Tasks
You will be responsible for the analytical preparation and execution of campaigns, including selecting the product range and choosing prices that offer buyers attractive and competitive terms. You will analyse large datasets, identify patterns and relationships, and turn your findings into recommendations supporting key business decisions. You will work with managers and business teams, providing data, recommendations and ongoing analytical support. You will develop and optimise processes and tools supporting campaign preparation and execution. You will monitor key performance indicators (KPIs), analyse changes in them and identify areas for improvement.
Requirements
•You have experience analysing large volumes of data in an e-commerce environment.
•You can identify a problem, draw sound conclusions and propose a solution.
•You are comfortable with repetitive tasks and processes, ensuring their accuracy, timeliness and quality.
•You can spot opportunities to automate and improve repetitive processes.
•You have practical knowledge of data engineering: you can combine data from many different sources, prepare and transform datasets, validate them and build repeatable data processing workflows.
•You are meticulous, independent and inquisitive.
•You can communicate analytical results and the recommendations arising from them in an engaging and intuitive way.
•You have very good knowledge of SQL and Python.
Nice to have: Knowledge of GCP, BigQuery, Airflow and Git will be an additional advantage.
Conditions
•Flexible working hours in a hybrid model (4/1) — working hours can start between 7:00 and 10:00.
•30 days of occasional remote work available.
•An annual bonus dependent on your annual performance review and the company's results.
•Well-located offices (including well-equipped kitchens and bicycle parking) and excellent work equipment (e.g. height-adjustable desks, ergonomic chairs and interactive meeting rooms).
•A 16-inch or 14-inch MacBook Pro, or an equivalent Dell with Windows if you prefer, plus all useful accessories.
•A broad package of non-salary benefits through a cafeteria system — you decide what to use (options include medical and sports packages, lunch benefits, insurance and shopping vouchers).
•English classes paid for by the company, focused on the specifics of your work.
•A training budget, inter-team tourism, hackathons and an internal learning platform with courses on various topics.
•A day off for volunteering, which you can use on your own, with your team or with a larger group of people united by a common goal.
•Company special events — Kręć Kilometry, Family Day, Fat Thursday, Advent of Code and many other occasions that are celebrated.
•You will join a team of specialists who share knowledge and experience.
•Autonomy within the team, room to grow and the opportunity to try new things.
•You choose the technology that fits the problem and take responsibility for it.
•Access to Developer Experience platforms and tools, with an internal ecosystem based on self-service tools and widely used technologies such as Kubernetes, Docker, Consul, GitHub and GitHub Actions.
•Modern AI tools that let you automate repetitive tasks and focus on creating new services and improving existing ones.
•Allegro's scale: over 1,000 microservices, the open-source data bus Hermes handling over 300K rps, a Service Mesh handling over 1M rps, tens of petabytes of data and machine learning used in production.
•Part of Allegro Tech — conference talks, community work, a blog running for over 10 years, podcasts, guilds and an internal conference, Allegro Tech Meeting.
