Lead Auditor, Data Analytics

This is a fully remote position, open to applicants in United States.

📋 Description

• Develop and sustain data analytics, dashboards, automated testing processes, and various technology-driven solutions.

• Oversee objectives, scope, timeline, budget, and resources for data analytics, automation, and AI projects.

• Take into account data governance, privacy, security, and responsible AI considerations when crafting solutions and assessing risks and controls.

• Ensure the delivery of high-quality audit project outputs and offer exceptional client service.

• Provide interdisciplinary recommendations and insights utilizing data and analytical methods to address complex challenges.

• Conduct training sessions and offer hands-on coaching on analytics, automation, AI, and associated tools.

• Collaborate with data architects and data engineers to gather and analyze data.

• Cultivate expertise in data intelligence and technical accounting subjects.

• Contribute to departmental strategies and initiatives.

• Work alongside Internal Audit, Digital Technology and Governance, IT Enterprise Data, Finance, Commercial, and Shared Business Services teams.

• Engage with external auditors, contractors, vendors, and regulatory organizations.

• Be prepared to travel overnight up to 10% of the time.

⛳️ Requirements

• A minimum of 4 years of experience in relevant data analytics, business intelligence, automation, finance, technology, risk, or a related field.

• At least 3 years of audit experience is preferred.

• Supervisory experience is preferred.

• 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, quality, validation, analysis, and visualization concepts.

• Capability to manage multiple priorities and perform work independently while effectively collaborating with others.

• Ability to articulate technical concepts, analytical outcomes, assumptions, and limitations to non-technical audiences.

• Aptitude for thriving in agile environments both as a team member and leader.

• Competence in handling ambiguity and complex situations.

• Leadership qualities, self-motivation, and a mindset focused on continuous improvement.

• Preferred experience with SQL, KNIME, Snowflake, Sigma, Tableau, Power BI, Excel, Power Query, Python, Power Automate, or Copilot Studio.

• Proficiency in Microsoft Office Suite.

• Strong written and verbal communication abilities.

• General IT knowledge.

• Bachelor's degree (B.A./B.S.) in Computer Science, Engineering, Statistics, Finance, or a related field.

🏝️ 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.