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Data Insights Analyst

Unicsul - Universidade Cruzeiro do Sul

Remote · Неполная занятость

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Опыт
Любой
Зарплата
Открытия
1
Опубликовано
7 спокойно
Режим работы
Работа из дома
Образование
Любой выпускник
Критерии отбора
К участию приглашаются студенты, недавние выпускники или кандидаты на начальные должности, интересующиеся анализом данных и высшим образованием, при условии, что они могут работать удаленно неполный рабочий день и готовы учиться.
Резюме
Необходимо подать заявку.

Описание работы

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.

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