<p><strong>InPost Group is an innovative European out-of-home deliveries company, revolutionizing the way parcels are delivered to customers.</strong> With operations across several countries, our network of intelligent lockers (Paczkomat®) provides customers with a fast, convenient, and secure delivery option. Our mission is to provide best-in-class user experience for merchants and consumers. "Simplify everything" – redefining e-commerce logistics. We work by innovating the market with constant technological research and with meticulous attention to the customer.</p><p><strong>The Data & AI department is seeking (Senior) Data Analytics Consultants to join our Team.</strong> In this role, you will be responsible for analyzing vast volumes of real-time data from diverse systems, including campaigns data, product and customer analytics, sales performance, logistics processes, and similar topics relative to InPost Group products.</p><p><strong>Technologies, you will encounter in your daily work:</strong> Apache Spark in Databricks, Python\PySpark, SQL, Kafka, Power BI, GitLab.<br>  </p><p><strong>Why is this role always open?</strong></p><p>Because our growth doesn't slow down! 🚀 <strong>This is an ongoing recruitment process supported by multiple active openings across our teams</strong>. As our products and business continue to scale, we're constantly looking for talented people who want to grow with us.</p><p><strong>On a daily basis you will:</strong></p><ul><li>Closely support stakeholders in making data-driven decisions.</li><li>Work with different InPost departments and business lines.</li><li>Gather requirements, harness large-scale, real-time data from various sources, analyze it and, prepare insights and recommendation about business critical areas and processes.</li><li>Design, develop, and extend our data model layers that support optimized and scalable calculations and visualizations of successful analytics outcomes.</li><li>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.</li><li>Collaborate with cross-functional teams including Data Engineers, Data Scientists, and Business Analysts to deliver integrated data solutions.</li><li>Prototype and coordinate data visualizations.</li></ul><p><strong>Which skills should you bring to the pitch:</strong></p><ul><li><strong>Min 3 years of experience in an analytical role</strong> handling vast volumes of data in (preferably in domains such as Marketing, Logistics, Customer or Sales).</li><li>Experience in<strong> data modeling</strong> and <strong>implementing complex data-driven solutions</strong> is a strong plus.</li><li>Strong <strong>proficiency in Python/PySpark for data analysis</strong>, <strong>SQL for data processing</strong>, <strong>Bash scripting</strong> to manage Git repositories.</li><li>Proven ability to pull insightful and actionable conclusions from complex data and communicate recommendations to business stakeholders clearly and concisely.</li><li>Comprehensive <strong>understanding of the technical aspects of data warehousing</strong>, including dimensional data modeling and <strong>ETL/ELT processes.</strong></li><li><strong>Ability to translate business needs into data models.</strong></li><li>Strong <strong>understanding of real-time data:</strong> ability to request and handle data from both backend and frontend systems, including internal and external platforms.</li><li>Self-motivated and self-managing, with the ability to work independently and coordinate multiple workstreams simultaneously.</li><li>Strong interpersonal skills with the ability to collaborate effectively with cross-functional teams</li><li><strong>Fluency in English</strong>: verbal and written.</li></ul><p><strong>It would be awesome if you have:</strong></p><ul><li><strong>Ability to read or communicate in French.</strong></li><li>Experience in working with Apache Spark in Databricks.</li><li>Familiarity with cloud-based data platforms (e.g. GCP, Azure, AWS).</li><li>Familiarity with modern data building tools like Apache Airflow, DBT.</li><li>Familiarity with data visualization tools such as PowerBI/Tableau/Looker.</li><li>Knowledge of data governance principles and practices.</li><li>Ability to thrive in a highly agile, intensely iterative environment.</li></ul><p><strong>We offer B2B type of contract</strong></p><ul></ul><ul></ul>