Data Analytics and Data Lead – Head Start
Listed on 2026-10-24
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IT/Tech
Data Analyst, Data Engineering, Data Science Manager, Data Warehousing
Location: Remote |
Salary Range: $85K - $95K
The Data Analytics and Delivery Lead is a subject matter expert in data analytics and data science with demonstrated proficiency in developing, implementing and managing complex and multi-faceted data projects. The Lead demonstrates commanding proficiency in diagnostics, predictive, and prescriptive analytics, database design, ETL processes, data warehousing, and application of AI in data pipelines. The Lead designs, develops, and implements technology-driven solutions that leverage artificial intelligence (AI), machine learning, and data science to improve efficiency, decision-making, and innovation for their assigned projects.
This role strengthens their projects’ data capability and develops data systems to enhance program operations and efficiency.
Leads a multidisciplinary team of analysts to conduct data management services, including but not limited to, data entry, data quality, and governance.
Oversees data infrastructure and engineering, data processing and transformation, data product development.
Develops and maintains user-informed, accessible, accurate, and secure data management processes and systems.
Develops and maintains Smartsheet platform to support workflow, task tracking, and management of grant applications.
Develops and ensures accurate documentation to support knowledge transfer of data projects, and maintain official records of data projects.
Leads analysis to generate recommendations to improve the overall effectiveness and efficiency of data management and data analysis work flow.
Maintains and improves data-driven tools, development of data pipelines and automation.
Implements tracking process to measure and monitor progress and delivery of grant and data management services.
Conceptualizes and maintains efficient processes for integrating data into tools (e.g., establish data pipelines, leverage of APIs and data layers).
Identifies trends, patterns, and correlations through data analysis to provide insights into program delivery and improve efficiency of customer service.
Oversees development of data visualization and infographics.
Develops client-ready written materials (e.g., reports, charts and tables, PowerPoint presentations).
Develop, monitor, and manage tasks and deliverables for contract compliance.
Education:Bachelor’s Degree in Computer Science, Information Systems, Statistics, Economics, Data Science, or related field from an accredited university or college.
Minimum Qualifications:10 years of relevant and progressive experience, conducting complex and multi-faceted data projects.
3 years supervisory or team leadership experience.
Strong foundation in statistics and hands-on experience with tools such as Excel, SQL, R, Python, ETL tools, API development.
Demonstrated proficiency in database design, ETL processes, data warehousing.
Strong foundation in PostgreSQL, SQL Server, Oracle, and cloud platforms (AWS, Azure), Docker
Experience leveraging Git Hub and organizing documentation on Confluence or SharePoint.
Strong problem solving, analysis, communication, and teamwork.
Excellent organization and time management skills.
Ability to write clearly and concise copy with attention to detail and target audience focus.
Strong analytical and critical thinking skills.
Experience with reporting analytical findings, working with data layers, and conducting qualitative data analysis.
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)
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