(Senior) Big Data Analyst

As the Data & AI department, we are looking for (Senior) Big Data Analyst. The successful candidates will join teams that collaborate with areas such as Marketing, Digital, Sales, Operations, or those focused on the development of specific products like InPost Pay and the Loyalty Program. 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. This role spans across Poland and extends to 7 international markets, offering a unique opportunity to impact our global operations significantly. You can work remotely. 

Technologies, you will encounter in your daily work: Apache Spark in Databricks, Python\PySpark, SQL, kafka, Power BI, GitLab, Google BigQuery, dbt. 

Which skills should you bring to the pitch: 

• 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: verbal and written 

It would be awesome if you have: 

• 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 

On a daily basis you will: 

• 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