Decision Scientist (Data Analyst), Vinted

Vinted; Amsterdam; Hybrid; EUR 47.000 - 84.000; Full time

Job summary

Vinted, a leading online marketplace for second-hand fashion, seeks a Decision Scientist in Amsterdam. In this role, you'll drive impactful decision-making through data analysis and collaborate with teams to improve member experiences. With a gross salary range of €47,300 to €83,600, Vinted promotes a hybrid work environment, offering robust perks and a commitment to professional growth.

Benefits

Share options programme

25 days of paid annual leave

Mental health support

Team-building events

Home office support

Daily lunch allowance

Pension plan with company contribution

Monthly shopping budget on Vinted

NS mobility card

90 days workation

Dog-friendly office

Qualifications

• Experience in a Decision Science or Data Analytics role.
• Fluent in English, both written and spoken.
• Comfortable with iterative processes.

Responsibilities

• Provide data-driven recommendations to stakeholders.
• Test and analyze developed opportunities using statistical methods.
• Enable stakeholders to leverage data for business insights.

Skills

Analytical thinking

Problem-solving

Data-driven decision-making

Communication

Statistical methods

Tools

SQL

Python

BI tools

Job description

Decision Scientist (Data Analyst), Vinted

Amsterdam, Netherlands

Data Science & Analytics

Vinted Marketplace

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

As a Decision Scientist at Vinted, your work will have a tangible impact on the real world, empowering Vinted’s members to lead more sustainable lives. You will play a key role in shaping our product and business strategy by leveraging data to drive impactful decision-making.

Decision Scientists at Vinted are distributed across our family of domains: Strategy & Planning, Marketing, Member Lifecycle, Buyer, Seller, Pricing & Revenue, Purchase, Order, Payments, Trust & Safety, Security, Help Experience, Vinted Go OpsTech, Vinted Go Points, and Vinted Go Network, either embedded in cross-functional product teams or as part of data teams, collaborating closely with colleagues to identify opportunities, generate insights, and improve member experiences.

This role is ideal for someone who thrives in a fast-paced environment, enjoys problem-solving, and is passionate about using data to drive meaningful change.

Our Decision Scientists work within the broader Data Science & Analytics (DSA) organisation, where we have three distinct roles. We believe that each role can make a similarly sized business impact in different ways, and therefore, our salary ranges are the same for all three roles. To understand your role within the DSA context better, here are brief descriptions of each role we have in the department:

Decision Scientists are responsible for actionable insights, identifying and sizing opportunities, and developing 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.

As a Decision Scientist at Vinted, you’ll:

• Partner with your team and stakeholders at Vinted, to identify strategic opportunities and provide data-driven recommendations, as well as answer critical business questions.
• Test and analyse developed opportunities to validate their value and understand their business impact, using statistical methods and visualisation tools
• Select, calculate, and monitor your team's key performance indicators, proactively flagging issues, running analyses and understanding root causes
• Enable your team and direct stakeholders to independently leverage data for business insights via self-service dashboards
• Contribute to a data-driven culture by promoting best practices in analytics and decision-making to make data count.

About you

• Experience in a Decision Science or Data Analytics role.
• Good analytical thinking and problem-solving skills, with the ability to balance depth of analysis with business impact.
• Familiarity with SQL and Python
• Experience with BI tools (e.g., Looker, Tableau, Power BI)
• Knowledge of statistical methods, such as A/B testing, regression analysis, and other inferential techniques.
• Highly results-oriented and comfortable with iterative processes
• Strong communicator who can convincingly present results to both technical and non-technical audiences
• Fluent in English, both written and spoken
  
  

If you’re excited about this role but don’t meet every requirement, we still encourage you to apply. We have multiple positions available across our different domains - your unique experience and perspective could be exactly what we need!

• The opportunity to benefit from our share options programme
• 25 days of paid annual leave
• Mental and emotional health support through the Mindletic app
• Frequent team-building events
• Home office support: we provide IT workstation equipment and a personal budget of up to €540 for home workplace furniture
• A daily lunch allowance
• Pension plan with a total contribution of 12%, 8% by the Company and 4% by employee
• A personal monthly budget for shopping on Vinted
• An NS mobility card
• 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.

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.

We are currently hiring both mid and senior level Decision Scientists with the base salary range between €47,300 - €83,600 gross per year (excluding holiday pay)

About you

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We work in a Hybrid model, with a mixture between home working and 1-2 days per week working at our office in Amsterdam.Are you currently based in Amsterdam or do you require relocation? * I am based in Amsterdam or within commutable distance I require relocation

Can you share an example of how you used data analysis to drive a business decision or improve a product in a recent project?We would love to hear about your process, and the impact it had. *

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