Data Analytics Lead

Our true strength lies in our people. They’re the problem-solvers and innovators consistently delivering extraordinary outcomes. With Sparksoft, you’re not stepping into a routine job; you’re joining a team committed to innovation and excellence. Our innovation extends beyond just delivering projects. Through our specialized Innovation Centers, we continuously refine our methods, ensuring we remain industry leaders.

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 Subject Matter Expert (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 Key Performance Indicators (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 a 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 background checks.
• Strong understanding of federal data sources such as PECOS, NPPES, SSA, SAM, and DOT, and experience leveraging these datasets for provider screening, fraud detection, waste reduction, and abuse prevention.
• Advanced SQL skills with experience querying, validating, and analyzing data across multiple platforms, including PostgreSQL, Oracle, and Excel-based datasets.
• Experience using Agile collaboration and project management tools, including JIRA, Confluence, Mural, and Lucidchart.
• Proficiency with data visualization and reporting tools, including Power BI, Grafana, Amazon QuickSight, and Microsoft Excel.
• Experience designing, developing, and maintaining dashboards to monitor operational, compliance, licensure, criminal history (CRIM), sanctions, and performance metrics.
• Utilize QuickSight’s advanced analytical capabilities to identify trends, patterns, risk indicators, and operational inefficiencies.
• Demonstrated experience analyzing large, complex datasets using industry-standard statistical and analytical tools.
• Expertise in data modeling, database design, data architecture, and data mining techniques.
• Experience developing and managing data pipelines, data integration processes, and enterprise data solutions.
• Strong understanding of data quality management, data governance, and data lifecycle management practices.
• Experience conducting data source evaluations, pilot studies, and acquisition assessments.
• Strong written and verbal communication skills, with the ability to communicate technical concepts effectively to executive leadership, customers, business owners, and non-technical audiences.
• Must be able to obtain and maintain a Public Trust clearance.
• Must have lived in the United States for 3 out of the past 5 years.

PREFERRED EXPERIENCE:

• Experience in healthcare IT and understanding of regulatory requirements such as HIPAA.
• Experience and/or knowledge of CMS programs, processes, and standards.

EDUCATION & CERTIFICATIONS:

• 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.
• SAFe Agile Certification(s).