Manchester, United Kingdom | Posted on 27/01/2025
Performance Analysts deliver performance analysis that helps services to meet the Government’s Digital by Default Service Standard. They are responsible for delivering high-quality analysis of departmental web analytics and other data in relation to digital services.
The key purpose of this role is to deliver accurate and efficient performance reporting and analytical insight for the digital services that they work with. They ensure the business understands how people are using our digital service(s) and will focus on undertaking analysis that will drive customer-centric innovations and investments to improve the user experience.
Key Responsibilities
1. Take a lead role in the development of performance metrics and key performance indicators (KPIs) for the service, build dashboards, and provide in-depth reports to communicate key metrics.
2. Track/measure customer behaviour and use data to inform iterative service changes. Follow a process of continual iteration and measurement to monitor, iterate, and improve.
3. Communicate service performance, actionable stories, and business insights from data to stakeholders and the team to inform user-centric design decisions.
4. Analyse data from web analytics tooling such as Google Analytics.
5. Validate/assure the implementation of web analytics.
6. Identify additional data sources that can be used to measure performance.
Typical Performance Analyst Experience Required
1. Experience in Agile, working closely with User Researchers, Content Designers, Interaction Designers, Business Analysts, Developers, Product Owners, Delivery Managers, and others in Agile teams.
2. Experience of building team capability through role modelling, mentoring, and coaching.
3. Ability to manage relationships with non-technical colleagues and work in a collaborative, inclusive way.
4. Interpret A/B and multivariate testing to enable the effects of changes to the service to be tested and support iterative improvements.
5. Expertise in digital performance analysis and the configuration and deployment of digital analytics solutions, such as Google Analytics.
6. Influence teams to ensure trials and iterations are designed to produce reliable and trustworthy evidence, ensuring findings are robust (e.g., tested for statistical significance).
7. Work with agile teams to ensure their service meets the performance requirements in relation to analytics set out in the Digital by Default Service Standard.
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