Data Analyst

The Story So Far: We’re Building a Global Brand in Real Estate

Huspy is one of the leading property technology companies in EMEA.

Launched in 2020, we now operate in multiple cities across the UAE and Spain, expanding into Saudi Arabia and 3 more European markets by 2026. Today, we own the largest portion of the UAE mortgage market and are one of the fastest-growing players in every European city we’ve entered.

We’ve raised over $140 million (Series A and Series B) from the world’s top investors, including Sequoia Capital and Balderton Capital, to reshape the homebuying journey through powerful technology and agent-first tools. 

We’ve built a SuperApp that empowers real estate agents and mortgage brokers, bringing cutting‑edge technology to one of the world’s most traditional industries. We’re transforming how property transactions happen — faster, smarter, and better for everyone.

We’re not slowing down. The question is: will you be part of what’s next?

The Main Event: What You’ll Drive, Build, and Own

At Huspy, our Data team powers growth and innovation by transforming data into actionable insights. As a Senior Data Analyst, you’ll empower both strategic decision-making and product development by delivering robust dashboards, insightful analyses, and data-driven recommendations.

• Design, build, and maintain dashboards in Tableau (preferred) or similar tools to deliver clear, actionable insights.
• Extract, clean, and analyze data using SQL and Python from platforms like Snowflake.
• Optimize and scale reporting systems for efficiency and accessibility.
• Monitor product KPIs such as user engagement, feature usage, and success metrics.
• Conduct experiments to guide product decisions and roadmaps.
• Analyze user behavior to assess feature performance and optimize rollouts.
• Partner with product, engineering, and business teams to align analytics with strategic goals.
• Translate business questions into analytical requirements and provide data-driven insights.

The Perfect Match: What It Takes to Succeed at Huspy

• Experience: 5–8 years in data analytics or product analytics.
  
  
• Tools & Technical Skills:
  
  
• Advanced SQL and Python (Pandas, NumPy, Matplotlib)
  
  
• Experience with tools like Tableau, or Looker
  
  
• Familiarity with product analytics tools such as Amplitude (preferred), Mixpanel, or Google Analytics
  
  
• Knowledge of Snowflake, dbt, and Airflow for data warehousing and data pipelines
  
  
• Analytical Strengths:
  
  
• Strong background in hypothesis testing, and regression analysis
  
  
• Proven ability to turn complex data into actionable insights
  
  
• Understanding of ETL and data transformation workflows
  
  
• Soft Skills:
  
  
• Excellent communication skills to explain analytical findings to both technical and non-technical audiences
  
  
• Collaborative mindset and experience working across departments
  
  
• Education: Bachelor’s degree in Statistics, Data Science, Computer Science, or a related field; Master’s degree is a plus.
  
  
• Languages: English proficiency (spoken and written)

The Edge: What Will Make You Stand Out

• Direct experience with our tech stack: Tableau, Amplitude, Snowflake, dbt, Airflow
  
  
• Experience in fast-paced, data-driven environments such as startups or PropTech
  
  
• Strong business acumen with a deep understanding of product and business KPIs