Staff Data Analyst, Marketing

Academic Key; Greater London; Hybrid; GBP 75,000 - 110,000; Full time

Job summary

Quince in London is seeking a Staff Data Analyst, Marketing to own analytics across marketing channels. You will build automated dashboards, run experiments and deliver insights to improve acquisition, engagement and LTV.

You will partner with the US team, Product and CRM to design lifecycle programmes, A/B tests and incrementality studies, while upholding GDPR and data quality standards.

Qualifications

• Bachelor’s degree in a quantitative field such as Statistics, Mathematics, Economics or Data Science.
• Master’s degree is a plus.
• 7+ years in a data analytics role, preferably in e-commerce/tech.
• Strong SQL and data visualization skills (Tableau/Looker/Power BI/Mixpanel).
• Knowledge of statistical analysis and A/B testing; Python or R a plus.

Responsibilities

• Partner with US team to understand replication needs and gaps.
• Develop and maintain automated reports to track Marketing KPIs: New/Returning Customers, LTV/CAC, ROAS.
• Conduct ad-hoc analyses to identify channel inefficiencies and growth opportunities.
• Collaborate with Product, Engineering and Performance teams on experiments and incrementality studies.
• Deliver data-driven lifecycle programs including key drivers of high-value customers and A/B/multivariate tests.
• Identify triggers for next-best actions based on customer behavior.
• Ensure data quality and GDPR compliance in collaboration with the US team.
• Contribute to the international team's growth.

Skills

SQL

Data viz

A/B testing

Python/R basics

Communication

Education

Bachelor’s degree in quantitative field

Master’s degree is a plus

Tools

Tableau

Looker

Power BI

Mixpanel

Job description

Staff Data Analyst, Marketing

Quince · London

ABOUT QUINCE Quince is a destination for builders, creators, innovators, and operators who want to come together and challenge the status quo. Our mission is simple: make really high quality essentials for really low prices, fairly and sustainably. We deliver on that mission through a unique manufacturer-to-consumer (M2C) model eliminating the layers of traditional retail that add cost and result in consumers paying more than they need to. We find, build relationships with, and work directly with the manufacturing partners behind some of the world’s finest products. From there, our teams design smart, efficient operational processes and build and deploy proprietary technology, AI, and analytics to help us scale fast. What began with a small assortment of elevated basics has quickly grown into a cross-category brand spanning apparel, accessories, home goods, and more. Today, tens of millions of people across a growing number of countries come – and return – to Quince because they trust us to deliver.

OUR CULTURE Quince is a culture built for builders by builders. Our way of working starts with a blank sheet of paper. We question conventional thinking, use technology and data to uncover new opportunities, and move quickly to turn ideas into reality. We aren’t interested in replicating how others do retail. We’re building a better way – at a speed and scale unlike anything that’s been done before. We dream big and chase the hard problems others shy away from. Rejecting long-held assumptions is part of our company's DNA. Where conventional wisdom says you have to choose – soft or durable, speed or rigor, quality or price – we ask why that trade-off has to exist in the first place. Our pace is fast and the bar is high because our customers expect a lot from us and we refuse to let them down. We believe the best results come from challenging ourselves, learning from one another, and building on each other's strengths. Here, responsibility is not determined by role, tenure, or seniority. Every team member - no matter their level - has the opportunity to drive our business and shape our trajectory. If you’re someone who likes to imagine new possibilities and build better systems rather than plug-in to outdated ones, Quince is the place for you.

THE IDEAL CANDIDATE The ideal candidate is a self-starter and problem-solver, skilled at leveraging technology and data to deliver top-tier analytics solutions. They thrive on addressing complex business challenges and are consistently effective in making high-judgment decisions at a rapid pace, even in the face of ambiguity and uncharted scenarios. Additionally, the ideal candidate is energized by a work environment where strategy, innovation, and decision-making are intentionally distributed, where transparency, agility, and data-driven insights are highly valued, and where colleagues at all levels hold each other to exceptionally high standards to serve Quince customers.

• Partner with the US team to understand what exists that we need to replicate and the gaps that we need to build upon
• Develop and maintain automated reports to track Marketing KPIs: New/Returning Customers, LTV/CAC, Total vs. inc. ROAS Performance Marketing Channel: Paid Social, SEM, App, Affiliates etc. CRM: Customer cohort, Database health + Lifecycle stages
• Conduct ad-hoc analyses to identify channel inefficiencies, scaling opportunities, areas for improving MER / Total ROAS
• Partner with Product, Engineering and Performance team to deliver experimentation and incrementality studies: Geo-Lift tests, Channel Incrementality, Brand lift, MMM validation
• Partner with product, engineering and CRM to deliver: A data driven customer lifecycle programme including key drivers of high-value customers A/B and multivariate tests across lifecycle touchpoints that optimize revenue per visit, and Incremental LTV / Revenue
• A multi-category approach to cross selling, identifying triggers and next best actions based on customer behaviour
• Implement data quality, governance (inc. GDPR) and AI usage best practices in collaboration with the US
• Be an integral part of the international team and contribute to their growth

• Bachelor’s degree in a quantitative field (e.g., Statistics, Mathematics, Economics, Data Science, or similar)
• Master’s degree is a plus
• 7+ years in a data analytics/product analytics role, ideally with a focus on supply chain within an e-commerce or technology company
• Proficiency in SQL and data visualization tools (e.g., Tableau, Looker, Power BIm Mixpanel)
• Knowledge of statistical analysis and A/B testing; familiarity with Python or R is a plus
• Ability to interpret complex data and translate it into actionable insights, with a focus on detail, accuracy, and clarity
• Excellent verbal and written communication skills, with the ability to present data insights and recommendations effectivel

Academic Key will never request login credentials or application fees for this role.