Data Analytics Intern

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:

1. Resume Review
2. Basic Data Task
3. Virtual Interview with Project Team
4. 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.