Product Data Analyst

  • Full Time
Job expired!

Job Offer Description

Your role would involve:

  • Working on the development of tools, algorithms, and models for monitoring Allegro's selection and price analytics
  • Preparing analyses and dashboards supporting the work with a broad catalog of products and Allegro's assortment
  • Preparing business recommendations based on data, impacting the work of teams
  • Analyzing large data sets in search of regularities and correlations that affect the company's key areas
  • Thanks to the results of your analysis, we can improve both the shopping experience of Allegro customers and the results of our sellers

Why should you work with us?

  • We work on an interesting project requiring the combination of various competencies, both technical and business
  • Our team includes specialists from various fields of data processing - analytics, ML, algorithms, data processing construction
  • Data-driven management is our daily practice and Big Data - a reality, not an empty slogan (several petabytes of data)
  • The collections you will work on fuel hundreds of data processing processes
  • We use an innovative tool ecosystem (SQL, Python, Google Cloud, Spark, Tableau, Druid)
  • We are building a team of data experts who share knowledge at many technology conferences

We are looking for people who:

  • Can identify a problem and propose an effective solution, as well as communicate analysis results and recommendations in an interesting and intuitive way
  • Have at least 2 years of experience in analyzing large volumes of data and can combine data from many different sources
  • Are well-versed in SQL
  • Welcome knowledge of or interest in learning Python
  • Are interested in developing in the area of creating Machine Learning models
  • Know how to select statistical techniques and data visualization methods appropriate to the research problem

We offer:

  • , and apart from that, among others:
  • Modern office and work tools
  • An informal work atmosphere in a professional team
  • A rich package of non-wage benefits in the cafeteria system - you choose what you use
  • English language lessons with a teaching program designed for engineers, paid for by us
  • Training budget, hackathons, team tourism and an internal training platform MindUp