Top Senior Analysis Reporting Jobs in Huntsville, AL

Design, build, and optimize scalable AWS-based data pipelines and ETL to produce analytics-ready datasets. Support AI infrastructure and inference initiatives, collaborate with architects and engineers, develop high-performance data processing solutions, and manage projects through full lifecycle while improving reliability and operational efficiency.

Lead and develop a team of partnership analysts to evaluate, optimize, and scale partner relationships. Design experiments, forecasting and ROI models, build reporting/dashboards, run cohort/funnel/retention analyses, own testing frameworks, and provide data-driven recommendations to cross-functional partners.

Lead and manage institutional research activities: collect, analyze, validate, and report quantitative and qualitative data; support program/course reviews, accreditation, dashboards, and decision-making; supervise a team and manage ad-hoc and ongoing reporting and assessment projects.

Lead end-to-end quantitative research projects for assigned clients: scope, design surveys, define samples, analyze data, and deliver client-ready insights and recommendations. Serve as primary client contact, guide clients to full-service or DIY solutions on Numerator's platform, use AI-enabled tools responsibly, mentor analysts, support sales and consulting efforts, and manage multiple projects while protecting scope, quality, and timelines. Travel as required.

Lead and manage institutional research activities: supervise staff, collect and analyze quantitative and qualitative data, produce reports and dashboards, support program/course reviews, accreditation, survey design, and provide data-driven recommendations to inform institutional planning and continuous improvement.

Design, build, and maintain scalable batch and streaming data pipelines, improve data modeling and governance, contribute to enterprise data architecture, and collaborate with cross-functional teams to ensure reliable, high-quality data for analytics and operational use.

Build, operate, and optimize large-scale data pipelines and warehouse schemas. Own Airflow orchestration, AWS-based data security (Lake Formation), automated data quality, and production incident resolution. Partner with stakeholders, mentor engineers, and drive DataOps best practices for performance, cost efficiency, and governance.

Provide operational support for enterprise analytics platforms (Databricks, Azure, SQL Server). Manage user access and governance, troubleshoot platform and data issues, document processes and data flows, enable users for self-service analytics, coordinate with engineering/infrastructure/security teams, and help optimize cloud costs and platform reliability.

QA/Business Analyst responsible for developing and executing automated and manual tests, validating ETL/data pipelines and integrations, querying complex relational databases, using AI tools for anomaly detection and test generation, leading requirements gathering and maintaining traceability, documenting defects and data quality findings, and escalating critical issues to leadership.

Lead and own the population health analytics pipeline: intake and reconciliation of claims, eligibility, and MAO-004 data; identify and reconcile care gaps and closures; deliver practice-level performance analysis and billing reconciliations; build funnel instrumentation; document, standardize, and automate pipelines with Product and Engineering. Ensure billing-grade accuracy and support program measurement aligned to CMS reconciliation windows.