At a Glance
- Tasks: Transform critical services using data insights to enhance performance and drive innovation.
- Company: Join CGI, a leading inclusive employer and a top-rated workplace.
- Benefits: Enjoy competitive salary, private healthcare, pension scheme, and career growth opportunities.
- Other info: Hybrid role with a supportive community and excellent career development.
- Why this job: Make a real impact by optimising services and influencing strategic decisions.
- Qualifications: Experience in IT performance analysis and strong analytical skills required.
The predicted salary is between 45000 - 55000 £ per year.
This job is with CGI, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly.
At CGI, you'll play a key role in transforming how critical services are monitored, measured, and continuously improved. As a Performance Analyst, you'll use data-driven insights to enhance service resilience, optimise performance, and help deliver outstanding outcomes for our clients. Working alongside talented colleagues in a collaborative environment, you'll have the opportunity to influence strategic decisions, solve complex challenges, and drive meaningful innovation through modern observability and automation practices. You'll be empowered to take ownership of your work, supported in your professional growth, and encouraged to make a lasting impact across high-profile programmes.
Due to the secure nature of the programme, you will need to hold UK Security Clearance or be eligible to go through this clearance. This is a hybrid position.
Your future duties and responsibilities:
- Help shape the performance and operational excellence of complex, business-critical services by turning data into actionable insight.
- Analyse application, infrastructure and user experience metrics to identify trends, uncover root causes, and recommend improvements that enhance reliability, resilience and customer outcomes.
- Work closely with engineering, service management and client stakeholders, using modern observability platforms and automation to support informed decision-making and continual service improvement.
- Influence how services evolve by developing meaningful performance measures, improving reporting capabilities and driving a proactive, evidence-based approach to operational management.
- Identify risks earlier, reduce recurring issues and maximise the value of observability and AIOps capabilities across the service.
Key responsibilities:
- Monitor & Analyse application, infrastructure and service performance using Grafana, Kibana, AIOps Nova and related observability platforms.
- Develop & Measure KPIs, SLIs and operational performance frameworks aligned to business and client objectives.
- Investigate & Resolve incidents by performing detailed root cause analysis using telemetry, logs and operational data.
- Automate & Optimise reporting and analytical processes using Python, SQL and reusable automation solutions.
- Produce & Present insightful dashboards, reports and recommendations for both technical and non-technical stakeholders.
- Identify & Improve service trends, performance bottlenecks and opportunities to enhance resilience and customer experience.
- Collaborate & Influence engineering and service teams to validate improvements and measure their effectiveness.
- Support & Forecast capacity planning and long-term service optimisation through trend analysis and performance modelling.
- Drive Continuous Improvement by promoting data-driven decision making and evolving observability best practices.
Required qualifications to be successful in this role:
To succeed in this role, you'll have experience analysing the performance of complex IT services and translating operational data into meaningful business insights. You'll be comfortable working with observability platforms, automation tools and large datasets, while communicating confidently with both technical and business stakeholders. A passion for continual service improvement, strong analytical thinking and a collaborative approach will enable you to make a significant impact.
Essential Skills:
- Experience analysing application, service or operational performance within complex IT environments.
- Strong analytical and problem-solving skills with the ability to interpret complex datasets.
- Hands-on experience with Grafana, Kibana or similar observability platforms.
- Proficiency in Python for automation, scripting and data analysis.
- Experience using SQL and data interrogation techniques.
- Understanding of application architectures, APIs, cloud platforms and distributed systems.
- Experience defining and reporting against KPIs, SLIs and service performance metrics.
- Excellent communication skills with the ability to present technical insights to diverse audiences.
- Degree in Computer Science, Data Analytics, Mathematics, Engineering, Information Systems or equivalent professional experience.
Desirable:
- Experience with AIOps Nova or other AIOps platforms.
- Knowledge of OpenTelemetry and modern observability frameworks.
- Familiarity with Site Reliability Engineering (SRE) principles.
- Experience working within Government, regulated or enterprise environments.
- ITIL Foundation certification.
- AWS, Azure, Python, Data Analytics or Observability-related certifications.
Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you'll reach your full potential because you are invited to be an owner from day 1 as we work together to bring our Dream to life. That's why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company's strategy and direction.
Your work creates value. You'll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise.
You'll shape your career by joining a company built to grow and last. You'll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons.
Performance Analyst employer: CGI
CGI is an exceptional employer that fosters a culture of inclusivity and collaboration, making it a great place for Senior Programme Managers to thrive. With a commitment to professional growth, competitive benefits including a share scheme, and recognition as one of the UK's Best Employers, CGI offers a supportive environment where you can lead transformative projects in the energy sector while working alongside talented colleagues in Aberdeen. Join us to not only advance your career but also to be part of a community that values diversity and innovation.
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We think this is how you could land Performance Analyst
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We think you need these skills to ace Performance Analyst
Some tips for your application 🫡
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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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at CGI. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at CGI
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
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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.
