Data Analyst Product

About PRYPCO

PRYPCO is a Dubai-based proptech company transforming real estate investment through fractional ownership, blockchain-enabled tokenization, and end-to-end property services.

In partnership with the Dubai Land Department and VARA, PRYPCO provides access to premium real estate opportunities in a regulated and innovative environment.

About The Role

We are looking for a Product Data Analyst to help PRYPCO make better decisions through data. You will work closely with product and business teams to define metrics, analyse performance, identify opportunities, and build dashboards. This role is ideal for someone who combines strong analytical skills with business curiosity and can turn data into practical actions.

What You'll Be Doing

• Understanding PRYPCO's business, products, and processes through data
• Partnering with product and business teams to support decision-making with clear analysis and insights
• Defining, improving, and tracking key business and product metrics
• Building and maintaining dashboards in Metabase and Power BI
• Investigating trends, anomalies, and root causes in data
• Supporting self-service analytics by improving data accessibility and usability
• Promoting data literacy across the organization through guidance, documentation, and workshops
  
  

• Previous experience in a Data Analyst or similar analytical role
• Strong SQL skills and experience working with complex datasets
• Good knowledge of Python or other programming languages
• Experience building dashboards and reports for business and product stakeholders
• Ability to turn data into clear insights and actionable recommendations
• Strong communication skills and the ability to work effectively with cross-functional teams
• Comfortable operating in a fast-paced environment with changing priorities
  
  

• Experience in PropTech, FinTech, or other fast-scaling businesses
• Experience supporting product teams with experimentation, funnel analysis, or performance measurement
• Familiarity with data modelling, semantic layers, or data warehouse environments