Checkatrade
Platform for finding a tradesperson
ProductAnalyst
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Product Analyst at Checkatrade. Skills: SQL, funnel analytics, A/B testing, Tableau, Python. Digging into conversion funnels across device, traffic source and landing page to uncover what's driving performance and where the biggest opportunities lie. Partnering with Product and Engineering to design, run and interpret A tests, bringing statistical rigour to the decisions that shape the customer journey”
What You'll Achieve.
move the needle for real homeowners and tradespeople; shape how we evolve our platform; directly influences what gets built, what gets tested, and how we grow
Industry & Context.
Digging into conversion funnels; uncover what's driving performance and where the biggest opportunities lie; Translating complex analysis; digging through ambiguity to find the story hiding in the data
not open to visa sponsorship applications
What They're Looking For.
Must Have
SQL skills, confidence working across complex, multi-source datasets, Hands-on experience with funnel analytics and user, solid grasp of A tests, experience auditing tracking specs or event schemas
Nice to Have
AI tools into your daily workflow
What You'll Do.
Digging into conversion funnels across device
traffic source and landing page to uncover what's driving performance and where the biggest opportunities lie
Partnering with Product and Engineering to design
run and interpret A tests
bringing statistical rigour to the decisions that shape the customer journey
Translating complex analysis into sharp
actionable recommendations
presenting them confidently in writing and in person
Working across multiple data sources to build deep-dive analyses
digging through ambiguity to find the story hiding in the data
Managing your own backlog of analytical work with a high degree of ownership
prioritising what matters most and keeping pace in a product team that moves quickly
How You'll Work.
Team & Collaboration
Partnering with Product and Engineering
Communication Scope
Translating complex analysis into sharp, actionable recommendations; presenting them confidently in writing and in person
Process & Methodology
Managing your own backlog of analytical work with a high degree of ownership, prioritising what matters most
Full Job Description
As our next Product Analyst, you'll be the analytical engine behind some of Checkatrade's most important product decisions. You'll own the insights that shape how we evolve our platform, from the moment someone lands on our site to the moment they submit a job, turning complex data into clear recommendations that move the needle for real homeowners and tradespeople. This is a high-visibility role where your work directly influences what gets built, what gets tested, and how we grow. Forget long lists, here’s what you’ll actually spend your time on: - Digging into conversion funnels across device, traffic source and landing page to uncover what's driving performance and where the biggest opportunities lie - Partnering with Product and Engineering to design, run and interpret A/B tests, bringing statistical rigour to the decisions that shape the customer journey - Translating complex analysis into sharp, actionable recommendations, presenting them confidently in writing and in person. - Working across multiple data sources to build deep-dive analyses, digging through ambiguity to find the story hiding in the data - Managing your own backlog of analytical work with a high degree of ownership, prioritising what matters most and keeping pace in a product team that moves quickly It’s not about ticking every box. It’s about turning up curious, ready to crack on. You’ll do well here if you bring: - Strong SQL skills and confidence working across complex, multi-source datasets to answer hard product questions. - Hands-on experience with funnel analytics and user behaviour; you understand how sessions convert and why they don't. - A solid grasp of experimentation; you've designed and interpreted A/B tests and know what good statistical thinking looks like in practice. - A proactive approach to data quality, with a willingness to investigate upstream sources. You have experience auditing tracking specs or event schemas to understand data generation, not just consumption - Prof
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