Hybrid Data & Performance Analyst: Adoption Impact

Dublin Chamber

Dublin (OH)

Hybrid

USD 80,000 - 100,000

Full time

48 hours ago
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Benefits offered by this job

Hybrid schedule
Medical, dental, vision insurance
HRA
403(b) retirement match
Paid time off & leave

Job summary

Dave Thomas Foundation for Adoption in Dublin, OH is seeking a data & performance measurement analyst to join the Program team. You will work hands-on with data from Wendy’s Wonderful Kids, bringing together information from multiple sources to support accurate reporting, program evaluation and performance measurement.

You will use Excel and SAS while supporting a transition to R, learning existing systems as the data environment evolves.

Qualifications

  • Undergraduate degree in statistics, data analytics or related field.
  • 4+ years of professional data analysis, statistical reporting or program evaluation experience.
  • Experience extracting, cleaning, transforming and analyzing data from multiple sources using SQL or similar tools.
  • Experience with R, SAS or Python; R preferred.
  • Experience in child welfare or data-driven programs is a plus.

Responsibilities

  • Prepare, maintain and deliver routine reporting of the Foundation’s reach, impact and program progress.
  • Maintain dashboards and data visualizations for monthly, quarterly and annual reports.
  • Analyze demographics, census, utilization and outcomes; ensure data hygiene and de-identified data handling.
  • Develop understanding of programs and data structures to support adoption of R and process automation.

Skills

Data analysis
Statistical reporting
Program evaluation
Collaboration
Interpersonal skills

Education

Undergraduate degree in statistics / data analytics

Tools

SQL
Excel
R
SAS
Python

Job description

Dave Thomas Foundation for Adoption in Dublin, OH is seeking a data & performance measurement analyst to join the Program team. You will work hands-on with data from Wendy’s Wonderful Kids, bringing together information from multiple sources to support accurate reporting, program evaluation and performance measurement.

You will use Excel and SAS while supporting a transition to R, learning existing systems as the data environment evolves.

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