Data Analyst

Huspy; Dubai; On-site; AED 120,000 - 200,000; Full time

Job summary

Huspy, a leading proptech firm in EMEA, seeks a Data Analyst to drive growth by transforming data into insights. You will create dashboards, provide analytical support for product development, and ensure data quality. Ideal candidates have extensive experience in data analytics, proficiency in SQL and Python, and a collaborative mindset. Join us to revolutionize the real estate industry.

Qualifications

• 5–8 years in data analytics or product analytics required.
• Advanced skills in SQL and Python necessary.
• Experience with Tableau and product analytics tools preferred.

Responsibilities

• Design and maintain dashboards to deliver actionable insights.
• Analyze user behavior to monitor product KPIs.
• Collaborate with product and engineering teams on data strategies.

Skills

Data Analytics

SQL

Python

Tableau

Product Analytics

Communication

Education

Bachelor’s degree in Statistics, Data Science, Computer Science

Master’s degree in a related field

Tools

Tableau

Snowflake

Amplitude

Job description

The Story so far: Who we are

Founded in August 2020, Huspy started as a digital mortgage platform and quickly evolved into the largest proptech company in the EMEA region. Backed by leading investors such as Sequoia, Balderton, Founders Fund, and Olayan, we have experienced rapid growth with offices in Dubai, Abu Dhabi, Madrid, and Valencia. Our mission is to revolutionize the real estate industry by building an all-in-one super app designed to empower agents and mortgage brokers.

The Main Event: What You’ll Do

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

Key Responsibilities:

• Data Analytics
• 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.
  
  
• Product Analytics & Strategy
• 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.
  
  
• Cross-Functional Collaboration
• Partner with product, engineering, and business teams to align analytics with strategic goals.
  
  
• Translate business questions into analytical requirements and provide data-driven insights.
  
  
• Data Quality & Documentation
• Ensure accuracy and integrity of data and analytics platforms.
  
  
• Maintain documentation for Data tools, dashboards, and data definitions.
  
  

The Perfect Match: What You Bring

• 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)
  
  

What Will Set You Apart

• 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