Senior Product Analyst - Allegro Pay (Machine Learning And Analytics)

ph3Senior Product Analyst - Allegro Pay (Machine Learning and Analytics) /h3 pAzienda : Allegro Tipo Lavoro : Full Time Italy /p h3Descrizione Lavoro - Senior Product Analyst - Allegro Pay (Machine Learning and Analytics) /h3 h3bAbout the team: /b /h3 pAllegro Pay is the largest and fastest-growing fintech in Central Europe - the only place where financial solutions can be created on such a large scale using the latest technologies. We specialize in payment methods used daily by customers of Allegro, the most popular shopping platform in Poland and one of the largest e-commerce companies in Europe. Thanks to this scale, we have the opportunity to work with one of the most interesting data sets in our country, the use of which requires maintaining a high level of data platform. /p pThis role offers more than typical product analytics. You will collaborate with diverse experts - from Data Scientists and Risk Specialists to Software Engineers - gaining a holistic view of the product lifecycle and developing a uniquely broad range of professional skills. /p h3bJob Description: /b /h3 pAs a Senior Product Analyst, you will work on strategic analyzes creating directions for the development of our products and assessing the impact of initiatives on the organization's financial results. At Allegro Pay, analytics is at the heart of our product! /p h3bKey Responsibilities: /b /h3 ul liContribute to creating a strategy and setting the direction of activities in the area of financial services offered on Allegro /li liGive recommendations based on your analysis to the main decision-makers within Allegro (you’ll have a real impact on shaping the customer behavior on our platform) /li liCalculate major financial metrics (e.g., Incrementality of financial products, CLV) while providing full auditability and reliability of data processes /li liCreate new processes based on data while maintaining best practices in the area of software engineering /li liParticipate in the design of business processes using data products and in their production implementation /li /ul pbTechnologies you will encounter in your daily work: Airflow, Python, Snowflake, Snowpark, DBT, SQL, GitHub Actions, Tableau, BigQuery, GitHub Copilot, OpenCode /b /p h3bWe are looking for people who: /b /h3 ul liHave a minimum of 5 years of experience in the role of product/ data analyst or data engineer (experience gained in consulting or financial institution is most welcome) /li liKnow SQL fluently, write complex SQL queries, have experience in SQL query optimization /li liHave some experience in creating dashboards in BI tools (Tableau preferred) /li liCare about repeatability and reusability of code (knowledge of Git is an advantage) /li liHave some experience with Python in data processing and analytics context /li liKnow how to transform data into knowledge, draw conclusions and give insightful recommendations /li liWant to develop both technically and business-wise /li liHave knowledge of experimental design, A/B testing methodologies, and product analytics metrics /li liAre independent, proactive, inquisitive and meticulous, eager to take on new challenges and responsibilities /li liAre real team players - we have a really nice team and we are looking for someone who will get involved in the life of the team /li liKnow Polish and English at least at B2 level /li /ul h3bWhat's in it for you: /b /h3 ul liWell-located offices (with e.g. fully equipped kitchens, bicycle parking, terraces full of greenery) and excellent work tools (e.g., raised desks, ergonomic chairs, interactive conference rooms). /li liA 16\" or 14\" MacBook Pro or corresponding Dell with Windows (if you don't like Macs) and all the necessary accessories. /li liA wide selection of fringe benefits in a cafeteria plan - you choose what you like (e.g., medical, sports or lunch packages, insurance, purchase vouchers). /li liEnglish classes that we pay for related to the specific nature of your job. /li liA training budget, inter-team tourism (see more here), hackathons, and an internal learning platform where you will find multiple trainings. /li liAn additional day off for volunteering, which you can use alone, with a team, or with a larger group of people connected by a common goal. /li liSocial events for Allegro people - Spin Kilometers, Family Day, Fat Thursday, Advent of Code, and many other occasions we enjoy. /li /ul pAnd that's just the beginning! You can read more about the benefits here . /p h3b#goodtobehere means that: /b /h3 ul liYou will join a team you can count on - we work with top-class specialists who have knowledge- and experience-sharing in their DNA. /li liYou will love our level of autonomy in team organization, the space for continuous development, and the opportunity to try new things. You get to choose which technology solves the problem and you are responsible for what you create. /li liYou will value our Developer Experience and the full platform of tools and technologies that make creating software easier. We rely on an internal ecosystem based on self-service and widely used tools such as Kubernetes, Docker, Consul, GitHub, and GitHub Actions. Thanks to this, you can contribute to Allegro from your very first days on the job. /li liYou will be equipped with modern AI tools to automate repetitive tasks, allowing you to focus on developing new services and refining existing ones (also leveraging AI support). /li liYou will create solutions that will be used (and loved!) by your friends, family and millions of our customers. /li liYou will meet the Allegro Scale, which starts with over 1000 microservices, an open-source data bus (Hermes) with 300K+ rps, a Service Mesh with 1M+ rps, tens of petabytes of data, and production-used machine learning. /li liYou will become part of Allegro Tech - We speak at industry conferences, cooperate with tech communities, run our own blog (it's been over 10 years!), record podcasts, lead guilds, and we organize our own internal conference - the Allegro Tech Meeting. We create solutions we love (and can) to talk about! /li /ul h3Informazioni sull'azienda /h3 pAllegro /p pThe Investor Relations website contains information about Allegro's business for stockholders, potential investors, and financial analysts. /p pLeggi di più sull'azienda /p /p #J-18808-Ljbffr