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September 17, 2026

Data Analytics Consultant

Mid • Remote

Warsaw, Poland

Quick Facts

  • Role: Data Analytics Consultant

  • Work mode: Remote

  • Engagement: Full-time (B2B or UoP)

Description

You will collaborate with business stakeholders to support data-driven decisions and turn business requirements into scalable data models, analytics, and actionable insights. The role includes analyzing large datasets, designing and maintaining data models and processing pipelines, and supporting reporting and analytics across the data lifecycle.

Responsibilities

  • Work with business stakeholders to support data-driven decisions

  • Collect and analyze business requirements and translate them into analytical solutions

  • Analyze large volumes of data from multiple sources

  • Design, develop, and maintain data models supporting reporting and analytics

  • Create and optimize data processing processes/pipelines

  • Prepare business recommendations based on performed analyses

  • Collaborate with Data Engineers, analysts, and other technology teams

  • Support the development of the data environment and data modeling best practices

Requirements

  • Minimum 3 years of experience in a role related to data analytics, BI, or data consulting

  • Very good SQL

  • Very good Python (PySpark is a plus)

  • Practical experience with data modeling

  • Experience with at least one platform: Databricks or Snowflake

  • Knowledge of data warehousing concepts and ETL/ELT processes

  • Ability to translate business requirements into data solutions

  • Experience working with large datasets

  • Communicative English (minimum B2)

Benefits

  • Direct employment by the client (Antal)

  • Attractive compensation and long-term collaboration focus

  • Work on the development of modern data solutions in a large organization

  • Collaboration with an experienced Data & Analytics team

  • Participation in projects covering the full lifecycle of data

  • Real impact on the direction of products and business processes

  • Flexible work model and attractive cooperation terms

  • Access to a modern technology stack and opportunity to further develop skills

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