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ROLE & RESPONSIBILITIES

The Data Analytics Lead serves as the principal authority for data analytics, statistical analysis, data management, and data quality oversight for the program. This role is responsible for leading all activities related to the management of data analytics team, working with federal customers for data analytics lane updates. collection, ingestion, processing, analysis, interpretation, validation, and reporting and associated federal data sources and vendor data. The Data Analytics Lead will ensure that data assets are accurate, reliable, actionable, and aligned with program objectives to support informed decision-making across the Government and stakeholder community.

Key Responsibilities:

Partner with program leads, customers, and technical teams to drive data-informed decision-making and analytics strategy.
Serve as the SME for data analytics, modeling, and decision-support solutions.
Lead data analysis initiatives across operational, population, and vendor-supplied datasets.
Manage the end-to-end data lifecycle, including, ingestion, transformation, integration, validation, storage, and distribution.
Design and optimize scalable data pipelines, ETL processes, and automated data workflows.
Standardize, normalize, and structure data to support analytics, reporting, and business intelligence requirements.
Establish data quality standards, governance policies, and monitoring processes to ensure accuracy, consistency, completeness, and integrity.
Identify and resolve data anomalies, quality issues, and source system deficiencies through continuous improvement initiatives.
Apply statistical, predictive, diagnostic, and trend analysis techniques to generate actionable business insights.
Perform forecasting, optimization, modeling, risk assessment, and performance measurement to support strategic planning.
Conduct quantitative analysis to evaluate program effectiveness, operational efficiency, and business outcomes.
Transform complex datasets into business-ready information that supports operational and executive decision-making.
Develop dashboards, reports, visualizations, and executive briefings to communicate analytical findings and recommendations.
Create standardized reporting frameworks and KPIs for performance monitoring and governance.
Evaluate emerging data sources through pilot programs, feasibility studies, and cost-benefit analyses.
Ensure compliance with data governance, security, privacy, and organizational standards.
Promote data stewardship, governance, and best practices across stakeholders and data providers.
Drive continuous improvement of analytics capabilities, data management processes, and organizational data maturity.

REQUIRED EXPERIENCE

5+ years of experience in data analytics, business intelligence, data management, or a related field.
Bachelor’s degree in computer science, Data Analytics, Information Systems or related field
Possess knowledge of Agile methodology and/or Scaled Agile Framework (SAFe).
Advanced knowledge of data analytics, statistical methodologies, mathematics, and quantitative analysis techniques.
Good understanding of Medicare and Medicaid screening of providers for licensure and criminal.