Top Senior Analysis Reporting Jobs in Birmingham, AL

The Data Manager will execute analytics, manage data sourcing and dashboards, streamline reporting, and provide insights for business improvement and performance measurement.

As a Senior Data & Analytics Engineer, you'll lead data initiatives, manage a team, and ensure data quality while turning insights into actionable decisions across the company.

The Associate Director will lead the execution of economic models, manage project operations, and drive business development while collaborating on innovative healthcare solutions.

Lead data conversion processes, provide expert guidance on Oracle Cloud, and ensure the successful implementation of conversion solutions while collaborating with stakeholders.

The Solutions Architect oversees project architecture and delivery, acts as a product liaison, and contributes to the professional services development for Trimble's Construction One platform.

The Lead Insurance Data Analyst will analyze data in healthcare, focusing on insurance billing processes, consolidate data from multiple sources, and provide actionable insights for department improvements.

The Senior Data Engineer will focus on Data Modeling, utilizing SQL, Snowflake, and Apache Airflow to develop efficient data models and deliver data products.

The Associate Director, Commerce Data leads data organization and usage to measure success and enhance business growth, collaborating across teams and ensuring data accuracy and reliability in reporting and forecasting.

Design, build, and maintain production data pipelines and tooling (CI/CD, testing, validation) using Snowflake, dbt, and orchestration tools. Model, transform, document, and optimize data to produce reliable curated datasets for analytics and solutions, enforce engineering best practices, and mentor teammates while ensuring scalability, observability, and data integrity.

Design and optimize BI semantic models and analytics workflows using PowerBI and Tabular Editor; build and transform large-scale datasets in BigQuery with dbt; implement CI/CD and deployment via GitHub and Azure DevOps; collaborate with stakeholders to deliver actionable visualizations and integrate Agentic AI into analytics pipelines.