Top Data & Analytics Jobs in Birmingham, AL

The Lead Quantitative Analytics Associate conducts statistical analyses and builds predictive models, responding to business needs and enhancing existing models. They work with large datasets, ensuring data management and model maintenance, while communicating insights effectively within the organization.

As an intern, you will design and optimize dashboards in Sigma, write SQL queries for data extraction, and use Python for data manipulation, all while collaborating with the data team.

The Senior Growth Analyst will lead data analytics efforts, develop BI dashboards, engage stakeholders, and ensure data governance within healthcare analytics.

The Business Systems Analyst translates business needs into system requirements, ensuring effective data governance, AI readiness, and operational efficiency across Teachstone's systems.

The Data Migration Specialist plans and executes data migrations for EvenUp, ensuring accurate and secure data transfer into their platform and supporting customer adoption.

The Facets Systems Analyst will perform development and maintenance tasks in Facets, lead a team of developers, and ensure quality outcomes through testing methodologies while maintaining compliance with healthcare standards.

The Business Operations Analyst will centralize and improve corporate reporting and business intelligence while executing data acquisition for patient data initiatives. Responsibilities include metric compilation, dashboard design, and data analysis across multiple teams.

As a Data Analyst at Solace, you will drive operational excellence by identifying inefficiencies, build scalable analytics systems, and communicate data insights to help the business scale effectively.

As a Staff, Advanced Analytics, New Business, you'll analyze data for new business extensions, collaborate with teams, define metrics, and conduct A/B tests to drive strategic decisions.

Lead design, build, and optimization of Sezzle's large-scale data warehousing and pipelines. Own data infrastructure KPIs/SLAs, improve Redshift performance, evolve the data stack, implement ETL/ELT workflows, and partner with cross-functional teams to deliver reliable, scalable datasets.