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Data Analytics Consultant (m/f/n)

InPostPolskaPolska

Źródło:Himalayas
Rodzaj zatrudnienia
Rodzaj zatrudnieniaPełny etat
Doświadczenie
DoświadczenieSenior
Dodano
Dodano3 września 2026
Wykryte przez nas
Wykryte przez nas4 września 2026
Zarobki
ZarobkiDo uzgodnienia

InPost Group is an innovative European out-of-home deliveries company, revolutionizing the way parcels are delivered to customers. The Data & AI department is currently seeking talented Data Analytics Consultants to join our team and help us scale our operations by turning complex data into actionable business insights.

Key responsibilities

  • Support stakeholders in making data-driven decisions by gathering requirements and analyzing large-scale, real-time data.
  • Design, develop, and extend data model layers to support scalable calculations and visualizations.
  • Craft high-quality, maintainable code that meets internal standards for a high-scale data environment.
  • Collaborate with cross-functional teams, including Data Engineers and Data Scientists, to deliver integrated solutions.
  • Prototype and coordinate data visualizations to communicate findings clearly 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, and SQL for data processing and analysis.
  • Comprehensive understanding of data warehousing, dimensional modeling, and ETL/ELT processes.
  • Proven ability to translate complex business needs into effective data models.
  • Fluency in English, both verbal and written, with strong interpersonal skills.

What we offer

  • A B2B type of contract within a rapidly growing, innovative international organization.
  • The opportunity to work with modern technologies such as Apache Spark, Databricks, Kafka, and cloud-based platforms.
  • A fully remote work environment that supports independent, self-managed professionals.
  • Participation in an ongoing recruitment process within a dynamic, agile, and intensely iterative team.

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