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Digital Product Analyst

Location:
Luton, Bedfordshire, East Anglia, England
Salary:
£55000 per annum
Job Type:
Permanent
Date Posted:
8 days ago
Expiry Date:
01/06/2025
Job Ref:
BH-120737-1
Start Date:
17/04/2025
Contact:
Paul Culmer
Contact Email:
paul.culmer@xcede.com
Specialism:
EnglandDataDigital & Product AnalyticsMarketing & Insight AnalyticsBusiness Analysis
Digital Product Analyst
Salary: £55,000 + Bonus
Location: Luton - Bedfordshire
Please note: We are not able to offer sponsorship for this role.
We are seeking an experienced Digital Product Analyst with a passion for data, experimentation, and digital optimisation. This role is ideal for someone who thrives in a fast-paced environment, is highly analytical, and enjoys working at the intersection of product, data, and user experience.
Key Responsibilities
  • Leverage advanced Web Analytics tools (especially Google Analytics 4) to monitor and evaluate user behaviour across digital platforms.
  • Create compelling, data-driven dashboards using platforms such as Looker Studio, Tableau, or Looker.
  • Design and analyse experiments using MVT, A/B testing, and other analytics tools such as Optimizely.
  • Apply robust experimentation methodology, including hypothesis design, sample size calculation, test duration planning, and statistical significance analysis.
  • Query and manipulate large datasets using BigQuery and SQL to extract actionable insights.
  • Communicate findings clearly to stakeholders, ensuring alignment between data insights and product decisions.
  • Collaborate across product, design, engineering, and marketing teams to support data-led decision making.
  • Contribute to the evolution of analytics processes in a dynamic, high-growth environment.
Key Skills and Experience
  • Strong experience with web analytics tools, especially GA4.
  • Proficiency with dashboarding and data visualisation platforms such as Looker Studio, Tableau, or Looker.
  • Hands-on experience with experimentation platforms (e.g. Optimizely) and a strong understanding of the MVT/A/B testing lifecycle.
  • Proficient in SQL and experience working with Google BigQuery or similar data warehouses.
  • Strong interpersonal and communication skills with the ability to build effective relationships across teams.
  • Commercially minded with excellent problem-solving and numerical analysis capabilities.
  • Self-starter with the ability to prioritise tasks, manage ambiguity, and work independently.
  • Comfortable working in a fast-paced and constantly evolving environment.
This is a great opportunity for a data-driven and customer Insight individual who wants to make a tangible impact on product development and customer experience.

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Paul Culmer

Paul Culmer

Specialisms: Data, Business Intelligence, Marketing & Insight Analytics
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