Data Analyst / Decision Scientist, Seller Intelligence

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

As our new Decision Scientist, you will join the Seller Intelligence team, which is responsible for domain-level or broader analytical projects to help us understand our sellers' needs and ensure domain-wide data availability. This distributed team spans Vilnius and Berlin and consists of Decision Scientists and Analytics Engineers who collaborate closely with cross-functional product teams within the Seller domain.

We are looking for someone who enjoys working in a fast-changing environment, is willing to switch contexts by contributing to the domain’s goals and projects based on priorities, and is passionate about the product we are building together.

Next to the Intelligence team, you will be 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 Scientistsare 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

• Collaborate with your team and direct stakeholders to identify strategic opportunities and answer key business questions
• Ensure these questions are answered in an optimal fashion (e.g. in the form of an ad-hoc deep-dive, experiment, dashboard, or automatically recurring analysis)
• Work on deepening understanding of our seller base and their needs
• Set up and own the key performance indicators for the domain, including selection, forecasting, and proactively flagging issues
• Enable your team and direct stakeholders to independently leverage data for business insights via dashboarding tools (Looker)
• Inspire the usage of data & analytics within the domain to make data-driven decisions

About you

• BSc or MSc in a related field (statistics, mathematics, econometrics, economics or similar) or equivalent working experience
• Demonstrated working experience as a Decision Scientist, Data Analyst, or other role with a strong data component (typically 2+ years of working experience or similar activities resulting in a similar level of proficiency)
• Proficient in SQL, a statistical programming language (eg. Python, R, etc.), as well as BI tools (eg. Looker, Tableau, PowerBI, etc.)
• Statistical proficiency (eg. experience in A/B testing, regression analysis, etc.)
• Ability to combine data insights with strategic direction and develop actionable recommendations
• A good communicator who can present complex topics clearly and persuasively to different audiences
• Strong interpersonal skills and eager to work with a wide variety of stakeholders within the company
• Excellent written and spoken English

Work perks

• The opportunity to benefit from our share options programme
• 25 working days of holiday
• Newest MacBook models
• Free access to an office gym
• 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
• Private health insurance
• On-site canteen serving delicious homemade food at discount prices
• Frequent team-building events
• A personal monthly budget for shopping on Vinted
• 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 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 € 3,175 - € 4,292 gross per month.