Data Analytics Consultant (m/f/n)

On a daily basis you will: • 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. Which skills should you bring to the pitch: • 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). • Experience in  data modeling  and  implementing complex data-driven solutions  is a strong plus. • 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. It would be awesome if you have: • Ability to read or communicate in French. • Experience in working with Apache Spark in Databricks. • Familiarity with cloud-based data platforms (e.g. GCP, Azure, AWS). • Familiarity with modern data building tools like Apache Airflow, DBT. • Familiarity with data visualization tools such as PowerBI/Tableau/Looker. • Knowledge of data governance principles and practices. • Ability to thrive in a highly agile, intensely iterative environment. We offer B2B type of contract