At a Glance
- Tasks: Lead performance analysis and create actionable insights for projects and services.
- Company: Join a forward-thinking company focused on data-driven solutions.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on continuous improvement and mentorship.
- Why this job: Make a real impact by transforming complex data into clear recommendations.
- Qualifications: Strong experience in performance analysis and proficiency in analytical tools.
The predicted salary is between 54000 - 66000 £ per year.
Role overview
The Senior Performance Analyst will lead the day-to-day performance analysis for projects and services, helping teams understand what is working, what needs to improve and how success should be measured.
The role requires strong analytical judgement, clear communication and the ability to guide others.
You will work with multidisciplinary teams across data, AI, software engineering, product, QA and delivery to create practical outcomes for clients and end users.
Key responsibilities
- Design and maintain performance measurement frameworks, including KPIs, goals, user needs and benefits measures.
- Carry out complex analysis using multiple data sources and translate findings into clear recommendations.
- Develop dashboards, reports and visual stories that communicate service performance to different audiences.
- Lead quality assurance of performance data, including cleansing, validation and explanation of limitations.
- Work closely with product, delivery, user research, data and client teams throughout the product life cycle.
- Support, delegate to and upskill other analysts where appropriate.
Essential Skills And Experience
- Strong experience in digital or service performance analysis, including KPI design and reporting.
- Proficiency in analytical tools and the ability to apply a range of techniques to service data.
- Ability to communicate complex data as compelling, accessible and actionable insight.
- Understanding of product or service life cycles and how measures change across discovery, delivery and live service.
- Experience integrating quantitative data with user research, surveys or other qualitative evidence.
- Good knowledge of data privacy, security and analytical quality assurance.
Desirable Skills And Experience
- Experience with Power BI, GA4, SQL, Python, R or similar analytics tools.
- Experience mentoring junior analysts or improving analytical processes.
- Experience in Agile, public-sector or user-centred digital delivery.
- What success looks like
- Complex analysis is converted into practical recommendations.
- Teams have reliable measures for progress, value and user outcomes.
- Analytical processes are repeatable, assured and continuously improved.
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Senior Performance & Insight Lead in London employer: AWTG Ltd
As a leading employer in the data science field, we offer a dynamic remote work environment that fosters collaboration across multidisciplinary teams. Our commitment to employee growth is evident through mentorship opportunities and a focus on responsible AI practices, ensuring that our team members not only excel in their roles but also contribute to meaningful outcomes for clients. Join us to be part of a culture that values innovation, ethical practices, and the continuous development of your skills.
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We think you need these skills to ace Senior Performance & Insight Lead in London
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Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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How to prepare for a job interview at AWTG Ltd
✨Brush Up on Your Statistics
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
