2025-01-23 11:16:08

Decision Scientist/Data analyst, Competitive Intelligence

Vinted, UAB
3433 - 4650 €/m Gross
Occasional remote work possibility

Job Description

We are looking for a Decision Scientist to join our Competitive Intelligence team. This team’s mission is to deeply understand our competitive landscape, and help Vinted make better strategic decisions leveraging market and competition data. As a Decision Scientist, you will turn this data into actionable insights to inform our strategy, assist in setting our ambitious market growth targets, and provide deep dives into the performance of Vinted relative to competitors in the markets and categories we operate in. You will collaborate closely with strategists and stakeholders across different teams.

_About the team:_ Marketplace Strategy & Planning domain identifies growth opportunities for Vinted’s Marketplace in different markets, categories and other business opportunities. As the data team inside Strategy & Planning we quantify and measure our Marketplace strategy, including setting OKRs, defining metrics, tracking markets and competition, and forecasting of our performance. We work on highly visible strategic projects, with a wide range of stakeholders and data sources, and deliver the data products to support strategic decision making.

  • Build insights and analyses on the dynamic and competitive landscape in which Vinted operates by using internal data, external market data, and market research to benchmark our performance against the market and turn findings into tangible business recommendations.
  • Develop deep expertise in classifieds, marketplaces, re-commerce, and relevant competitors, using this expertise to advise strategic decisions.
  • Engage with external vendors, industry experts, and other relevant stakeholders to understand market trends and competitive developments.
  • Participate in strategic projects in close collaboration with colleagues from Marketplace Strategy & Planning and teams across Vinted.
  • Contribute to the development of dashboards, recurring reporting, and data products that help monitor Vinted’s competitive position and market performance over time.
  • Define requirements for the data needed to support the team's work, monitor outputs to catch issues early, and investigate root causes when discrepancies arise.
  • Identify opportunities to automate recurring workflows and reporting processes, improving efficiency and reducing manual effort over time.

Requirements

  • 2+ years working experience working as a Decision Scientist, Data Analyst, Product Analyst or a Strategic role with a strong data component
  • Highly business-oriented and affinity with online marketplaces
  • Strong in analytical thinking and problem-solving, detail-oriented and know how to balance analytical rigor with business impact.
  • Experience in SQL and Python for data analysis, experience with dashboarding tools (e.g. Looker, Tableau, etc.). Familiarity with dbt or similar data transformation tools is a plus.
  • Strong interpersonal skills and a good and pro-active communicator who can present complex topics clearly and persuasively to different audiences and stakeholders
  • Comfortable in a high-paced, high-stakes environment. You deal well with ambiguity and learn quickly, and are inspired by our mission.

Company offers

  • The opportunity to benefit from our share options programme
  • 25 working days of holiday
  • Access to all the tools & tech needed for work
  • Home office support: we provide IT workstation equipment and a personal budget of up to 540 for home workplace furniture
  • Private health insurance
  • Confidential Employee Assistance Program (EAP) for you and your family
  • 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
  • In Vilnius office: Gym & in-house meals at friendly prices
  • In Kaunas office: a monthly lunch allowance, and a once-a-week provided in-house lunch and breakfast
  • Individual Learning Budget
  • Hybrid Work
  • Equal Opportunity