Job Description:
As the Program Lead for Security and Loss Prevention at Ninja, you will be responsible for analyzing operational data to identify security risks, uncover patterns of loss, and develop data-backed programs to mitigate them.
The ideal candidate will leverage their deep experience in Operations Analytics to drive initiatives and collaborate with external technology partners to innovate and design next-generation surveillance and security products.
Responsibilities:
- Utilize strong skills in risk analysis, pattern mapping, and hypothesis testing to analyze large operational datasets and identify vulnerabilities related to theft, fraud, and process gaps.
- Develop predictive models and statistical analyses to forecast potential loss events and identify high-risk areas within the business.
- Transform complex data into clear, actionable insights and strategic recommendations for the SLP leadership team.
- Lead the design, development, and implementation of data-driven SLP programs from conception to completion.
- Work closely with external partners and technology providers to co-design and customize surveillance products, security tools, and analytical software to meet our specific needs.
- Define project roadmaps, establish KPIs to measure program effectiveness, and report on progress and ROI to senior stakeholders.
- Act as a key analytical partner to the field SLP and Operations teams, providing them with the data and tools needed to execute prevention strategies effectively.
- Collaborate with internal tech and BI teams to ensure data integrity and develop the necessary data infrastructure for advanced analytics.
- Present findings and program proposals to a wide range of audiences, from technical teams to senior business leaders.
Requirements
- Bachelor’s or Master’s degree in a quantitative field such as Statistics, Economics, Computer Science, or Engineering.
- A minimum of 3+ years of experience in Operations Analytics, Business Intelligence, Risk Analytics, or a similar data-intensive role.
- Demonstrated expertise in risk analysis, statistical pattern mapping, and hypothesis testing.
- Advanced Excel knowledge is Must.
- Collaboration Skills: Proven ability to work effectively with external partners, vendors, and technology providers, particularly in the design and development of products or solutions.
- Problem-Solving: A highly analytical mindset with a structured approach to problem-solving and a passion for uncovering insights within data.
- Communication: Excellent communication and presentation skills, with the ability to articulate complex analytical concepts to diverse audiences.
- Familiarity with loss prevention concepts and security technologies.