Data Analyst Intern

🏢 Global Corporation
📍 Dubai, United Arab EmiratesFull-timeOn-site
📅 Posted: 1mo ago🔄 Updated: 1mo ago
CV%
✨ AI Summary
This is a Data Analyst Intern position focused on a real data-integrity project within the UAE property market. The intern will evaluate a new property data API against the current source by pulling and reconciling data from both, identifying discrepancies, and providing a recommendation. The role offers active coaching, direct exposure to product and engineering teams, and ownership of a business-critical deliverable. Key responsibilities include connecting to property data APIs, designing and building a matching methodology for property records, quantifying match rates, categorizing discrepancies, and producing a reconciliation report with a recommendation. The intern will also engage in broader market analysis and reporting work. "What you'll have" includes comfort with REST APIs (Python requests, Postman), working Python skills (pandas), strong Excel skills, ability to design approaches, attention to detail, interest in the Dubai property market, and an AI-first mindset. Experience with SQL, fuzzy matching, data pipelines, ETL, and UAE property portals are a plus.
Required Skills
Information Technology
○REST API○Python○Pandas○Generative AI
Productivity & Workplace Tools
○Excel
Other
○designing own approach
Soft Skills & Professional Competencies
○Attention to Detail
Nice to have:
Information Technology
○SQL
Other
○fuzzy matching
🎁 Benefits & Perks
Active coaching from product and engineering teams, direct exposure to data source evaluation, real ownership over a reconciliation report and recommendation, and a portfolio of real analytical work.
Requirements
The candidate should be comfortable calling REST APIs using Python requests or Postman, handling pagination, authentication, and rate limits. Proficiency in Python, especially pandas, and strong Excel skills for reporting are required. The ability to design an approach when the path is not fully specified, attention to detail, and an interest in the Dubai property market are also essential. An AI-first mindset is expected, with comfort using AI tools for analysis, scripting, and reporting.
Description
Job description / Role Job Type Full Time Job Location Dubai, UAE Nationality Any Nationality Salary Not Specified Gender Not Specified Arabic Fluency Not Specified Job Function Finance, Business Analysis & Consulting Company Industry Property & Real Estate About the role We are making every property transaction transparent, fast, and fair for everyone it touches. Property is one of the largest, slowest, most opaque markets in the world. A typical UAE transaction involves a buyer, a seller, two agents, a brokerage, a developer, a bank, a regulator, and weeks of friction across them. Most of that friction exists because the underlying product is bad - fragmented data, manual handoffs, and incentives misaligned with the people the product is supposed to serve. We're rebuilding that infrastructure. Engage is the operating system for how property gets bought, sold, and rented in the UAE. We're owned by Cencorp Group and embedded inside some of the country's largest brokerages - betterhomes, CRC, Linda's - which means our product touches a meaningful share of every property transaction in Dubai. This isn't a typical internship where you shadow and observe. Your first assignment is a real data-integrity project: we're evaluating a new property data API against our current source, and need to know whether it can be trusted before we rely on it. You'll pull data from both APIs across every area of Dubai, build a methodology to match records between them, and tell us where the two sources agree, where they don't, and why. When you're rebuilding infrastructure that brokers and agents depend on, the quality of the data underneath it is the difference between a product that earns trust and one that loses it. That's what this role contributes to. You'll be working on a live, real-stakes project from day one - not a sandbox exercise - with a clear deliverable the business will actually use to make a decision. What we're offering Active coaching from the product and engineering teams, who are deeply invested in your growth, skill development, and resume building. Direct exposure to how a product team evaluates and trusts data sources. Real ownership over a reconciliation report and recommendation the business will act on. A portfolio of real analytical work - methodology, code, and a report - you can take with you. Cross-functional experience working with Product, Engineering, and Customer Success. The basics Location: Dubai, onsite Duration: 3 months Start date: 1 September 2026 Compensation: Unpaid - see what we're offering above What you'll do Connect to two property data APIs (current source and candidate source) and pull structured data across all Dubai areas. Design and build a matching methodology to reconcile property records between the two sources. Quantify match rates and categorize discrepancies, area by area. Produce a reconciliation report and a clear recommendation on whether the new source is ready to rely on. Once this is done, move on to broader market analysis and reporting work. What you'll have Comfortable calling REST APIs (Python requests, or Postman) and handling pagination, authentication, and rate limits. Working Python skills, especially pandas. Strong Excel skills for reporting. Comfortable designing your own approach when the path isn't fully specified. Attention to detail and genuine interest in the Dubai property market. An AI-first mindset - you're comfortable using AI tools to speed up analysis, scripting, and reporting. SQL, experience with fuzzy matching or entity resolution, prior exposure to data pipelines or ETL work, and familiarity with UAE property portals (Property Finder, Bayut, Dubizzle) are all a plus. If you read this and saw yourself in it - or just found it genuinely interesting - hit the Apply button. Apply Now
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🎯 Overalli74%
⚡ Skillsi85%
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Ontology Match: 85.0
Matched:✓ Requirements Matching✓ Ontology Skills Mapping
📜 Eligibilityi49%
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Local: 19600%
🏗️ Career Fiti91%
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Seniority: 91.0
📋 Requirementsi67%
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Domain: 67.0
🔥 Motivationi78%
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Title Fit: 78.00