- 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).
data modeling
and
implementing complex data-driven solutions
is a strong plus.
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.
- 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
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
