IT Controls Data Analyst

Zurich Insurance
Swindon
2 days ago
Create job alert

Working hours: This role is available on a part-time, job-share or full-time basis.


Salary: Competitive salary depending on experience plus an excellent benefits package.


Location: Swindon or Fareham, hybrid working.


Closing date for applications: 28/01/2026.


The opportunity

Are you passionate about turning data into actionable insights that drive better IT governance? We’re looking for an IT Controls Data Analyst to join our team and play a key role in strengthening IT control effectiveness across the organisation. In this role, you’ll dive deep into data, building dynamic dashboards, reports, and models that help us monitor and improve IT controls.


You’ll work at the intersection of technology and governance, using your analytical mindset and eye for detail to uncover trends, identify risks, and recommend improvements. If you’re excited by automation, AI-driven solutions, and the chance to make a real impact on how we manage IT controls, this is the perfect opportunity to bring your ideas to life.


Many of our employees work flexibly in a variety of different ways, including part-time, flexible hours, job share, an element of working from home or compressed hours. This is because we want the best people for our roles, and we recognise that sometimes those people aren’t available full-time. Please talk to us at interview about the flexibility you may need.


What will you be doing?

  • Gathering, cleaning, and validating IT control data from multiple sources to ensure accuracy and reliability.
  • Developing and maintaining dynamic dashboards and reports using tools like Power BI, SharePoint, and Excel to monitor IT control performance.
  • Performing in-depth data analysis to uncover trends, patterns, and anomalies in IT control compliance.
  • Collaborating with stakeholders to understand IT governance reporting needs and deliver clear, actionable insights.
  • Automating recurring reports and streamlining data processes to drive efficiency and reduce manual effort.
  • Ensuring data integrity and compliance with IT governance and regulatory standards.
  • Reconciling discrepancies and maintaining accurate, high-quality IT control datasets.
  • Supporting automation initiatives and exploring AI technologies to enhance IT control monitoring and reporting.
  • Providing ad-hoc analysis and insights to strengthen IT governance and risk management strategies.

What are we looking for?

We’re seeking a detail-oriented and analytical professional who thrives on solving complex problems and delivering accurate, high-quality work. You’ll bring strong technical expertise and a passion for continuous improvement to help us drive efficiency and innovation within IT governance.


Key qualities and skills include:



  • Analytical mindset with exceptional problem-solving skills and attention to detail.
  • Technical proficiency in data visualization (Power BI), advanced Excel, and Microsoft O365 tools, including SharePoint.
  • Data expertise in extraction, manipulation, and transformation techniques.
  • Ability to translate complex IT control insights into clear, actionable messages for stakeholders at all levels.
  • Highly organized and structured, capable of meeting deadlines under pressure.
  • Knowledge of IT control frameworks, risk & control management, compliance, and governance (desirable).
  • Adaptable and collaborative, equally effective working independently or as part of a team.
  • A continuous improvement mindset, proactive in finding efficiencies and challenging the status quo.
  • Skilled in using data for analysis, decision-making, and risk identification.
  • Interest in automation and AI adoption to enhance IT governance processes.

If you’re passionate about leveraging data and technology to strengthen governance and drive innovation, we’d love to hear from you!


What will you get in return?

Everyone’s different. That’s why at Zurich, we offer a wide range of employee benefits so our people can choose what fits them and their life. Our benefits provide real flexibility so our people can make considered choices and tailor their benefits throughout the year. Our benefits include 12% defined non-contributory pension scheme, annual company bonus, private medical insurance and the option to buy up to an additional 20 days or sell some of your holiday.


Follow the link for more information about our benefits - Employee benefits | Working at Zurich Insurance UK.


As an inclusive employer we want to ensure that all candidates feel comfortable and are able to perform at their best during the interview. You’ll have the opportunity to let us know of any reasonable adjustment or practical support needed when you apply.


Who we are

At Zurich we aspire to be one of the most responsible and impactful businesses in the world and the best global insurer. Together we’re creating a brighter future for our customers, our people and our planet.


With over 55,000 employees in more than 170 countries, you’ll feel the support of being part of a strong and stable company who are a long-standing player in the insurance industry.


