Data Analyst * Head Start; Program Analytics | Reporting & Visualization

The Data Analyst implements advanced data analytics and conducts advanced analytics. The Data Analyst implements procedures for document management, tracking, reporting, and presentation development, as well as data collection, cleaning, analyses, and checking/validation. The Data Analyst implements policies and procedures to maximize responsiveness to client information needs.

The Data Analyst collects, aggregates, and analyzes program and survey data. The Data Analyst recruits and maintains contact with participants, prepares and conducts data for analysis, and prepares tables and graphs for reports and presentations; retrieves documents, literature, and data for reports, memos, and presentations. This position assists with the preparation and distribution of publications which may include design, layout, and copy‑editing presentations or other printed materials.

The Data Analyst may also conduct qualitative data analysis of documents including, for example, grant application, budget, and intake forms.

• Clean, prepare, and validate quantitative and qualitative data for reliable analysis and reporting.
• Support and monitor data collection including programming surveys using Qualtrics and Alchemer. Data collection activity may involve organizing and maintaining data from quantitative and qualitative sources while ensuring quality and accuracy.
• Conduct data analysis, statistical programming, and data manipulation, leveraging tools such as Excel, Python, R, and Smartsheet.
• Identify trends, patterns, and correlations through data analysis to provide insights into program delivery and to inform customer service efficiency.
• Develop data visualization and infographics using Tableau, Power BI, or ArcGIS.
• Support development of client‑ready written materials (e.g., contribute to reports, prepare charts and tables, PowerPoint).
• Monitor tasks and deliverables for contract compliance.

• Bachelor's Degree in Statistics, Mathematics, Economics, Data Science, or related field from an accredited university or college.

• 3 years of experience comprising 2 years of focused research experience with additional experience including a combination of college labs, internships.

• Strong foundation in statistics and hands‑on experience with tools such as Excel, SQL, R, Python.
• Experience leveraging Git Hub and organizing documentation on Confluence or SharePoint.
• Strong problem solving, analysis, communication, and teamwork skills.
• Excellent organization and time management skills.
• Ability to write clearly and concisely with attention to detail. Strong analytical and critical thinking skills.
• Experience with reporting analytical findings, qualitative data analysis, and working with data layers.

• English fluency (oral and written).

• Microsoft Office (Excel, Outlook, PowerPoint, Power BI), Smartsheet.
• Project Management (Jira, Confluence, Git Hub, ).
• Programming and Statistics (Python, SQL, R, or other statistical packages or languages).

• Philadelphia, PA
• Washington, DC
• Denver, CO
• Kansas City, MO
• Dallas, TX
• Atlanta, GA

Ability to pass background investigations as required for access to federal facilities and systems.

Up to 10 percent.

• Extended Computer Use:
  Ability to sit for extended periods and operate a computer keyboard and mouse.
• Vision:
  Must be able to see and read computer screens and printed materials.
• Dexterity:
  Capable of using hands and fingers to operate equipment and perform tasks requiring precision.
• Communication:
  Able to effectively communicate verbally and in writing with team members and stakeholders.
• Mobility:
  Frequently required to stand, walk, reach, and bend to access office equipment and attend meetings.
• Lifting:
  Ability to lift and carry up to 50 pounds for short distances.
• Sensory Abilities:
  Must be able to perceive and interact with the environment using hearing and speaking skills.
• Work Environment:
  Primarily works in a typical office environment, with exposure to computer screens and moderate noise levels.

• Data analysis experience in early childhood‑related topics.

This position description should not be construed to imply that these requirements are the exclusive standards of the position, nor will it be the sole basis for any subsequent employee evaluations. Incumbents will follow any other instructions and perform any other related duties as may be required by their supervisor.

This position is subject to availability of funds and to any and all restrictions contained in the contract or contracts that provide funding for this position.

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 protected Veteran status.