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- Tasks: Drive resilience reporting and analyse systemic risks across critical technology platforms.
- Company: Join a global enterprise undergoing a major transformation in technology operations.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative environment with excellent career advancement opportunities.
- Why this job: Make a real impact by providing insights that enhance operational resilience.
- Qualifications: Strong data analytics experience in operational resilience or enterprise risk environments.
The predicted salary is between 60000 - 80000 £ per year.
We’re supporting a global enterprise undergoing a major transformation across technology operations and resilience. We are looking for a senior Data Analyst to drive resilience reporting, systemic risk analysis, and executive-level insight across critical technology platforms and services. This role focuses on building resilience KPIs, KRIs, dashboards, and reporting by bringing together data from incidents, observability platforms, change failures, and service management tools to provide clear visibility of risk and resilience maturity.
Key Responsibilities
- Design and maintain resilience KPIs and KRIs aligned to key operational resilience outcomes
- Integrate data from incidents, observability platforms, change failures, and service management tools
- Analyse trends to identify systemic weaknesses, control gaps, and improvement opportunities
- Produce clear, executive-ready dashboards and reporting for senior leadership
- Support prioritisation of remediation activity through evidence-based insight
- Deliver resilience scorecards, systemic risk reporting, and governance-ready analysis
Ideal Background
- Strong experience in data analytics within operational resilience, technology resilience, or enterprise risk environments
- Experience building dashboards and reporting across complex technology estates
- Strong understanding of incidents, service management, change management, and observability data
- Ability to translate technical and operational data into clear leadership insight
- Strong stakeholder engagement across technology, resilience, and governance teams
- Experience in financial services or highly regulated environments is highly desirable
- Strong fits may come from operational resilience analytics, technology risk reporting, enterprise data analytics, service management analytics, or resilience assurance backgrounds
OpsRes Data Analyst in Sheffield employer: Xcede Recruitment Solutions
Contact Detail:
Xcede Recruitment Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land OpsRes Data Analyst in Sheffield
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Prepare for interviews by practising common questions related to data analytics and operational resilience. We recommend using the STAR method (Situation, Task, Action, Result) to structure your answers and showcase your experience effectively.
✨Tip Number 3
Showcase your skills through projects or case studies. Create a portfolio that highlights your ability to build dashboards, analyse trends, and deliver insights. This will give you an edge and demonstrate your hands-on experience.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace OpsRes Data Analyst in Sheffield
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the OpsRes Data Analyst role. Highlight your experience in data analytics, especially in operational resilience and technology risk. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about resilience reporting and how your background makes you a perfect fit for our team. Keep it engaging and relevant to the job description.
Showcase Your Data Skills: In your application, don’t forget to mention specific tools and methodologies you've used for building dashboards and reporting. We love seeing concrete examples of how you've turned data into actionable insights!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to track your application status. Plus, we love seeing candidates who take that extra step!
How to prepare for a job interview at Xcede Recruitment Solutions
✨Know Your Data Inside Out
As an OpsRes Data Analyst, you'll be dealing with a lot of data. Make sure you understand the key metrics like KPIs and KRIs that are relevant to operational resilience. Brush up on how to integrate data from various sources like incidents and service management tools, so you can speak confidently about your experience.
✨Showcase Your Dashboard Skills
Since building dashboards is a big part of this role, prepare to discuss your previous work in this area. Bring examples of dashboards you've created, and be ready to explain how they provided insights for senior leadership. If possible, practice presenting these examples in a clear and concise manner.
✨Understand the Bigger Picture
This role isn't just about data; it's about resilience and risk management. Familiarise yourself with the concepts of systemic risk analysis and how they apply to technology operations. Be prepared to discuss how your analytical skills can help identify weaknesses and improve resilience outcomes.
✨Engage with Stakeholders
Strong stakeholder engagement is crucial for this position. Think of examples where you've successfully collaborated with different teams, especially in technology and governance. Be ready to share how you communicated complex data insights to non-technical stakeholders, as this will demonstrate your ability to translate technical jargon into actionable insights.