Quality Data Analyst

Casafari
Casafari is a real estate metasearch powered by AI. We bring transparency to the property market.

Job details

Apply now

Sign up to apply

Or sign up to refer and earn a reward of €300

Intro

About CASAFARI


Vision & Mission: 
Casafari solves chaos on a real estate market by bringing transparency with the cleanest and most complete real estate database in the world.


What does our team look like? 
- 3 offices: Lisbon, Budapest, Kharkiv 
- 40+ teammates 
- 20+ nationalities 
- 1 serial company unicorn dog


At CASAFARI we value collaboration, curiosity, ownership, meritocracy, diversity and inclusiveness even more than hard skills. A desire to learn and an eagerness to change the world are what make the difference to us. We’re always looking for people to drive the company towards our vision and who are looking to evolve and grow with us. CASAFARI strives to create an inclusive environment where we learn from each other, work together as a team, support each other and share ideas freely. There are no limits to your imagination. Instead, we encourage you to think outside the box - to be bold and venturing. ‘Fail fast, learn fast’ is our motto.


Your responsibilities

  • Research and discovery of data anomalies
  • Propose algorithms to fix and automatically detect similar errors with new inbound data
  • Preparation and validation of data sets for machine learning
  • Daily work with data scientists, software, ML and data engineering teams.

Main requirements

  • Profound SQL
  • Strong analytical thinking, learning animal and intellectually versatile
  • Ability to take ownership & responsibility of data quality assurance tasks
  • Growth mindset (it is a fast-growing startup)

Perks

  • . Quarterly team events 
    . Office in Bairro Alto, central Lisbon 
    . 250 SQ.M. open terrace 
    . Full support and sponsorship for visa and residence permits 
    . Gym discount 
    . Monthly health weeks 
    . Free gluten free (and sugar-free) healthy snacks 
    . Free daily fruits 
    . Own library of business books

Apply now

Sign up to apply

Or sign up to refer and earn a reward of €300