About the role
Job Description
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.
Qualifications
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.
Additional Information
We offer B2B type of contract