Data Analytics and Data Lead- Head Start

Data Analytics and Data Lead
- Head Start

The Data Analyst IV is a subject matter expert in data analytics and data science, responsible for developing, implementing, and managing complex multi‑faceted data projects. This role leads a team of analysts and applies artificial intelligence and machine learning to improve efficiency, decision‑making, and innovation across projects, enhancing data capability and program operations.

• Leads a multidisciplinary team of analysts to conduct data management services, including data entry, data quality, and governance.
• Oversees data infrastructure and engineering, data processing and transformation, and data product development.
• Develops and maintains user‑informed, accessible, accurate, and secure data management processes and systems.
• Develops and maintains the Smartsheet platform to support workflow, task tracking, and management of grant applications.
• Ensures accurate documentation to support knowledge transfer of data projects and maintains official records of data projects.
• Leads analysis to generate recommendations that improve the effectiveness and efficiency of data management and data analysis workflows.
• Maintains and improves data‑driven tools, data pipelines, and automation.
• Implements tracking processes to measure and monitor progress and delivery of grant and data management services.
• Conceptualizes efficient processes for integrating data into tools (e.g., establishing data pipelines, leveraging APIs and data layers).
• Identifies trends, patterns, and correlations through data analysis to provide insights into program delivery and improve customer service efficiency.
• Oversees development of data visualizations and infographics.
• Develops client‑ready written materials such as reports, charts, tables, and PowerPoint presentations.
• Develops, monitors, and manages tasks and deliverables for contract compliance.

• Education:
  
  Bachelor’s Degree in Computer Science, Information Systems, Statistics, Economics, Data Science, or a related field from an accredited university or college.
• Experience:
  
  10 years of relevant and progressive experience conducting complex and multi‑faceted data projects; 3 years of supervisory or team leadership experience.
• Skills:
  
  Strong foundation in statistics and hands‑on experience with tools such as Excel, SQL, R, Python, ETL tools, and API development; proficiency in database design, ETL processes, data warehousing; solid knowledge of PostgreSQL, SQL Server, Oracle, and cloud platforms (AWS, Azure), Docker; experience with Git Hub and documentation on Confluence or SharePoint; strong problem‑solving, analysis, communication, teamwork, organization, time management, and clear, concise writing;
  
  strong analytical and critical thinking; experience reporting analytical findings, working with data layers, and conducting qualitative data analysis.
• Language:
  English fluency (oral and written).
• Software Proficiency:
  Microsoft Office (Excel, Outlook, PowerPoint, Power BI), Smartsheet; project management tools (Jira, Confluence, Git Hub, ); programming and statistics languages (Python, SQL, R, or other statistical packages).
• Location:
  
  Remote; hybrid considered if within 50 miles of North Bethesda or San Mateo offices.
• Security Clearance:
  Ability to pass background investigations as required for federal facilities and systems.
• Travel:
  Up to 15 percent.
• Physical Requirements:
  
  Extended computer use, vision, dexterity, communication, mobility, lifting up to 50 pounds, sensory abilities, and typical office environment exposure.

• 1 year of experience in early childhood education and/or Head Start programs.
• Experience with federal information systems such as Head Start Enterprise System (HSES) and Grant Solutions.
• Knowledge of and experience with the Head Start program and the federal grants process within HHS.

Our company is an equal‑opportunity/affirmative‑action employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, disability, or veteran status. If you require reasonable accommodations during any part of the employment process, please email  and provide details of your request.