As a Product Analyst in our Data Product Management team, you will play a crucial role in producing analytical data models and managing analytical events using the data mesh methodology. You will also co-create the data warehouse that supports the development of all FinTech services, including Allegro Pay. This position involves close collaboration with Senior Product Analysts, Software Engineers, and Data Engineers.
Technologies, you will encounter in your daily work: Airflow, Python, Snowflake, Snowpark, DBT, SQL, Azure DevOps, GitHub Actions, Tableau
responsibilities :
Supporting the design, production, and maintenance of analytical data layer from various business domains
Building data products such as analytical tables and dashboards
Analyzing and adjust data collection processes within product subdomains
Designing analytical entities, considering their most common use cases and the costs of supply and reading
Verifing data quality against defined measures
requirements-expected :
We are looking for people who:
Have a minimum of 2 years of experience in the role of data analyst or data engineer
Analyzed complex customer processes and are able to visualize results in BI tool
Implemented at least one scheduled ETL process
Are interested in technical aspects associated with data modeling, processing, storage and aggregation
Know SQL fluently, writes complex SQL queries, has experience in SQL query optimization
Have worked with Python in data processing and analytics context
offered :
Ambitious challenges that allow for the development of technical and business skills - we use our knowledge and talent to perform complex tasks efficiently and from start to finish
Hybrid work model - one day in the office, you’re welcome to come more often. We have a well-located office at Fabryka Norblina (with fully equipped kitchens and a wide choice of lunch places in the food zone) and excellent equipment (e.g. height-adjustable desks, interactive conference rooms, high performance dev laptops like MacBook Pro)
A generous package of non-salary benefits in the cafeteria system – you choose what you benefit from (we offer a range of options including m.in. medical, sports, lunch, insurance, shopping vouchers)
English language lessons paid by us and focused on the specifics of your work
A dedicated training budget and an internal training platform MindUp
benefits :
sharing the costs of sports activities
private medical care
sharing the costs of foreign language classes
sharing the costs of professional training & courses
