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Evaluation Specialists
Job in
Indianapolis, Hamilton County, Indiana, 46262, USA
Listed on 2026-02-01
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
Work Arrangement
Remote (7am-4:00pm M-F)
Worksite Address3500 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 TypeEither Web Cam or In Person
Engagement Type1 Year initial Contract with a possible extra 2 Years extension on yearly basis
NoteApplications 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.
- 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
- 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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