Data Analyst
Your main responsibilities:
End-to-end analytical support for pricing, selection and commercial initiatives.
Processing and analyzing large, complex datasets,
Monitoring performance indicators (KPIs) and optimizing actions based on results,
Building predictive and explanatory models (e.g., impact of pricing, selection and other factors on KPIs),
Preparing recurring and ad hoc reports for business and management teams.
Developing and implementing strategic recommendations
Analyzing data to identify business and product opportunities,
Preparing recommendations and insights to support strategic decisions,
Actively participating in the implementation of these recommendations in collaboration with business and product teams.
Working with multiple business teams to understand their needs, prioritize actions, and communicate analysis results effectively,
Effectively operating in a fast-changing environment where priorities may shift frequently,
Managing multiple analytical threads simultaneously in an organized manner.
We are looking for people who:
Have at least 2 years of experience analyzing large volumes of data and can combine data from many different sources,
Have excellent and practical knowledge of SQL,
Have good knowledge of Python,
Have experience in creating data visualisations using tools like Tableau or Looker Studio,
Have knowledge of BigQuery, Airflow, and Git (nice to have),
Have experience with cloud solutions (GCP/Azure/AWS),
Can identify problems and propose effective solutions,
Can communicate analysis results and recommendations in an engaging and intuitive way,
Know English at B2 level.
What we offer:
Flexible working hours in an office-first model (4/1) that depend on you and your team. Starting later or finishing earlier? No problem! Work hours keep pace with our lifestyles and can start between 7 a.m. and 10 a.m.,
Well-located office in Warsaw (with fully equipped kitchens and bicycle parking facilities) and excellent working tools (height-adjustable desks, interactive conference rooms),
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,
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.
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Allegro
At Allegro, we build and maintain some of the most distributed and scalable applications in Central Europe. Work with us on e-commerce solutions to be used (and loved) by your friends, family and millions of our customer...
Data Analyst
Data Analyst