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Product Analyst

Product AnalystProduct AnalystFull TimeRemoteSeniorTeam 5,001-10,000Since 1937H1B SponsorCompany SiteLinkedIn

Location

United Kingdom

Posted

10 days ago

Salary

0

Seniority

Senior

Bachelor DegreeEnglishAmazon RedshiftBigQuerySQLTableau

Job Description

Product Analyst

RS

• Analyse customer behaviour across key digital journeys to identify friction points, opportunities and changes in performance. • Translate behavioural data into simple, actionable recommendations for Product, UX, Experimentation and business stakeholders. • Combine quantitative and qualitative insights, including analytics, user research, voice of the customer, and session replay tools where available. • Help stakeholders understand the "why" behind performance by connecting customer behaviour, product changes and commercial outcomes. • Support teams in creating structured growth hypotheses based on data, customer insight and business priorities. • Work with Product Managers, UX, Engineering and business stakeholders to turn opportunities into experiment ideas, discovery questions or roadmap actions. • Support the design of A/B tests and other structured test-and-learn approaches. • Build, maintain and improve Airtable bases that support experimentation, product analytics, insight management and operational workflows. • Identify opportunities to reduce repetitive manual work through automation, low/no-code workflows and AI-supported processes.

Job Requirements

  • Experience in a data analyst, product analyst, experimentation, CRO, digital analytics or growth analytics role.
  • Good knowledge of A/B testing, experimentation principles and core statistical concepts.
  • Experience using digital/product analytics and experimentation tools, such as Statsig, Adobe Analytics, Google Analytics, Amplitude, Contentsquare, or similar.
  • Experience building dashboards, reporting views or insight tools using Power BI, Tableau, Looker Studio, Airtable or similar platforms.
  • Strong working knowledge of Airtable, including bases, linked records, forms, interfaces, views and automations.
  • Experience creating structured workflows, repositories, trackers or operating systems that improve team efficiency and visibility.
  • An interest in practical AI use cases, particularly where AI can improve reporting, documentation, insight generation or workflow efficiency.
  • Foundational SQL skills and experience working with large datasets in a warehouse environment, such as Snowflake, BigQuery, Redshift or similar.

Benefits

  • Financial - pension/retirement; life assurance; salary finance (payroll deduction loan scheme)
  • Wellbeing - medical plans; health screening; critical illness; disability insurance; holiday / paid time off; employee assistance programme; discounted gym/health club membership
  • Lifestyle - transportation assistance schemes (e.g., cycle to work, travel loans, car leasing); onsite catering/lunch vouchers; retail discounts
  • Spotlight – our global recognition programme provides a platform to highlight and recognise people role modelling our values

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