Top Remote Data & Analytics Jobs

Develops scalable business intelligence and analytics solutions for financial, operational, clinical, and healthcare initiatives. Extracts, transforms, and analyzes data; builds ETL pipelines, reports, models, and applications; performs ad hoc analyses; improves data quality and architecture; and translates stakeholder needs into actionable insights. Collaborates with population health and cross-functional teams to support value-based care, provider outcomes, and strategic decision-making.

Develop and maintain Microsoft Power Apps and Power BI solutions for federal customers. Build data models, DAX measures, Power Query transformations, dashboards, reports, gateway connections, scheduled refreshes, and security controls. Integrate SQL Server and external data sources, perform data quality analysis, support accessibility and ATO compliance, and collaborate with product owners and technical teams in Agile ceremonies. Document solutions, manage artifacts with Git, and translate business requirements into actionable applications and reporting.

Leads the full digital experience research lifecycle, including user interviews, testing, surveys, behavioral analysis, experimentation, and conversion optimization. Defines research and web measurement strategies, analyzes qualitative and quantitative data, builds dashboards and executive presentations, and translates findings into compelling data stories. Partners with marketing, technology, design, product, and development teams to improve global web experiences, while maintaining scalable research documentation and insight repositories.

Maintain and evolve the Looker BI architecture, including LookML models, Explores, dashboards, reporting assets, platform administration, permissions, governance, and performance optimization. Troubleshoot data and reporting issues, deliver scalable self-service analytics solutions, clean up legacy content, and collaborate with cross-functional teams. Provide documentation and user training while supporting compliance, access reviews, and best practices.

Develops and maintains Power BI dashboards and data models, defines KPIs with stakeholders, validates data accuracy, and collaborates with Data Engineering on optimized analytical models. The role documents data lineage and reporting assumptions, supports self-service BI through communications and training, and automates manual reporting processes. It requires SQL, Power BI, DAX, Power Query, data modeling, and data warehouse knowledge, plus strong communication and cross-functional collaboration skills.

Develops advanced operations research models, analytics, decision-support tools, and data solutions for transportation and network optimization. Responsibilities include collecting and analyzing data, evaluating systems and networks, identifying performance improvements, building predictive and prescriptive models, presenting recommendations to senior management, leading projects, and mentoring other operations research professionals.

Support marketing analytics by analyzing digital channel performance, building and maintaining KPI dashboards, ensuring data accuracy, and collaborating with cross-functional teams to turn insights into actionable recommendations.

Lead business intelligence and analytics for executive dashboards, planning, performance reporting, and strategic decision support. Own Power BI and Microsoft Fabric semantic models, data products, governance, lineage, and reporting architecture. Conduct root-cause, trend, scenario, and opportunity analyses, translating ambiguous business questions into actionable recommendations. Partner with finance, strategy, sales, operations, engineering, and analytics teams to improve data quality, scalability, self-service analytics, and AI-ready reporting foundations.

Analyze financial, operational, commercial, customer, and organizational performance metrics. Build dashboards, scorecards, and executive reports; synthesize data into actionable insights; support forecasting, scenario analysis, business planning, strategic initiatives, and executive decision-making through quantitative analysis and modeling.

Drive business intelligence and commercial analytics for SMB Sales by translating performance data into recommendations, dashboards, forecasts, and action-oriented insights. Partner with sales leaders and clients, investigate trends and risks, automate reporting and workflows using SQL and AI tools, and communicate findings to technical and executive audiences. The role requires independent problem-solving in an ambiguous, fast-moving environment and supports AI solution adoption, partner performance, and business growth.