Loss Prevention Data & Intelligence Lead

The White Company; Northampton; Hybrid; GBP 60,000 - 85,000; Full time

Benefits offered by this job

Discounts

Holiday entitlement 25–28 days

Pension scheme

Discretionary bonus scheme

Wagestream access

Learning & development hub

Electric vehicle salary sacrifice

Private healthcare

Life assurance

Fruit, tea & coffee

Working from home Mondays & Fridays

Seasonal sample sales

Volunteer day

Job summary

The White Company is seeking a senior analytics leader to uncover loss drivers across Retail, Ecommerce, Distribution and Customer Services. You will connect the enterprise Data Lake with business systems to build a clearer picture of where and why losses occur, guiding improvements that reduce fraud, theft and operational losses.

You’ll own Ravelin, balance fraud controls with customer experience, and present insights to senior stakeholders to embed data‑driven decision making across the

Qualifications

• Significant experience combining data from multiple sources to solve complex business problems and inform operational decisions.
• Proven experience designing and building reports, dashboards and analytical models, not just interpreting existing reports.
• The ability to make sense of unfamiliar datasets quickly.
• Strong stakeholder management skills, including the ability to influence and challenge constructively across business functions.
• Experience delivering operational or process improvement initiatives.
• Advanced Excel skills and experience using Power BI, AI, SQL or similar business intelligence tools. Experience with enterprise Data Lakes or cloud-based data platforms.
• Excellent communication skills, with the ability to explain complex analysis clearly and engagingly.
• Strong commercial judgement and the ability to balance risk with customer experience.
• Experience in fraud prevention, business intelligence, operational or retail analytics, financial crime or continuous improvement would be advantageous.
• The ability to learn new systems quickly and become the subject matter expert for Ravelin, our fraud technology platform.

Responsibilities

• Build a connected loss‑intelligence capability across Retail, Ecommerce, Distribution and Customer Services by linking data from the enterprise Data Lake and wider business systems.
• Close reporting gaps by developing datasets, dashboards and analytical models that explain losses and identify emerging trends, cross‑channel patterns and performance opportunities.
• Lead root‑cause investigations into fraud, theft, operational issues, compliance failures and system weaknesses.
• Turn findings into clear, commercially focused recommendations and lead cross‑functional initiatives that deliver practical, sustainable improvements.
• Measure the impact of loss‑reduction initiatives, using the results to strengthen reporting, controls and processes.
• Own and develop Ravelin, optimising payment acceptance, fraud controls and reporting while protecting the customer experience.
• Present intelligence to senior stakeholders, securing support for stronger controls and embedding data‑led decision‑making in day‑to‑day operations.
• Partner with Digital, Retail, Contact Centre, Supply Chain, Finance and Technology to develop effective fraud‑prevention strategies.
• Monitor industry trends, emerging fraud risks and changing customer behaviours to ensure controls remain effective and proportionate.
• Provide customer‑risk expertise and analytical insight throughout business‑change projects.

Skills

Data integration

Dashboards

Root cause analysis

Stakeholder management

Operational improvement

Excel

Power BI

SQL

Cloud data platforms

Tools

Power BI

SQL

AI

Job description

The White Company is seeking a senior analytics leader to uncover loss drivers across Retail, Ecommerce, Distribution and Customer Services. You will connect the enterprise Data Lake with business systems to build a clearer picture of where and why losses occur, guiding improvements that reduce fraud, theft and operational losses.

You’ll own Ravelin, balance fraud controls with customer experience, and present insights to senior stakeholders to embed data‑driven decision making across the