Decision Scientist / Data Analyst, Transactional Experience
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 in Transactional Experience, you will become part of the domain that is responsible for the overall flow which takes a user from being interested in buying/selling to a successful purchase/sale. You will be part of the Transactional Intelligence team that consists of Decision Scientists and Analytics Engineers as well as part of the company-wide science and analytics guild. Your focus will be on leveraging data to ensure that the Transactional Experience domain is moving in the direction of greatest positive impact.
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.
Within Data Science & Analytics (DSA) 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 DSA context better, here are brief descriptions of each role we have in the department:
- Analytics Engineers are responsible for data curation – translating data needs from stakeholders into architecting, building and maintaining efficient & reliable data models and pipelines.
- 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.
In this position, you’ll
- Collaborate with your team and direct stakeholders to identify strategic opportunities, answer key business questions, and improve and maintain data products.
- Build business cases in order to understand the financial impact of the opportunities that are being investigated and propose an optimal solution.
- Make sure data-driven decision making is applied for product changes, improvements and strategic direction.
- Contribute to company-wide forecasting of core business metrics
- Propose and implement key metrics that measure business performance, set up monitoring, and proactively flag issues.
- Be able to evaluate the impact of certain product changes, prepare, run and analyse A/B tests. Participate in the final decision making based on the A/B test results.
About you
- BSc or MSc in a related field (statistics, mathematics, econometrics, economics or similar) or equivalent working experience
- Demonstrated working experience as a Data 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- € 5,800 gross per month.