HIRIST, a leading IT recruitment partner, is hiring Data Analytics Interns on behalf of a reputed technology client for a remote, part-time internship. This is an ideal opportunity for students or fresh graduates looking to gain hands-on experience in data analysis within a professional business environment.

The internship spans 3 to 6 months, with a flexible commitment of 15–20 hours per week. As a Data Analytics Intern, you’ll work closely with the analytics team to clean data, build dashboards, and support data-driven decision-making. The position is remote, so a stable internet connection is essential.

Key Responsibilities:

• Clean, structure, and prepare datasets for analysis.

• Assist in creating dashboards and visual reports.

• Perform basic data exploration to uncover insights.

• Use tools like Excel, Google Sheets, and SQL for data tasks.

• Support ad-hoc reporting and data requirements as needed.

Required Qualifications:

• Basic proficiency in Excel or Google Sheets

• Familiarity with SQL for data queries

• Strong analytical thinking and attention to detail

• Ability to work independently in a remote setup

Preferred Qualifications:

• Experience with data visualization tools (e.g., Power BI, Tableau, or Looker)

• Exposure to Python for data analysis (e.g., Pandas, Matplotlib)

• Prior academic or self-initiated projects involving data interpretation

Internship Details:

• Duration: 3–6 months

• Hours: 15–20 hours per week

• Type: Paid Internship (Stipend provided)

• Location: Fully remote

• Certificate of Completion awarded at the end of internship

Hiring Process:

1. Resume Screening

2. Basic Data Task

3. Virtual Interview with the Project Team

4. Onboarding through HIRIST

Additional Information:

• No fees or charges involved in the application process.

• The client’s name will be shared with shortlisted candidates during the interview.

• Remote work setup requires a stable internet connection.

Equal Opportunity Statement:
HIRIST is committed to diversity and inclusion. All qualified candidates are encouraged to apply regardless of race, gender, age, disability, or background.