Job Description
Responsibilities:
Position Responsibilities:
- Conduct data-driven audits and develop new analytics as the Senior Data Analytics Auditor, reporting directly to the Analytics Audit Supervisor under the supervision of the Senior Audit Manager, while participating in various operational audits focused on shared services, compliance, spend, and fraud detection
- Lead and execute data-driven financial, operational, and compliance audits to ensure processes and controls are effectively designed and functioning, with a focus on fraud prevention and compliance with internal policies and regulations
- Assist in the annual risk assessment, audit planning, and development of audit programs for data analytics while addressing ad-hoc analytics requests to support various internal projects and investigations
- Prepare comprehensive workpapers that document the data analytics approach, summarize audit testing results, and ensure the repeatability of analytics
- Build risk-based reporting and dashboards to aid the Internal Audit team in evaluating controls, aligning business objectives, and identifying significant risks
- Collaborate with Shared Service Centers, IT, and Business Intelligence departments to leverage knowledge and resources, enhancing the data analytics function and continuous monitoring capabilities within Internal Audit
- Monitor the remediation status of audit findings, discuss trends with process owners, and manage multiple time-sensitive, high-risk projects while meeting strict deadlines
- Willingness to travel up to 10% annually
- Other duties as assigned
Qualifications:
Required Education and Experience:
- Bachelor’s Degree in Accounting, Finance, Mathematics, Management Information Systems (MIS), Data Analysis, or related fields and 4 plus years of related experience or High School Diploma/General Education Degree (GED) and 7 plus years of specific experience
- 3 plus years of professional experience in internal audit, data analysis, consulting, IT, or public accounting, including at least 1 year of data analysis experience involving data processing, database programming, or data analytics
- Experience with data analysis tools, reporting software, and/or scripting languages (Alteryx, Power BI, IDEA, ACL, Cognos, SQL, VBA, R, Python, etc.)
Preferred Education and Experience:
- Master’s Degree
- CPA, CIA, CISA, CFE, or other relevant certifications, along with Alteryx Designer Core and Advanced Certifications or equivalent
- Fraud prevention/detection experience or training, along with knowledge of statistics and trend analysis
Benefits:
At the Reyes Family of Businesses, our Total Rewards Strategy prioritizes the holistic well-being of our employees. This position offers a comprehensive benefits package that includes Medical, Dental, Vision coverage, Paid Time Off, Retirement Benefits, and complimentary Health Screenings.
Equal Opportunity Employee & Physical Demands:
Reyes Holdings and its businesses are equal opportunity employers. Company policy prohibits discrimination and harassment against any applicant or employee based on race, color, religion, sex, pregnancy or pregnancy-related medical conditions, marital status, sexual orientation, gender identity or expression, age, national origin, citizenship, disability, genetic information, military or veteran status, or any other basis protected by applicable law. In addition, the Company is committed to providing reasonable accommodation to applicants and employees in accordance with applicable law. Requests for accommodation should be directed to your point of contact in the Talent Acquisition or Human Resources departments.
Background Check and Drug Screening:
Offers of employment are contingent upon successful completion of a background check and drug screening.
Pay Transparency:
Our compensation philosophy embraces diverse factors for fair pay decisions, valuing skills, experience, and the needs of our business. Moreover, this role may have the opportunity to participate in a discretionary incentive program, subject to program rules.
Job Tags
Full time,