Top Remote Analysis Reporting Jobs in Birmingham, AL

The Data Engineering Lead will guide a team to build a scalable AI-ready data platform, focusing on data governance, pipeline reliability, and mentoring engineers to enhance data accessibility and usability.

The Big Data Lead will manage database development, ETL/ELT processes, and data warehousing, optimizing performance and ensuring data pipelines work reliably.

The Principal Data Architect will lead the development of a data architecture strategy, ensuring data availability, consistency, and smooth integration for analytics across teams. This role requires collaboration with various stakeholders to establish standards, governance, and hands-on contributions to data modeling and platform improvements.

As a Data Analyst, you will support senior analysts and business leaders with insights through SQL, dashboard building, and data analysis to influence revenue and retention decisions.

The Senior Game Integrity Analyst safeguards poker gameplay integrity by investigating suspicious behavior, providing analytical insights, and enhancing detection tools.

The Lead Data Engineer drives enterprise-scale data solutions, oversees project scoping, and leads a team, ensuring best practices in data engineering.

As a Data Engineer, you'll design and optimize data pipelines, collaborate with teams for analytics and machine learning, and enforce data governance standards.

The role involves building and optimizing data pipelines, modeling datasets, applying machine learning techniques, and supporting data strategies. Candidates should have experience with Python, data lakes, warehousing, and related technologies.

As a Data Engineering Architect, lead the transformation of data engineering into a modern platform, oversee architecture and technical leadership, design scalable systems, ensure data quality and governance, and mentor teams for a data-driven culture.

The Associate Director leads a data management team, ensures quality deliverables for clinical trials, manages vendor relationships, and implements process improvements across data management activities.