At a Glance
- Tasks: Lead projects using data, automation, and AI to enhance controls and drive innovation.
- Company: Join Experian, a global leader in data and technology with a diverse workforce.
- Benefits: Enjoy a competitive salary, hybrid work, 25 days leave, and great health benefits.
- Other info: Dynamic environment with opportunities for growth and collaboration across global teams.
- Why this job: Make a real impact by transforming risk management with cutting-edge technology.
- Qualifications: Strong skills in data analytics, automation, and AI; project delivery experience required.
The predicted salary is between 60000 - 72000 £ per year.
Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We also assist millions of people to realize their financial goals and help them save time and money. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more industry segments. We invest in people and new advanced technologies to unlock the power of data.
Why this role is important to us
At Experian, we are transforming how risk and controls are managed through the intelligent use of data, automation, and AI. This role is critical in driving that transformation—strengthening our global controls environment through insight‑led decision‑making, innovative technology, and strong stakeholder engagement. You'll work across functions to influence outcomes, manage key projects, and ensure controls are effective, scalable, and future‑ready.
Work that matters – What you'll be doing
- Lead and manage key projects enhancing controls through data, automation, and AI
- Engage and influence a broad range of global stakeholders across Risk, Audit, and Technology
- Embed AI‑driven solutions to automate and optimise controls testing and monitoring
- Apply advanced data analytics to evaluate control performance and identify emerging risks
- Develop reporting frameworks and scalable, governed automation solutions
Qualifications
What you'll need to bring to the role & Experian
- Strong technical expertise in data analytics, automation, and AI, including advanced Python skills
- Proven experience delivering end‑to‑end projects in data and automation
- Strong understanding of risk & controls frameworks, ideally within a regulated environment
- Experience developing analytical and automation solutions that drive measurable outcomes
More about you
- Delivery‑focused, with strong ownership of projects and outcomes
- Able to translate technical insights into business value
- Experience in managing multiple stakeholders, priorities, and competing demands
- Strong governance and risk mindset
- Experience working in a regulated environment would be advantageous
Additional Information
- Hybrid role - 40% office base
- Great compensation package and discretionary bonus plan
- Core benefits include pension, BUPA healthcare and more
- 25 days annual leave plus bank holidays
Experian is proud to be an Equal Opportunity and Affirmative Action employer. Innovation is an important part of Experian's DNA and practices, and our diverse workforce drives our success. Everyone can succeed at Experian and bring their whole self to work, irrespective of their gender, ethnicity, religion, colour, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.
Analytics and Automation Manager in Nottingham employer: Experian Health
Experian is an exceptional employer that champions innovation and diversity, providing a dynamic work environment where employees can thrive. With a strong focus on employee growth, we offer comprehensive benefits including a competitive compensation package, BUPA healthcare, and generous annual leave, all while fostering a culture of collaboration and engagement across global teams. Located in Dublin, our hybrid work model allows for flexibility, ensuring that you can balance your professional and personal life effectively while contributing to meaningful projects that drive transformation in data and technology.
StudySmarter Expert Advice🤫
We think this is how you could land Analytics and Automation Manager in Nottingham
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We think you need these skills to ace Analytics and Automation Manager in Nottingham
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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Craft a Tailored Cover Letter:For a full-time role at Experian Health, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Experian Health. 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 Experian Health
✨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!
✨Showcase Your Projects
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
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Experian Health!
✨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.
