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

Allegro.eu S.A.; Warszawa; On-site; PLN 180,000 - 260,000; Full time

Benefits offered by this job

Well-located offices

MacBook Pro

Fringe benefits

English classes

Training budget

Volunteer day off

Social events

Job summary

Allegro Pay is seeking a Senior Product Analyst to work on strategic analyses, guiding product development and assessing initiatives' impact on the firm’s financial results. You will collaborate with Data Scientists, Risk Specialists, and Software Engineers to gain a holistic view of the product lifecycle.

You will analyze financial products, calculate key metrics, and shape decisions that influence customer behavior on Allegro's platform.

Qualifications

• 5+ years of experience as a product/data analyst or data engineer (consulting/financial sector welcome)
• Fluent SQL writing and optimization
• Experience creating dashboards in BI tools (Tableau preferred)
• Code quality: repeatable and reusable data processing
• Experience with Python in data processing and analytics context
• Ability to transform data into knowledge and actionable insights
• Willingness to develop technically and business-wise
• Knowledge of experimental design, A/B testing, and analytics metrics
• Independent, proactive, collaborative, and detail-oriented
• Polish and English at least at B2 level

Responsibilities

• Contribute to creating a strategy and setting the direction of activities in Allegro Pay's financial services area
• Provide data-driven recommendations to key decision-makers to influence customer behavior on the Allegro platform
• Calculate major financial metrics (e.g., Incrementality, CLV) with auditable data processes
• Create and improve data-driven processes while upholding software engineering best practices
• Participate in the design and production implementation of data products and business processes

Skills

SQL fluency

Python

BI dashboards

Data analysis

Experiment design / A/B testing

Git knowledge

Polish and English (B2)

Tools

Airflow

Snowflake

Snowpark

DBT

GitHub Actions

Tableau

BigQuery

Kubernetes

Docker

Job description

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

Location: Warszawa, PL, 00-841

Team: Technology

Contract Type: Employee

About the team:

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.

This 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.

Job Description:

As 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!

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)
• Calculate major financial metrics (e.g., Incrementality of financial products, CLV) while providing full auditability and reliability of data processes
• 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, GitHub Actions, Tableau, BigQuery, GitHub Copilot, OpenCode

We are looking for people who:

• Have 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)
• 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
• Have knowledge of experimental design, A/B testing methodologies, and product analytics metrics
• 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's in it for you:

• Well-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).
• A 16" or 14" MacBook Pro or corresponding Dell with Windows (if you don't like Macs) and all the necessary accessories.
• 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.
• A training budget, inter-team tourism (see more here), hackathons, and an internal learning platform where you will find multiple trainings.
• An 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.
• Social events for Allegro people - Spin Kilometers, Family Day, Fat Thursday, Advent of Code, and many other occasions we enjoy.

And that's just the beginning! You can read more about the benefits here .

#goodtobehere means that:

• You will join a team you can count on - we work with top-class specialists who have knowledge- and experience-sharing in their DNA.
• You 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.
• You 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.
• You 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).
• You will create solutions that will be used (and loved!) by your friends, family and millions of our customers.
• You 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.
• You 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!