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Platform Developer; Personal Services

Job in Springfield, Sangamon County, Illinois, 62777, USA
Listing for: Illinois State Board of Education
Contract position
Listed on 2026-10-28
Job specializations:
  • IT/Tech
    Data Analyst, Data Scientist
Salary/Wage Range or Industry Benchmark: 125 - 144 USD Hourly USD 125.00 144.00 HOUR
Job Description & How to Apply Below

Position:
Platform Developer (Personal Services Contract #8880)

Location:

Springfield

Department:
Software Solutions

Hourly Salary: $125

Office

Hours:

Monday – Friday 8:00 a.m. – 5:00 p.m.

Posted Date:
October 21, 2026

Closing Date:

We are seeking a results-driven Data Analyst / Statistical Data Specialist to support data and analytics initiatives for the Illinois State Board of Education. This role will focus on integrating and analyzing education, demographic, and socioeconomic datasets to support key initiatives such as equity-based funding models, district performance analysis, student population trends, and enrollment projections. The ideal candidate will bring strong experience working with U.S. Census Datasets (including American Community Survey – ACS) and applying advanced statistical and geospatial analysis to inform policy, resource allocation, and program effectiveness.

This role will partner with cross-functional teams to translate complex data into actionable insights that drive improved educational outcomes across the state.

Duties and Responsibilities:
  • Perform end-to-end data preparation and integration across education data systems and external sources (e.g., census, socioeconomic datasets).
  • Analyze student enrollment trends, demographic shifts, and population projections using ACS and census data to support district and statewide planning.
  • Support development and analysis of equity-based funding models using SQL which includes - weighted funding calculations, resource allocation modeling, socioeconomic and demographic impact analysis.
  • Apply advanced statistical and data science techniques using SQL - data normalization, standardization, and transformation, factor analysis and multivariate modeling, construction of weighted indices and composite indicators, analysis of survey datasets using sampling weights.
  • Perform district and school performance analysis, integrating multiple data sources to identify trends, gaps, and improvement opportunities using analytical tools preferably Power BI.
  • Conduct geospatial analysis and spatial data transformations using ArcGIS, including: spatial disaggregation (e.g., district, county, census tract levels), geographic aggregation for reporting and planning, mapping of education metrics with demographic overlays.
  • Collaborate with: program and policy teams, data specialists and data engineers.
  • Performs other duties as assigned.
Required Qualifications:
  • Bachelor's degree in Information Technology (IT) or Computer Science plus two years of IT experience or coursework in the last five years, or, a Bachelor's degree in any field plus three years of IT experience or coursework in the last five years, or, an Associate's degree in any field plus four years of IT experience or coursework in the last seven years, or, a High School Diploma and eight years of experience in the last ten years required.

    (COPY OF TRANSCRIPTS REQUIRED AT TIME OF APPLICATION)
  • Demonstrated experience working with U.S. Census Data, including American Community Survey (ACS) and related datasets.
  • Strong proficiency in data manipulation and scripting using:
    Python (pandas, Num Py, Sci Py, stats models, etc), R, SQL.
  • Hands-on experience with applied statistical analysis, including: data transformations (normalization, standardization) factor analysis and multivariate techniques weighted index creation and modeling survey data analysis with sampling weights.
  • Experience with GIS tools such as ArcGIS or QGIS, including spatial analysis and data transformations.
  • Experience building dashboards and data visualization solutions using tools such as Power BI, or similar.
  • Proficiency in Microsoft SQL server, data modeling tools, and data warehousing technologies.
  • Strong understanding of database concepts and…
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