Data Analytics Intern

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Research Engine is looking for a Data Analytics Intern to support analytical tasks across ongoing projects. The role involves working with datasets, building reports, and contributing insights that assist product, marketing, and business teams.

Role Overview

This internship is suitable for students or recent graduates who want hands-on experience with data preparation, visualization, and exploratory analysis. Interns will work closely with mentors and analysts to understand practical data workflows and contribute to data-driven decision-making.

Key Responsibilities

• Collect, clean, and preprocess data from various sources.
• Use SQL and spreadsheets to organise and manage large datasets.
• Run exploratory data analysis (EDA) to identify trends or insights.
• Create dashboards, charts, and reports using Excel, Google Sheets, or BI tools.
• Support A/B testing, KPI tracking, and performance measurement efforts.
• Document findings and present insights to mentors and team members.
• Collaborate with product, marketing, and business teams to support data-led improvements.
• Perform quality checks to ensure accuracy and consistency.
• Assist in automating repetitive tasks using Python (optional).

Requirements

• Pursuing or recently completed a degree in Engineering, Statistics, Mathematics, Computer Science, Data Science, or related fields.
• Proficiency in Excel or Google Sheets, including formulas and pivot tables.
• Basic knowledge of SQL for querying relational databases.
• Familiarity with Python libraries like Pandas, NumPy, or Matplotlib is a bonus.
• Understanding of basic statistics, visualization, and reporting concepts.
• Strong analytical thinking and attention to detail.
• Ability to work with teams and meet deadlines.
• Prior internship or project experience in data analytics is an advantage.

Internship Details

• Internship Duration: 2 months
• Working Days: 5 days per week
• Type: Full-time, Work From Home
• Application Deadline: 7 Dec 2025