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Data Analyst

Actively Reviewing the Applications

Amber

India, Maharashtra Full-Time
Posted 14 hours ago Apply by June 17, 2026

Job Description

About Amber (https://amberstudent.com)


Long-term accommodation booking platform for students (think booking.com for student housing). Amber helps 80M students worldwide, find and book full-time accommodations near their universities, without the hassle of negotiation, non-standardized and cumbersome paperwork, and broken payment process. We are the leading student housing platform globally, with 1M+ student housing units listed in 6 countries and across 80 cities.

We are growing rapidly and targeting $1B in annual gross bookings value.


If you are passionate about making international mobility and living, seamless and accessible, then - Join us in building the future of student housing!


Roles and Responsibilities

  • Developing and maintaining databases, data systems
  • Performing analysis to assess quality and meaning of data
  • Generate dynamic dashboards and reports
  • Identify, analyze, and interpret patterns and trends in complex data sets that could be helpful for the diagnosis and prediction
  • Assigning numerical value to essential business functions so that business performance can be assessed and compared over periods of time.
  • Analyzing local, national, and global trends that impact both the organization and the industry Preparing reports for the management stating trends, patterns, and predictions using relevant data


Skills required:

  • Strong hands-on experience with SQL (Redshift, BigQuery, or PostgreSQL)
  • Familiarity with Python or R for data wrangling and light ML
  • Comfort with BI tools — Tableau, Power BI, or Google Data Studio
  • Solid grounding in data cleaning, feature engineering, and visualization
  • Curious about the why behind metrics — not just reporting numbers but questioning them
  • Understanding of A/B testing, funnels, marketing attribution, or user cohort analysis is a plus
  • Good communication skills — able to convert data findings into actionable business stories

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