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For Companies At a Glance
- Tasks: Lead experiments to enhance how consumers connect with tradespeople on our platform.
- Company: Join Checkatrade, the UK's top platform for finding trusted tradespeople.
- Benefits: Enjoy a flexible 4-day work week and be part of a fast-growing team.
- Why this job: Make a real impact by improving user experiences through data-driven insights and innovative features.
- Qualifications: 4+ years in analytics or experimentation; strong SQL skills and A/B testing knowledge required.
- Other info: Work closely with product managers and engineers in a collaborative environment.
The predicted salary is between 48000 - 72000 £ per year.
Job Description
About the role
We are hiring a Marketplace Experimentation Lead to join the Matching team, reporting into the Marketplace Analytics Manager.
Matching is the function responsible for how we connect consumers with the right tradespeople. It covers the search experience, offer logic, and the rules that determine visibility and prioritisation. The team is evolving from a lead-based model toward a more integrated, intelligent marketplace. You’ll be central to that transition.
You’ll work closely with product managers and engineers to design experiments, evaluate impact, and shape how users and trades interact with our platform. From AI-powered search to instant bookings, this is about rethinking Matching at its core – not just making marginal gains.
Key outcomes include improving relevance of search results, job completion rate, and fairness of exposure for trades.
Location – Kings Cross, 4 day per week
Where do you fit in?
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Design, execute, and analyse experiments to improve Matching outcomes, with a focus on search and offer logic.
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Deep dive into complex behavioural data to generate actionable insights and shape product direction.
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Break down ambiguous, multi-sided problems into clear hypotheses and testable changes.
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Balance the needs of consumers, trades, and the business, navigating trade-offs to improve marketplace-wide KPIs.
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Support the development and rollout of new Matching features, including AI-driven functionality and instant bookings.
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Build and maintain frameworks for evaluating Matching performance and guiding prioritisation.
What do you need to succeed?
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4+ years in analytics, experimentation, or optimisation roles within digital product, marketplace, or e-commerce environments.
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Strong understanding of A/B testing and experimentation methods.
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Highly proficient in SQL, with experience working across large behavioural datasets.
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Skilled in problem decomposition, critical thinking, and navigating competing priorities.
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Confident working in cross-functional teams alongside engineers and product managers.
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Knowledge of search relevance, ranking systems, or marketplace mechanics is a plus.
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Familiarity with Python, R or similar is useful but not essential.
Why this role
This is a high-impact opportunity to help shape how consumers and tradespeople connect. You’ll work on one of the most strategically important areas of our product, bringing curiosity, rigour, and structure to improve the Matching experience through experimentation and data.
About us
We’re Checkatrade – the UK’s leading platform for finding a tradesperson. With more than 50,000 trades listed and over 6 million reviews, we help homeowners get jobs done right and help tradespeople grow their business.
We’re growing fast, with big plans to become the go-to brand for home improvements. If you care about great work, take pride in the details, and want to make an impact, you’ll fit right in.
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Marketplace Analytics Lead employer: Checkatrade
Contact Detail:
Checkatrade Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Marketplace Analytics Lead
✨Tip Number 1
Familiarise yourself with the latest trends in marketplace analytics and experimentation. Understanding how AI and machine learning are shaping search relevance can give you an edge in discussions during interviews.
✨Tip Number 2
Network with professionals in the field of analytics and product management. Attend industry meetups or webinars to connect with others who work in similar roles, as they may provide insights or even referrals for positions like the one at StudySmarter.
✨Tip Number 3
Prepare to discuss specific examples of past projects where you've successfully designed and executed experiments. Highlight your ability to analyse data and derive actionable insights that led to measurable improvements.
✨Tip Number 4
Brush up on your SQL skills and be ready to demonstrate your proficiency. You might be asked to solve a problem or analyse a dataset during the interview, so practice common SQL queries and data manipulation techniques.
We think you need these skills to ace Marketplace Analytics Lead
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in analytics, experimentation, and optimisation. Focus on your achievements in A/B testing and any specific projects that relate to marketplace or e-commerce environments.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Discuss how your skills align with the job description, particularly your experience with SQL and problem decomposition. Mention your interest in improving user experiences through data-driven decisions.
Showcase Relevant Skills: Emphasise your proficiency in SQL and any familiarity with Python or R. If you have experience with search relevance or ranking systems, make sure to include that as well. This will demonstrate your technical capabilities to the hiring team.
Prepare for Potential Questions: Think about how you would approach designing experiments and analysing data. Be ready to discuss specific examples from your past work that showcase your critical thinking and ability to navigate competing priorities in cross-functional teams.
How to prepare for a job interview at Checkatrade
✨Understand the Role
Make sure you have a clear understanding of what the Marketplace Analytics Lead role entails. Familiarise yourself with concepts like A/B testing, experimentation methods, and how they apply to improving search relevance and job completion rates.
✨Showcase Your Analytical Skills
Prepare to discuss your experience with SQL and handling large behavioural datasets. Be ready to provide examples of how you've used data to drive decisions and improve outcomes in previous roles.
✨Demonstrate Cross-Functional Collaboration
Highlight your experience working with product managers and engineers. Share specific examples of how you've successfully navigated competing priorities and collaborated on projects to achieve common goals.
✨Prepare for Problem-Solving Questions
Expect to be asked about how you approach complex problems. Practice breaking down ambiguous issues into clear hypotheses and testable changes, as this will showcase your critical thinking and problem decomposition skills.
