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Data Analytics Lead (Public Health)

Remote/Hybrid if local to Maryland

Join us at Sparksoft, where we're not just another tech company—we're a catalyst for change. Our mission isn't just to offer IT solutions; it's to revolutionize the way you work. Here, passion isn't just a buzzword; it's the fuel behind groundbreaking ideas and transformative technologies. We serve a wide range of government clients, delivering impact that's felt across the nation.

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.

We are Sparksoft!

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.
  • 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 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)

WHAT WE OFFER: 

At Sparksoft, we know that people do their best work when they feel supported, inspired, and connected. That’s why we’ve built a workplace that balances comprehensive benefits with a culture of collaboration and innovation. From flexible time off to professional growth opportunities, we’re committed to helping you thrive both inside and outside of work. When you join Sparksoft, you’ll enjoy:

•    Competitive compensation and a 401(k) with employer contributions to help you plan for the future
•    Flexible paid time off and hybrid ways of working that support true work-life balance
•    Comprehensive health coverage—including medical, dental, vision, life, and disability insurance
•    A curated in-office experience designed to foster community, team connections, and innovation
•    Opportunities to give back through Sparksoft Cares, including annual company-wide fundraising events
•    Training and development programs that build new skills and prepare you for leadership roles
•    A collaborative, transparent, and fun culture—recognized as a Great Place to Work®

Accessibility and Accommodations: Sparksoft Corporation is committed to providing equal employment opportunities to all individuals. If you require accommodations during the application or interview process, please contact us at Sparksoft.Accommodations@sparksoftcorp.com or call 410-424-7700. Requests are reviewed and fulfilled on a case-by-case basis.

Security Notice: Your privacy and data security are important to us. Sparksoft Corporation will never request sensitive personal information via email. If you receive any suspicious communication claiming to be from Sparksoft, please report it immediately to our security team at abuse@sparksoftcorp.com.

Artificial Intelligence (AI) Policy: While Sparksoft values the appropriate use of artificial intelligence in the workplace, candidates must complete interviews and independent assessments using their own knowledge and abilities. Unless expressly permitted by Sparksoft, the use of AI during interviews and assessments is strictly prohibited. Violations may result in disqualification. Please contact your recruiter regarding accommodation needs.

 

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