Top Remote Data & Analytics Jobs

Analyze digital, email, direct mail, and lifecycle marketing performance; evaluate leads, conversions, customer segments, retention, and cross-sell opportunities; support A/B testing, attribution, forecasting, and budget allocation. Translate campaign data into actionable recommendations, improve reporting consistency, and partner cross-functionally to optimize acquisition and customer engagement using analytics and AI-enabled tools.

Develops healthcare reporting and analytics solutions using Power BI and SQL to improve operational and clinical performance. Responsibilities include gathering requirements, validating data quality, creating dashboards and reports, partnering with data engineering and advanced analytics teams, training users, maintaining documentation, managing reporting timelines, and resolving data or logic issues.

Build and maintain enterprise BI dashboards, data models, reporting layers, data quality metrics, and governance reporting for USDA human capital systems. Translate stakeholder requirements into scalable BI products, support Databricks Lakehouse architecture and migration, manage metadata and data lineage, develop validation scripts, coordinate user acceptance testing, and ensure data quality, security, and governance compliance.

Analyze supply chain business processes and large datasets to identify gaps, improvement opportunities, and actionable insights. Build data visualizations, present findings, catalog data sources and metrics, and support integrated data architecture. Automate complex processes to streamline operational workflows and improve data-driven decision-making.

Leads competitive intelligence and market analysis for Medicaid, DSNP, and Marketplace RFPs. Reviews competitor responses, identifies gaps and differentiators, develops recommendations, maintains intelligence databases, supports capture strategy and oral presentations, and advises business development, product, legal, and executive stakeholders. Provides benchmarking, proposal analytics, training, and protest support while refining RFP methodologies. Requires 50% or more travel.

Builds and manages clinical outcomes and client experience measurement programs. Responsibilities include administering surveys, consolidating data, defining measurement methodologies, developing scorecards and recurring reports, analyzing trends, and connecting outcomes to provider network performance. The role translates complex findings into actionable recommendations for clinical and operational leaders, supports quality improvement initiatives, and contributes to research projects, white papers, and thought leadership.

Develop and maintain Qlik dashboards, visualizations, data models, and ingestion pipelines using Oracle EBS data through Advana. Translate federal reporting requirements into technical specifications, optimize ETL and dashboard performance, support validation, UAT, deployments, documentation, and compliance with government security and data governance standards.

Analyzes operational and management problems using mathematical and simulation models, statistical testing, and validated data. Develops, verifies, and evaluates models; prepares technical reports and briefings; conducts data elicitation and project-scoping sessions; supports implementation assessments and customer engagement. May lead small project teams, develop client training, and support related projects.

Reviews and evaluates domain-specific documents, providing structured feedback on quality, accuracy, and relevance. The role requires strong analytical and written communication skills, detailed document review, proficiency with spreadsheet and presentation software, and the ability to follow structured guidelines. Candidates must have a bachelor’s degree, at least three years of relevant professional experience, English proficiency, and reside in the United States, Europe, the United Kingdom, or Canada.

Conduct forensic analytics for anti-money laundering and financial crime monitoring. Analyze large transactional datasets with SQL and Alteryx, identify suspicious behaviors and emerging typologies, develop and validate detection scenarios, calibrate thresholds, perform lookbacks and segmentation studies, evaluate transaction networks, and support AML investigations, SAR narratives, and regulatory responses.