findings into executive recommendations. Partners with analytics and engineering teams to build scalable Databricks-based reporting and improve measurement of organic and AEO initiatives.

Analyze platform, product, customer, advertising, and operational data to generate actionable insights. Build dashboards, reporting frameworks, automated workflows, and scalable analytics pipelines. Evaluate experiments and analytical methodologies, improve forecasting and data accuracy, and partner with product, engineering, marketing, revenue, and leadership teams to influence strategy, customer experience, and platform growth.

Analyzes consumer, shopper, and market data to identify trends, risks, and growth opportunities. Translates complex findings into presentations, visualizations, recommendations, and client-ready insights. Supports client meetings, cross-functional solution development, relationship building, and engagement expansion while developing expertise in Circana’s data assets and platforms.