Top Remote Analysis Reporting Jobs in Huntsville, AL

Design, develop, and maintain Snowflake-backed semantic models and Power BI reports; build SQL queries, functions, and stored procedures; use AI-assisted tooling (Claude, MCP) to accelerate BI development; manage work in Azure DevOps, version control with GitHub; ensure QA, documentation, stakeholder communication, and mentor fellow developers.

Lead Southern California risk, actuarial, and analytics strategy for employee benefits. Serve as market-facing advisor, drive client retention and growth, oversee advanced modeling (funding, stop-loss, forecasting), lead analytics team, scale delivery, and partner with national centers of excellence to align tools and execution.

Lead enterprise analytics initiatives across Sales, Marketing, and Operations. Build predictive and statistical models, create KPI dashboards, translate data into executive-ready insights, mentor junior analysts, and partner with stakeholders and data engineering to deliver actionable recommendations that improve acquisition, retention, and channel performance.

Manage and optimize HubSpot CRM and related platforms to ensure accurate data collection, clean reporting, and consistent standards. Build and maintain workflows, automations, membership modules, campaign tracking (UTMs), and integrations with advertising platforms. Support hub teams on adoption, training, and actionable reporting to measure program impact.

Support large-scale voter contact programs by building and maintaining clean data tables, creating target audiences, prioritizing voting sites, running A/B test-ready segments, producing timely analyses and reports, and building automated processes and dashboards to surface real-time insights for program teams.

Lead clinical performance and outcomes reporting across facilities; analyze and distribute clinical data to support quality improvement, decision making, and resource utilization. Provide analytic leadership, train users, liaise with vendors, develop reporting processes, and support facility and enterprise quality and safety goals.

Design, build, and scale reliable batch and real-time data pipelines and warehouses. Partner with engineering, data science, and business teams to define data models, improve observability, optimize storage and querying, and evangelize data engineering best practices across the company.

Analyze and forecast financial, economic, and market data to support strategic and operational decisions. Develop premium variance reports, set monthly revenue targets, perform A:E analyses, expand explanatory driver interfaces, ensure data integrity and controls, troubleshoot anomalies, and collaborate with actuarial and finance partners.

Lead architecture and implementation of scalable data systems and pipelines from ingestion to delivery. Own ambiguous, high-impact integrations, improve data quality and reliability, adopt AI-augmented engineering, mentor engineers, and collaborate with Product, ML, and customer teams to ship production solutions.

Design, build, tune, and maintain Oracle-based data warehouse solutions and ETL processes. Develop PL/SQL, SQL, SSIS packages, and Unix scripts; manage jobs, scheduling, and monitoring; perform performance tuning, debugging, and production support; collaborate with DBAs, analysts, and teams to implement and document robust data solutions while meeting SLAs.

Support FAA by developing, reviewing, and documenting metrics and dashboards for the National Airspace System. Work with large aviation datasets to perform data quality checks, queries, and automation. Create documentation, user guides, Confluence uploads, presentations, and reports for FAA leadership and industry stakeholders.