Digital Performance Analyst - Consultant

Digital Performance Analyst - Consultant

Location: Hybrid - Newcastle, Edinburgh, Glasgow, Leeds, Manchester, Birmingham, London

Permanent, Full-Time

£45,000-£55,000

Are you driven by data and motivated by impact? This role offers the opportunity to work on meaningful digital projects that improve public and private sector services. As a Digital Performance Analyst, you’ll work in multidisciplinary teams to turn data into insights and support service improvement through evidence-based decision making.

Role Summary

As a Digital Performance Analyst (Consultant level), you will:

• Work within agile product delivery teams to design and implement performance measurement frameworks that support service goals, user needs, and KPIs.
• Select and apply the appropriate analysis techniques to derive actionable insights from large data sets.
• Operate within legal, technical, and ethical guidelines, ensuring compliance and best practice.
• Guide and support junior analysts, offering feedback and mentoring to promote capability growth.
• Understand and adapt to the needs of different stages in the product lifecycle, using appropriate performance metrics accordingly.

Essential Experience

• Use of digital analytics platforms (e.g., Google Analytics, Splunk, Datadog).
• Experience working in a GDS-aligned environment within a government setting.
• Development of service performance dashboards using tools such as Google Data Studio.
• Designing and implementing performance frameworks with measurable KPIs or OKRs.
• Strong analytical skills: identifying relevant data sources, validating results, and interpreting insights.
• Data handling expertise: collection, collation, cleansing, and interpretation for insight generation.
• Effective data storytelling: using the right formats and visuals to communicate actionable insights.
• Formulating and testing hypotheses to inform continuous service improvement.
• Eligible for Security Clearance (minimum 5 years UK residency).

Desirable Experience

• Visualising data with Power BI, Tableau, QlikView, Power Query or similar.
• Experience with scripting or programming languages such as SQL, Python, R.
• Awareness of security and data privacy best practices.
• Recommending and influencing service or product changes based on analytical findings.