Top Data & Analytics Jobs in Birmingham, AL

Analyzes business, customer, sales, pricing, rebate, and profitability data using data warehouses, databases, spreadsheets, statistical tools, and presentation software. Develops reports, recommendations, sales plans, contracts, and customer profiles; troubleshoots discrepancies, documents procedures, supports strategic initiatives, and participates in special projects. Requires independent problem-solving, strong communication, organization, and attention to detail.

Design and implement end-to-end cloud data solutions, lead or mentor engineering teams, ensure performance, security, and scalability, integrate diverse data sources, write and optimize SQL, program in Java/Python/Scala, produce presentations and detailed solution documentation, and engage directly with clients to deliver production-ready systems.

Analyze and reverse-engineer legacy tax data for conversion into TaxSys. Create data mapping specifications for developers, QA conversion results, investigate data issues, prepare data for customer training and verification, and guide clients through conversion decisions and go-live. The role also involves customer communication, project documentation, planning, time management, and potential project leadership.

Analyze business performance, develop hypotheses, answer critical business questions, and build dashboards and reports in Sigma. Support budgeting, forecasting, data quality checks, and reconciliations while partnering with teams across growth, product, insurance, finance, and leadership. Serve as a trusted data advisor by answering metric and reporting questions and promoting data-driven decision-making.

Design and build a durable data storage platform that preserves source disagreements, provenance, uncertainty, historical versions, and evidence. Develop result and evidence stores, lineage tracking, versioned rules and configurations, reproducible decision records, and point-in-time entity views. Collaborate with entity-resolution and machine-learning teams to support probabilistic outputs. The role requires production data engineering experience, strong Python and SQL, PostgreSQL expertise, U.S. citizenship, and an active Secret clearance.

Supports client projects by creating metadata, writing and testing R syntax, cleaning and recoding survey data, performing statistical operations, reviewing code and outputs, documenting data-management processes, and troubleshooting errors. The role requires independent task management, technical communication, quality control, and collaboration on federally contracted projects involving sensitive information.

Designs and implements scalable software solutions, develops maintainable features, resolves bugs, optimizes performance, and writes automated tests. Participates in architecture discussions, code reviews, Agile planning, CI/CD, observability, and adoption of AI-assisted engineering tools. Collaborates with QA, Product Management, and DevOps to deliver software across web, desktop, cloud, and IoT environments. The role is remote for candidates in the Seattle or Los Angeles metropolitan areas, with quarterly travel to Los Angeles.

Contribute data analysis, open-source reporting, visual verification, and investigative journalism to projects involving datasets, satellite imagery, maps, charts, interactive graphics, and digital evidence. Collaborate with reporters and editors, scrape and analyze unstructured data, verify photos and videos, and pitch visual stories while meeting rigorous editorial standards and deadlines.

Supports healthcare data analytics and research projects by evaluating diverse datasets, developing statistical models, validating and cross-referencing data, analyzing care and outcome patterns, and communicating findings to nontechnical stakeholders and clients. The role includes learning healthcare data types, SAS programming, research design methods, and quality improvement analytics while collaborating across multiple teams and managing concurrent projects.

Own analytics and reporting initiatives for EDU Partnerships, from defining business questions through delivery and adoption. Build scalable dashboards, reports, data products, and self-service resources; analyze partner health, performance, student engagement, risks, and opportunities; and deliver partner-facing insights. Collaborate with Product, Engineering, Data, Success, Sales, Marketing, Finance, and Support while communicating findings, improving data quality, and enabling stakeholders to make informed decisions.