UX Data Analyst — Insight-Driven Web Experience (Hybrid)

Be Applied Ltd

Swindon

Hybrid

GBP 42,000 - 54,000

Full time

4 days ago
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Benefits offered by this job

Work from home option
Wellness programs
Employee Assistance Programme
Additional parental leave
Enhanced maternity and paternity leave
Paid emergency leave
Sabbatical Opportunities
Mentoring/coaching
Payroll giving
Salary sacrifice
Team social events
Team lunches
Extracurricular clubs
Cycle to work scheme

Job summary

Historic England is seeking a Data Analyst (UX) to join the Digital Engagement Team in Swindon with a hybrid working pattern between office and home. This full-time, fixed-term contract runs until March 2029.

The role focuses on gathering and interpreting data on user interactions across our digital channels and delivering actionable insights to guide product decisions. You will configure analytics, monitor performance, and develop reports and visualisations to support evidence-led evolution

Qualifications

  • Experience in configuring analytics tracking, creating reports and visualisations, and interpreting data to deliver actionable insights for digital products.

Responsibilities

  • Configure analytics tracking and monitor feature performance.
  • Create clear reports and visualisations for evidence-led product evolution.
  • Collaborate with Developers and Designers in multidisciplinary teams.
  • Ensure accessibility compliance with WCAG 2.2 AA guidelines.

Skills

Analytics
Data interpretation
Team collaboration

Tools

Google Tag Manager
GA4

Job description

Historic England is seeking a Data Analyst (UX) to join the Digital Engagement Team in Swindon with a hybrid working pattern between office and home. This full-time, fixed-term contract runs until March 2029.

The role focuses on gathering and interpreting data on user interactions across our digital channels and delivering actionable insights to guide product decisions. You will configure analytics, monitor performance, and develop reports and visualisations to support evidence-led evolution

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