Valuations Analyst

Job Description: Valuations Analyst

Location:Mumbai, Bangalore
Reporting To: Micromarket CEO

Company Deck-  https://docs.google.com/presentation/d/1eUMdkzos-8IwTumbOzWSYv-KFzG6_vfAlAkS4D3256w/edit?slide=id.g32441fe808d_1_131#slide=id.g32441fe808d_1_131

 What is Truva- https://www.truva.in/

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  What they do: Truva is a PropTech startup (founded in 2023) focused on making the home-buying and selling process radically simpler, more transparent, and delightful for both buyers and sellers. 

  
  


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  Where they operate: Primarily in Mumbai (Powai, Bandra) with plans to expand further. 

  
  


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  Founders: Puneet Arora, Monil Singhal, and Ankit Gupta. 

  
  

 What Truva Offers / What’s Unique

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  Handpicked homes: properties that are renovated, legally cleared, quality-audited. 

  
  


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  Transparent, fair pricing: uses data & proprietary tech (“TruIQ engine”) to price homes fairly. 

  
  


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  Added features for buyers: natural light scores, noise ratings, 3D tours, high-quality visual media. 

  
  


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  End-to-end support: helping with financing, paperwork, legal clearances. They aim to remove or reduce friction & uncertainty. 

  
  


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  Speed: claims much faster process than average. For example, average time to sell a home via Truva is ~19 days vs ~9 months in the general market. 

  
  

 Funding, Growth & Position

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  Raised US $3 million (≈ ₹25–₹30 crore) in seed funding. Lead investor: Stellaris Venture Partners, plus angel investors including people like Mukesh Bansal, Ankit Nagori, Lalit Keshre, etc. 

  
  

Role Overview

We are looking for a highly analytical and detail-oriented Valuations Analyst to drive pricing intelligence and market insights. You will play a key role in building data-backed valuation models and powering Truva’s intelligence layer (TruIQ).

Key Responsibilities

• Analyze real estate market data to derive pricing and valuation insights


• Enhance and refine pricing/valuation models using structured datasets


• Maintain and manage large datasets for trend analysis and decision-making


• Collect and map unit-level property data for analytics and intelligence systems


• Work on both field data collection and desk-based analysis


• Collaborate with internal teams to improve data accuracy and usability


• Identify market trends, anomalies, and investment signals

Candidate Profile

• 1+ years of experience in Data Analysis / Valuation / Real Estate Analytics


• Background in Engineering, Data Science, Economics, or Finance


• Strong analytical and problem-solving skills


• Comfortable working with large datasets and structured data systems


• High attention to detail and accuracy


• Ability to work independently in a fast-paced startup environment


• Strong communication and structured thinking

️ Preferred Skills

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  • Excel / Google Sheets (advanced level)
  
  
  • SQL / Python (good to have)
  
  
  • Data visualization tools (Power BI, Tableau)
  
  
  • Understanding of real estate market dynamics
  
  
  • Experience in pricing models or valuation frameworks