Data Analyst / Decision Scientist, Marketing (m/f/x)
At Vinted, marketing is one of the most impactful channels to grow the company’s platform by making high-stake investment decisions. As a Marketing Decision Scientist, you’ll join the Marketing Data Science & Analytics 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. In this team they develop statistical and business models, create new methods to measure marketing success, perform advanced data analyses, and ensure that marketing data is reliable. You will report to the Manager of Data Science & Analytics, Marketing Intelligence, and will work in the team of experienced Marketing Decision and Data Scientists. You’ll be expected to be able to accomplish projects individually but at the same time, you’ll have all the support from the team, the DSA guild, and your lead that you may need. You will be responsible for moving millions of people to the path of sustainable consumption.
Within Data Science & Analytics (DSA) there are three distinct roles. Each role can make a similarly sized business impact in different ways and therefore the salary ranges are the same for all three roles. To understand your role within DSA context better, here are brief descriptions of each role:
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.
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Your responsibilities
- Contribute to the development of new ROI/ROAS and payback models to measure marketing performance
- Investigate revenue streams that marketing generates – think of acquisition, reactivation, engagement on both sides of a two-sided market
- Analyse how a multitude of marketing channels drive user acquisition and retention, engagement, and revenue
- Drive the usage of data & analytics within the organisation by making the marketing data obvious for everyone to understand, interpret, and use in daily decision making
- Pitch your findings to your team and marketing colleagues to pivot the models used to measure success
- Occasionally help with ad-hoc requests (data questions and consultations, data bugs, analyses, etc.)
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Your Profile
- Strong 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 working experience as a Decision Scientist, Data Analyst, or Data Scientist
- 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/Scala
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Benefits
- Opportunity to join the company’s share options programme
- Learning budget (10% from gross yearly salary)
- 30 working days of holiday
- Mental and emotional health support from Mindletic
- Frequent team-building events
- A personal budget for shopping on Vinted
- A daily allowance for ordering lunch
- Work anywhere in the EU for 90 days out of the year and up to 21 days outside the EU
- Dog-friendly office
- Home office support (IT workstation equipment provided and a personal budget of 540 for home workplace furniture)
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How to apply!
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