Top Senior Analysis Reporting Jobs in Baton Rouge, LA

The Senior Data Center Administrator is responsible for data center operations including inventory management, logistics, vendor coordination, and capacity planning. The role requires technical expertise and strong communication skills to ensure efficient data center environments across multiple locations.

The Senior Business Analyst will lead end-to-end process discovery and define workflows utilizing AI and automation to improve operational efficiency.

Lead Pager Health’s enterprise data and reporting strategy, build a centralized data and reporting shared services function, own internal dashboards and client-facing analytics, partner with Product and Engineering on data architecture and governance, mentor data teams, prioritize and deliver data initiatives, and drive continuous improvement in tooling, automation, and data storytelling to support growth, efficiency, and client outcomes.

Lead a team of data and infrastructure engineers to develop cloud-based data systems and solutions for analytics, ensuring best practices in data management and MLOps.

The Senior Reporting & Analytics Consultant leads customer-focused reporting and analytics engagements, developing solutions, supporting implementations, and training clients, while ensuring project success.

As a Senior Data Engineer, you will design and maintain scalable data models, build production data pipelines, and support analytics across various business functions.

The Senior Data Analyst oversees performance reporting tools, automates data pipelines, conducts quantitative analyses, and communicates findings to various stakeholders.

The Director, Research - Power Markets is responsible for leading the QA/QC process for long-term forecasting, advising leadership, and ensuring market insights are effectively integrated into forecasts.

Build and maintain ETL/ELT pipelines and data platforms across Azure and on-prem sources. Translate business requirements into technical designs, implement ingestion and transformation pipelines, model relational and dimensional data, ensure data quality/security, and support event streaming architectures. Collaborate with SMEs, partners, and vendors to enable new business capabilities.

Lead strategy-science initiatives for credit and fraud across acquisition and account management. Use advanced analytics, experimentation, and ML to identify opportunities, design solutions, and deliver executive recommendations. Partner with cross-functional teams to implement scalable decisioning, mentor junior staff, and measure impact while balancing customer experience and regulatory constraints.