- Employment type: Full Time
- Experience: 0–1 years
- Salary: ₹6,000 – ₹15,000 monthly
- Location: Work For Home
- Work timing: 9:45 AM to 6:45 PM IST
- Working Days: 5 Days
- Education: Any Degree
Who Can Apply?
• Interns: Final-year students or recent graduates in Computer Science, Statistics, Mathematics, Data Science, or related fields with a passion for data storytelling.
• Freshers: 0–1 years of experience with academic projects or internship exposure to data analysis.
• Experienced Professionals: 1+ years of hands-on experience in analytics or data roles, with a portfolio or GitHub/Power BI/Tableau profile showcasing analytical thinking.
Key Responsibilities
• Collect, clean, and analyze data from multiple sources to uncover trends and actionable insights
• Build dashboards and reports using tools like Excel, Power BI, or Tableau
• Translate business problems into analytical solutions through exploratory data analysis (EDA)
• Support A/B testing, cohort analysis, and customer segmentation for business decision-making
• Use SQL to query and manipulate structured data from relational databases
• Assist in building data pipelines and automation for recurring analytics tasks
• Communicate findings effectively through visualizations and presentations
• Collaborate closely with product, marketing, and engineering teams to support data-driven strategies
Must-Have Skills
• Strong proficiency in Excel and SQL
• Basic to intermediate knowledge of Python for data analysis (Pandas, NumPy)
• Familiarity with data visualization tools like Power BI, Tableau, or Matplotlib/Seaborn
• Good understanding of descriptive statistics, data cleaning, and EDA
• Ability to communicate insights clearly to technical and non-technical stakeholders
• Experience with Google Analytics, TruConversion, or similar analytics platforms (optional for interns)
Good to Have (Optional)
• Experience with data storytelling, dashboarding, and automation scripts
• Exposure to R, Looker, or Metabase
• Familiarity with web/app analytics, conversion funnels, and retention metrics
• Understanding of data warehousing concepts and basic ETL pipelines
• GitHub portfolio, published reports, or participation in data hackathons
What You’ll Gain
• Real-world experience in data analytics and business intelligence
• Mentorship from senior analysts and cross-functional collaboration exposure
• Certificate of Internship/Experience & Letter of Recommendation (for interns)
• Opportunity to work on data for educational product growth and user behavior insights
• Flexible working hours and performance-linked growth
• Hands-on end-to-end data projects — from raw data to executive insights
