Data Analyst / Decision Scientist, Lockers
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.
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
The Vinted Go Points domain at Vinted Go is responsible for expanding and maintaining points (parcel lockers & shops that act as pick-up and drop-off points) network for our logistics operations. As a Decision Scientist, you will play a crucial role in optimising locker data usage for analytical purposes, gathering insights, and improving user flows by defining success metrics, conducting A/B tests, and creating insightful dashboards. Your responsibilities include ensuring a comprehensive view of locker performance, enhancing maintenance visibility, performing anomaly detection, and analysing recurring issues. This role also offers the opportunity to develop future capabilities for auto-detecting potential problems and upcoming maintenance needs to proactively address locker performance and user experience challenges.
We have three distinct roles within Data Science & Analytics (DSA). We believe 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:
- 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 identifying algorithmic opportunities, ensuring those opportunities are addressed optimally, and designing, developing, and maintaining 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, improve, and maintain data products.
- Analyse identified opportunities to understand their scope and impact.
- Propose and implement key metrics that measure business performance, set up monitoring, and proactively flag issues.
- Ensure requests are answered optimally (e.g., in the form of an ad hoc deep dive, experiment, dashboard, or automatically recurring analysis).
- Define the requirements for A/B testing and analyse the results of A/B tests.
- Enable your team and direct stakeholders to independently leverage data for business insights via self-service and dashboarding tools (Looker).
- Closely collaborate with the product manager and help create a roadmap with prioritised hypotheses and analyses.
About you
- Highly results-oriented and comfortable with iterative processes.
- Strong communication skills, capable of presenting results to both technical and non-technical audiences convincingly.
- Proficiency in dealing with technical challenges when building data products.
- Entry to intermediate experience in the field of data analytics, typically 2+ years of work experience or equivalent proficiency.
- Statistical proficiency, including A/B testing and regression analysis.
- Fluent in SQL with practical experience in Python.
- Experience with dashboarding tools such as Looker, Tableau, etc.
- Advantageous: Experience collaborating with cross-functional product teams.
- Advantageous: Background in logistics or e-commerce.
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
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 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.