Data Analytics Lead; Public Health

Position: Data Analytics Lead (Public Health)
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…