Data Analyst / Decision Scientist, Trust & Safety
Vinted
- Amsterdam, Noord-Holland
- € 49.700-82.800 per jaar
- Vast
- Voltijds
- 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 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 Scientists are 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.
- Be your team's primary point of contact to provide answers to data-related 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 alongside other decision scientists to detect and investigate specific fraud patterns.
- Collaborate with your team and stakeholders to identify strategic opportunities and answer critical business questions.
- Analyse identified opportunities to understand their scope and impact (i.e. size opportunities).
- Own the key performance indicators for a team, including selection, tracking, forecasting, and proactively flagging issues.
- Enable your team and direct stakeholders to independently leverage data for business insights via self-serving and dashboarding tools (such as Looker).
- Define the requirements for A/B testing and analyse the results of A/B tests.
- Strong proven experience in Data Analytics (typically 4+ years of working experience or similar activities resulting in a similar level of proficiency).
- Statistical proficiency (In particular A/B testing).
- A good communicator who can present complex topics clearly and persuasively to different audiences.
- Strong analytical, strategic, and business skills.
- A degree in statistics, physics, econometrics, economics, business or a similar field.
- Working experience with at least one statistical programming language (Python, R, etc.)
- Proficient in SQL and experience with dashboarding tools (e.g. Looker, Tableau, etc.)
- Advantage: experience with Machine Learning techniques.
- Advantage: experience working in the Trust & Safety or Fraud-related area.
- The opportunity to benefit from our share options programme
- 25 days of paid annual leave
- Newest MacBook models
- Mental and emotional health support through the Mindletic app
- Frequent team-building events
- Home office support: we provide IT workstation equipment and a personal budget of up to €540 for home workplace furniture
- A daily lunch allowance
- ClassPass (Gym Membership subsidy)
- Pension plan with total contribution of 12%, 8% by the Company and 4% by employee
- A personal monthly budget for shopping on Vinted
- An NS mobility card
- 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