Перенесена в архив: Data Analyst/Engineer

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A world's largest luxury marketplace, serving the needs of High-Net-Worth Individuals (HNWIs) in life's most valuable transactions is looking for a Data Analyst/Engineer.

Responsibilities:

  • Load data from different data sources into our data warehouse using ETL processes. 
  • Maintain our data collection and storage infrastructure. 
  • Make sure that we collect correct data, consistently across our different data sources (web, database, marketing) by maintaining and implementing proper systems and processes.
  • Lead improvements of our data infrastructure by setting up new tools and services.
  • Develop machine learning models in collaboration with Product that improve the user experience (price estimates, ranking models, recommendations, personalization). 

Requirements:

  • 3+ years in a data engineering/scientist role in a digital company (preferably marketplace or eCommerce).
  • University degree in Mathematics, Business Analytics, Computer Science or similarly quantitative field.
  • Professional working proficiency in English.
  • Expertise in ETL processes (preferably Airflow).
    • Experience from web scraping and data mining.
  • Experience from UNIX/Linux systems (at least basic).
  • Knowledge in Python (necessary).
    • Knowledge of Jupyter notebooks is preferable.
  • Basic knowledge of Machine Learning models (regression models; advanced models, such as deep learning, are not necessary).
  • SQL (necessary).
    • Basic operations like joins, subqueries, ETL operations (search and filtering operations, etc.).
  • Data visualization.
    • Tableau or PowerBI preferable.
  • Expertise in Git operations (version control system).
  • Product analytics.
    • Google Analytics or Mixpanel (preferable, but not necessary).
  • A/B-testing on web.
    • Setting up dashboards for experiments and analyzing results.
  • Organized approach to multiple parallel tasks and used to tight deadlines.
  • Proactive and independent approach to work.
  • High attention to detail.
  • Good communicator, especially written.

 

Send your CV to hr@digitalhr.ru

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hr@digitalhr.ru