Data Analyst / Decision Scientist, Category Management

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 20+ 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.

Vinted Go launched in 2022, with a focus on developing products and solutions for more seamless shipping and delivery across Europe. Vinted Go has connected more than 40 carriers and more than 200,000 PUDO points across Europe to support the delivery of millions of parcels per year.

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

Join Vinted's Category Management team, where we drive Vinted’s expansion into new categories and the improvement of existing ones. Our team focuses on understanding, developing and expanding the structure of our catalog. We work closely with Product teams across Vilnius and Berlin to ensure that our category tree and navigation tools fulfill the needs of our members and are easy to use.

Next to the Category Management team, you will be a part of the cross-domain Data Science & Analytics (DSA) guild where you will interact and learn from all data people in Vinted. Within DSA, we have three distinct roles. We believe that each role can make a similar business impact in different ways, and therefore, our salary ranges are the same for all three roles. To understand your role within DSA context better, here are brief descriptions of each role we have in the department:

• Decision Scientists are responsible for generating actionable insights and identifying and scoping opportunities. They maintain and contribute to 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 the identification of algorithmic opportunities, ensuring those opportunities are addressed in an optimal fashion and designing, developing and maintaining 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

• Analyse questions and identified opportunities relating to category changes and improvements to understand their scope and impact
• Enable your team and direct stakeholders to independently leverage data for business insights via self-serving and dashboarding tools (Looker)
• Collaborate with Taxonomists to enable them to use a data-driven approach to Taxonomy Design and category structure
• Define the requirements for (A/B) testing, ensure the features have appropriate tracking, and analyse the results of tests and experiments
• Support the Ontologies Platform (engineering) team to answer their data analytics questions
• Communicate findings and recommendations to relevant stakeholders

About you

• Demonstrated working experience as a Decision Scientist, Analyst, or other role with a strong data component (typically 2+ years of working experience).
• Strong background in statistics (modelling, experimentation).
• 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 (preferably Python).
• Fluency in SQL and experience with dashboarding tools (e.g., Looker, Tableau).
• A graduate degree in statistics, econometrics, economics, business, or a related quantitative field.
• Excellent written and spoken English.

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 Club
• 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

We invest in your professional growth! As part of our commitment to continuous learning, we offer an annual learning budget to support your personal and career development through courses, certifications, workshops and more.

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.

The salary range for this position is € 57,500 - € 77,900 gross per year.