Manager, Data – Catalog ML & Data Analytics

In the area of Product Catalog we are changing the way customers engage with Allegro, by introducing product based experience to every critical area of the platform. Such a big change requires constant work on the quality of solutions as we need to keep customer trust. Our team provides analysis, statistical algorithms and machine learning models that contribute to automation of processes responsible for solving data quality and business related problems (detection of duplicates, misclassification of products, low quality products, offer grouping).

Expectations
We are looking for a candidate for the position of Manager, Data to manage a team of Data Analysts. Your responsibilities will include gathering information, preparing analyses and analytical products (algorithms, ML, automations), and collaborating with process owners to develop optimal solutions for a given area. Your contribution will be crucial to the companys strategy, relying on the analysis of large volumes of data, utilizing statistical techniques and data visualization methods (Looker Studio, Tableau).

What we also expect from you

• The ability to communicate analysis results and recommendations clearly
• The ability to own projects/topics, identify problems and propose effective solutions
• Collaboration skills with various stakeholders
• Team management skills, with a focus on team development
• Experience in SQL (preferably GCP)
• Knowledge of Python will be an additional advantage
• Self-organization and a commitment to meeting deadlines
• Proficiency in English at a minimum B2 level

What we offer

• A hybrid work model that you will agree on with your leader and the team. We have 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 20% of the annual salary gross (depending on your annual assessment and the companys 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
• Laptop with m1 processor, 32GB RAM, SSD - a 16” or 14” MacBook Pro or corresponding Dell with Windows (if you don’t like Macs), two monitors and all other gadgets that you should need
• 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
• Hackathons, team tourism, 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

Why is it worth working with us

• At Allegro, you will be responsible for processing petabytes of data and billions of events daily
• You will become a participant in one of the largest projects of building a data platform in GCP
• Your development will align with the latest technological trends based on open source principles (data mesh, data streaming)
• You will have a real impact on the direction of product development and technology choices. We utilize the latest and best available technologies, as we select them according to our own needs
• You will have the opportunity to work within a team of experienced engineers and big data specialists who are eager to share their knowledge, including publicly through allegro.tech
• Once a year, you can take advantage of the opportunity to work in a different team or more often if there’s an internal business need (known as team tourism)

This may also be of interest to you:

Allegro Tech Podcast https://podcast.allegro.tech/

Booklet https://jobs.allegro.eu/pl/obszary-prac/tech-data/

Substantive feedback and tips for further development

Clear and fast contact during the entire process

A practice-focused skills review

Recruiters with knowledge and passion

A relaxed atmosphere during the interview