Data Analytics Consultant (m/f/n)

InPost

5d

About The Position

InPost Group’s Data & AI department is hiring Data Analytics Consultants to analyze large volumes of real-time data from diverse systems, including campaign data, product and customer analytics, sales performance, and logistics processes. The role supports InPost Group products and business areas by turning data into insights and recommendations that help stakeholders make data-driven decisions.

The consultant works with business departments and cross-functional teams to gather requirements, analyze data, develop scalable data models and calculations, and prototype visualizations. The role also involves writing maintainable code in line with internal standards and supporting those standards through code reviews. Technologies used include Apache Spark in Databricks, Python/PySpark, SQL, Kafka, Power BI, and GitLab.

Recruitment is ongoing across multiple active openings as the company and its products grow. The company offers a B2B-type contract.

Requirements

• At least 3 years of experience in an analytical role handling vast volumes of data, preferably in Marketing, Logistics, Customer, or Sales domains.
• Strong proficiency in Python/PySpark for data analysis.
• Proficiency in SQL for data processing.
• Experience with Bash scripting to manage Git repositories.
• Ability to draw insightful, actionable conclusions from complex data and communicate recommendations clearly and concisely to business stakeholders.
• Comprehensive understanding 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 and ability to request and handle data from backend and frontend systems, including internal and external platforms.
• Self-motivated and self-managing, able to work independently and coordinate multiple workstreams simultaneously.
• Strong interpersonal skills and ability to collaborate effectively with cross-functional teams.
• Fluency in written and spoken English.

Nice To Haves

• Experience in data modeling and implementing complex data-driven solutions.
• Ability to read or communicate in French.
• Experience working with Apache Spark in Databricks.
• Familiarity with cloud-based data platforms such as GCP, Azure, or AWS.
• Familiarity with modern data-building tools such as Apache Airflow and DBT.
• Familiarity with data visualization tools such as Power BI, Tableau, or Looker.
• Knowledge of data governance principles and practices.
• Ability to thrive in a highly agile, intensely iterative environment.

Responsibilities

• Support stakeholders in making data-driven decisions.
• Work with different InPost departments and business lines.
• Gather requirements and harness large-scale, real-time data from various sources.
• Analyze data and prepare insights and recommendations about business-critical areas and processes.
• Design, develop, and extend data model layers that support optimized, scalable calculations and visualizations.
• Write code that meets internal standards for style, maintainability, and best practices in a high-scale data environment.
• Maintain and advocate for coding standards through code reviews.
• Collaborate with Data Engineers, Data Scientists, Business Analysts, and other cross-functional teams to deliver integrated data solutions.
• Prototype and coordinate data visualizations.

What This Job Offers

• Education Level: No Education Listed