Top Senior Analysis Reporting Jobs in Birmingham, AL

As a Senior BI Data Analyst, you'll analyze complex datasets, build SQL queries, develop predictive models, and create dashboards to drive insights and recommendations.

Lead and scale the Analytics and Data Science functions, empowering teams to deliver insights that drive business outcomes and foster a data-driven culture.

Design, architect, and deliver services for Ensemble's products while collaborating with cross-functional teams and mentoring junior engineers.

Lead the data management strategy and team to design, build, and maintain scalable ETL pipelines and data infrastructure. Implement data governance, ensure data quality, optimize performance using tools like Airflow, Iceberg, Trino, and Spark, and collaborate with cross-functional teams to make data accessible and actionable.

The Senior Clinical Data Manager oversees clinical trial databases, mentors junior staff, and ensures data quality and compliance with regulatory standards.

The CJA Pod Lead/Technical Architect will lead the migration of Adobe Analytics to Customer Journey Analytics, ensuring accurate recreation of analytics logic and reporting structures. Responsibilities include guiding teams, overseeing data validation, and collaborating with stakeholders to optimize analytics environments.

The Senior Data Analyst conducts analysis on IVR interaction data and call performance metrics, collaborating with developers and architects to optimize IVR operations.

The Senior Marketing Data Analyst will analyze marketing data to understand trends, provide strategic insights, maintain data integrity, lead AI-driven analytics, and partner with marketing teams for improved performance.

The Senior Predictive Analytics Analyst builds predictive models to inform business decisions, collaborating with teams and ensuring regulatory compliance.

Own end-to-end marketing performance measurement, design scalable analytics frameworks, and build dashboards and automated reporting. Lead advanced measurement (attribution, MMM, incrementality, experimentation), partner with data teams to improve infrastructure, and translate complex analyses into actionable insights to optimize ROI and pipeline contribution.