Senior Data Analytics Consultant (Logistics)

TL;DR

Senior Data Analytics Consultant (PySpark/SQL): Analyzing large-scale real-time data from diverse systems to support data-driven decision-making with an accent on data modeling, ETL processes, and business-critical insights. Focus on designing scalable data model layers and delivering integrated data solutions across logistics and sales domains.

Location: Pana Tadeusza 4, 30-727 Kraków, Poland

Company

hirify.global is an innovative European out-of-home deliveries company redefining e-commerce logistics through a network of intelligent lockers.

What you will do

• Support stakeholders in making data-driven decisions across different business lines.
• Gather requirements and analyze large-scale real-time data from various sources to prepare insights and recommendations.
• Design, develop, and extend data model layers for optimized and scalable calculations and visualizations.
• Write maintainable code following internal standards and advocate for quality through code reviews.
• Collaborate with Data Engineers, Data Scientists, and Business Analysts to deliver integrated data solutions.
• Prototype and coordinate data visualizations for business critical areas.

Requirements

• Minimum 3 years of experience in an analytical role handling vast volumes of data (Marketing, Logistics, Customer, or Sales domains preferred).
• Strong proficiency in Python/PySpark for data analysis and SQL for data processing.
• Comprehensive understanding of data warehousing, dimensional data modeling, and ETL/ELT processes.
• Ability to translate complex business needs into technical data models.
• Proficiency in Bash scripting for managing Git repositories.
• Fluency in English: verbal and written.

Nice to have

• Ability to read or communicate in French.
• Experience with Apache Spark in Databricks and cloud platforms (GCP, Azure, AWS).
• Familiarity with modern data tools like Apache Airflow, DBT, and visualization tools (Power BI, Tableau, Looker).
• Knowledge of data governance principles and practices.

Culture & Benefits

• Opportunity to work in a highly agile and iterative environment.
• Access to a modern tech stack including Databricks, Kafka, and PySpark.
• Professional growth within the Data & AI department of a market-innovating company.
• B2B type of contract.