Manager Internal Audit Analytics

Description

• One Team: Primarily, this position is for supporting the Internal Audit team in acquiring data and developing analytical solutions that support the overall objectives of the Department. In addition, the role may require supporting other departments and initiatives at CNHi should the need arise.
• Make It Simple: Deliver analytic results that are easy to understand, to the point, and repeatable.
• Grow Together: Utilize all the tools available and educate the team to build skillsets and capabilities. Bring new ideas that will help the team at all levels of the organization in assessing and addressing key risks to CNHi.
• Customer First: Ensure all the work we do is focused on delivering to those customers in a timely fashion.

Requirements

• Ability to drive innovation and continuous improvement in digital/analytical processes and methodologies.
• Exposure to Artificial Intelligence (AI) driven analytics and Robotic Process Automation (RPA) is a plus.
• Completion of or working towards an advanced degree or certification.
• Strong communication and presentation skills, with the ability to effectively communicate complex concepts to non-technical stakeholders.
• Experience with building and maintain databases.
• A bachelor degree in Quantitative field (such as Mathematics, Statistics, Computer Science), Accounting, Finance, or other similar field.
• Experience with SAP or other ERP.
• Prior experience in a managerial or leadership role, overseeing a team of analytics professionals.
• Ability to self-manage projects and deliver on timely basis.
• Ability to work on global scale within a multicultural team while maintaining the detail work required of the audit department.
• Experience utilizing SQL for data extraction.
• Experience with Microsoft Power Apps.
• Experience with designing data visualizations in Tableau, Power BI, Qlik Sense, or other software.
• Strong analytical and problem solving skills, with the ability to translate complex data into actionable insights.
• Experience with Azure.
• Knowledge of Python or R.
• At least 5 years in analytics, data science or a related field.
• Knowledge in manufacturing environments is a plus.

Benefits

• Parental leave
• Employee Assistance Programs
• Adoption assistance
• Fertility & Family building support
• Flexible work arrangements
• Charitable contribution matching and Volunteer Time Off
• Tuition reimbursement
• Savings & Retirement benefits

Training + Development

Interview process

Visa Sponsorship

Security clearance