Product Analyst delivering data-driven insights to shape Rightmove's product roadmap. Collaborating with teams to provide actionable recommendations and drive business growth in the UK property market.
Responsibilities
Perform analysis, build data models, and deliver dashboards using the Google Stack (GA4, BigQuery, Looker) and DBT.
Provide actionable insights and recommendations that shape the product roadmap and drive business growth.
Collaborate closely with product teams to understand goals, analyse user behaviour, and identify opportunities for improvement.
Empower stakeholders by surfacing relevant data and supporting self-serve and data maturity initiatives.
Champion a data-driven culture by educating and enabling colleagues across the business.
Analyse A/B test performance and make recommendations to uphold data-driven decision making.
Support the drive for AI-empowered features and innovation.
Partner with product managers and engineers to design and launch features that improve the experience for millions of users.
Identify and solve real business challenges by uncovering actionable insights from complex data sets.
Lead the analysis of A/B tests and experiments, ensuring our decisions are always backed by evidence.
Mentor and support colleagues by sharing best practices in analytics, experimentation, and data storytelling.
Play a key role in shaping our data culture—championing new tools, techniques, and ways of working that keep Rightmove at the forefront of digital analytics.
Requirements
Has minimum 3-5 years’ proven experience in analytics roles with an agency or in-house
Has a proven track record of 3 years minimum in delivering data-driven insights that make a measurable impact in a fast-paced, dynamic environment.
Proven and demonstratable experience with GA4, Google Tag Manager, SQL within a commercial environment (either agency or inhouse).
Proven and demonstratable experience of dashboarding tools (Looker, Tableau, Power BI).
Has a background in agency analytics, product-focused businesses, e-commerce, SaaS, or marketplaces.
Can demonstrate deep understanding data implementation principles, including tracking tags and data layers, and can troubleshoot basic issues.
Proven track record of independently analysing customer journeys and locating the right data points for meaningful analysis.
Has experience with experimentation and A/B testing tools (e.g., VWO, Optimizely) and can confidently interpret test results.
Is passionate about experimentation, with an understanding of experimental design and an interest in AI features.
Builds strong partnerships with stakeholders and communicates complex insights clearly to both technical and non-technical audiences.
Passionate about learning new tools with a growth mind set and can adapt quickly.
Is eager to learn, grow, and keep up with industry trends (AI, analytics, experimentation).
Works independently, manages data sets, and solves problems methodically.
Is personable, friendly, and contributes positively to a collaborative, psychologically safe team culture.
Benefits
Cash plan for dental, optical and physio treatments
Private Medical Insurance
Pension and Life Insurance
Employee Assistance Plan
27 days holiday plus two (paid) volunteering days a year to give back, and holiday buy schemes
Hybrid working pattern with 2 days in office
Contributory stakeholder pension
Life assurance at 4x your basic salary to a spouse, family member or other nominated person in your life
Competitive compensation package
Paid leave for maternity, paternity, adoption & fertility
Travel Loans, Bike to Work scheme, Rental Deposit Loan
Charitable contributions through Payroll Giving and donation matching
Access deals and discounts on things like travel, electronics, fashion, gym memberships, cinema discounts and more
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