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.