Senior Product Data Analyst

We’re looking for a Senior Product Analyst to join our Analytics team and help shape the future of our digital experience across web and app.

As a key member of the Analytics team, you’ll be embedded within Product squads (including Engineering, Design, and UXR) to surface insights that drive meaningful improvements in our customer journey. You’ll partner closely with Product Managers to form hypotheses, design robust experiments, and influence product roadmaps with data-driven recommendations.

This is a 6 month FTC with hybrid working. You will be expected on site in our offices in Central London twice per week, with the rest of the time spent working from home.

What you’ll be doing

• Drive and influence initiatives within Product squads.
• Embed yourself in the squads and surface meaningful insights to drive change and awareness.
• Ensure experiment selection and execution conducted robustly to maximise high value opportunities.
• Proactively identify opportunities that add value to the Product roadmap.
• Insightful analysis to support test success/failure and drive iteration process
• Work with Product to scope and agree on measurement plans.
• Create frameworks and best practices to scale across teams (covering Experimentation, Event Tracking, User Journey Tools, etc)
• Engage and drive opportunities forward that strengthen relationships between HeliosX and third parties (ie CMS, Customer Journey tools, etc).
• Partner with Product, Growth, Engineering, and Data to ensure robust data infrastructure.
• Influence the product strategy through data-driven insights.
• Communicate findings clearly to stakeholders, enabling data-informed decision making.
• Share insights cross functionally within the broader analytics and leadership team
• Support the broader analytical and data objectives of the business in collaboration with analytics colleagues

Who you are

• Experience in a product analytics role within an e-commerce environment.
• Hands-on experience with surfacing customer journeys into actionable outcomes.
• Strong track record in statistical analysis and experimentation design (A/B testing, multivariate testing, causal inference)
• Bachelor’s or Master’s degree in a quantitative discipline (Mathematics, Economics, Engineering, Statistics, Computer Science, Physics, etc.).

Skills

• Advanced SQL, Python (nice to have).
• Proficient with User Journey mapping tools (ie Mixpanel, Amplitude, GA4)
• Proficiency with analytics and data visualisation tools (Metabase, Looker, Tableau, PowerBI).
• Strong data interpretation and storytelling ability.
• Excellent written and verbal communication skills.

Here’s What You Can Expect

• 25 Days Holiday (+ public holidays)
• Private healthcare, including dental and vision cover
• Employee Pension with Smart Pension and enhanced parental leave
• Cycle-to-work and Electric Car schemes
• Free monthly products from Dermatica and MedExpress, plus family discounts
• Home office allowance
• Wellbeing perks: Headspace subscription, gym discounts, L&D budget, and free Audible subscription

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