Senior Data Analyst / Decision Scientist, Shipping Pricing

Information about the position 

At Vinted, Shipping Pricing is a key channel to grow our platform by making high-stake investment decisions. We have a Decision Scientist opening in the Shipping Pricing area. As a Decision Scientist, you’ll join our Marketing Data Science & Analytics (Marketing DSA) team where a mix of talented people with backgrounds from academia, econometrics, e-commerce, consulting, and media apply a scientific approach to solve worldwide business problems. You will report to the Manager of Data Science & Analytics and work in the team of experienced Decision and Data Scientists.

In the Shipping Pricing domain, in addition to being a member of Marketing DSA, you’ll also become a member of the Shipping Pricing team – a key team driving Vinted Marketplace growth through shipping discount strategies. Your primary responsibility will be to enable the team to optimise our investments via experimentation (AB testing), in-depth data analysis, and creation of new ROI models. In this role, you will collaborate with analytics engineers, decision scientists, and pricing analysts to identify and fulfil data requirements in this area.

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:

• 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.
• 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 

• Create High Impact: Contribute to the development of new ROI/ROAS and payback models to measure Shipping Discount campaigns’ performance
• Always remain challenged: Investigate revenue streams that Shipping Pricing generates – think of acquisition, reactivation and engagement on both sides of a two-sided market, i.e. seller and buyer
• Be involved: Analyse how shipping discount investments drive user acquisition and retention, engagement, and lifetime value
• Raise Our Data Quality Standards: Drive the usage of data & analytics within the organisation by making the Shipping Pricing data obvious for everyone to understand, interpret, and use in daily decision-making
• Co-create across Marketplace & DSA: Pitch your findings to your team as well as marketing or shipping pricing colleagues to pivot the models used to measure success

About you 

• Strong statistical, analytical, strategic, and business skills
• Highly business-results-oriented and able to connect science with pragmatic problem-solving
• A good communicator who can present results in an informative and persuasive manner to a wide range of stakeholders
• Intermediate-to-extensive working experience as a Decision Scientist, Data Analyst, or Data Scientist
• Experienced with AB testing and measuring causal relationships using advanced statistical methods
• Strong knowledge of at least one statistical programming language (R, Python, Stata, Matlab etc.)
• Fluency with SQL and experience with dashboarding tools (e.g. Looker, Tableau, etc.)
• A graduate degree in statistics, econometrics, economics, business or a similar field
• Excellent at communicating in written and spoken English
• Advantage: Previous experience with Marketing Analytics, in particular, ROI/ROAS models
• Advantage: Strong econometrics knowledge (statistical models, regression analyses)
• Advantage: Advanced knowledge of R/Python

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 - € 5,290 gross per month.