Product Analyst (Delivery Experience Technology & Product)

Job Description

What will your work consist of?

• You will conduct analyzes for the Delivery Experience area from the buyer's side in the scope of:
• customer behavior on the purchasing path related to the choice of delivery method
• prediction of delivery times
• returns process
• post-purchase experience
• … from the seller's side:
• working with delivery price lists
• using different delivery methods
• using Ship with Allegro tool
• ... as well as for other logistics services:
• warehouse services
• Allegro's own delivery network - including our green parcel machines
• own broadcasting platform - including the study of the profitability of offered services
• implementation of the Allegro platform on new markets
• You will analyze large data sets in search of patterns and dependencies that affect key areas for the company
• You will influence the shape of products by making design recommendations based on data analysis
• Your task will also be to verify new hypotheses by designing and conducting A/B tests
• You will have an impact on the designed and implemented solutions through constant cooperation with development teams
• Thanks to the results of your analysis, people in the organization will receive tips on how to make the experience of Allegro users unique

We are looking for people who

• know SQL at a very good level (knowledge of Python will be an advantage)
• have experience in processing and analyzing large data sets
• have min. 3 years of experience in independent work with analytical projects
• know how to choose statistical methods and data visualization techniques adequate to the problem (Tableau/Data Studio is welcome)
• have statistical knowledge to conduct A/B tests
• care about the reusability of the code
• have the ability to independently formulate hypotheses, design and conduct analyses
• are able to cooperate with many stakeholders, while developing effective and clear ways of communication
• know English at a minimum level of B2

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 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 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 would you like to work with us?

• Big Data is reality for us (several petabytes of data)
• We can choose tools for analysis and reporting because we use innovative tools (Tableau, Looker Studio, GCP, Airflow, Spark)
• We have a real impact on the shape of Allegro - analyzes from analysts are a key element necessary in making product and business decisions
• We co-create the world of data - we work in technology, directly with development teams
• Work requires us to constantly acquire new competences and develop - thanks to which we constantly learn new technologies ;)

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/

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