Top Remote Analysis Reporting Jobs in Birmingham, AL

The DMS Data Engineer is responsible for analyzing raw data, building data systems and pipelines, conducting complex data analyses, and collaborating on projects to enhance data quality and reliability.

As a Senior Staff Decision Scientist, you will optimize payment decisioning strategies, analyze risk data, and collaborate to improve platform performance and user experience.

Lead and expand the company's BI and analytics capabilities: set data strategy with senior leadership, manage analytics pipeline and BI stack, implement data governance, mentor and grow BI and data engineering teams, partner cross-functionally to drive data-informed decisions, and manage vendors and processes for scalability.

The Data Engineer Consultant will design and implement scalable data solutions, advise clients on optimizing data environments, and develop ETL pipelines and data models to support business objectives.

Lead client-facing Collibra implementations across data governance, metadata management, catalogs, glossaries, workflows, and stewardship. Facilitate discovery and design workshops, translate requirements into scalable Collibra designs, configure and develop platform capabilities, drive integrations and testing, and coach client teams for adoption and sustainment.

Lead and build the Customer Experience analytics function, owning CX data strategy, BI, forecasting, capacity planning, operational analytics, and executive reporting. Translate large datasets into actionable insights, predictive models, and staffing forecasts, measure AI and human interactions, identify journey inefficiencies, and quantify CX impact on revenue while partnering with CX, Finance, and Data teams.

Lead a high-impact analytics function partnering with clinical and business leaders to apply advanced analytics, modeling, and BI to improve participant outcomes, operations, and financial performance. Manage and mentor analysts, design analyses and models, build stakeholder relationships, and communicate actionable insights to influence enterprise strategy.

Support Practice Success by collecting, analyzing, and reporting operational health data; build dashboards and visuals; maintain project plans and trackers; map processes and identify workflow improvements; coordinate stakeholders and provide day-to-day project support to drive execution.

Perform data collection, cleaning, validation, and analysis on large client datasets using Python, SQL, and spreadsheets. Produce actionable insights and business narratives, automate data workflows, and support text/document annotation to generate labeled data for NLP and LLM solutions. Collaborate with senior analysts and improve internal analytical processes and tool configurations.

Lead design and delivery of Workday reporting and analytics for AMS clients: build advanced/matrix/trending/composite reports, dashboards, Discovery Boards, Worksheets, and complex calculated fields; gather requirements, optimize reports, mentor junior consultants, and provide Workday best-practice guidance.