Top Remote Data & Analytics Jobs in Birmingham, AL

Owns end-to-end business analytics for Neutrogena categories, delivering performance reporting, dashboards, competitive intelligence, and weekly business storytelling. Analyzes POS, share, retailer, and competitive trends to identify growth opportunities and risks. Partners with marketing, finance, customer strategy, and commercial teams on planning, forecasting, and business reviews. Translates complex data into executive-ready insights and narratives that influence strategic priorities and action plans.

Build and maintain production data pipelines, transformations, governed data products, and cloud data infrastructure for a federal background investigation platform. Develop Python and SQL workflows, contribute to Terraform and CI/CD, monitor data quality and reliability, support data science and ML teams, and operate within FedRAMP, NIST 800-171, and CUI requirements. Collaborate with engineering teams, troubleshoot platform issues, and document processes in a highly regulated environment.

Lead insurance risk analytics engagements for property and casualty carriers. Responsibilities include product demonstrations, regulatory filing guidance, pilot and proof-of-concept design, loss ratio and model validation analysis, client project management, discovery sessions, and translating insights for actuarial, underwriting, and executive audiences. The role also develops AI-assisted workflows and provides customer feedback to product teams.

Build and deliver Azure and Microsoft Fabric data solutions for clients. Responsibilities include developing data pipelines with Azure Databricks, Data Factory, Synapse Analytics, and Fabric; writing SQL, Python, and PySpark; supporting data integration, testing, deployments, troubleshooting, CI/CD, and infrastructure management. The role involves consulting with client stakeholders, collaborating with architects and developers, and delivering modern data platforms and reporting solutions.

Lead and scale companywide analytics for a DTC marketing business: own marketing measurement, financial forecasting, retention/LTV modeling, data architecture, reporting, and the analytics team. Set analytics strategy, oversee data engineering roadmap, build dashboards, apply statistical and ML methods, and translate insights into executive-level decisions.

Analyzes healthcare claims, provider reimbursement, QPA, and dispute data to support No Surprises Act negotiations, arbitration, and OON liability management. Builds SQL-based reports, dashboards, data processes, and financial views; validates data quality; tracks dispute KPIs; integrates internal and external sources; and presents actionable recommendations to leadership and cross-functional stakeholders.

Analyzes paid media performance across the full funnel, connecting spend and platform metrics to applications, enrollment, student lifetime value, and ROAS. Builds attribution frameworks, Databricks data pipelines, Power BI dashboards, semantic models, and advanced DAX reporting. Supports marketing mix modeling, experimentation, web analytics data quality, forecasting, governance, and workflow automation. Translates complex analytics into strategic recommendations for executive and cross-functional stakeholders.

Leads enterprise data platform architecture, engineering standards, technical decisions, and development of scalable data products. Designs batch and streaming systems, governance, observability, security, and reliability practices. Partners cross-functionally, mentors engineers, drives modernization and migrations, and establishes reusable patterns for data modeling, orchestration, quality, and platform operations.

Designs and optimizes scalable data infrastructure, including ETL pipelines, data integrations, BI solutions, validation, cleansing, workflow optimization, and troubleshooting. The role supports clinical and operational teams by integrating data from clinical systems, APIs, warehouses, and external sources while ensuring data quality and performance. Collaboration across departments and delivery of data-driven insights are key responsibilities.

Lead the architecture and implementation of scalable, secure cloud data platforms for Nokia’s photonic integrated circuit operations. Build high-performance batch and streaming pipelines, enterprise data models, quality and observability frameworks, DataOps automation, governance, and AI-ready data foundations. Enable trusted self-service analytics and AI-assisted exploration while leading and mentoring product engineering teams and driving technical excellence.