Top Data & Analytics Jobs in Birmingham, AL

Manage receipt-based data ingestion (OCR, transcription, email, account connections); ensure pipeline stability and data quality; translate business requirements into collection specs; partner with Engineering and Product; manage vendors, forecasting and budgets; produce KPI reporting; and support EU rollout and GDPR-aligned processes.

Design, build, and modernize data solutions in a hybrid cloud environment. Implement ingestion, ELT pipelines, APIs/microservices, streaming and batch processing, data security, unit tests, code reviews, and performance optimizations to support analytics and applications.

Designs, develops, and maintains cloud and on‑prem data solutions for provider master data, roster integrations, contract/network participation tracking, ETL/ELT pipelines, reporting datasets, and dashboards. Provides production support, documentation, data modeling, and stakeholder collaboration to deliver validated analytics and BI products for network management and provider operations.

Serve as the technical bridge between GenLogs' data platform and customers: discover high-value use cases, communicate capabilities, build rapid prototypes/POCs (SQL, Snowflake, Python/Streamlit), translate requirements, and guide engineering/data teams to production while traveling to customers ~1-2 times/month.

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.

Design, develop, and maintain Customer Data Platform solutions and data pipelines to create unified customer profiles, manage identity resolution, enable audience segmentation and activation, ensure data quality and governance, and support integrations with marketing, CRM, and cloud data systems.

Design, build, test, deploy, and support enterprise data solutions for financial reporting, reserving, and claims. Develop and maintain pipelines, transformations, data models, and controls using SQL, Python, PySpark, and Microsoft Fabric. Automate reconciliations and data quality checks, partner with business stakeholders, perform testing, review code, mentor peers, and resolve production issues to improve reporting accuracy and operational efficiency.

Lead Business Analyst partners with leadership to analyze data, evaluate processes, define requirements, build reports/dashboards, drive cross-functional improvements, and deliver executive-ready insights and recommendations to improve efficiency and business outcomes.

Lead design and implementation of end-to-end ELT pipelines and transformation layers (dbt) to produce curated, reporting-ready datasets. Define data models, governance, metadata, lineage, and engineering standards. Partner with cross-functional teams to translate requirements, optimize performance and costs (cloud DW like Snowflake), and grow a data architecture practice that supports BI, self-service analytics, and AI agents.

Design and manage financial systems for accurate cashback calculations, build and maintain reconciliation processes, ensure data integrity for yield-bearing instruments, collaborate with compliance, and partner with cross-functional teams to improve financial system efficiency.