Analytics Engineer, Buyer, Supply & MLC

Analytics Engineer, Buyer, Supply & MLC – Vinted

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About Vinted

Our mission is to make second‑hand the first choice, and we're looking for people who want to help us get there. Every day, we work together to help our members buy and sell pre‑valued clothing and lifestyle items, giving each piece a second, or even a third, life.

The Vinted Group is made up of three business units that support this mission:

• Vinted Marketplace – Europe’s leading platform for second‑hand fashion and a go‑to destination for all kinds of pre‑loved items.
• Vinted Go – enhances the shipping experience with a vast network of over 500,000 pick‑up and drop‑off points.
• Vinted Pay – brings secure, reliable payments to buyers and sellers across Europe.

Founded in 2008 in Lithuania, Vinted began as a way for friends to find new homes for clothes they no longer needed. In 2019, we became Lithuania's first unicorn. Today, our headquarters remain in Vilnius, and we have offices across Europe with a team of over 2,000 people.

Information About the Position

The Buyer–Supply–Member Lifecycle (MLC) Analytics Engineering area is a centralized team that supports three domains:

• Buyer – focused on the buyer journey, including search, catalog browsing, homepage and item page experiences.
• Supply – centered on the selling experience, such as creating listings, managing attributes, categories and uploading items.
• MLC (Member Lifecycle) – responsible for how we engage users via push notifications, subscriptions, banners, newsletters, and other CRM campaigns.

Within Data Science & Analytics we have three distinct roles. All share the same salary range. Brief role descriptions:

• Analytics Engineers – responsible for data curation, translating data needs from stakeholders into efficient & reliable data models and pipelines.
• Decision Scientists – provide actionable insights and automated tools to improve product and business decisions.
• Data Scientists – focus on algorithmic opportunities and production‑grade statistical and machine learning models.

In this Position, You’ll

• Architect, build, and maintain efficient & reliable new data models and pipelines.
• Consult stakeholders to collect data needs and translate them into functioning pipelines and data models.
• Ensure end users can optimally use the data models—drive optimization, documentation, training, and monitoring of best practices.
• Perform root‑cause analysis for issues in production processes.

About You

• 3+ years working experience in Analytics Engineering or Data Engineering.
• Proficiency in SQL (performance tuning, readability, maintainability).
• Experience with dbt and BigQuery.
• Familiarity with data modeling and storage techniques.
• Comfort with Git.
• Exceptionally attentive to details.
• Excellent communication and collaboration skills.
• Problem‑solving and optimization mindset.
• Excellent written and spoken English.

Work Perks

• Share‑options programme.
• 25 days of paid annual leave.
• Newest MacBook models.
• Digital mental and emotional health support and Employee Assistant Program (EAP).
• Frequent team‑building events.
• Home office support with IT workstation equipment and a personal budget up to €540.
• A daily lunch allowance.
• ClassPass (gym membership subsidy).
• Personal monthly budget for shopping on Vinted.
• Pension plan with total contribution of 12% (8% company + 4% employee).
• NS mobility card.
• 90 days per year of workation (21 days outside the EU).
• Dog‑friendly office.

Working at Vinted

Individual Learning Budget

We invest in your professional growth with an annual learning budget for courses, certifications, workshops and more.

Hybrid Work

We’ve adopted a hybrid model with 2 days in the office recommended but not enforced.

Equal Opportunity

The Vinted Group is committed to building an inclusive workplace for people of all backgrounds. All applicants are treated fairly without regard to protected characteristics.

The salary range for this position is €57,500 – €77,900 gross per year.

Seniority level: Associate

Employment type: Full‑time

Job function: Information Technology

Industry: Software Development

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