Closely support stakeholders in making data-driven decisions.
Work with different InPost departments and business lines.
Gather requirements, harness large-scale, real-time data from various sources, analyze it and, prepare insights and recommendation about business critical areas and processes.
Design, develop, and extend our data model layers that support optimized and scalable calculations and visualizations of successful analytics outcomes.
Craft code that meets our internal standards for style, maintainability, and best practices for a high-scale data environment. Maintain and advocate for these standards through code reviews.
Collaborate with cross-functional teams including Data Engineers, Data Scientists, and Business Analysts to deliver integrated data solutions.
Prototype and coordinate data visualizations.

Min 3 years of experience in an analytical role handling vast volumes of data in (preferably in domains such as Marketing, Logistics, Customer or Sales).
Strong proficiency in Python/PySpark for data analysis, SQL for data processing, Bash scripting to manage Git repositories.
Proven ability to pull insightful and actionable conclusions from complex data and communicate recommendations to business stakeholders clearly and concisely.
Comprehensive understanding of the technical aspects of data warehousing, including dimensional data modeling and ETL/ELT processes.
Ability to translate business needs into data models.
Strong understanding of real-time data: ability to request and handle data from both backend and frontend systems, including internal and external platforms.
Self-motivated and self-managing, with the ability to work independently and coordinate multiple workstreams simultaneously.
Strong interpersonal skills with the ability to collaborate effectively with cross-functional teams
Fluency in English: verbal and written.

InPost Group is hiring a (Senior) Data Analytics Consultant (m/f/n)