Data Analyst Intern
Help us turn 9 years of dealership data into clean dashboards - track listings, leads, conversions, and inventory turnover across all four verticals.
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Employment
Internship
Duration
3 months
Experience
3rd year or above (B.Tech / BCA)
Location
Samalkha, South-West Delhi (on-site)
About the role
We are a 9-year-old GST-registered dealership house running property, vehicles, furniture, and raw materials under one roof. Most of our data still lives in spreadsheets and WhatsApp. As a Data Analyst Intern, you will help us build the first proper analytics layer - clean the data, design simple dashboards, and surface insights that the founders actually use to make decisions.
What you'll do
- Pull data from our CRM sheets, billing software, and WhatsApp business exports
- Clean and structure data using Excel / Google Sheets and lightweight Python or SQL
- Build weekly dashboards on listings, leads, conversions, and inventory turnover
- Track which sources (walk-in, referral, OLX, website) bring the highest-quality leads
- Document your queries and dashboards so the team can rerun them every Monday
What we need from you
- Currently in 3rd year or later of B.Tech or BCA program
- Strong Excel / Google Sheets skills (pivot tables, lookups, conditional formatting)
- Familiarity with at least one of: SQL, Python (pandas), Power BI, or Looker Studio
- Comfortable working on-site in Samalkha 5 days a week
- Curious about retail, real-estate, and how a small business actually runs
Nice to have
- Past project or internship where you cleaned a real (messy) dataset
- Basic understanding of unit economics, margins, or inventory metrics
What you'll learn
- How a multi-vertical dealership tracks money, inventory, and people
- Designing dashboards that non-technical founders actually use
- End-to-end pipeline: raw export -> cleaning -> dashboard -> weekly review
Perks & benefits
- Direct mentorship from the founders - no layers in between
- Internship completion certificate & LinkedIn recommendation on completion
- Possibility of a pre-placement offer for strong performers