Top Data & Analytics Jobs

Develops customer, campaign, and business insights for multiple clients and categories. Analyzes data, identifies trends and opportunities, translates findings into recommendations, and creates stakeholder-ready reports, presentations, and scorecards. Builds client and internal relationships, supports business decisions, partners cross-functionally on campaigns and reporting, and improves analytical tools and processes. Requires independent management of complex analyses, strong communication, and proficiency with Excel and PowerPoint.

Analyzes and manages Medicare Advantage Stars data across ingestion, transformation, data marts, validation, reporting, and dashboards. Translates CMS Stars specifications into analytical models, validates healthcare data, investigates discrepancies, and delivers actionable insights to health plans. Collaborates with product, engineering, analytics, and plan stakeholders to develop data products and ensure alignment with CMS methodologies.

Develop and maintain Power BI dashboards, reports, custom visualizations, and automated exports for student loan data. Write SQL queries, validate data across multiple sources, investigate anomalies, and establish Azure SQL data refresh strategies. Configure Power BI security, accessibility, and access management; migrate Tableau and Crystal Reports content; document requirements and technical processes; train staff; lead meetings; provide status reporting and knowledge transfer.

Leads enterprise business intelligence strategy, product roadmap, semantic modeling, reporting standards, adoption, and delivery. Partners with Data Engineering, Data Governance, IT, Data Science, and AI Solutions to develop scalable, governed, AI-enabled analytics experiences. Manages BI demand prioritization, stakeholder relationships, team development, technical oversight, and business value measurement. Requires strong Power BI expertise, strategic leadership, technical depth, and experience managing BI products across multiple functions.

Develops advanced reporting and briefing materials for senior leadership, conducts complex data and operational analysis, documents system requirements, evaluates processes, and recommends improvements. The role serves as a liaison between leadership and end users, supports system development and transitions, validates deliverables, presents findings, and may lead contractor support activities. Requires extensive policy evaluation, process improvement, data analytics, client meeting, and Microsoft Excel and PowerPoint experience.

Leads enterprise data architecture and governance for Navy modernization initiatives. Designs scalable data integration, ETL/ELT, lineage, ontology, metadata, master data, and semantic modeling frameworks across classified and unclassified environments. Establishes data quality, security, compliance, KPI, and readiness metric standards while guiding architects, analysts, data scientists, and engineers. Partners with government and executive stakeholders to automate reporting, develop modernization roadmaps, and deliver operational decision-support capabilities.

Analyze data and build analytical datasets, data models, dashboards, reports, and visualizations using Databricks, SQL, Python, and BI tools. Translate business requirements into reporting solutions, validate data quality, identify insights, document analytical logic, and support governance, security, lineage, and compliance. Collaborate with engineers, data scientists, architects, clients, and other stakeholders to deliver accurate, secure, and well-documented analytics solutions.

Leads enterprise business intelligence strategy, roadmap, product delivery, semantic modeling, governance, adoption, and AI-assisted analytics. Partners with Data Engineering, Data Governance, Data Science, AI Solutions, and IT to deliver scalable Power BI and Snowflake capabilities. Manages BI demand, stakeholder relationships, technical standards, team development, and business-value measurement while remaining hands-on in solution design and troubleshooting.

Build and maintain Microsoft Fabric data solutions using Lakehouse Medallion Architecture, OneLake and OneDrive shortcuts, Fabric Pipelines, Dataflows Gen2, and parameterized ingestion workflows. Handle schema drift, develop validation notebooks with Pandas or PySpark, and implement metadata management, load tracking, logging, and data quality checks. The role is a six-month remote contract requiring US Central time-zone overlap and strong English communication.

Leads enterprise business intelligence strategy, roadmap, product delivery, semantic modeling, governance, adoption, and AI-enabled analytics. Partners with Data Engineering, Data Governance, Data Science, AI Solutions, and IT to build scalable Power BI capabilities. Manages BI demand, stakeholder relationships, technical standards, and a BI team while coaching contributors and guiding solution design. Uses performance, adoption, reliability, and business-value metrics to improve analytics products.

Leads advanced data analysis supporting U.S. Department of Justice initiatives. Responsibilities include designing dashboards and reports, architecting data flows, developing SQL/Python/SSIS analytics solutions, performing ArcGIS spatial analysis, monitoring system performance, maintaining data integrity, and mentoring junior analysts. The role collaborates with legal, IT, operational, and management stakeholders to optimize enterprise systems and support decision-making, compliance, and mission objectives.

Leads end-to-end migrations from Relativity Server to Relativity Air and Everlaw, overseeing planning, execution, validation, documentation, quality assurance, automation, and stakeholder coordination. Develops migration SOPs, improves workflows, provides technical escalation support, and ensures data integrity. Supervises and mentors two System Analysts while promoting best practices across litigation support and e-discovery projects.

Leads the strategy, roadmap, governance, and delivery of enterprise business intelligence capabilities. Owns BI product experience, semantic models, reporting standards, demand prioritization, adoption metrics, and AI-assisted analytics initiatives. Partners with Data Engineering, Data Governance, Data Science, AI Solutions, and IT on architecture, security, and scalable delivery. Manages, coaches, and develops the BI team while translating business needs into measurable BI products and outcomes.