zilch - Senior Product Analyst
Requirements
• Ideally, 5+ years of experience in product analytics, growth analytics, marketplace analytics, retail media analytics, performance marketing analytics, data science, or a closely adjacent role. • Strong commercial judgement and fluency in ROAS, CPA, incrementality, attribution, LTV, conversion, margin, and marketplace trade-offs. • Deep data skills. You’re fluent in SQL, comfortable working with large behavioural datasets, and able to independently investigate ambiguous problems, define the right metrics, and produce robust analysis. • Rigorous experimentation experience. You can design clean A/B tests, reason about incrementality and power, interpret results honestly, and know when data is good enough to act on. • Experience analysing digital funnels, browsing behaviour, search behaviour, clickouts, conversion, paid placements, shopping discovery, or marketplace dynamics. • Experience with segmentation, targeting, personalisation, recommendation systems, ranking, marketplace allocation, retail media, or paid media measurement would be highly valuable. • Strong product instincts, with the ability to recommend and evaluate shopping features that improve customer engagement, discovery, conversion, and monetisation. • Commercially minded and comfortable working across Product and Sales. You can understand both customer value and merchant performance, and translate analysis into decisions that improve both. • Strong communicator who can explain complex analytical concepts clearly to Product, Commercial, and Executive stakeholders. • A proactive, growth-minded operator who is comfortable building analytical foundations in a new domain where the questions, data model, and product strategy are still evolving. • Professional Memberships. • Learning Suite for e-courses. • Internal Training Programmes. • FCA & Regulatory training.
Responsibilities
• Own analytics for Zilch’s Merchant domain, covering shopping discovery, customer browsing behaviour, merchant-funded paid display and paid search, affiliate conversion, merchant ROAS, and marketplace performance. • Analyse the customer shopping journey across browsing, search, merchant discovery, unlocks, clickouts, transactions, and repeat usage to identify opportunities to improve engagement, conversion, and monetisation. • Design and analyse experiments across merchant placements and shopping features, including targeted vs random allocation, paid display exposure, search ranking, storefront changes, offer discovery, and journey improvements. • Build the measurement framework for merchant-funded growth, including incrementality, attribution windows, exposed vs control logic, ROAS, CPA, conversion, revenue per impression, and margin impact. • Partner with Product and Commercial to shape audience packages and targeting strategies, ensuring they are commercially sellable, analytically measurable, and grounded in customer behaviour. • Develop segmentation approaches for merchant-funded display and search, including category affinity, value bands, browsing intent, cross-sell audiences, lapsed users, and future lookalike opportunities. • Support the evolution from simple segment-based targeting towards more advanced allocation logic, recommendation systems, and marketplace decisioning. • Work with Data Science, Data Engineering, and Engineering on the data foundations for merchant personalisation, including event tracking, feature creation, experimentation infrastructure, and model evaluation. • Translate complex analysis into clear recommendations for Product, Commercial, and senior leadership.
Benefits
• Pension scheme. • Death in Service scheme. • Income Protection. • Permanent employees enjoy access to our Share Options Scheme. • 5% back on in-app purchases. • £200 for WFH Setup. • Health & Wellbeing: • Private Medical Insurance including; • GP consultations (video, telephone or face-to-face). • Prescribed medication. • In-patient, day-patient and out-patient care. • Mental health support. • Optical, dental & audiological cover. • Physiotherapy. • Advanced cancer cover. • Menopause support. • Employee Assistance Programme including: • Unlimited mental health sessions. • 24/7 remote GP & physiotherapy. • 24/7 helpline for emotional & practical support. • Savings & discounts on everyday shopping. • 1:1 personalised well-being consultations. • Gym membership discounts. • Family Friendly Policies: • Enhanced maternity pay. • Enhanced paternity pay. • Enhanced adoption pay. • Enhanced shared parental leave. • Learning & Development: • Hybrid working: office-based Monday, Wednesday, and Thursday; remote working Tuesday and Friday • Casual dress code. • Workplace socials. • Healthy snacks.
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