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Hybrid Data Analyst

Unified Mentor  ·  nan, · Hybrid

About the job

Job Title: Data Analyst Intern

Company: Unified Mentor

Location: Remote

Duration: 3 months (Unpaid)

Employment Opportunity: Full time based on performance with Certificate of Internship


About Unified Mentor:

Unified Mentor is dedicated to providing students and recent graduates with practical experiences and professional growth opportunities. We're excited to offer an unpaid internship opportunity in the field of data analysis.


Job Description:

As a Data Analyst Intern at Unified Mentor, you will have the opportunity to gain hands-on experience in data analysis and contribute to real-world projects. This internship is designed to provide valuable insights and skills in data analytics, enhancing your career prospects in this field.


Responsibilities:

  • Assist in collecting, cleaning, and analyzing data sets.
  • Collaborate with the data analysis team to identify trends and patterns.
  • Contribute to the development of data visualization dashboards and reports.
  • Support in creating presentations to communicate findings to stakeholders.
  • Learn and utilize various data analysis tools and techniques.


Requirements:

  • Currently enrolled in or recent graduate of a relevant academic program.
  • Strong analytical skills with attention to detail.
  • Proficiency in data analysis tools such as Excel, SQL, or Python (preferred but not required).
  • Excellent communication and teamwork skills.
  • Ability to work independently and manage time effectively.


Benefits:

  • Hands-on experience in data analysis.
  • Certificate of internship upon successful completion.
  • Letter of Recommendation for future career prospects.
  • Opportunity to contribute to real projects and build your portfolio.


How to Apply:

Interested candidates should fill the form with the subject line "Data Analyst Intern Application.


Application Deadline:

10th May 2024


  • Unified Mentor is an equal opportunity employer. We encourage applications from candidates of all backgrounds and experiences.
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