Lidl e-commerce logó

Senior Data Analyst (m/w/d)

Állás részletei

  • Cég neve

    Lidl e-commerce

  • Munkavégzés helye

    Németország
  • Munkaidő, foglalkoztatás jellege

    • Teljes munkaidő
    • Általános munkarend
  • Elvárt technológiák

    • PYTHON SQL GIT CLOUD
  • Elvárások

    • Angol középfok
    • 1-3 év tapasztalat
    • Középiskola
Állás elmentve
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Állás leírása

Responsibilities

As a digital system provider for Lidl's online business, we at Lidl e-commerce create efficient, scalable digital products and services and develop them further for the future. As a brand of the IT and digital division Schwarz Digits, our divisions are divided into Commerce Platforms, Marketing Tech & Enablement, Payment, New Digital Business Models and SCRM Loyalty Platforms.

Requirements

  • Perform exploratory data analysis on large datasets to identify inconsitencies, trends & anomalies
  • Building ETL pipelines & curate data following medallion architecture
  • Ensuring data quality & integrity: design and implement robust data quality frameworks, including unit tests and automated schema checks
  • Apply statistical methods & techniques to answer business questions
  • Experience with Databricks and Snowflake platforms
  • Strong proficiency in SQL (nice to have), PySpark and Python (must have)
  • Proficiency with local development tools including VSCode, PyCharm, and Git
  • Experience in building reports
  • Being able to work with or in a setup with: CI/CD, Unit & Integration Tests, Code Quality Tools , Vulnerability Scans
  • Working in Cloud Environments

Company info

  • Minimum 8 years of experience as a data or BI analyst
  • Demonstrated ability in stakeholder communication and management
  • Experience working with Agile methodology
  • Ability to work flexibly and independently
  • Experience in creating and maintaining project documentation
  • Good understanding of related data disciplines (e.g. data engineering, data science)
  • Ability to understand, analyze and translate business requirements into data-driven solutions
  • Enthusiasm for collaboration, knowledge sharing and joint learning
  • Very good English skills - German is a plus at minimum B1 level.

How to apply

You can submit your application on the company's website, which you can access by clicking the „Apply on company page“ button.

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