Data Analytics Intern

Hirist

Liverpool

5 months ago

Applications closed

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Data Analytics Intern (Remote – 3 Month Internship)

Company:

HIRIST – IT Recruitment Partner (Hiring for a Technology Client)

Location:

Remote | United Kingdom

Job Type:

Internship

About the Role:

HIRIST is hiringData Analytics Internson behalf of a reputed IT client. This is a part-time, remote internship opportunity designed for individuals looking to apply data analytics skills in a business setting. Interns will work with the analytics team to support ongoing data projects that drive decision-making.

Key Responsibilities:

Clean and organize datasets for analysis.
Assist in generating dashboards and reports.
Perform basic data exploration to support business insights.
Use tools like Excel, SQL, and analytics platforms.
Contribute to ad-hoc reporting tasks as assigned.

Required Qualifications:

Familiarity with Excel or Google Sheets.
Basic knowledge of SQL.
Attention to detail and strong analytical thinking.
Ability to work independently in a remote setup.

Preferred Qualifications:

Exposure to visualization tools like Power BI, Tableau, or Looker.
Experience with Python for data analysis (e.g., Pandas, Matplotlib).
Previous academic or personal projects involving data interpretation.

Internship Details:

Duration: 3 months
Hours: 15–20 hours/week
This is a paid internship. A stipend will be provided.
Certificate of completion provided upon successful completion.

Hiring Process:

Resume Review
Basic Data Task
Virtual Interview with Project Team
Onboarding via HIRIST

Additional Information:

Remote position — stable internet connection required.
HIRIST is a recruitment partner facilitating hiring for its verified IT client.
The client organization’s name will be shared with shortlisted candidates during the interview process.
There areno feesor charges involved at any point in the selection process.

Equal Opportunity Statement:

HIRIST is an equal opportunity recruitment partner. We welcome applications from candidates of all backgrounds, without regard to race, gender, disability, or other protected characteristics.

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