Top Data & Analytics Jobs

Analyze client performance, KPIs, utilization trends, and operational benchmarks using large healthcare datasets. Build reporting views, dashboards, reusable queries, models, and notebooks for Client Success and Operations. Conduct cohort, benchmarking, root-cause, and network opportunity analyses, then translate findings into clear narratives for executives and clients. Partner with analytics leadership to improve analytical standards, documentation, and reusable frameworks.

Build and operate production data pipelines and enterprise data services supporting AI models, agents, and mission applications. Integrate structured and unstructured data across relational, document, vector, and graph systems; establish data quality, lineage, metadata, governance, and secure access practices; and collaborate with AI, platform, government, and commercial engineering teams. Deploy services in Kubernetes and classified environments while developing reusable ingestion, orchestration, documentation, and operational patterns.

Analyzes datasets to identify trends and insights supporting organizational decisions. Develops and manages data sources for demand and capacity planning, source and supply planning, process efficiency, and quality management. Uses Microsoft tools and visualization platforms such as Power BI, Qlik Sense, or Tableau. Requires strong analytical, organizational, communication, and time-management skills, with the ability to manage multiple priorities and work independently.

Owns automated dashboards, SQL-based analysis, data pipeline monitoring, exploratory analysis, and executive recommendations. The role tracks marketplace KPIs such as customer lifetime value, acquisition costs, churn, and provider utilization while partnering with engineering and product teams on data requirements. It is fully remote within the United States and requires advanced SQL, dashboard development, and strong analytical communication.

Build and operate production data integrations and ETL pipelines using AWS Glue, PySpark, Python, SQL, and ClickHouse. Responsibilities include designing schemas, integrating unfamiliar data sources, monitoring pipeline health, debugging incidents, improving observability, supporting restricted-environment deployments, and participating in on-call operations. The role collaborates with forward-deployed engineers and requires full-time onsite work in New York City, occasional travel to Arlington, and eligibility for a U.S. government security clearance.

Develops and maintains Power BI dashboards and reports focused on cybersecurity KPIs, trends, and anomalies. Translates business requirements into data-driven insights using Python, SQL, Snowflake, AWS, and data pipelines. Optimizes data models and queries, integrates data with engineering teams, supports governance and security compliance, and trains stakeholders on BI tools.

Leads complex software development and problem resolution across multiple applications. Designs, implements, and improves business software, leads technical projects, mentors junior engineers, performs advanced analysis and modeling, translates business needs into technical solutions, and ensures projects meet timelines and specifications.

Own the business intelligence domain by building scalable data models, dashboards, reports, data pipelines, and analytical capabilities. Transform large datasets using SQL and scripting languages, maintain data quality and availability, conduct A/B tests, develop predictive models, and generate insights for product, sales, operations, and leadership. The role also includes stakeholder collaboration, data governance, infrastructure improvements, and mentoring colleagues.

Leads prospect identification, research, qualification, portfolio strategy, moves management, Salesforce data integrity, dashboards, and fundraising analytics. The role translates donor and prospect intelligence into actionable recommendations for fundraisers and leadership, supports pipeline development, analyzes acquisition and engagement trends, and establishes data standards and quality controls. It collaborates across advancement and organizational teams while preparing prospect profiles, meeting briefs, campaign lists, and strategic reports.

Leads data engineering, business intelligence, and analytics teams; oversees data pipelines, integration infrastructure, database architecture, CI/CD practices, and enterprise data platform strategy. Partners with business and technology stakeholders to define requirements, improve data capabilities, maintain Ubuntu-based services, and deliver reporting and KPIs to leadership. Responsible for team hiring, development, mentoring, operational health, and technical execution across analytics and data integration platforms.