This position will report to the Director of Fraud Strategy and support the compliance organizations analytics strategy & development. The incumbent will work closely with various stakeholders including fraud, IT Compliance, Internal audit, Asset protection and Business stakeholders.

You will apply your strategic and analytical skills to major company challenges. You'll team with world-class professionals to develop and test strategies that ultimately impact the bottom line. And you will do it all in a collaborative environment that values your insight, encourages you to take on new responsibility, promotes continuous learning, and rewards innovation.   

Key Job Responsibilities

• Take a data driven approach to identify and quantify opportunities to improve performance, cost efficiency and flexibility of the Staples supply chain network Identify and monitor key performance levers for important initiatives and ensure that we can exceed performance and cost targets
• Work independently to deliver analytical projects and ad-hoc analyses including determining project scope, prioritizing requests, defining expected results, proposing execution plans, as well as target completion times
• Determine data and resource deployment needs on a case by case basis to devise the most complete end to end automated solutions for gathering, analyzing, and archiving data.
• Oversee advanced statistical analytics initiatives for the Compliance organization by developing long-term analytics roadmaps.

• Develop tools (reporting, visualization as well as planning) and deploy them for use by functional teams to support strategic and tactical initiatives
• Development and implementation of best-in-class fraud detection analytics that leverages real time customer and transactional data.

• Collaborate with research scientists to build advanced analytics models and support the development of optimization and machine learning based algorithms
• Possess the communication skills required to succinctly answer key business questions, summarize complex analyses, and model strategic initiatives for senior and executive business leaders.

• 3 Direct Reports

 Education/Experience Equivalent (minimum requirements)

• MS in Industrial Engineering, Operations Research, Computer Science, Business Analytics, or any other quantitative field
• 5-7 years industry experience

Professional Knowledge/Experience

• Experience with querying relational databases and strong expertise in SQL Familiarity with development toolsets such as Hadoop, MYSQL, Teradata, NOSQL
• Familiarity with programming languages such as python, C++, Java
• Familiarity with advanced analytics tool kits and BI tools such as Power BI, Tableau, and Alteryx
• Demonstrated analytical thinking, strategic problem-solving capabilities
• Ability to communicate complex quantitative analysis in a clear, precise, and actionable manner

Preferred Qualifications

• Experience with developing standalone decision support applications to support business planning or execution
• Experience building analytical models: optimization, statistical and machine learning Experience with financial modeling
• Experience with outlier detection specific statistical analysis methods such as principal component analysis, proximity based models, density based local outliers, and associated predictive trending models focusing on outlier alerting.

• Ability to think big, manage ambiguity, move quickly and deliver results in an entrepreneurial environment
• Fearless but thoughtful in pursuit of results
• Flexible and resourceful, and easily adaptable to changes in environment and prioritization
• Possess excellent business judgment, and a practical, common-sense approach to getting things done

Additional Information