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Senior Analyst (12-Month Secondment)

Experian

Nottingham, England, United Kingdom Hybrid permanent

Posted: March 24, 2026

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Quick Summary

The Senior Analyst role at Experian requires a highly analytical mindset, strong programming skills in Python and SQL, and excellent communication and problem-solving abilities.

Job Description

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 invest in people and new advanced technologies to unlock the power of data. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 22,500 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at experianplc.com.

Internal Grade D/EB8

Experian Consumer Services - Analytics are looking for an experienced and commercially minded Senior Analyst to join our analytics team on a 12-month maternity cover. This is a role at the heart of decision-making, supporting both Product and Marketing teams with applicable, insight-led analytics.

This role is ideal for someone who enjoys turning complex data into compelling stories that influence business outcomes. You'll help shape how we understand our customers, using segmentation and predictive modelling to guide smarter decisions and measurable growth.

You'll work independently, managing projects and partner relationships, while being part of a collaborative analytics team that values curiosity and rigour. We're passionate about raising the bar for analytical excellence — improving how we work, challenging assumptions, and sharing knowledge to strengthen both personal and team capability.

This is a Hybrid, Nottingham or London-based role (40% working in the office) reporting to the Analytics Manager.

What You'll Be Doing

• Lead analytics projects that support strategic Product and Marketing plans
• Develop customer insights that inform targeting, positioning, and growth strategies
• Build and deploy segmentation models and predictive models to better understand customer behaviour
• Translate complex analysis into clear, engaging narratives that inspire action
• Manage partners across Product and Marketing, aligning analytical outputs to business priorities
• Identify opportunities where data can unlock commercial value
• Contribute to a culture of knowledge sharing, mentoring and promoting best practice in analytics

• SQL & Python experience focused on querying large datasets
• Background in translating data into commercially focused insights
• Strong stakeholder management skills – comfortable influencing at multiple levels
• Experience in a technical, analytics focused role.
• Experience delivering value through personalisation such as predictive analysis and segmentation
• Data build tool (DBT) desirable
• Experience building dashboards in visualisation tools such as Tableau desirable

Benefits package includes:

• Great compensation package and discretionary bonus plan
• Core benefits include pension, bupa healthcare, sharesave scheme and more
• 25 days annual leave with 8 bank holidays and 3 volunteering days. You can purchase additional annual leave.

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.

Experian Careers - Creating a better tomorrow together

Find out what its like to work for Experian by clicking here

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