Oferty
Data Analyst - Ads Data Team
BI & Data

Data Analyst - Ads Data Team

Warszawa
Rodzaj pracy
Pełny etat
Doświadczenie
Specjalista/Mid
Forma zatrudnienia
UoP
Tryb pracy
Praca hybrydowa
Allegro

Allegro

Jesteśmy częścią czegoś większego. Grupa Allegro to 10 firm tworzących wiodącą w Europie Środkowej markę e-commerce. Baza naszych sprzedawców liczy obecnie około 135 tys. merchantów, a łącznie mamy prawie 18 milionów klientów. Jednym z naszych celów jest rozwijać e-commerce tak, aby zapewniać klientom najlepsze doświadczenia i najprostszy proces zakupowy poprzez platformy sprzedażowe.Chcesz zadbać o to razem z nami? Dołącz do zespołu.

Zobacz profil pracodawcy

Wymagane umiejętności

SQL

Python

Opis stanowiska

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

We are looking for an experienced person for the position of Product Analyst, who will play a key role in shaping Ads products at Allegro. The perfect candidate should not only possess strong analytical skills but also demonstrate proactive initiative. Leveraging data and product intuition, they should guide the direction of Ads development and exhibit adeptness in collaborating with diverse stakeholders, ensuring effective communication.

 

What will your work consist of?

  • You will cooperate with Product Managers, development teams, UX Designers and UX Researchers in the development of Ads products on the Allegro platform
  • Your task will be to look for new solutions, indicate new directions for the development of Ads products and optimization based on analyzes and product intuition
  • You will influence the shape of Ads products through various analyzes and recommending changes to improve the experience of Allegro customers
  • You will support the design and conduct of A/B tests with your statistical knowledge, often providing input in the form of variants of changes
  • You will drawing conclusions from A/B tests and recommending options for implementation

 

We are looking for people who

  • have proficiency in using SQL and a foundational understanding of Python 
  • have minimum of 3 years of experience in a Product Analyst role or a similar capacity
  • have basic knowledge about Advertising business and technology (interested in Ads algorithms/recommendations systems will be an advantage)
  • have the ability to independently formulate hypotheses, design and conduct analyses
  • know how transform data into knowledge, draw conclusions and present recommendations
  • have statistical knowledge to conduct A/B tests
  • have expertise in selecting appropriate data visualization techniques; familiarity with Tableau/Data Studio is a bonus
  • have exceptional collaboration skills, with an emphasis on clear and effective communication with various stakeholders
  • have experience in processing and analyzing large data sets
  • care about the reusability of the code
  • 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
  • 16" or 14" MacBook Pro with M1 processor and, 32GB RAM or a corresponding Dell with Windows (if you don’t like Macs) and other gadgets that you may 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)

 

Send in your CV and see why it is #goodtobehere

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