Requirements: English
Company: InPost
Region: Gdansk , Pomeranian Voivodeship
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.
Apache Spark in Databricks, Python\PySpark, SQL, kafka, Power BI, GitLab, Google BigQuery, dbt.
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
fluent in English: verbal and written
It would be awesome if you have:
GCP, Azure, AWS)
familiarity with data visualization tools such as PowerBI/Tableau/Looker
ability to thrive in a highly agile, intensely iterative environment
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. collaborate with cross-functional teams including data engineers, data scientists, and business analysts to deliver integrated data solutions