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

• Dashboard Development: Build and maintain Tableau (preferred) or similar dashboards with clear, actionable insights.
• Data Analysis: Extract, clean, and analyze data using SQL/Python from Snowflake and other platforms.
• Reporting & Optimization: Streamline reporting systems for efficiency and accessibility.
• Product Insights: Monitor KPIs, analyze user behavior, and assess feature performance.
• Experimentation: Design and run experiments to guide product decisions and roadmaps.
• Collaboration: Partner with product, engineering, and business teams to align analytics with strategic goals.

The Perfect Match: What It Takes to Succeed at Huspy

• Proven Experience: 4–8 years in data and product analytics, delivering actionable insights.
• SQL & Python Mastery: Advanced with Pandas, NumPy, Matplotlib for analysis and visualization.
• BI & Product Analytics: Tableau/Looker expert; Amplitude (preferred), Mixpanel, Google Analytics.
• Modern Data Stack: Hands-on with Snowflake, dbt, Airflow for warehousing and pipelines.
• Analytical Strength: Hypothesis testing, regression analysis, ETL workflows.
• Excellent Communicator: Clear with both technical and non-technical stakeholders.
• Academic Background: Bachelor’s in Stats/Data (Master’s a plus).