Senior Data Modelling Analyst - 12 Month Secondment

Experian is a global data and technology company, powering opportunities for people and businesses around the world. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more. Experian invests in people and new advanced technologies to unlock the power of data. We have an amazing team of 25,200 people in 32 countries.

Internal Grade D/EB8

Experian Consumer Services - Analytics division are looking for an experienced and commercially minded Senior Analyst to join our analytics team for a 12 month fixed-term contract.

This role is ideal for someone who can hit the ground running from day one, and enjoys turning complex data into compelling stories that influence business outcomes. You'll play a key role in shaping how we understand our customers, using segmentation and predictive modelling to drive smarter decisions and measurable growth.

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

This is a Hybrid, Nottingham-based role (40% in the office) reporting to Head of Analytics

What You'll Do

Leading analytics projects that support strategic Product and Marketing initiatives

Developing customer insights that inform targeting, positioning, and growth strategies

Building and deploying segmentation models and predictive models to better understand customer behaviour

Translating complex analysis into clear, engaging narratives that drive action

Managing stakeholders across Product and Marketing, aligning analytical outputs to business priorities

Proactively identifying opportunities where data can unlock commercial value

Contributing to a culture of knowledge sharing, mentoring where appropriate, and championing best practice in analytics

Strong SQL skills focused on querying large datasets independently

Experience translating data into commercially focused insights

Strong stakeholder management skills – comfortable influencing at multiple levels

Experience in an analytics role

Numerate degree (e.g., Mathematics, Statistics, Economics, Engineering, Physics, or similar)

Experience delivering value through personalisation such as predictive analysis and segmentation

You'll Stand Out If You:

Combine technical depth with strong commercial awareness

Are comfortable owning projects end-to-end

Thrive in environments where you can balance independence with teamwork

Experience in any of these desirable:Customer lifetime value modelling, decay curves, churn modelling.

Channel marketing attribution modelling

A/B tests, Next best action and personalisation

Benefits include:-

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 also purchase additional annual leave.

Recruitment Fraud Awareness - Experian's recruitment process is conducted only through authorised channels. Recruitment communications will only be sent from an @experian.com email address. Experian will never ask candidates to make any payment as part of an application, interview, assessment, onboarding, or recruitment process. To apply for roles or verify opportunities, please visit experian.com/careers.

Our uniqueness is that we celebrate yours. Experian's people first, inclusive and purpose driven culture is multi award-winning; World's Best Workplaces™ 2025 (Fortune Global Top 25), Great Place To Work™ in 26 countries to name a few. Check out Experian Life on social or explore our Careers Site to understand why. Experian is also proud to be an Equal Opportunity and Affirmative Action employer. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.

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