Top Data & Analytics Jobs

Lead the design and development of scalable AWS data pipelines, data lakes, warehouses, and migration solutions. Provide technical leadership, mentoring, code reviews, and architectural guidance while partnering with data scientists, analysts, and stakeholders. Establish standards for data quality, security, governance, performance, and scalability. Drive DevOps, CI/CD, and infrastructure-as-code practices, and troubleshoot complex data engineering issues.

Develops scalable data and software systems using Python and Apache Spark. Designs APIs, data models, ETL workflows, orchestration, and data interactions while optimizing performance, scalability, integrity, and security. Builds user interfaces, contributes to automated testing, applies Agile practices, and supports CI/CD delivery. The role requires strong software engineering, distributed computing, analytical, and communication skills, with AWS, R, Databricks, and SAS experience preferred.

Performs operational and business data analysis across multiple systems to identify trends, performance gaps, root causes, and improvement opportunities. Develops dashboards, reports, process documentation, and recommendations for managers and stakeholders. Coordinates cross-functional analytical work, supports performance measurement and continuous improvement, and communicates findings clearly. Requires independent judgment, strong analytical skills, and experience using data visualization, databases, spreadsheets, and reporting tools.

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.