
Lead Auditor, Data Analytics
Posted Oct 21

Posted Oct 21
This is a fully remote position, open to applicants in Pennsylvania.
• Design and maintain data analytics, dashboards, automated testing procedures, and other technology-driven solutions.
• Oversee objectives, scope, timelines, budgets, and resources for data analytics, automation, and AI projects.
• Implement data governance, privacy, security, and responsible AI standards while developing solutions and assessing risks and controls.
• Produce high-quality audit project deliverables and offer exceptional client service.
• Provide cross-functional insights and recommendations through data analysis and analytical methods to address complex challenges.
• Conduct training and offer hands-on coaching on analytics, automation, AI, and associated tools.
• Work alongside data architects and data engineers to gather and analyze data.
• Develop expertise in data intelligence and technical accounting subjects.
• Contribute to departmental strategies and initiatives.
• Assist with operational and financial audits, SOX compliance, investigations, special projects, and management requests.
• Collaborate with Internal Audit, Digital Technology and Governance, IT Enterprise Data, Finance, Commercial, Shared Business Services, external auditors, contractors, vendors, and regulatory agencies.
• Willingness to travel overnight up to 10% of the time.
• Minimum of 4 years of experience in data analytics, business intelligence, automation, finance, technology, risk, or a related field.
• Preferred 3 years of audit experience.
• Supervisory experience is a plus.
• Willingness to travel overnight up to 10%.
• Strong proactive problem-solving abilities, along with critical and analytical thinking skills.
• Experience in data mining and analytics.
• Familiarity with data preparation, data quality, validation, analysis, and visualization concepts.
• Capable of managing multiple priorities and completing tasks independently while effectively collaborating with others.
• Ability to articulate technical concepts, analytical outcomes, assumptions, and limitations to non-technical audiences.
• Comfortable working in agile environments as both a team member and leader.
• Skilled at navigating ambiguity and complex situations.
• Experience with SQL, KNIME, Snowflake, Sigma, Tableau, Power BI, Excel, Power Query, Python, Power Automate, or Copilot Studio is preferred; expertise in all tools is not necessary.
• Proficient in the Microsoft Office Suite.
• Excellent written and verbal communication skills.
• General IT knowledge.
• Bachelor’s degree (B.A./B.S.) in Computer Science, Engineering, Statistics, Finance, or a related field.
• CPA, CIA, CISA, or CISSP certification is preferred.
• Annual incentive plan bonus.
• Health insurance.
• Pre-tax spending accounts.
• Retirement benefits.
• Paid time off.
• Short-term disability.
• Long-term disability.
• Employee stock purchase plan.
• Life insurance.
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