Top Senior Data & Analytics Jobs in Birmingham, AL

Analyzes personal lines insurance and digital product performance using SQL, BI tools, statistical methods, and financial modeling. Partners with product, experience, actuarial, finance, and operations teams to identify growth opportunities, optimize digital customer experiences, assess risks, support business cases, and influence leadership decisions. Applies AI and automation to improve analytical efficiency, communicates insights through presentations and reports, and mentors colleagues.

Develop and maintain Power BI dashboards, reports, data models, and visualizations supporting commercial sales decisions. Translate business requirements into scalable analytics solutions, improve forecasting and performance reporting, troubleshoot data and reporting issues, validate releases, and maintain DataMart reliability. Partner with sales leaders, business analysts, stakeholders, and technical teams while following governance and development standards.

Lead GIS project delivery and perform complex geospatial analyses supporting water, wastewater, stormwater, conveyance, asset management, digital solutions, and field data collection. Develop GIS-based decision-support tools, use Esri desktop and web applications, interact with clients, and help expand the company’s GIS group. Limited travel may be required.

Conducts business process and systems analysis for credit reporting operations. Develops and maintains applications, specifications, coding logic, tests, and troubleshooting procedures. Analyzes Metro 2 files, rejection reports, disputes, and credit reporting trends; creates Power BI dashboards and visualizations. Collaborates with business units, IT, credit reporting agencies, and governance stakeholders to improve data accuracy, reporting practices, and regulatory compliance. May participate in after-hours on-call support.

Leads decision support and data analysis projects, translating business requirements into reporting applications and analytical solutions. Develops complex programs using SAS, R, SQL, and database technologies; models data sources and flows; creates analytical methods and performance measures; interprets statistical results; and presents recommendations to stakeholders. Mentors colleagues, supports data governance and security frameworks, and consults with internal and external business partners.

Lead the technical design and operation of consumer-facing data products on a Databricks lakehouse. Own medallion architecture, dimensional modeling, ODCS data contracts, data quality, observability, CI/CD, incident response, and production standards. Write and review Python and SQL, guide code reviews, mentor engineers, collaborate with product, platform, governance, and ML teams, and ensure compliant, reliable delivery in a regulated insurance environment.

Designs and supports claims data pipelines, integrations, ETL/ELT processes, reporting infrastructure, BI architecture, and automation solutions. Develops claims data models and analytics for segmentation, triage, assignment, and workflow optimization. Supports cloud platforms, AI-enabled predictive analytics, governance, validation, system integrations, testing, and deployment. Partners with Claims, IT, Finance, SIU, and Data teams to improve data accessibility, operational visibility, and reporting accuracy.

Designs, produces, and maintains recurring and ad hoc reports and dashboards for Client Relations. Analyzes data, identifies trends, ensures reporting accuracy, recommends process improvements, and supports data-driven decisions. The role also provides customer support, assists with system enhancements and QA/UAT activities, presents findings to stakeholders, and manages multiple deadlines with limited supervision.

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.

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.