Top Senior Data & Analytics Jobs

The CX Data & Insights Manager leads programs focused on customer and partner insights, translating feedback into actionable recommendations. They manage research initiatives, feedback channels, and engage with cross-functional teams to enhance customer experience and satisfaction across the organization.

The Senior Business Systems Analyst provides technical support for Claims systems, ensuring operational stability and effective troubleshooting, while also collaborating with stakeholders for system improvements.

The Senior Data Engineer will build scalable data pipelines, optimize Snowflake data warehouses, and enable reporting via Power BI while collaborating with stakeholders.

Lead data governance strategy for Data Solutions, establishing standards, processes, and stewardship initiatives to ensure quality and accessibility of data assets.

As a Senior Data Engineer, you will build and optimize data pipelines, integrate AI capabilities, and collaborate across teams to create data-driven solutions, while providing technical leadership and ensuring data quality and governance.

The Lead BI Engineer will build interactive dashboards and reusable semantic models using Microsoft Fabric and Power BI, transforming operational data into actionable insights to support decision-making and continuous improvement.

The Senior Data Engineer will design and build data strategies in the Ad Tech Media practice, collaborating with stakeholders and leading architecture efforts while mentoring junior team members.

The Manager of Data Engineering will lead the data engineering team, oversee data pipeline design and implementation, manage data governance, and ensure data quality while driving team professional growth.

Develop custom R programming code for PK/PD analyses, ensuring data quality and compliance with CDISC standards while training others and improving programming tools.

The Data Engineer is responsible for designing and maintaining data architecture, implementing data pipelines, and collaborating with cross-functional teams to align data strategies with business needs.