Data Analyst I

Koniag Government Services, LLC•Kansas City, MO

19h•Hybrid

About The Position

Koniag Professional Services, LLC is seeking an experienced Data Analyst I to provide critical analytical support for the administration of federal grants supporting early childhood education programs nationwide. This position will support approximately 1,900 grants, delivering data-driven insights that promote evidence-based decision-making, improve grant management processes, and enhance program effectiveness. The ideal candidate will possess strong quantitative and qualitative analytical skills, experience with statistical analysis tools, and the ability to translate complex data into actionable recommendations for federal staff and program leadership. This position requires on-site work at Regional Office locations with telework available upon approval. The Data Analyst I will serve as a key analytical resource supporting federal grant administration for early childhood education programs. This role combines quantitative statistical analysis with qualitative review of program documents to drive programmatic improvements and support federal decision-making. Principal responsibilities will include, but are not limited to: Quantitative Analysis: Compile, prepare, and analyze quantitative data using Excel, Python, R, and other analytical tools Conduct basic and complex statistical analyses to identify trends, patterns, and insights across grant programs Perform longitudinal data analysis, including Program Information Report (PIR) analysis Generate crosstabs, detailed analytical tables, and comparative assessments across programs and regions Identify and resolve reporting anomalies and data quality issues Support congressional reporting and other high-priority data requests Work with data layers and reporting infrastructure to deliver analytical findings Qualitative Analysis: Conduct qualitative analysis of grant applications, budgets, intake forms, correspondence, and other documents Review documentation to identify errors, missing information, or required follow-up actions Identify themes and patterns in textual data Leverage approved AI tools appropriately while adhering to federal policies Synthesize qualitative findings into actionable recommendations Reporting and Communication: Develop high-quality written reports explaining data compilation and analysis results Prepare management information reports on a periodic, cyclical, or ad-hoc basis Create data-driven presentations for management meetings, conferences, and leadership briefings Design and deliver oral presentations with supporting materials Develop compelling data stories that communicate insights to diverse audiences Produce executive summaries and briefing materials for leadership Write analytical reports for congressional reporting and present insights to technical and non-technical stakeholders

Requirements

Bachelor's degree in Statistics, Mathematics, Economics, Data Science, or a related field from an accredited college or university
A minimum of 3 years of relevant post-baccalaureate professional experience directly related to data analysis
U.S. citizenship or legal authorization to work in the United States
Ability to pass background investigations as required for access to federal facilities and systems
Ability to obtain a public trust
Strong analytical and critical-thinking skills with demonstrated ability to conduct both quantitative and qualitative analysis
Experience in reporting analytical findings to diverse audiences
Proven ability to work with data layers and data infrastructure
Demonstrated ability to aggregate, analyze, and present data from multiple sources
Experience with qualitative data analysis methodologies
Proven ability to manage multiple analytical projects simultaneously
Exceptional professional communication skills in English – both written and oral
Ability to translate complex data findings into actionable recommendations for technical and non-technical stakeholders
Proficiency with Microsoft Office Suite and web-based collaboration tools
Ability to work independently and collaboratively in a team environment
Willingness to travel within and outside the assigned region during contract performance to conduct site visits, attend meetings, conferences, and training

Nice To Haves

Experience with federal grant programs, particularly Head Start or similar early childhood education programs
Proficiency in advanced analytical tools, including Python, R, SQL
Experience with data visualization platforms such as Tableau, Power BI
Knowledge of statistical software and database management systems
Experience with Smartsheet for project management and collaboration
Familiarity with Geographic Information Systems (GIS), ArcGIS, or QGIS
Experience with survey methodology or implementation
Knowledge of GitHub for version control and collaboration
Experience with Qualtrics for survey administration and analysis
Familiarity with approved AI tools and platforms in federal environments
Understanding data quality tools and best practices
Experience conducting trend analysis and longitudinal studies
Background in early childhood education policy or program evaluation

Responsibilities

Compile, prepare, and analyze quantitative data using Excel, Python, R, and other analytical tools
Conduct basic and complex statistical analyses to identify trends, patterns, and insights across grant programs
Perform longitudinal data analysis, including Program Information Report (PIR) analysis
Generate crosstabs, detailed analytical tables, and comparative assessments across programs and regions
Identify and resolve reporting anomalies and data quality issues
Support congressional reporting and other high-priority data requests
Work with data layers and reporting infrastructure to deliver analytical findings
Conduct qualitative analysis of grant applications, budgets, intake forms, correspondence, and other documents
Review documentation to identify errors, missing information, or required follow-up actions
Identify themes and patterns in textual data
Leverage approved AI tools appropriately while adhering to federal policies
Synthesize qualitative findings into actionable recommendations
Develop high-quality written reports explaining data compilation and analysis results
Prepare management information reports on a periodic, cyclical, or ad-hoc basis
Create data-driven presentations for management meetings, conferences, and leadership briefings
Design and deliver oral presentations with supporting materials
Develop compelling data stories that communicate insights to diverse audiences
Produce executive summaries and briefing materials for leadership
Write analytical reports for congressional reporting and present insights to technical and non-technical stakeholders