Senior Data Consultant

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InPost Group

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eCommerce • Transport • Logistics

InPost Group is Europe's leading e-commerce enablement platform, specializing in out-of-home delivery services. Founded in 1999 by CEO Rafal Brzoska, InPost provides cost-effective and environmentally friendly delivery solutions through a robust network of Automated Parcel Machines (APMs) and courier services. The company also offers pick-up drop-off (PUDO) services, enhancing convenience and efficiency for e-commerce merchants across Europe. InPost is committed to sustainability, reducing carbon emissions significantly in its delivery processes. With operations in countries like Poland, France, Benelux, the UK, and Italy, InPost continues to expand its innovative technology solutions to drive long-term growth in the e-commerce sector.

10,000+ employees

🛍️ eCommerce

🚗 Transport

📋 Description

• 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.

🎯 Requirements

• 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 mange multiple tasks simultaneously. • Strong interpersonal skills with the ability to collaborate effectively with cross-functional teams • Fluency in English : verbal and written.

🏖️ Benefits

• Flexible work arrangements • Professional development