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Sparksoft Corporation

Data Analytics Lead – Public Health

Sparksoft Corporation

. Serve as the principal authority for data analytics, statistical analysis, data management, and data quality oversight .

Posted 9/15/2026full-timeColumbia • Maryland • United StatesSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in data analytics, statistical methodologies, and data management, with a strong focus on data quality oversight and governance. Proficient in developing data pipelines, dashboards, and visualizations to support data-informed decision-making and operational efficiency.

Highest-signal resume keywords
Data Analytics ExpertiseAdvanced SQL SkillsData Quality ManagementData GovernanceExperience with Power BI

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Data ManagementStatistical AnalysisData ModelingData ArchitectureETL ProcessesQuantitative AnalysisData Pipeline DevelopmentData IntegrationForecasting TechniquesData Visualization
Soft Skills
Strong Communication SkillsLeadershipCollaboration
Tools & Technologies
Power BIGrafanaAmazon QuickSightPostgreSQLOracleExcelJIRAConfluenceMuralLucidchart
Certifications & Qualifications
SAFe Agile CertificationPublic Trust Clearance
Industry Keywords
Healthcare ITHIPAAMedicareMedicaidFederal Data SourcesData StewardshipComplianceFraud DetectionWaste ReductionBusiness Intelligence

Tech Stack

Tools & technologies
ETLGrafanaOraclePostgresSQL

About the role

Key responsibilities & impact
  • Serve as the principal authority for data analytics, statistical analysis, data management, and data quality oversight
  • Lead and manage data analytics team activities and work with federal customers on analytics lane updates
  • Oversee data collection, ingestion, processing, analysis, interpretation, validation, and reporting
  • Partner with program leads, customers, and technical teams to drive data-informed decision-making and analytics strategy
  • Serve as subject matter expert for data analytics, modeling, and decision-support solutions
  • Lead 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 for analytics, reporting, and business intelligence
  • Establish data quality standards, governance policies, and monitoring processes
  • Identify and resolve data anomalies, quality issues, and source-system deficiencies
  • Apply statistical, predictive, diagnostic, and trend analysis techniques
  • Perform forecasting, optimization, modeling, risk assessment, and performance measurement
  • Conduct quantitative analysis of program effectiveness, operational efficiency, and business outcomes
  • Transform complex datasets into business-ready information for operational and executive decision-making
  • Develop dashboards, reports, visualizations, executive briefings, standardized reporting frameworks, and KPIs
  • 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

Requirements

What you’ll need
  • 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
  • Knowledge of Agile methodology and/or Scaled Agile Framework (SAFe)
  • Advanced knowledge of data analytics, statistical methodologies, mathematics, and quantitative analysis techniques
  • Understanding of Medicare and Medicaid screening of providers for licensure and criminal history
  • Strong understanding of federal data sources including PECOS, NPPES, SSA, SAM, and DOT
  • Experience leveraging federal datasets for provider screening, fraud detection, waste reduction, and abuse prevention
  • Advanced SQL skills across PostgreSQL, Oracle, and Excel-based datasets
  • Experience with JIRA, Confluence, Mural, and Lucidchart
  • Proficiency with Power BI, Grafana, Amazon QuickSight, and Microsoft Excel
  • Experience designing, developing, and maintaining dashboards for operational, compliance, licensure, criminal history, sanctions, and performance metrics
  • Experience using QuickSight’s advanced analytical capabilities
  • Experience analyzing large, complex datasets with industry-standard statistical and analytical tools
  • Expertise in data modeling, database design, data architecture, and data mining
  • 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
  • Experience conducting data source evaluations, pilot studies, and acquisition assessments
  • Strong written and verbal communication skills, including communicating technical concepts 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
  • SAFe Agile Certification(s) listed under education and certifications
  • Preferred: experience in healthcare IT and understanding of HIPAA
  • Preferred: experience and/or knowledge of CMS programs, processes, and standards

Benefits

Comp & perks
  • Competitive compensation
  • 401(k) with employer contributions
  • Flexible paid time off
  • Hybrid ways of working
  • Medical, dental, vision, life, and disability insurance
  • Curated in-office experience
  • Opportunities to give back through Sparksoft Cares, including annual company-wide fundraising events
  • Training and development programs
  • Collaborative, transparent, and fun culture
  • Great Place to Work® recognition