Top Data & Analytics Jobs in Baton Rouge, LA

The Data Engineer will develop and maintain data pipelines, perform data extraction and transformation, and support data analytics across the enterprise.

Turn data into actionable insights by building and maintaining reports and dashboards, identifying trends and data quality issues, writing dbt transformations for analytics models, and collaborating with stakeholders and data engineers to ensure reliable data and clear visualizations that support business decisions.

Lead end-to-end FOIA data migration projects into RelativityOne, define and prioritize migration tooling, author requirements and runbooks, engage agency customers, ensure FedRAMP-compliant handling of DT1 data, and drive continuous improvement and product feedback.

Manage SharePoint/document management and support data warehousing. Perform MS Office automation including Excel macros, use MS Access, and write SQL/PL/SQL. Requires 5+ years in Oil & Gas.

Analyze business requirements, translate them into functional specifications, monitor KPIs, run stakeholder workshops, and prepare reports to improve e-learning solutions and operational efficiency for veterans.

Analyzes sales and revenue data, develops dashboards, reports, and forecasting models, identifies trends and anomalies, and provides recommendations to improve sales performance and operational efficiency. The role partners with Sales, Marketing, Finance, Revenue Operations, and IT to maintain data quality, automate processes, improve data infrastructure, and communicate insights for strategic decision-making.

Develops credit strategy analysis, portfolio reporting, dashboards, and predictive insights using large datasets. Builds and automates Power BI reporting solutions, identifies credit risk trends, translates business needs into technical specifications, and delivers recommendations to improve credit policy and strategy. Provides analytics consulting, documents processes, supports self-service reporting, and trains non-analytical users. Requires collaboration with stakeholders and independent problem-solving in a banking environment.

Analyze workforce capacity, utilization, demand, and performance trends. Build dashboards and reports, support forecasting and scenario analysis, identify workforce risks and optimization opportunities, and translate data into actionable insights for HR, Operations, Finance, and leadership stakeholders.

Design, build, and maintain scalable batch and streaming data pipelines, cloud infrastructure, and the Enterprise Data Hub. Partner with stakeholders to productionize ingestions, ensure data quality, implement metadata/catalog solutions, mentor junior engineers, and support analytics and ML workloads using cloud and big-data tooling.

Provide analytics, automation, and reporting to support compliance testing and monitoring. Collect, validate, reconcile, and analyze large data populations; develop repeatable testing routines, dashboards, and automated solutions; support sampling, exception analysis, reporting, and stakeholder requests to identify trends, risks, and remediation status.