Performance Analyst in Manchester

Responsibilities

• Deliver analysis, especially using digital analytics, to help product owners make decisions based on evidence.
• Help the project team to measure and assess outcomes, for example, 'what success looks like', developing hypotheses and measurement frameworks.
• Identify where user experience can be improved and work with teams to overcome barriers.
• Work closely with user researchers to combine the ‘what’ and ‘why’ of user behaviour.
• Provide recommendations for action based on user data in easily understandable and engaging ways - such as show and tells, blog posts, dashboards, slide deck presentations.
• Work on GA4 data layer implementations from start to finish, including planning, designing schema, deployment, and ongoing optimisation.
• Utilise Google Tag Manager (GTM) and SQL, enabling you to implement and troubleshoot GA4 tagging.
• Feed into data architecture plans that ensure accurate and reliable data collection, including setting up and maintaining data validation processes specific to GA4, and contributing to data processing pipelines that create clean and useful analytics outputs.
• Contribute to the performance analysis community; assist with training and knowledge sharing of digital analysis principles to wider audiences and expand your own and others’ performance analysis skills.

Person specification

• Can demonstrate strong proficiency with digital analytics platforms, such as Google Analytics (specifically GA4).
• Experienced working with high volumes of data and using analytical environments to evaluate and analyse data, including GCP (Google Cloud Platform), for example tools such as Google BigQuery, Dataform, social media analytics and APIs.
• Have experience in creating performance frameworks - specifically what good looks like and how it should be measured (KPIs).
• Possess experience of working in an agile, project-based environment, focused on delivering user needs.
• Succeed in developing implementation strategies - including data architecture, quality assurance and administration.
• Have knowledge in running A/B and multivariate testing, including the selection and setting up of appropriate tooling.
• Understand and have practical experience of using different data tools to transform and analyse different data sets, including data analysis and visualisation tools, e.g. Looker Studio and languages e.g. SQL or Python.
• Can gather and understand technical requirements and work collaboratively with developers and other data professionals to support building suitable technical solutions such as analytics tracking or data pipelines.
• Demonstrates strong attention to detail when working with data to ensure accuracy and reliability.