Senior Data Analyst

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 

Our Data team is at the heart of our decision-making, providing the insights and infrastructure to fuel growth and innovation. Join us to play a vital role in transforming data into actionable intelligence at Huspy!

You’ll join Huspy’s Data team as a Data Analyst with a focus on Business Intelligence, where you’ll support business units by delivering actionable insights and creating impactful reports. Your work will be crucial in helping teams make data-driven decisions, optimize performance, and align with Huspy’s business objectives. You will take ownership of BI tools and dashboards, ensuring data quality and reliability for stakeholders across the organization.

Responsibilities:

• Develop and Maintain BI Dashboards: Design, build, and maintain dashboards and reports in Tableau (preferred) or similar BI tools, ensuring they provide clear and actionable insights for business stakeholders.
• Data Extraction and Analysis: Use SQL and other data extraction tools to gather, clean, and analyze data from various sources, including Snowflake.
• Collaborate with Stakeholders: Work closely with business, product, and engineering teams to understand their data needs, translating business questions into analytical requirements and solutions.
• Optimize Reporting: Continuously enhance reporting systems for scalability and efficiency, ensuring reports are easy to access, interpret, and act upon.
• Support Data-Driven Decisions: Provide insights and recommendations based on data analysis to support decision-making and performance optimization.
• Ensure Data Quality: Implement quality checks and maintain data accuracy across BI systems, working with data engineering to resolve any data issues.
• Document BI Processes: Create and maintain documentation for BI processes, data definitions, and dashboard usage guidelines to support consistency and transparency.

The Perfect Match: What you bring

• Educational Background: Bachelor’s degree in a relevant field (e.g., Statistics, Data Science, Business Analytics). A Master’s degree is a plus.
• Experience: Minimum of 5 years of experience in a data analytics or BI-focused role.
• BI and Visualization Expertise: Strong proficiency in BI tools such as Tableau (preferred), Power BI, or Looker, with the ability to create visually compelling and easy-to-navigate dashboards.
• Technical Proficiency: Advanced SQL skills for data extraction and manipulation; familiarity with data platforms like Snowflake (preferred) is beneficial.
• Data Analysis and Reporting Skills: Experience in conducting data analysis and generating insights to support business needs, including KPI tracking and performance reporting.
• ETL Skills: Familiarity with ETL processes for data preparation, ensuring clean, accurate, and well-organized data for analysis.
• Attention to Detail: Strong commitment to accuracy, with the ability to identify and correct data discrepancies.
• Communication Skills: Ability to communicate complex findings clearly and effectively to both technical and non-technical stakeholders.
• Collaborative Spirit: Experience working cross-functionally, especially with product, engineering, and business teams to align data insights with business strategies.

What will set you apart

• Experience with Our Tool Stack: Hands-on experience with Tableau, Snowflake, db, and Airflow is a strong plus.
• Advanced Analytical Knowledge: Proficiency in Python or R for advanced data analysis and modeling.
• Experience in Data-Driven Organizations: Previous experience in a fast-paced, data-centric environment where BI plays a strategic role in decision-making.
• Business Acumen: Strong understanding of business processes, KPIs, and metrics relevant to the PropTech or startup sector.