Top Remote Data & Analytics Jobs

Analyze performance marketing and subscription-funnel data, including acquisition efficiency, conversion, retention, churn, and customer lifetime value. Build automated Domo dashboards and governed reporting pipelines from multiple data sources. Investigate data anomalies, analyze A/B tests, define KPIs, and communicate insights to executives. Partner with marketing, product, engineering, finance, agencies, and BI contractors while independently executing analytics projects and improving reporting workflows.

Leads consumer and market insights for Yahoo Ads, partnering with sales and go-to-market teams to develop data-driven narratives, audience profiles, vertical trends, case studies, and client materials. Uses Yahoo first-party data, syndicated research, quantitative and qualitative methods, and generative AI tools to accelerate research. Builds validated analytical templates and self-service resources, collaborates on reporting pipelines and dashboards, and translates complex findings into executive-ready presentations.

Leads and builds Instructure’s decision science function, including hiring, team development, roadmap ownership, experimentation, causal and predictive modeling, executive insights, and data literacy. Partners with product, engineering, marketing, finance, and executives to guide product, pricing, retention, go-to-market, and operational decisions. Establishes analytical standards, supports data infrastructure, and ensures ethical, privacy-conscious use of student data.

Analyzes complex data to identify trends, challenges, and opportunities supporting tactical and strategic business decisions. Develops data collection systems, performs statistical analysis, creates reports and dashboards, and delivers end-to-end analytic solutions. Collaborates with business and technical teams to understand objectives, improve data quality, and provide actionable insights using business intelligence tools, databases, reporting packages, and data modeling techniques.

Leads Supplemental and Group analytics and business intelligence initiatives, manages and develops analysts, defines KPIs, oversees dashboards and reporting, and translates complex data into strategic recommendations. Partners with business leaders and enterprise Data and Technology teams on data governance, quality, warehouse initiatives, and transformation. Drives cross-functional operational improvements, communicates insights to senior leadership, and ensures analytics support reliable, actionable decision-making.

Support analytics by cleaning, validating, and transforming data; build dashboards and KPI reports; perform trend, cohort, and A/B testing analyses; improve data pipelines and forecasting; present insights to cross-functional teams.

Collects and analyzes data from project, financial, maintenance, and field systems; builds KPI dashboards and recurring reports; identifies trends, risks, and opportunities; supports budgeting and forecasting; validates data with project and operations teams; and communicates actionable insights to leadership while improving reporting processes.

Conduct people analytics and psychometric research to improve employee experience and organizational effectiveness. Design and validate surveys and assessments, perform statistical analyses and experiments, evaluate talent initiatives, and translate behavioral and workforce data into actionable insights for HR leaders and executives. Manage multiple projects while applying I/O psychology, quantitative methods, and data storytelling.

Performs data quality assurance for large datasets by validating imports, updates, transformations, and extracts. Writes SQL test queries, reviews database logic, executes test cases, identifies defects, verifies corrections, and documents testing results. Collaborates with data engineers, business analysts, project managers, and QA professionals to ensure data integrity and compliance with requirements.

Build risk data models, analyze fraud and risk trends, create Tableau dashboards and automated reports, and deliver actionable insights to Risk Operations leaders. The role manages analytics requirements and roadmaps while using SQL, dbt, Dataform, and AI tools to support fraud strategy, compliance monitoring, loss forecasting, and executive reporting.