Job Description
Role Overview We are looking for a sharp, data-driven Pricing & Data Analyst who can look at an apartment and its data location, size, floor, age, amenities, recent transactions in the area — and arrive at an accurate price. You will work hands-on with our pricing model, help improve it, and play a critical role in every acquisition decision we make. This is not a back-office analytics role. You will directly influence whether we buy a property and at what price. Your work will have a tangible, visible impact on the business every single day. Key Responsibilities Apartment Pricing & Valuation
- Evaluate apartments for acquisition by analysing location, project, configuration, floor, facing, condition, and comparable transactions
- Arrive at a price recommendation for each property using data, market knowledge, and our internal pricing model
- Conduct on-ground and data-driven research on micro-markets, projects, and localities across Bangalore
- Track and analyse real estate transaction registrations, listings data, and market trends Pricing Model Development & Improvement
- Work with Python (pandas, numpy, scikit-learn) to build, test, and refine our pricing algorithms
- Identify gaps and biases in the current model and propose data-driven improvements
- Build automated data pipelines to ingest transaction data, listings, and market signals
- Run backtesting and validation on pricing model outputs vs. actual sale prices Data Analysis & Reporting
- Build dashboards and reports to track pricing accuracy, margins, and market trends
- Perform analysis on acquisition performance — time to sell, margin realised, pricing errors
- Use SQL to query and extract insights from our transaction database
- Present data-backed recommendations to leadership on pricing strategy and market entry decisions Qualifications Must-Have
- 3–5 years of experience in data analytics, pricing, business intelligence, or a quantitative role
- Strong proficiency in Python (pandas, numpy, matplotlib; exposure to scikit-learn is a plus)
- Solid SQL skills — comfortable writing complex queries on large datasets
- Strong Excel / Google Sheets skills (advanced formulas, pivot tables, data modelling)
- Sharp analytical thinking — ability to look at an apartment and its data and form a pricing opinion
- Comfort with ambiguity — real estate data is messy, and you should enjoy making sense of it
- Excellent communication — can explain pricing rationale to non-technical stakeholders Good-to-Have
- Experience with real estate, proptech, or marketplace/platform businesses
- Exposure to statistical modelling, regression analysis, or machine learning
Required Skills
[Python,Sql]
Additional Information
- Familiarity with data visualisation tools (Tableau, Power BI, Looker, Metabase)
- Experience with data warehouses (BigQuery, Redshift) or data pipeline tools
- Knowledge of Bangalore's real estate market, localities, and property dynamics
- Prior startup experience or comfort working in a fast-paced, high-ownership environment
