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Data Analyst for Educational Excellence
2 weeks ago
Uplift Education is seeking a skilled Data Analyst to join our team. As a key member of the Talent Development and Pathways department, you will play a vital role in supporting our mission to create and sustain public schools of excellence.
The successful candidate will have 2+ years of experience with data analysis or business intelligence, as well as a proven understanding of relational database concepts. You will be responsible for conducting analyses related to our teacher incentive and pathways program, utilizing both internal and external data sources.
You will collaborate closely with the Academic Data Analytics Team to evaluate best data analysis strategies based on established practices and protocols. Additionally, you will develop an in-depth knowledge of Uplift's data model and processes, becoming a subject matter expert in these areas.
Key Responsibilities:
- Critically evaluate information gathered from multiple sources and abstract up from low-level information to a general understanding
- Evaluate stakeholder requests to determine needs, with a focus on our Teacher Incentive Allotment (TIA) program, Uplift performance bonus program, and other pathways program
- Support/train stakeholders on effective use of data systems/tools and interpreting of data from assessments and other data collection tools
- Build interactive dashboards as a means for stakeholders to interact with data and analysis
- Develop algorithms to identify students, teachers, and leaders needing assistance in our pathway program
Requirements:
- Bachelor's Degree - applicable major preferred (Mathematics, Statistics, Engineering, Management Information Systems, Computer Science, Systems Engineering, Operations Research, Industrial Engineering, or a Quantitative Social Science)
- 2+ years' experience with data analysis or business intelligence (e.g., Tableau, PowerBI, Google Data Studio, MicroStrategy, etc.)
- Proven understanding of relational database concepts
- Experience developing process documentation
- Experience in applied statistics and value-added analysis
- Experience in data analysis and problem solving with large amounts of data