Senior Data Analyst (Revenue Analytics)

<h3>Opis oferty pracy</h3><p>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.</p><p>We do all of this to keep a balanced, healthy ecosystem for our Merchants, keeping in mind our revenue. </p><p><strong>What will your job involve?</strong></p><ul><li><p>You will manipulate large data sets, preparing analyses, forecasts and recommendations related to revenue streams of the whole Allegro group</p></li><li><p>You will take part in creating strategies and new business processes that will have a real impact on the operation of the entire company</p></li><li><p>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</p></li><li><p>You will analyze the results of our activities, design tests and look for treasures hidden in our data</p></li></ul><p><strong>Why should you work with us?</strong></p><ul><li><p>Big Data is not an empty slogan for us, but a reality (several petabytes of data) - you will work on really large data sets</p></li><li><p>We use the latest and best available technologies, such as: (Py)Spark, BigQuery, Dataproc, Composer, DataStudio/LookerStudio, PubSub</p></li><li><p>We are a well-coordinated team that works well</p></li><li><p>We are expanding our activities to European markets. And that means even more data and more complex challenges</p></li></ul><p><strong>We offer:</strong></p><ul><li><p><strong>A hybrid work model. </strong>Well-located offices (with fully equipped kitchens and bicycle parking facilities) and excellent working tools (height-adjustable desks, interactive conference rooms)</p></li><li><p><strong>Annual bonus </strong>up to 10% of the annual salary gross (depending on your annual assessment and the company's results)</p></li><li><p><strong>A wide selection of fringe benefits in a cafeteria plan </strong>– you choose what you like (e.g. medical, sports or lunch packages, insurance, purchase vouchers)</p></li><li><p>English classes that we pay for related to the specific nature of your job</p></li><li><p>Working in a team you can always count on — we have on board top-class specialists and experts in their areas of expertise</p></li><li><p><strong>A high degree of autonomy in terms of organizing your team’s work; </strong>we encourage you to develop continuously and try out new things</p></li><li><p>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)</p></li><li><p>If you want to learn more,<a href="https://jobs.allegro.eu/benefits/"> check it out</a></p></li></ul><p><strong>We are looking for people who:</strong></p><ul><li><p>Have at least 3 years of experience as a data analyst (experience in the e-commerce / financial / consulting industry will be a value)</p></li><li><p>Have experience in processing and analysis (SQL or Python) of large data sets</p></li><li><p>While delving into the data, they do not lose sight of the business. They are able to independently explore issues and draw conclusions</p></li><li><p>Have practical experience in data visualization (Tableau / Looker Studio)</p></li><li><p>They have a “glass half full” approach - they think about solutions, not problems</p></li><li><p>Communicate effectively in English B2 level (oral and written)</p></li><li><p>Practical knowledge of the cloud (especially GCP) and code management (e.g. Git) is desirable</p></li></ul><p><strong>Send in your CV and see why it is #dobrzetubyć (#goodtobehere)</strong></p>