A hybrid work model requires 1 - 2 days a week in the office.
As a Senior 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 create the data warehouse that supports the development of all FinTech services, including Allegro Pay. This position involves close collaboration with Product Managers, Software Engineers, and Data Engineers.
responsibilities :
Design, production, and maintenance of analytical data layer from various business domains
Building data products such as analytical tables and dashboards
Improving data collection processes by specifying new tools
Design analytical entities, considering their most common use cases and the costs of supply and reading
Verify data quality against defined measures
requirements-expected :
Have a minimum of 4 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 many scheduled ETL processes
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 :
A hybrid work model that you will agree on with your leader and the team. We have well-located offices (with fully equipped kitchens and bicycle parking facilities) and excellent working tools (height-adjustable desks, interactive conference rooms)
Annual bonus of up to 10% of the annual salary gross (depending on your annual assessment and the companys results)
A wide selection of fringe benefits in a cafeteria plan – you choose what you like (e.g., medical, sports or lunch packages, insurance, purchase vouchers)
English classes that we pay for related to the specific nature of your job
16" or 14" MacBook Pro with Apple Silicon processor and 36GB RAM and other gadgets that you may need
Working in a team you can always count on — we have on board top-class specialists and experts in their areas of expertise
A high degree of autonomy in terms of organizing your team’s work; we encourage you to develop continuously and try out new things
Hackathons, internal mobile conference - DevDay, team tourism (possibility to work in another team for a while), training budget, and an internal educational platform, MindUp (including training courses on organizational work, means of communications, and various technologies and subject-matter issues)
benefits :
sharing the costs of sports activities
private medical care
sharing the costs of foreign language classes
sharing the costs of professional training & courses
