Senior Data Analyst (Revenue Analytics)

Opis oferty pracy

In Revenue Management we take care of Allegro’s revenue streams. We define and optimize commission price lists, create budgets and forecasts. We co-create operational, technical flows and company wide strategies. We use sophisticated analytical and statistical tools that allow us to  dig into petabytes of data to draw from them meaningful conclusions.

We do all of this to keep a balanced, healthy ecosystem for our Merchants, keeping in mind our revenue. 

What will your job involve?

• You will manipulate large data sets, preparing analyses, forecasts and recommendations related to revenue streams of the whole Allegro group

• You will take part in creating strategies and new business processes that will have a real impact on the operation of the entire company

• You will develop analytical tools to support business recipients in generating new insights from data and facilitating decision-making processes in Revenue Management, Category Management, Finance, Strategy and more

• You will analyze the results of our activities, design tests and look for treasures hidden in our data

Why should you work with us?

• Big Data is not an empty slogan for us, but a reality (several petabytes of data) – you will work on really large data sets

• We use the latest and best available technologies, such as: (Py)Spark, BigQuery, Dataproc, Composer, DataStudio/LookerStudio, PubSub

• We are a well-coordinated team that works well

• We are expanding our activities to European markets. And that means even more data and more complex challenges

We offer:

• A hybrid work model. Well-located offices (with fully equipped kitchens and bicycle parking facilities) and excellent working tools (height-adjustable desks, interactive conference rooms)

• Annual bonus up to 10% of the annual salary gross (depending on your annual assessment and the company’s 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

• 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

• Training budget and an internal educational platform, MindUp (including training courses on work organization, means of communications, motivation to work and various technologies and subject-matter issues)

• If you want to learn more, check it out

We are looking for people who:

• Have at least 3 years of experience as a data analyst (experience in the e-commerce / financial / consulting industry will be a value)

• Have experience in processing and analysis (SQL or Python) of large data sets

• While delving into the data, they do not lose sight of the business. They are able to independently explore issues and draw conclusions

• Have practical experience in data visualization (Tableau / Looker Studio)

• They have a “glass half full” approach – they think about solutions, not problems

• Communicate effectively in English B2 level (oral and written)

• Practical knowledge of the cloud (especially GCP) and code management (e.g. Git) is desirable

Send in your CV and see why it is #dobrzetubyć (#goodtobehere)