We’ve made a promise to each other and every employee; to focus on sustainable impact, to care about each other’s wellbeing, to use our diverse expertise to be curious and optimistic and to develop the skills needed for our future.


If you're interested in working in a dynamic and challenging environment for a company that recognises and rewards your creativity, initiatives and contributions - then Zurich could be just the place for you. Be part of something great.


Our Culture

At Zurich, our sense of community is strong and we’re particularly passionate about diversity and inclusion, which we’ve won numerous awards for. We want our people to bring the whole of themselves to work and ensure everybody is made to feel welcome, regardless of their background, beliefs or culture. We want our employees to reflect the diversity of our customers, and so are committed to treating all of our applicants fairly and with respect, irrespective of their actual or assumed background, disability or any other protected characteristic.


We’ve an environment that places a real importance on our people’s wellbeing from a physical, mental, social and financial perspective. We work with our wellbeing partners and industry experts to provide the best advice and access to a wealth of lifestyle support. We’re also committed to continuous improvement and we offer access to a comprehensive range of training and development opportunities.


We’re passionate about supporting employees to help others by getting involved in volunteering, charitable and community activity. Our charitable arm, Zurich Community Trust, is one of the longest-established corporate trusts in the UK. In that time, we’ve awarded grants and volunteered time to deserving causes in the UK valued at over £90 million.


So make a difference. Be challenged. Be inspired. Be supported, Love what you do. Work for us.


#J-18808-Ljbffr

Related Jobs

View all jobs

IT Controls Data Analyst

IT Controls Data Analyst

IT Controls Data Analyst

IT Controls Data Analyst - Power BI & Automation

IT Controls Data Analyst - Hybrid & Flexible Hours

Data Analyst

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Machine Learning Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Are you considering a career change into machine learning in your 30s, 40s or 50s? You’re not alone. In the UK, organisations across industries such as finance, healthcare, retail, government & technology are investing in machine learning to improve decisions, automate processes & unlock new insights. But with all the hype, it can be hard to tell which roles are real job opportunities and which are just buzzwords. This article gives you a practical, UK-focused reality check: which machine learning roles truly exist, what skills employers really hire for, how long retraining realistically takes, how to position your experience and whether age matters in your favour or not. Whether you come from analytics, engineering, operations, research, compliance or business strategy, there is a credible route into machine learning if you approach it strategically.

How to Write a Machine Learning Job Ad That Attracts the Right People

Machine learning now sits at the heart of many UK organisations, powering everything from recommendation engines and fraud detection to forecasting, automation and decision support. As adoption grows, so does demand for skilled machine learning professionals. Yet many employers struggle to attract the right candidates. Machine learning job adverts often generate high volumes of applications, but few applicants have the blend of modelling skill, engineering awareness and real-world experience the role actually requires. Meanwhile, strong machine learning engineers and scientists quietly avoid adverts that feel vague, inflated or confused. In most cases, the issue is not the talent market — it is the job advert itself. Machine learning professionals are analytical, technically rigorous and highly selective. A poorly written job ad signals unclear expectations and low ML maturity. A well-written one signals credibility, focus and a serious approach to applied machine learning. This guide explains how to write a machine learning job ad that attracts the right people, improves applicant quality and strengthens your employer brand.

Maths for Machine Learning Jobs: The Only Topics You Actually Need (& How to Learn Them)

Machine learning job adverts in the UK love vague phrases like “strong maths” or “solid fundamentals”. That can make the whole field feel gatekept especially if you are a career changer or a student who has not touched maths since A level. Here is the practical truth. For most roles on MachineLearningJobs.co.uk such as Machine Learning Engineer, Applied Scientist, Data Scientist, NLP Engineer, Computer Vision Engineer or MLOps Engineer with modelling responsibilities the maths you actually use is concentrated in four areas: Linear algebra essentials (vectors, matrices, projections, PCA intuition) Probability & statistics (uncertainty, metrics, sampling, base rates) Calculus essentials (derivatives, chain rule, gradients, backprop intuition) Basic optimisation (loss functions, gradient descent, regularisation, tuning) If you can do those four things well you can build models, debug training, evaluate properly, explain trade-offs & sound credible in interviews. This guide gives you a clear scope plus a six-week learning plan, portfolio projects & resources so you can learn with momentum rather than drowning in theory.