Lead Auditor Data Analytics (Hybrid: Onsite and Remote Work)
About The Position
Support Internal Audit and US Foods’ broader business objectives by leading the practical use of data analytics, automation, and artificial intelligence. Design, develop, and implement technology-enabled solutions that expand audit coverage, improve efficiency, and deliver meaningful insights across operational and financial audits, SOX compliance, investigations, special projects, and management requests. Share knowledge and provide training to promote the effective use of digital capabilities throughout the department. The role requires working independently, collaborating across teams, and adapting to a changing environment. The posting contains conflicting workplace descriptions: it describes the position as both “Remote Anywhere,” with work performed 100% remotely anywhere in the U.S. except Hawaii and U.S. territories, and “Hybrid,” with three onsite days per week and the rest remote. Overnight travel may be up to 10%.
Requirements
- Four years of relevant experience in data analytics, business intelligence, automation, finance, technology, risk, or a related field.
- Strong proactive problem-solving, critical-thinking, and analytical skills.
- Experience with data mining and analytics.
- Knowledge of data preparation, data quality, validation, analysis, and visualization concepts.
- Ability to manage multiple priorities and complete work independently while collaborating effectively with others to meet business stakeholder needs.
- Ability to explain technical concepts, analytical results, assumptions, and limitations to nontechnical audiences.
- Ability to work effectively in agile environments as a team member and leader.
- Ability to handle ambiguity and complex situations.
- Demonstrated integrity, fairness, respect, and positive role-model behavior.
- Leadership, self-motivation, and a continuous-improvement mentality.
- Proficiency in Microsoft Office Suite.
- Strong written and verbal communication skills.
- General IT knowledge.
- Bachelor’s degree in Computer Science, Engineering, Statistics, Finance, or a related field.
Nice To Haves
- Three years of audit experience.
- Supervisory experience.
- Experience with tools such as SQL, KNIME, Snowflake, Sigma, Tableau, Power BI, Excel, Power Query, Python, Power Automate, or Copilot Studio; expertise across all tools is not required.
- CPA, CIA, CISA, or CISSP certification or training.
Responsibilities
- Develop and maintain data analytics, dashboards, automated testing routines, and other technology-enabled solutions to improve audit coverage, efficiency, and insight.
- Manage objectives, scope, time, budget, and resources for continuous improvement of data analytics, automation, and AI initiatives.
- Consider applicable data governance, privacy, security, and responsible AI requirements when developing solutions and evaluating risks and controls.
- Focus on client service and ensure quality deliverables for audit projects.
- Provide cross-functional recommendations and insights using data and analytical techniques to resolve complex issues.
- Deliver training and hands-on coaching to staff and senior employees on analytics, automation, AI, and related tools and techniques.
- Collaborate with data architects and data engineers to collect and analyze data.
- Build expertise in multiple areas of data intelligence and technical accounting topics.
- Contribute to department strategies and initiatives.
Benefits
- Annual incentive plan bonus.
- Health insurance.
- Pre-tax spending accounts.
- Retirement benefits.
- Paid time off.
- Short-term and long-term disability.
- Employee stock purchase plan.
- Life insurance.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
