The Sandra Dunagan Deal Center for Early Language and Literacy is looking to support research and evaluation efforts by managing, collecting, analyzing, and visualizing educational data to enhance early language and literacy development, ensuring children read on grade level by the end of third grade.
Requirements
- Strong analytical skills with expertise in data management, statistical analysis, and visualization.
- Experience with statistical tools (Excel, SPSS, SAS, R, Python, etc.).
- Understanding of database structures, data modeling, and data governance principles.
- Technical expertise regarding data models, database design development, data mining and segmentation techniques.
- Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS etc.).
- Strong analytical skills with the ability to collect organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
- Experience with Microsoft Teams, PowerBI, or future database solutions.
Responsibilities
- Identify, acquire, and organize data from relevant internal and external sources.
- Maintain and structure datasets using Microsoft Teams, PowerBI, or future database solutions, ensuring accessibility and organization.
- Develop and implement protocols to ensure data integrity, security, and confidentiality.
- Perform data cleaning and transformation processes to prepare data for analysis and reporting.
- Maintain a relational database to enhance data storage and management.
- Automate data into the PowerBI dashboard.
- Interpret and analyze educational data using statistical methods to inform decision-making.
Other
- Bachelor's degree in Mathematics, Psychology, Economics, Computer Science, Information Management, Statistics, or a related field.
- 1-2 years of experience as a Data Analyst in a university, research lab, or nonprofit setting.
- Strong collaboration and communication skills to convey complex data insights to non-technical audiences.
- Ability to manage multiple projects, prioritize tasks, and adapt to shifting priorities.
- This position may travel 1% - 24% of the time
