Your responsibilities

• working with technologies such as: Apache Spark in Databricks, Python\PySpark, SQL, Kafka, Power BI, GitLab, Google BigQuery, dbt.
• 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

Our 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 simultenously
• strong interpersonal skills with the ability to collaborate effectively with cross-functional teams
• fluent in English and Polish: verbal and written
• 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
• positive and solution-oriented mindset

What we offer

• An interesting job in one of the most rapidly growing companies in Poland - a leader in offering modern logistics services

• Development and implementation of projects with global reach

• Subsidized benefits (medical care, Multisport card, life insurance)

• Flexible working hours

• Informal atmosphere and close-knit team

• Competition and fun at joint events, including sports: Runmageddon, Poland Business Run