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(Senior) Data Analytics Consultant (m/f/n)

InPostPolskaPolska

Źródło:Himalayas
Rodzaj zatrudnienia
Rodzaj zatrudnieniaPełny etat
Doświadczenie
DoświadczenieSenior
Dodano
Dodano27 lipca 2026
Wykryte przez nas
Wykryte przez nas28 lipca 2026
Zarobki
ZarobkiDo uzgodnienia

InPost Group is a leading European out-of-home delivery company, revolutionizing e-commerce logistics through its innovative network of intelligent lockers. The Data & AI department is currently seeking a (Senior) Data Analytics Consultant to join our fully remote team and help drive business decisions through advanced data analysis.

Key responsibilities

  • Support stakeholders by gathering requirements and transforming large-scale, real-time data into actionable business insights.
  • Design, develop, and maintain scalable data model layers to support complex calculations and visualizations.
  • Collaborate with cross-functional teams, including Data Engineers and Scientists, to deliver integrated data solutions.
  • Write high-quality, maintainable code and participate in peer code reviews to ensure adherence to internal standards.
  • Prototype and coordinate data visualizations to communicate findings effectively to business partners.

Requirements

  • Minimum 3 years of experience in an analytical role handling large volumes of data, preferably in logistics, marketing, or sales.
  • Strong proficiency in Python/PySpark for analysis, SQL for data processing, and Bash scripting.
  • Comprehensive understanding of data warehousing, dimensional modeling, and ETL/ELT processes.
  • Proven ability to translate complex business needs into robust data models and communicate recommendations clearly.
  • Fluency in English, both verbal and written, with strong interpersonal skills for effective cross-functional collaboration.

What we offer

  • Opportunity to work with a modern tech stack including Apache Spark, Databricks, Google BigQuery, and DBT.
  • A fully remote work environment within a fast-paced, innovative, and international organization.
  • Engagement in high-impact projects that directly influence the growth and efficiency of global logistics processes.

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