Top Data & Analytics Jobs

Leads architecture, engineering standards, and delivery for a Snowflake-centered enterprise data and AI platform. Oversees data products, ELT pipelines, modeling, quality, security, reliability, legacy migration, and AI/ML data foundations. Manages distributed internal, partner, and offshore engineering teams; reviews designs and code; establishes CI/CD and operational practices; and partners with governance, business owners, and program leadership to deliver validated, production-ready capabilities.

Produces recurring reports and dashboards, reconciles CTS and CMS case data, validates metrics, documents discrepancies and assumptions, and analyzes operational performance. The role supports scorecards and ad hoc analysis while identifying aging, throughput, quality, rework, and other risks. It collaborates with lane leaders and cross-functional teams while maintaining confidentiality, approved decision rights, and accurate, timely reporting.

Analyze Medicare and Medicaid datasets, design analytical approaches, review R and SAS programming, build healthcare financial models, and translate complex findings into visualizations, presentations, publications, and policy recommendations. The role manages multiple consulting projects, collaborates across teams, presents results to clients, and supports healthcare policy and business decisions.

Manages DoD data, records, configuration, and change-management processes. Maintains CDRLs, equipment inventories, records plans, databases, and SharePoint environments; supports audits, data requirements, reporting, compliance, and database administration. Collaborates with government staff and contractors, provides user support, develops management briefings, and ensures cybersecurity and information-security practices are followed.

Develop and optimize SQL Server and SSIS billing pipelines, automate data movement and validation with Python, and use R and Python for analytics, anomaly detection, and billing decision models. Build data-quality frameworks, support internal reporting tools, integrate ERP APIs, and collaborate with finance and operations stakeholders. The role requires maintainable, tested, auditable solutions and ownership of features across databases, pipelines, analytics, and internal applications.

Develops and maintains organization-wide business intelligence solutions, dashboards, and ad hoc reporting, primarily supporting Finance. Translates stakeholder needs into technical specifications, builds and validates analytics functionality, documents solutions, and provides user training. The role requires healthcare finance knowledge, including revenue streams, payer mix, patient populations, accounting principles, and financial reporting, along with experience using Power BI, SQL, Python, R, and Databricks.

Design and scale reliable data platforms, pipelines, Java microservices, APIs, and reporting infrastructure. Build data validation and reconciliation workflows, support distributed systems, improve pipeline performance and resiliency, and partner with engineering, analytics, and business teams. Contribute to cloud-native infrastructure, CI/CD, Docker, Kubernetes, dashboards, and self-service reporting modernization.

Own Fullbay’s Snowflake data platform end to end, including dimensional modeling, certified metric definitions, semantic layers, identity resolution, transformations, governance, security, cost management, source ingestion, and AI-agent enablement. Build tested SQL and transformation code, establish company-wide data standards, document systems thoroughly, and direct an architecture consultant. Provide guidance for self-service data use while serving as the final authority on definitions, access, and platform design.

Conduct theoretical and empirical research in mortgage finance, including residential property valuation, home price index estimation, and forecasting. Apply statistical, mathematical, econometric, data mining, and programming techniques using SQL, R, and Python. Develop and validate quantitative models, assess model risk and performance, interpret results, and provide business recommendations. Communicate technical findings through presentations, white papers, review reports, and work papers.

Designs, implements, administers, and supports business intelligence solutions, including reports, analytics, dashboards, and scorecards. Collaborates on data structures, develops BI platforms, improves usability, presents solutions to leadership, and communicates technical concepts to nontechnical stakeholders. Provides leadership, mentoring, strategic planning, and people management while ensuring accurate, actionable business insights.