As a Data analyst intern (User applications), you will be a member of the Product Development team and be in close collaboration with the Product Manager and Software Engineers, working to develop end-user applications and alerts to support decision-making of real estate asset managers. This requires you to communicate about findings, learnings, workflows and best practices clearly and efficiently.

Primary responsibilities of a Data analyst intern (User applications) are:

• Product-driven data analysis and visualization: Analyze raw and staged data (e.g., IoT, financial, ESG data), compute KPIs, develop dashboards, identify trends and provide insights to our stakeholders

• Product design: Understand business needs and define the scope of the proposed solution with Product Managers and support application redesign

• Data processing: Define precise data querying, data model and specifications of the data processing algorithms for our data engineers

• Continuous product improvement: Identify, assess, and fix issues in our products and conduct research to make more efficient our product development process

• You are enrolled in the last year of a master’s program in a quantitative discipline (e.g., data analytics, statistics, economics, computer science, mathematics, electrical engineering, industrial engineering) or a related field

• You have experience using business intelligence tools (e.g., Power BI, Tableau)

• You have experience with relational databases, SQL and dbt

• You have exposure to data analysis programming languages (e.g., Python, R)

• You have effective written and verbal communication skills, and you are able to transform business needs across different squads

• You are able to work in a team, review work done by others, and give constructive feedback

• You pay attention to detail and you have a strong focus on the accuracy of obtained results

• You have written and spoken fluency in English, any other European language is a plus

• Academic or industrial experience in a real estate or investment related field is a bonus

1. Data analyst assessment (online form, 20 to 30 minutes)

2. Resume interview, company and position presentation (video call, 30 minutes)

3. Technical assessment: home assignment plus 2-hour interview (face-to-face or video call)

4. Fit interviews with various members of the team (face-to-face or video call)