Student Worker Data Analytics

 Posted 5 days ago
     
0-2 years experience
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AI Summary

The student worker will develop, update, and maintain Power BI dashboards while performing data analysis and cleaning tasks. They will also assist staff with ad hoc data requests and document data processes to ensure transparency.

Position Type:

Part time

Remote Type:

Salary Range:

$16.37/hr

Job Shift:

Job Description:

Dunwoody is seeking a Part-Time Data Analytics Student Worker to support our team with building and maintaining Power BI dashboards, performing basic data analysis, and assisting with ad hoc data-related tasks. This role is ideal for a student looking to gain hands-on experience using data to support decision-making in a real-world environment.
The student worker will work closely with staff to translate questions and requirements into clear, accurate, and visually effective dashboards and reports.
Key Responsibilities
  • Develop, update, and maintain Power BI dashboards
  • Import, clean, and transform data using Power Query
  • Apply basic DAX calculations (measures, calculated columns)
  • Ensure dashboards are accurate, well-organized, and user-friendly
  • Respond to feedback and make iterative improvements
  • Assist with testing dashboards and verifying data accuracy
  • Document data processes, definitions, and workflows to support transparency and continuity.
  • Support small, ad hoc data requests from staff
  • Help organize datasets, files, and report documentation
  • Learn and follow data governance and privacy practices
  • Attend meetings to understand reporting needs
Required Qualifications
  • Currently enrolled in or recently completed a program in: Web Programming & Database Development (CWEB) or related computer field
  • Experience with or coursework using Power BI
  • Comfort working with data in Excel (formulas, tables, basic analysis)
  • Basic understanding of data concepts (rows/columns, joins, metrics)
  • Strong attention to detail and organization
  • Ability to manage small tasks independently

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