Top Senior Data & Analytics Jobs

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

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 Sr Associate, Fraud Analytics will analyze data to identify fraud trends, develop strategies, and utilize machine learning models for fraud prevention while collaborating with stakeholders across the company.

The Lead Data Analyst will estimate marketing incrementality and improve performance using media mix modeling and predictive modeling. Responsibilities include mentoring other analysts, partnering with teams, and developing predictive models to drive business outcomes.

The Business Analytics Manager will partner with Lifecycle Marketing to enhance member communications, drive engagement, and inform strategic decisions using data analysis and insights.

The Senior Associate, Product Pricing will develop pricing strategies, conduct analyses for profitability, and collaborate with product, finance, and sales teams to optimize pricing models.

The Senior Business Analyst will design solutions, document business requirements, support tool adoption, and perform data analysis for Micron Technology. They will lead testing and provide ongoing support for end users.

The role involves building and maintaining Anaplan models for GTM strategy, aligning stakeholders, and optimizing planning processes across sales and operations.

Design and build data warehouse architecture, develop ETL/ELT pipelines, implement data governance, and partner with teams to improve data systems.

As a Senior AI Analytics Engineer, you'll design and maintain ELT pipelines, develop dbt models, ensure data quality, and support AI initiatives for financial decision-making.