Top Hybrid Data & Analytics Jobs

Lead design and implementation of scalable, HIPAA-compliant data pipelines and platforms for healthcare ML. Build ETL, orchestration, and tooling for processing EHR, claims, pharmacy, and bioinformatics data; collaborate with data scientists to produce modeling-ready datasets and ensure data quality, reliability, and operational excellence.

The role involves analyzing customer engagement across channels, optimizing lifecycle marketing programs, and collaborating with various teams to improve marketing strategies.

Provide functional support for JD Edwards EnterpriseOne applications, focusing on inventory and distribution while enhancing workflows and user training.

Analyze customer and merchandising data, build data pipelines and reports, write clean queries and code, conduct statistical analyses to identify trends and opportunities, and validate key metrics to inform business decisions.

The Technical Lead will design and implement the Product Data Hub solution, ensuring data governance, integrity, and integration across enterprise systems while leading cross-functional teams.

The Intern will support the CRM Strategy & Solutions team in maintaining Salesforce data integrity, conducting audits, standardizing records, building reports, and improving CRM processes to enhance operations and data governance.

The Financial Process Improvement Analyst designs and maintains performance measurement systems, develops dashboards, and collaborates with finance teams to enhance operational transparency and continuous improvement using Lean Six Sigma methodologies.

The role involves developing and maintaining complex reports and analytics in Workday, collaborating with HR teams to translate business needs into reporting solutions, ensuring quality and accuracy, and leveraging Prism for advanced analytics.

As a Data Analyst, you will gather, analyze and maintain data quality, create reports and dashboards, and support strategic decision-making for Alliance Analytics.

Lead the implementation of data frameworks, manage a regional team, drive data quality and governance, and engage stakeholders in data culture transformation.