Profit Protection Data & Intelligence Manager
- Pavilion 1, BC, Canada
Full-time
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Job details
- Job type
- Full-time
- Apply by
- Posting language
- English
- Posted
Original job description
Every loss tells a story. Your role is to uncover it and help the business prevent it happening again.
You'll turn data into actionable intelligence to reduce losses across The White Company's Retail, Ecommerce, Distribution and Customer Services operations.
You'll connect our enterprise Data Lake with other business systems to build a clearer understanding of where and why losses occur.
Working across teams, you'll uncover the causes of fraud, theft and operational losses, including colleague behaviour and weaknesses in controls.
You'll also own Ravelin, our fraud technology platform, balancing fraud protection with payment acceptance and a smooth customer journey.
You'll help shape the business's approach to loss prevention.
Success means measurable reductions in loss through operational improvements, not simply producing more reports.
What you’ll be doing
- 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.
We're looking for an experienced analytical leader, not necessarily an online fraud expert.
You'll bring:
- 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.
- You'll focus on making a difference, rather than producing reports for their own sake.
- You'll be naturally curious, asking "why?" and looking beyond the obvious explanation.
- You'll enjoy spotting connections others may not see.
- You'll bring people together and follow through on improvements.
- You'll be resourceful when answers aren't readily available, exploring untapped data and new ways to measure what matters.
- And importantly, you’ll bring a strong “what next?” mindset, turning insight into practical solutions that mitigate all forms of risk and loss.
At The White Company, we value our employees for always going the extra mile for every one of our customers; we reward this with great benefits and competitive salaries.
- Discount -Up to 50% discount and access to regular Sample Sales
- Holiday - 25 days rising to 28 with length of service
- Holiday Buy – opportunity to buy up to 5 days holiday
- Pension Scheme - enrolled in our Group Personal Pension schemes upon joining the business.
- Bonus - In addition to our competitive salaries, all our employees are entitled to join a discretionary bonus scheme (based on policy eligibility)
- Wagestream Money Management app - access to Wagestream gives you power over your pay and supports financial wellbeing
- Continued Development – We offer structured support from our own in-house Learning and Development Hub
- Salary Sacrifice scheme for Electric vehicles (dependent on grade and meeting policy eligibility)
- Private Healthcare (based on contract duration)
- Life Assurance
- Fruit basket daily
- Tea and coffee provided
- Working from Home - option to work from home on Mondays and Fridays
- Social - Christmas party/social events throughout the year
- Seasonal Sample Sales
- Volunteer Day - with a charity of your choice
At The White Company, we are committed to building an inclusive workplace where everyone feels respected, valued and empowered to grow and succeed. Through fair and equitable recruitment, investment in learning and inclusive leadership, and opportunities for our people to share feedback and shape their experience, we continue to strengthen a culture of belonging. As a female-founded business, we are proud to champion gender equality while broadening our focus across all aspects of equity, diversity and inclusion.
We support the wellbeing of our people through dedicated support initiatives, and through our partnership with The King’s Trust, we help young women overcome social and financial barriers, as well as providing employees the opportunity to give back through volunteering. Alongside this, we are committed to upholding human rights and fair working conditions across our wider business and supply chain
More about this job
Responsibilities
Build connected loss intelligence by combining enterprise Data Lake and business-system data, developing reporting and analytical models, and investigating fraud, theft, operational losses, and control weaknesses. Turn findings into measurable improvements, own and optimize the Ravelin fraud platform, and influence cross-functional teams and senior stakeholders to strengthen loss prevention.
Requirements
The role requires significant experience combining data from multiple sources, building reports, dashboards, and analytical models, and delivering operational or process improvements. Candidates should have advanced Excel skills and experience with tools such as Power BI, AI, SQL, or similar, along with strong stakeholder, communication, and commercial judgment skills; experience with Data Lakes, cloud platforms, fraud prevention, or analytics is advantageous.
Skills
- Data Analysis
- Business Intelligence
- Dashboard Development
- Analytical Modeling
- Advanced Excel
- Power BI
- SQL
- Data Lakes
- Cloud Data Platforms
- Fraud Prevention
- Root-Cause Analysis
- Operational Improvement
- Stakeholder Management
- Commercial Judgment
- Risk Management
- Communication
Benefits
- Employee Discount
- Holiday Allowance
- Holiday Purchase Scheme
- Pension Scheme
- Discretionary Bonus Scheme
- Learning And Development Support
- Electric Vehicle Salary Sacrifice Scheme
- Private Healthcare
- Life Assurance
- Daily Fruit
- Tea And Coffee
- Work From Home
- Social Events
- Volunteer Day
Visa sponsorship
Not detected in the job text
Categories
- Data & Analytics
- Retail
- Management & Leadership
- Finance & Accounting
- Security & Safety
Keywords
- Enterprise Data Lake
- Ravelin
- Power BI
- Excel
- SQL
- Artificial Intelligence
- Cloud Data Platforms
- Business Intelligence
- Data Integration
- Dashboards
- Analytical Models
- Loss Intelligence
- Fraud Prevention
- Payment Acceptance
- Fraud Controls
- Root-Cause Analysis
- Theft
- Operational Losses
- Compliance
- Risk Management
- Loss Prevention
- Customer Experience
- Retail Analytics
- Financial Crime
- Continuous Improvement
- Process Improvement
- Stakeholder Management
- Cross-Functional Collaboration