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

Job Description:

Allegro 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.

As a Senior Product Analyst, you will work on strategic analyzes creating directions for the development of our product and assessing the impact of initiatives on the organization's financial results. At Allegro Pay, analytics is at the heart of our product!

Key Responsibilities:

• Contribute to creating a strategy and setting the direction of activities in the area of financial services offered on Allegro

• Give 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)

• Create new processes based on data while maintaining best practices in the area of software engineering 

• Participate in the design of business processes using data products and in their production implementation

Technologies you will encounter in your daily work: Airflow, Python, Snowflake, Snowpark, DBT, SQL, Azure DevOps, GitHub Actions, Tableau

We are looking for people who:

• Have a minimum of 4 years of experience in the role of data analyst or data engineer (experience gained in consulting or financial institution is most welcome)
• Know SQL fluently, write complex SQL queries, have experience in SQL query optimization
• Have some experience in creating dashboards in BI tools (Tableau preferred)
• Care about repeatability and reusability of code (knowledge of Git is an advantage)
• Have some experience with Python in data processing and analytics context
• Know how to transform data into knowledge, draw conclusions and give insightful recommendations
• Want to develop both technically and business-wise
• Are independent, proactive, inquisitive and meticulous, eager to take on new challenges and responsibilities
• Are 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
• Know Polish and English at least at B2 level

What we offer:

• Flexible working hours in an office first model (4/1) that depend on you and your team. Starting later or finishing earlier? No problem! Work hours keep pace with our lifestyles and can start between 7 a.m. and 10 a.m.
• 30 days of occasional remote work per year that you can plan flexibly and use as you wish
• Well-located offices (fully equipped kitchens, bicycle parking facilities) and excellent working tools (height-adjustable desks, interactive conference rooms).
• Long-term discretionary incentive plan based on Allegro.eu shares.
• 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 paid for by us, 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 you may need.
• Working in a team you can always count on, with top-class specialists and experts.
• A high degree of autonomy in organizing your team’s work; we encourage continuous development and trying out new things.
• Hackathons, team tourism, training budget, and an internal educational platform (including training courses on work organization, communications, motivation, and various technologies and subject-matter issues).

Why is it worth working with us:

• You will prove yourself in projects in various areas such as: financial analysis of business profitability, the impact of marketing campaigns on KPIs, analyzes in terms of customers' place of residence
• You will work with other Product and Data Analysts, Data Scientists, Data Engineers, Software Engineers and Product Managers - unlike other similar offers, this role allows you to gain unique experience in all the above-mentioned areas and develop your skills multidisciplinary
• You will get to know the modern architecture of the Data Mesh, which is based on a cutting-edge approach to collecting and processing data from microservices
• You will become an important part of an interdisciplinary team of specialists combining technical and business competencies from various industries
• We use the latest technologies such as Snowflake, Airflow, DBT, Alation, Tableau (if you don’t know any, no worries, we will teach you everything)
• We organize hackathons and internal conferences (annual Allegro Tech Meeting). We travel to industry conferences and attend trainings. If you want to grow and share your knowledge with others, Allegro Pay is the place for you.

This may also interest you:

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

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

Send in your CV and see why it is #goodtobehere!