Product Analyst

Job Description

A hybrid work model requires 1 - 2 days a week in the office.

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.

About the job

As a Product Analyst in our Data Product Management team, you will play a crucial role in producing analytical data models and managing analytical events using the data mesh methodology. You will also co-create the data warehouse that supports the development of all FinTech services, including Allegro Pay. This position involves close collaboration with Senior Product Analysts, Software Engineers, and Data Engineers.

We are looking for people who:

• Have a minimum of 2 years of experience in the role of data analyst or data engineer

• Analyzed complex customer processes and are able to visualize results in BI tool

• Implemented at least one scheduled ETL process

• Are interested in technical aspects associated with data modeling, processing, storage and aggregation

• Know SQL fluently, writes complex SQL queries, has experience in SQL query optimization

• Have worked with Python in data processing and analytics context

Additionally, we offer:

• Ambitious challenges that allow for the development of technical and business skills - we use our knowledge and talent to perform complex tasks efficiently and from start to finish

• Hybrid work model - one day in the office, you’re welcome to come more often. We have a well-located office at Fabryka Norblina (with fully equipped kitchens and a wide choice of lunch places in the food zone) and excellent equipment (e.g. height-adjustable desks, interactive conference rooms, high performance dev laptops like MacBook Pro)

• A generous package of non-salary benefits in the cafeteria system – you choose what you benefit from (we offer a range of options including m.in. medical, sports, lunch, insurance, shopping vouchers)

• English language lessons paid by us and focused on the specifics of your work

• A dedicated training budget and an internal training platform MindUp

In your daily work you will handle the following tasks:

• Supporting the design, production, and maintenance of analytical data layer from various business domains

• Building data products such as analytical tables and dashboards

• Analyzing and adjust data collection processes within product subdomains

• Designing analytical entities, considering their most common use cases and the costs of supply and reading

• Verifing data quality against defined measures

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

Why is it worth working with us:

• 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 use the latest technologies (Snowflake, Airflow, DBT, Alation, Tableau) in your daily work

• You will directly influence data flow processes, which in real-time change how millions of users use Allegro

• You will become an important part of an interdisciplinary team of specialists combining technical and business competencies from various industries

• We create tools if what is on the market does not fit our need

• 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/job-areas/tech-data/ 

Send in your CV and see why it is #dobrzetubyć (#goodtobehere)