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.