Top Senior Data & Analytics Jobs in Birmingham, AL

Lead the Data Platform Engineering team owning ETL/reverse-ETL pipelines, replication, and production datastores. Define architecture, roadmap, standards (IaC, observability, schema contracts), mentor engineers, drive incident response and durable fixes, and partner on cross-team technical decisions and operational reliability for data correctness, completeness, and timeliness.

Lead clinical informatics efforts to design fit-for-purpose research datasets and analytic solutions. Serve as liaison between clinicians and researchers, support EHR data, clinical vocabularies, interoperability, NLP/AI/ML, and deliver analytic products for research and business use.

As a Senior Commercial Insurance Analyst, you'll perform complex analyses on data to drive business performance and risk outcomes. You'll collaborate with various teams, generate actionable insights, and mentor junior analysts, all while fostering a data-driven culture and improving operational efficiency.

Embed as the primary analytics partner on a digital product team to define KPIs, own measurement plans, build PowerBI dashboards, analyze member product behavior and funnels, design and evaluate A/B tests, write SQL/Python for analyses, and translate findings into actionable recommendations for product leaders and senior stakeholders.

Lead quota modeling, territory design, and commission planning; maintain Salesforce data and dashboards; leverage Gong/Clari and AI tools to improve forecast accuracy; produce executive-ready sales performance analysis; collaborate cross-functionally and drive continuous improvement in reporting and data governance.

Design, develop, and maintain Power BI reporting and dashboards for Infrastructure Services. Build scalable data models, deliver executive and operational KPIs, partner with stakeholders to define requirements, improve data quality and governance, automate reporting processes, and mentor other analysts. Support integration of data sources and present insights to leadership to drive operational decisions.

The Data Engineer IV is responsible for designing and building data pipelines, implementing transformation logic, ensuring data quality, optimizing data infrastructure, and collaborating with stakeholders. This role requires advanced skills in data engineering, management of projects, and mentoring of junior developers.

Design, implement, and maintain automated data testing and validation frameworks to ensure data integrity across ETL/ELT pipelines and reporting. Develop reconciliation, profiling, and automated test scripts; embed quality controls into Snowflake, Oracle, and AWS pipelines; support test environment strategy and governance; collaborate with engineers, QA, and stakeholders to improve DataOps, monitoring, and reporting validation while mentoring junior team members.

Designs and enforces BI architecture, data standards, and warehouse/data models. Leads BI development using InfoSphere DataStage/QualityStage, Tableau, and IBM DB2. Provides consulting client-facing leadership to implement BI best practices in healthcare payer environments.

The Senior FP&A Manager will guide strategic financial decision-making, create business cases, and benchmark operational performance while partnering with stakeholders across the organization.