Property Graph Data Analyst

Property Finder is the leading property portal in the Middle East and North Africa (MENA) region, dedicated to shaping an inclusive future for real estate while spearheading the region’s growing tech ecosystem. At its core is a clear and powerful purpose: To change living for good in the region.

Founded on the value of great ambitions, Property Finder connects millions of property seekers with thousands of real estate professionals every day. The platform offers a seamless and enriching experience, empowering both buyers and renters to make informed decisions. Since its inception in 2007, Property Finder has evolved into a trusted partner for developers, brokers, and home seekers. As a lighthouse tech company, it continues to create an environment where people can thrive and contribute meaningfully to the transformation of real estate in MENA.

The Property Finder Location Tree is one of the company's most important data assets. It powers property search, maps, transactions, market insights and many of our internal products across all markets. As a Property Graph Data Analyst, you will be responsible for maintaining the quality and integrity of the Location Tree through data validation, enrichment and execution of location data improvement initiatives. Working with Product, Data Engineering and Data Science teams, you will ensure our location data remains accurate, complete and aligned with trusted external sources. Your work will directly improve search quality, transaction accuracy and the overall experience of millions of Property Finder users.

• Own the Integrity of the Property Finder Location Tree

Act as the primary owner of the Location Tree as a core business asset powering search, maps, transactions, and market insights. Uphold governance rules, naming conventions, and data standards across all markets. Review, validate, and approve all proposed changes before publication. Ensure hierarchies, relationships, and metadata are structurally correct and aligned with official administrative frameworks. Safeguard consistency and quality across Bahrain, Egypt, Qatar, Saudi Arabia, and emerging markets.

• Govern and Enrich Location Data Using Authoritative Sources

Lead the validation of PF locations against official datasets (e.g., DLD, municipal authorities). Strengthen accuracy through cross-verification with trusted third-party sources such as 2GIS and Google Maps. Detect and resolve discrepancies, missing locations, and incorrect mappings with precision. Drive continuous enrichment to expand coverage, improve granularity, and enhance search relevance. Ensure PF’s location data remains the most trusted and authoritative in the region.

• Lead Large-Scale Data Quality Operations

Own the operational roadmap for improving location data across existing and new markets. Set the standards and review processes for bulk validation and quality assurance exercises. Lead country-wide initiatives to align the Location Tree with official government administrative structures, including new-market builds. Oversee location migration, restructuring, and data improvement projects from planning through execution. Hold the team accountable for accuracy, consistency, and timelines, and escalate risks proactively.

• Define and track health metrics for the Location Tree(coverage, mapping confidence, structural integrity) and report progress

Partner closely with Product, Data Engineering, and Data Science leads to align the Property Graph roadmap with broader company priorities.

Our promise to talent At Property Finder, we believe talent thrives in an environment where you can be your best self. Where you are empowered to create, elevate, grow, and care. Our team is made up of the best and brightest, united by a shared ambition to change living for good in the region. We attract top talent who want to make an impact. We firmly believe that when our people grow, we all succeed.

Property Finder Guiding Principles

• Think Future First
• Data Beats Opinions, Speed Beats Perfection
• Optimise for Impact
• Act Like An Owner
• The Biggest Risk is Taking no Risk at All

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