Top Data & Analytics Jobs

Lead enterprise master data governance and quality across Customer, Material, Vendor, Product, and Business Partner domains. Define strategy, operating model, and roadmap; manage and mentor a team of Master Data Analysts and Stewards; act as SAP MDG/S4HANA subject-matter expert; drive data quality KPIs, automation, stakeholder alignment, and organizational change to embed data stewardship and enable digital transformation.

Lead and grow a data engineering team to design, build, and operate scalable, cost-efficient data lakehouse pipelines and infrastructure. Define technical strategy, enforce engineering best practices (CI/CD, testing, monitoring), own roadmap and capacity planning, collaborate with product and engineering stakeholders, manage on-call and operational automation, and hire talent. Ensure data governance, lineage, and compliance in a regulated healthcare environment.

Design, deploy, and administer Hadoop/Big Data platforms. Install, upgrade, patch, configure, and support Hadoop ecosystem components. Manage HDFS security and ACLs, backup and disaster recovery. Work with business teams to gather requirements, write technical documentation, and manage priorities and operational support.

The Senior Business Information Architect leads the enterprise's information landscape through strategic architecture, metadata management, and collaborative governance while ensuring alignment with business requirements and regulatory standards.

Lead analytics to measure and improve end-to-end client experience. Own sentiment and performance analysis (NPS, CSAT, churn, health), design measurement frameworks and leading indicators, build executive dashboards, perform root-cause and financial impact analyses, partner cross-functionally to optimize journeys, and convert qualitative and quantitative insights into prioritized actions.

Build, maintain, and optimize reliable data pipelines and workflows using Python and SQL. Implement automated testing, data-quality checks, schema migrations, and version-controlled changes. Support data lake/warehouse (S3, Athena/Glue, Postgres/Aurora), CI/CD and containerized deployments, monitoring, and production support. Collaborate with analysts, engineers, and client teams to deliver documented, trustworthy data solutions.

Design, implement, and secure Azure-based data lakes and databases (Data Lakehouse) for a statewide child welfare system. Develop data models, optimize access patterns, support disaster recovery, mentor engineers, coordinate security compliance, and document solutions to consolidate county databases into a centralized data environment.

Design, build, and maintain scalable Databricks-based ETL/ELT pipelines (batch and streaming) using Spark, Delta Lake, DBT, PySpark/SQL. Support MLOps with MLflow, build CI/CD, monitor pipelines and models, ensure data quality/security, optimize Databricks resources, integrate with cloud platforms, and mentor junior engineers.

Design and maintain interactive dashboards (Power BI/Tableau), develop SQL queries, analyze performance across systems versus contractual benchmarks, produce reports, support QA/compliance, and train staff to use data visualizations to drive continuous improvement.

Perform quantitative and unstructured data analysis, develop data-gathering applications, create SQL queries and visualizations, document business and functional requirements, establish KPIs, optimize inventory and supply metrics, and support process improvement and auditing activities.