Senior Data Analyst / Decision Scientist, Programs

Details

Information about the position

Join Vinted's Programs team, where we drive impactful initiatives across the Marketplace. Our team focuses on high-impact projects that span multiple product domains, including new categories like Electronics and Luxury Fashion, with pioneering services like item verification. We also handle Geographical Expansion and M&A Integrations. Each initiative is led by dedicated Program leaders and collaboratively executed with product teams to achieve success.

As a Senior Data Analyst in the Programs team, you will support these high-impact initiatives from inception to execution. Your role will be pivotal in making data-driven decisions, aiding product development, prioritising opportunities, establishing best practices for experimentation, and defining key metrics and OKRs. Working closely with the Manager of Data Science and Analytics for Programs, you’ll ensure our initiatives run smoothly and effectively.

This role offers ample opportunities to contribute to long-term vision, collaborate with a talented team, and help establish streamlined processes. Given the cross-functional nature of our programs, you'll frequently work with stakeholders across Product domains, the Strategy team, and Marketplace Leadership, making a tangible impact on our company's growth trajectory. Join us at Vinted and be part of shaping the future of our Marketplace.

In this position, you’ll

• Lead data analysis projects focused on high-impact programs
• Establish sound experimentation practices
• Define key metrics and OKRs
• Contribute to programs’ strategies
• Build analytical models to predict trends and behaviours
• Communicate findings and recommendations pro-actively to stakeholders
• Ensure data quality
• Work with cross-functional teams to identify and address analytical needs

About you

• Derive energy from solving complex problems in a highly dynamic and ambiguous environment
• Care deeply about making data-informed decisions to shape the Progams’ strategy
• Have at least 5 years of experience in data analysis or a related field
• Skilled in SQL and experienced with programming languages like Python or R
• Excellent written and spoken English
• Completely comfortable and experienced with data visualisation tools like Looker, Tableau or Power BI
• Well-versed in working with large datasets
• Advantage: Knowledge of eCommerce or marketplace dynamics
• Advantage: Experience in a scale-up or tech environment

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.