Top Analysis Reporting Jobs in Birmingham, AL

The Senior Analytics Engineer will enhance data models, optimize performance in Snowflake, and bridge data engineering with analytics teams for strategic decision-making.

The Data Scientist will build analytics infrastructure, conduct analysis and modeling, and collaborate with teams to enhance data impact and insights. Responsibilities include exploratory analysis, model building, and maintaining datasets for student success and operational efficiency.

The Senior Analyst, Marketing Analytics & Insights will analyze marketing performance data, provide insights, collaborate across teams, and optimize strategies to improve ROI.

The Senior Analytics and Insights Manager partners with GTM teams to drive data-driven decisions, providing insights, KPIs, and fostering collaboration for improved performance and strategy execution.

Manage analytical service operations by overseeing a team, designing software for data mining, developing statistical models, and generating insights for marketing outcomes. Provide training and mentorship to direct reports.

Lead the evolution of data platform by designing scalable pipelines, improving data processes, mentoring teams, and modernizing data architecture.

The Senior Data Engineer II will design and maintain scalable data pipelines, collaborate with teams on machine learning workflows, and ensure data accessibility across systems.

The Analytics Engineer will manage BI modeling, create dashboards, ensure data quality, and collaborate with customers and teams for reporting needs.

The Informatics Manager analyzes medical and dental claim operations, provides insights for decision-making, and manages operational data resources to support Service Operations.

The Analyst supports financial and operational management of pricing and Discount Guarantees, performing reconciliations, validating data accuracy, and preparing reports. Responsibilities include assisting with audits, maintaining data tools, and collaborating across teams on financial inquiries.

The Data Engineer will design and implement ETL/ELT data pipelines, optimize performance, ensure data quality, and collaborate on data integration for analytics.

Lead enterprise conceptual, logical, and physical data modeling for P&C and life insurance domains. Design models for ODS, data lakes/warehouses, and streaming pipelines; enforce governance, metadata, and MDM alignment; collaborate with engineers, architects, and business SMEs; mentor junior modelers and produce documentation to support scalable, analytics-ready data platforms.