Senior Decision Scientist, Order

VINTED; City Of London; Hybrid; GBP 80,000 - 100,000; Full time

Job summary

A leading second-hand marketplace in the UK is seeking a Data Analyst to partner with teams, provide data-driven insights, and contribute to a data-driven culture. You will analyse strategic opportunities using SQL and Python and present results effectively. The position offers hybrid work and various perks including a share options program and mental health support.

Benefits

Share options programme

25 working days of holiday

Newest MacBook models

Free office gym access

Digital mental health support

Home office support up to €540

Private health insurance

On-site canteen

Frequent team-building events

Monthly shopping budget on Vinted

Workation opportunities up to 90 days per year

Dog-friendly office

Qualifications

• Analytical thinking and problem-solving for business impact.
• Proven ability to present results effectively to various audiences.
• Results-oriented mindset and comfort with iterative processes.

Responsibilities

• Partner with stakeholders to identify strategic opportunities.
• Test and analyze opportunities using statistical methods.
• Monitor key performance indicators for business insights.
• Promote a data-driven culture within teams.

Skills

Experience in a Decision Science or Data Analytics role

Good analytical thinking and problem-solving skills

Familiarity with SQL and Python

Experience with BI tools (e.g., Looker, Tableau, Power BI)

Knowledge of statistical methods

Fluent in English

Tools

SQL

Python

Looker

Tableau

Power BI

Job description

Brief info 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‑loved clothing and lifestyle items, giving each piece a second life – or even a third.

The Vinted Group is made up of three business units that support this mission. Vinted Marketplace is Europe’s leading platform for second‑hand fashion and a go‑to destination for all kinds of pre‑loved items, with a growing range of categories. Our platform connects millions of members across 20+ markets, helping great items find a new life.

Vinted Go enhances the shipping experience with a vast network of over 500,000 pick‑up and drop‑off points, partnering with more than 60 carriers across Europe, with added services like item verification for peace of mind on high‑value pieces.

Vinted Pay is the newest part of the Vinted Group, dedicated to bringing secure, reliable payments to buyers and sellers across Europe. Seamlessly integrated into the Vinted app, it helps keep every transaction safe, efficient, and easy for our members.

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’ve grown with offices across Europe, supported by a team of over 2,000 people. Our backers include Accel, EQT Growth, Insight Partners, Lightspeed Venture Partners, Sprints, and TPG.

In this position, you’ll

• Partner with your team and stakeholders at Vinted to identify strategic opportunities and provide data‑driven recommendations, as well as answer critical business questions.
• Test and analyse developed opportunities to validate their value and understand their business impact, using statistical methods and visualisation tools.
• Select, calculate, and monitor your team’s key performance indicators, proactively flagging issues, running analyses and understanding root causes.
• Enable your team and direct stakeholders to independently leverage data for business insights via self‑service dashboards.
• Contribute to a data‑driven culture by promoting best practices in analytics and decision‑making to make data count.

About you

• Experience in a Decision Science or Data Analytics role.
• Good analytical thinking and problem‑solving skills, with the ability to balance depth of analysis with business impact.
• Familiarity with SQL and Python.
• Experience with BI tools (e.g., Looker, Tableau, Power BI).
• Knowledge of statistical methods, such as A/B testing, regression analysis, and other inferential techniques.
• Highly results‑oriented and comfortable with iterative processes.
• Strong communicator who can convincingly present results to both technical and non‑technical audiences.
• Fluent in English, both written and spoken.

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.
• Digital mental and emotional health support and Employee Assistant Programme (EAP).
• 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.

Individual Learning Budget

We invest in your professional growth! As part of our commitment to continuous learning, we offer an annual learning budget to support your personal and career development through courses, certifications, workshops and more.

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.

The salary range for this position is € 4,283 – € 5,800 gross per month.