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Evaluation Specialists

Job in Indianapolis, Hamilton County, Indiana, 46262, USA
Listing for: Padmore Global Connections LLC
Full Time position
Listed on 2026-02-01
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager
Job Description & How to Apply Below
Location: Indianapolis

Work Arrangement

Remote (7am-4:00pm M-F)

Worksite Address

3500 Pennsy Dr, Landover, MD 20785 (Mandatory onsite training with occasional on-site meetings at Carmen Turner Facility in Landover, Maryland or other Metro facilities.)

Agency Interview Type

Either Web Cam or In Person

Engagement Type

1 Year initial Contract with a possible extra 2 Years extension on yearly basis

Note

Applications with resumes in PDF Format will be automatically rejected. Only Word format resumes will be considered.

Major Duties and Responsibilities
  • Design Evaluation Strategies:
    Develop comprehensive evaluation plans and tools to measure the effectiveness, efficiency, and impact of training programs.
  • Develop and Deploy Data Collection Tools:
    Create and utilize surveys, rubrics, focus groups,observational protocols, interviews, etc. that are methodologically sound to gather data from learners, facilitators, SMEs, and stakeholders.
  • Translate Complex Data Into Actionable Insights:
    Through compelling data storytelling,visualizations, and narrative summaries tailored to diverse audiences.
  • Build and Maintain Interactive Dashboards and Executive Level Reporting Tools:
    Use platforms such as Power BI or similar to support real-time decision making.
  • Analyze and Interpret Evaluation Data:
    Apply statistical and thematic analysis techniques to identify trends, strengths, and areas for improvement in training delivery and outcomes.
  • Support Continuous Improvement:
    Collaborate with instructional designers and training teams torefine content and delivery methods based on evaluation insights and learner feedback.
Minimum Qualifications
  • Bachelors degree in education, psychology, or related field
  • 3+ years of experience in training evaluation
  • Experience with technical training programs, with a preference for transit
  • Demonstrated expertise in data storytelling and the ability to craft clear, engaging narratives from complex data sets
  • Proficiency with advanced data tools and platforms, including but not limited to:
  • Power BI or other analytics platforms for dashboard creation
  • Data collection tools (Microsoft Forms, Surveymonkey, or similar)
  • Strong command of Excel, but with a mindset that goes beyond spreadsheets seeking automation, integration, and visualization opportunities
  • Excellent communication skills, with the ability to present findings to both technical and nontechnical stakeholders
  • Familiarity with Kirkpatrick Model, Philips ROI Model, Learning-Transfer Evaluation Model and other evaluation models to measure the impact of training
  • Proficiency in survey platforms and data analysis tools and methods
Preferred Qualifications
  • Experience with SPSS, R, or Python for statistical analysis
  • Familiarity with other learning evaluation models like Philips ROI Model, Learning-Transfer Evaluation Model, and TPACK or SAMR
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