Top Data & Analytics Jobs in Birmingham, AL

Lead catastrophe risk analytics across lines, validate and customize Cat models, collaborate with underwriting/actuarial/finance to inform pricing and portfolio strategy, build Cat modeling workflows, mentor analytics staff, support live catastrophe events, and drive R&D on emerging risks and vendor/model calibration.

Own and maintain KPI reporting pipelines and business logic, ensure data quality, diagnose KPI changes, perform deep-dive analyses, build dashboards and visualizations, architect data models and curated reporting zones, and partner with Data Engineering and product/marketing stakeholders to enable self-service analytics.

Analyze ad performance metrics (revenue, CPM, fill rates), produce regular reports, support yield and ad ops to optimize inventory across direct and programmatic channels, perform basic forecasting and scenario analysis, collaborate with cross-functional teams, and document insights and testing frameworks to improve monetization.

Lead CX research and knowledge strategy to turn qualitative and quantitative data into actionable recommendations. Manage end-to-end pilot projects, design surveys and research, synthesize insights for executives, develop scalable insight frameworks and knowledge systems, and partner with Marketing to translate findings into external thought leadership.

Organise and curate large amounts of raw material: extract key points from transcripts, collate and maintain clean spreadsheets, tag and categorise links and documents, and create findable information structures following or suggesting systems.

Build and operate data-intensive web products and APIs, extend high-throughput ETL pipelines and scrapers, ensure reliability/observability, design self-scaling services, participate in code review, and collaborate across product, data, and infrastructure teams to meet production SLAs.

The Data Engineer will develop and maintain data pipelines, perform data extraction and transformation, and support data analytics across the enterprise.

Support marketing analytics by analyzing digital channel performance, building and maintaining KPI dashboards, ensuring data accuracy, and collaborating with cross-functional teams to turn insights into actionable recommendations.

Define and govern enterprise data architecture, models, canonical and semantic layers, field-level mappings, and data governance. Partner with IT, Data Engineering, Security, and product teams to ensure data quality, lineage, integrations (Boomi), and platform alignment (Salesforce, Snowflake, NetSuite). Lead M&A data activities, perform hands-on data profiling and validation, and drive adoption of enterprise data standards to support analytics, AI, and automation initiatives.

Serve as embedded BI lead for a divisional sales book, delivering actionable insights from syndicated and commercial data, leading opportunity analysis, training field teams, supporting Power BI reporting, and translating complex data into executive presentations to drive sales performance and planning.