Data Insights Analyst
Unicsul - Universidade Cruzeiro do Sul
Remote · પાર્ટ ટાઇમ
અરજી કરનારા સૌ પ્રથમ બનો
- અનુભવ
- કોઈપણ
- પગાર
- —
- ઓપનિંગ્સ
- 1
- પોસ્ટ કર્યું
- 4 કલાક પેહલા
- કાર્ય મોડ
- ઘરેથી કામ કરો
- શિક્ષણ
- કોઈપણ સ્નાતક
- લાયકાત
- Students, recent graduates, or early-career candidates with an interest in data analytics and higher education may apply, provided they can work part-time remotely and are willing to learn.
- ફરી શરૂ કરો
- અરજી કરવી જરૂરી છે
કામનું વર્ણન
Role overview
This part-time remote position is designed for an entry-level professional who will help turn institutional data into practical insights for academic and administrative teams. The role supports evidence-based decisions by organizing data, reviewing patterns, and preparing clear outputs that can be shared with both technical and non-technical audiences.
What you will do
- Gather data from multiple internal systems and prepare it for analysis.
- Clean, structure, and maintain datasets so they remain accurate and usable.
- Use basic analytical and statistical methods to identify trends, patterns, and performance indicators.
- Support the creation of reports, dashboards, charts, and summary materials.
- Explain findings in simple terms for stakeholders who may not have a technical background.
- Document approaches, calculations, and outcomes to keep reporting consistent and reliable.
- Work remotely with faculty, staff, and other data professionals on projects that improve student experience, efficiency, and planning.
Qualifications
- Strong analytical ability and a solid foundation in data analysis are needed to interpret information and support recommendations.
- Basic understanding of statistics and data modeling is required for simple modeling, hypothesis testing, and result validation.
- Clear communication skills are important for presenting insights and preparing easy-to-understand reports.
- Comfort with spreadsheet tools and beginner-level analytics software such as Excel, Google Sheets, Power BI, or similar tools is expected.
- Strong attention to detail, organization, and the ability to handle several tasks in a remote part-time setup are essential.
- Studying or having completed a degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or a related subject is helpful but not mandatory.
- Interest in higher education analytics and a willingness to learn through training and mentorship are highly valued.
Additional information
This is a remote, entry-level, part-time opportunity based in the United States. The role is centered on supporting academic and administrative data initiatives for a university environment.