Top Data & Analytics Jobs in Baton Rouge, LA

The Lead Business Intelligence Engineer implements best practices for data analysis, develops technical solutions, ensures compliance, and leads team mentoring within the healthcare industry.

As a Business Intelligence Lead, you will analyze complex data to support decision-making, build Power BI solutions, and lead data engineering efforts.

The Senior Business Intelligence Engineer builds scalable, cloud-based reporting solutions for member interactions, collaborating with teams to optimize data insights and reporting for IVR/IVA/Chat channels.

The Data QA Engineer designs and executes test plans for data pipelines and transformations, collaborates with teams to ensure data quality, and utilizes AI techniques for testing automation. They validate business metrics and facilitate cross-team communication.

The analyst provides analytical support, updates rating tools, maintains data accuracy, and communicates with stakeholders while managing projects.

The Business Analyst will gather and analyze business reporting requirements, translating them into actionable insights, and support dashboard development for better data visibility in a fully remote capacity.

The Control Tester - Data & AI Governance leads testing activities for Data and AI Governance controls, assessing their effectiveness, documenting findings, and communicating with stakeholders.

The Software Engineer will develop and enhance Research platforms, leverage data science, and work with cross-functional teams to create scalable, maintainable systems for data products at Netflix.

As Manager of Business Intelligence, you'll lead a team to shape performance metrics, develop analytical tools, engage with stakeholders, and drive BI practices across the Operations organization.

The position involves leading database operations and managing data integration for business intelligence, focusing on PostgreSQL and ETL/ELT pipelines.

The Staff Data Engineer will design data architecture, develop scalable data pipelines, ensure data quality, and lead governance practices while collaborating across teams.

The Staff Analytics Engineer will enhance the analytics data layer, improve data quality, maintain core data models, and introduce AI-assisted workflows to optimize insights generation.