Junior Data Analyst
PriceHubble, Austria
Job Description
PriceHubble is a PropTech company with over 150 employees, set to radically improve the understanding and transparency of real estate markets based on data-driven insights. We aggregate and analyse a wide variety of data, run big data analytics and use state-of-the-art machine learning to generate high-quality valuations and predictive analytics for the real estate market. We are headquartered in Zürich, with offices in Berlin, Hamburg, Prague, Paris, Vienna and Tokyo. We work on international markets and we are backed by world-class investors. We have a startup environment, low bureaucracy, and an international team and business.
Your role
As a member of the Value Team, you are the interface between your team and the business/product teams to gain an in-depth understanding of the local real estate markets. Therefore you will work closely with data scientists and software engineers on improving real estate valuation models and make sure those models are reaching our high-quality standards. Additionally, you will work together with product managers and clients on specific projects, where you will perform quantitative analyses on real estate portfolios.
You will enjoy this opportunity if:
- You have good communication skills. You will contribute to present results and provide valuable insights to our clients.
- You are keen on understanding the real-estate business. You will need to understand what our customers are looking for in order to decide which insights should be given to them.
- You are structured amp; organised, thus effective in orchestrating efforts and secure delivery.
Responsibilities:
- Perform quantitative analyses on real estate portfolio data.
- Contribution to high-quality client-facing presentations.
- Bridge the knowledge gap between technical and commercial teams/clients to help to define and to improve Value Team products.
- Identify and understand modeling issues by creating high quality benchmark datasets.
- Assessing dataset quality through proper visualizations and statistical computations.
- Analysing client model input and identifying usage patterns.
Requirements
- BSc or MSc in a quantitative field such as Economics, Finance, Statistics, Computer Science or Mathematics.
- Interest and understanding of the real estate market and urban related data.
- Proficiency in Python, and familiarity with Jupyter Notebook / Pandas environment / data visualization (i.e. matplotlib, seaborn or similar).
- Ability to work with databases (i.e. SQL). Experience with spatial DBs is a plus (e.g., PostGIS).
- Good understanding of basic data structures and algorithms.
- Understanding of core machine learning concepts.
- Open and data-driven mindset.
- Curious to work in an international environment.
- Ability to translate complex contexts into clear requirements.
- Comfortable working in English; you have a great read and good spoken command of it. German is a plus.
Benefits
On top of joining a team of ambitious, qualified people you may also enjoy our benefits:
Flexible work hours
Competitive salary
Casual dress code
Lamp;D program
Well-located offices
Free snacks, fruits, coffee, beers, sodas