Data Analyst / Decision Scientist, Digital Marketing

at Vinted

📍 Berlin, Germany

€57,000-77,100 per year

MIDDLE
✅ Hybrid

SCRAPED

Used Tools & Technologies

Automated Testing Machine Learning Data Science E-commerce

Required Skills & Competences ?

Marketing @ 3 Python @ 5 SQL @ 3 Looker @ 3 R @ 5 Tableau @ 3 Communication @ 7 Dashboarding @ 3 CRM @ 3 Matlab @ 5 Stata @ 5 Experimentation @ 3

Details

Brief info about Vinted

Vinted Marketplace is the largest online international C2C marketplace in Europe dedicated to second-hand fashion, with millions of registered members spanning 22 markets in Europe and North America. With a mission to make second-hand the first choice worldwide, Vinted enables people to sell and buy second-hand clothes and lifestyle items from each other, helping give those items a second or even third life.

The Vinted Group, composed of Vinted Marketplace and Vinted Go, is headquartered in Vilnius, with workplaces in Germany, Lithuania, France, the United Kingdom, the Netherlands and over 2,000 employees. It is backed by six leading venture capital firms: Accel, Burda Principal Investments, EQT Growth, Insight Partners, Lightspeed Venture Partners, and Sprints Capital.

Information about the position

At Vinted, our Digital Marketing Data Science & Analytics team is pivotal in driving growth through data-driven decision-making and enabling high-stake investment decisions. This team comprises talented individuals with backgrounds in academia, econometrics, e-commerce, consulting, and media. They use scientific approaches to solve complex business problems, develop statistical and business models, perform advanced data analyses, and ensure data reliability.
Within Marketing, we currently have exciting opportunities for Decision Scientists to work with either CRM or Performance Marketing teams.

  • Decision Scientists are responsible for actionable insights, identifying and sizing opportunities, and automated tools that increase the quality of product and business decisions by applying statistical methods and data-driven decision making.
  • Data Scientists are responsible for identification of algorithmic opportunities, ensuring those opportunities are addressed in an optimal fashion and design, development and maintenance of production-grade statistical and machine learning algorithms.
  • Analytics Engineers are responsible for data curation – translating data needs from stakeholders into architecting, building and maintaining efficient & reliable data models and pipelines.

In this position, you’ll

  • Set up untracked marketing experiments: Use Geo experiments, causal impact, or diff-in-diff methodologies to measure the incremental impact of different marketing channels and campaigns
  • Experimentation: Analyse AB tests and iterate on the experiment set up and automated testing tools
  • Revenue Stream Analysis: Investigate revenue streams generated by marketing, including acquisition, reactivation, and engagement.
  • Marketing Channel Analysis: Assess the impact of various marketing channels on user acquisition, retention, engagement, and revenue.
  • Support Media Mix Modeling: Occasionally assist with ad-hoc requests, including data questions, consultations, and analyses.
  • Segmentation: Develop unique personas to enable relevant and personalised comms to millions of Vinted users
  • Analytical deep dives: answer complex questions such as: when is the best time to reach out to our customers? What is the best mix of different messages and amount of communications? What is the total impact of all communications?

About you

General Requirements:

  • Several years of experience as a Decision Scientist, Data Analyst, Data Scientist, or similar role.
  • Strong business results orientation with the ability to connect scientific approaches with pragmatic problem-solving.
  • Excellent communication skills to present results persuasively to various stakeholders.
  • Proficiency in at least one statistical programming language (R, Python, Stata, Matlab, etc.)
  • Fluency in SQL and experience with dashboarding tools (e.g., Looker, Tableau).
  • A graduate degree in statistics, econometrics, economics, business, or a related field.
  • Excellent written and spoken English.

Nice to have skills (not all necessary)

  • Strong experimentation knowledge from CRM or Product background;
  • Good understanding of performance marketing channels attribution;
  • Causal inference and geo experimentation experience

Work perks

  • The opportunity to benefit from our share options programme
  • 30 days of paid annual leave
  • Newest MacBook models
  • Mental and emotional health support through the Mindletic app
  • Home office support: we provide IT workstation equipment and a personal budget of up to €540 for home workplace furniture
  • A daily lunch allowance
  • Frequent team-building events
  • A personal monthly budget for shopping on Vinted
  • A subsidised gym membership with ClassPass or Urban Sports Card
  • A subsidised pension plan provided by Vinted
  • Hallesche Supplemental health insurance
  • Life and disability insurance provided
  • A subsidised Deutschlandticket
  • The opportunity to spend up to 90 days per year - 21 of which can be spent working outside of the EU - on workation
  • A dog-friendly office

Working at Vinted

Individual Learning Budget

Vinted will set aside a yearly sum equal to 10-13.2% of your annual salary to be invested in your continuous professional development. You’ll be able to take the initiative to use it for covering relevant learning activities that benefit your role.

Hybrid Work

We’ve adopted a hybrid workplace model where 2 days in the office are recommended but not enforced. It’s up to you and your team to decide on the exact days you’ll spend working together in person.

Equal Opportunity

The Vinted Group is committed to building an inclusive workplace where people from all walks of life feel a sense of belonging. We welcome applications from people of all backgrounds, identities and life experiences. At Vinted, all applicants are treated fairly without regard to their race, age, religion or belief, sex, national origin, citizenship, gender identity, sexual orientation, disability, or any other protected characteristic.