Data Analytics Consultant (m/f/n)

InPost Group is an innovative European out-of-home deliveries company operating across several countries with a network of intelligent lockers (Paczkomat®) providing fast, convenient, and secure parcel delivery. The Data & AI department is seeking Data Analytics Consultants to analyze real-time data from campaigns, product and customer analytics, sales performance, and logistics processes related to InPost Group products. Technologies used include Apache Spark in Databricks, Python/PySpark, SQL, Kafka, Power BI, and GitLab.

• Minimum 3 years of experience in an analytical role handling vast volumes of data, preferably in Marketing, Logistics, Customer, or Sales domains
• Experience in data modeling and implementing complex data-driven solutions is a strong plus
• Strong proficiency in Python/PySpark, SQL, and Bash scripting
• Ability to draw actionable insights from complex data and communicate clearly to stakeholders
• Comprehensive understanding of data warehousing technical aspects, including dimensional modeling and ETL/ELT processes
• Ability to translate business needs into data models
• Strong understanding of real-time data from backend and frontend systems
• Self-motivated and able to manage multiple workstreams independently
• Strong interpersonal skills for effective cross-functional collaboration
• Fluency in English (verbal and written)

Nice to have:

• Ability to read or communicate in French
• Experience with Apache Spark in Databricks
• Familiarity with cloud platforms (e.g., GCP, Azure, AWS)
• Familiarity with modern data building tools like Apache Airflow, DBT
• Familiarity with data visualization tools such as Power BI, Tableau, or Looker
• Knowledge of data governance principles and practices
• Ability to thrive in an agile, iterative environment

• Support stakeholders in making data-driven decisions
• Work with different InPost departments and business lines
• Gather requirements and analyze large-scale, real-time data from various sources
• Prepare insights and recommendations about business-critical areas and processes
• Design, develop, and extend data model layers for optimized and scalable analytics
• Write code adhering to internal standards for style, maintainability, and best practices
• Maintain and advocate coding standards through code reviews
• Collaborate with Data Engineers, Data Scientists, and Business Analysts to deliver integrated data solutions
• Prototype and coordinate data visualizations