Data Associate - Internship

Relai.world

Internship Remote INR 4,000 - 5,000 / stipend Posted 3 weeks ago

Application deadline has passed

Selected intern's day-to-day responsibilites include:

1\. Collect data from builders, websites, government portals (like RERA), and

field teams.

2\. Verify and validate all incoming data for accuracy and consistency.

3\. Clean and organize data in predefined formats (Google Sheets, internal

tools, CRM,

4\. etc.).

5\. Maintain complete and updated datasets for projects, builders, amenities,

prices, inventory, approvals, locality insights, etc.

6\. Coordinate with Builder Relations, Advisory, Product, and Customer

Excellence teams to fill missing data points.

7\. Track data freshness and ensure regular updates for active projects.

8\. Generate reports or dashboards (basic) when required.

9\. Identify gaps in data collection processes and suggest improvements.

Required Skills

Client Relationship Management (CRM) (general)

Required

Effective Communication (general)

Required

Google Sheets (general)

Required

MS-Excel (general)

Required

About Relai.world

Relai is a real estate advisory company based in Hyderabad focused on delivering clear, unbiased, and data-driven guidance to home buyers. The company operates across the full residential buying journey, including project evaluation, requirement mapping, expert advisory, site visits, and customer support. Relai works only with verified residential projects and follows a structured process to ensure customers receive accurate information and a consistent experience. The company uses technology, standard operating systems, and trained teams to remove guesswork from real estate decisions. Tools include AI/ML, CRM systems, expert dashboards, WhatsApp and web bots, and integrated communication platforms. Relai also partners with developers for project marketing and sales through a predictable, transparent workflow. Candidates at Relai gain exposure to real estate advisory, project, marketing operations, Tech, AI/ML and customer engagement under a well-defined process- driven environment.

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