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Baltimore, MD, USA
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Job Summary**
We are seeking an experienced Senior Data Analytics & Governance Specialist to drive data analytics initiatives, data management, governance, and data-driven decision-making. The ideal candidate will have strong expertise in statistical analysis, data modeling, ETL processes, data quality, reporting, and healthcare data, with a good understanding of Medicare and Medicaid provider screening requirements.
**Key Responsibilities**
* Collaborate with program leaders, customers, and technical teams to develop data-driven strategies and business insights.
* Lead data analysis initiatives across operational, population, and vendor-supplied datasets.
* Manage the end-to-end data lifecycle, including data ingestion, transformation, integration, validation, storage, and distribution.
* Design, develop, and optimize scalable data pipelines, ETL processes, and automated workflows.
* Perform data modeling, statistical analysis, forecasting, trend analysis, risk assessment, and performance measurement.
* Establish and maintain data quality standards, governance policies, and monitoring processes.
* Identify and resolve data anomalies, inconsistencies, and source system issues.
* Develop dashboards, reports, visualizations, and executive presentations to communicate analytical findings.
* Create standardized reporting frameworks and KPIs for performance monitoring and governance.
* Evaluate new data sources through feasibility studies, pilot programs, and cost-benefit analysis.
* Ensure compliance with data governance, security, privacy, and organizational standards.
* Drive continuous improvement in analytics capabilities, data management practices, and data maturity.
**Required Qualifications**
* 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 a related discipline.
* Strong knowledge of data analytics, statistical methodologies, mathematics, and quantitative analysis.
* Experience with data modeling, ETL processes, data integration, data quality, and reporting.
* Ability to translate complex datasets into actionable business insights.
* Knowledge of Agile methodologies and/or the Scaled Agile Framework (SAFe).
* Good understanding of Medicare and Medicaid provider screening requirements, including provider licensure and criminal background screening
Any Graduate
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