Valuations Analyst

ConsultBae India; Bengaluru; On-site; INR 600,000 - 1,100,000; Full time

Job summary

Truva is seeking a highly analytical Valuations Analyst to drive pricing intelligence and market insights for its TruIQ platform. You will build data-backed valuation models and work with large datasets to derive actionable insights for real estate pricing.

Responsibilities include analyzing market data, refining models, maintaining datasets, and collaborating with cross-functional teams to improve data accuracy and usability in a fast-paced startup environment.

Qualifications

• Bachelor-level or higher in a quantitative field is preferred.
• Experience in data analysis/valuation and real estate analytics desirable.
• Proficient with large datasets and structured data systems.
• Strong problem-solving and analytical capabilities.

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

Skills

Analytical thinking

Attention to detail

Independent working

Strong communication

Education

Engineering, Data Science, Economics or Finance background

Tools

Excel

Google Sheets

SQL

Python

Power BI

Tableau

Job description

Job Description: Valuations Analyst

Location: 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/

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.

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

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

What Truva Offers / Whats Unique

• Handpicked homes: properties that are renovated, legally cleared, quality-audited.
• Transparent, fair pricing: uses data & proprietary tech (TruIQ engine) to price homes fairly.
• Added features for buyers: natural light scores, noise ratings, 3D tours, high-quality visual media.
• End-to-end support: helping with financing, paperwork, legal clearances. They aim to remove or reduce friction & uncertainty.
• 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

Raised US $3 million ( 2530 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 Truvas 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

• 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.