Bachelors Degree from an accredited university required; Ph.D. from an accredited university preferred.
35 years of direct experience.
Experience in the field of educational research evaluation methodologies measurement theory planning or computer programming.
Experience designing monitoring and implementing program evaluations.
Experience managing and analyzing data with statistical programs including but not limited to SPSS MS Excel Alteryx R and/or Python.
Experience in building and maintaining data dashboards (e.g. Tableau PowerBI).
Experience with mapping software including Alteryx ArcGIS and Tableau.
Skills in recording methodology with technical precision accuracy readability and editorial correctness.
Skills in strategic and operational planning required to implement districtwide planning evaluation and accountability project.
Ability to communicate to meet the diversity of the community district staff members and the public at large.
Design conduct and report data analyses using appropriate research methodology as requested by the Executive Director of Data Strategy and Academic Services leadership.
Research effectiveness of Academic Services programs partnering with Dallas ISD Evaluation and Assessment as needed.
Interpret analyses to identify implications and potential action steps.
Design and present professional development for Academic Services staff and other district employees on the interpretation and implications of data analyses to help drive decisionmaking and actions.
Visualize data analyses in accessible/easy to understand formats for internal and external stakeholders including but not limited to summary reports spreadsheets dashboards and slide decks.
Create and maintain the organization and warehousing of historical data analyses and data deliverables.
Keep abreast of the latest statistical analysis techniques and software.
Keep abreast of the latest research in education related to the Academic Services teams body of work (locally statewide and nationally).
Maintain a working understanding of all district programs and how data analyses will impact those programs.
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