Senior Data Analyst, AI

Job Summary

Support the data analytics & audit program of the Internal Audit function. The data analytics and audit program involves identifying and creating computer assisted audit techniques that increase the depth and breathe over conventional financial audit techniques for significant company applications. This role will be responsible for spear-heading the function’s use of AI (Artificial Intelligence) to perform these computer assisted audit techniques and advance the department’s adoption of AI

What You’ll Do

• Utilize available data to drive the department continuous risk identification program and work with department leadership to ensure efficient generation of actionable results and integration with the development of the risk-based audit plan.
• Support the data analysis needs of Audit teams and Audit Lead Data Analysts in planning and completing financial and operational audits, including
• Gain an understanding of business processes, evaluate potential risks and work with audit teams and customers to define data indicators of risk.
• Identifying opportunities to partner with audit teams and provide analytic services.
• Gain an understanding of respective audit objectives and creatively defining analytics that can deliver efficient and effective audit approaches for the audit teams.
• Supporting audit teams in the data acquisition process to ensure the requirements for scoped analytics are met within reasonable timeframes.
• Executing analytic service requests while maintaining acceptable cycle time / quality standards and effectively leveraging consulting teams.
• Continuously improve analytic operations and audit efficiency/effectiveness by soliciting feedback, critically assessing processes, and defining improvement requirements.
• Assist in driving adoption of AuditBoard usage in alignment with the department’s Operational Excellence (OPEX) program. Create and maintain departmental reporting using data from AuditBoard and a variety of other sources.
• Demonstrate analytic proficiency for all assigned applications and an array of analytic techniques in order to independently define, develop and execute complex yet meaningful analytics.
• Effectively communicate findings and complex analytical solutions to upper management.
• Support and drive transformation in how we work. Coordinate with department leadership to identify opportunities for continuous improvement of department's processes and practices through the use of Eaton Business System and other relevant process improvement tools. Participates with the implementation of new processes.
  
  
  

Key Responsibilities

• Data Analysis and AI Model Development
• Develop and implement AI models, including machine learning and deep learning algorithms, to analyze large datasets and generate actionable insights.
• Perform data preprocessing, feature engineering, and model validation to ensure the accuracy and reliability of AI solutions.
• Continuously monitor and refine AI models to improve performance and adapt to changing business needs.
• Business Collaboration
• Work closely with business stakeholders to understand their requirements and translate them into data-driven solutions.
• Collaborate with IT, data science, and other departments to integrate AI technologies into existing workflows and systems.
• Communicate complex analytical findings and AI solutions to non-technical stakeholders in a clear and concise manner.
• Data Management and Visualization
• Manage and manipulate large datasets using advanced data analysis tools and techniques.
• Create data visualizations and dashboards to present insights and trends to stakeholders.
• Ensure data quality and integrity by implementing best practices in data governance and management.
• Continuous Improvement
• Stay up-to-date with the latest advancements in AI and data analytics technologies.
• Identify opportunities for process improvement and innovation through the application of AI and data analytics.
• Participate in the development and implementation of new processes and tools to enhance the efficiency and effectiveness of data analytics initiatives.
• Special Projects and Ad-Hoc Analysis
• Perform special projects and ad-hoc data analysis requests as needed.
• Support the organization in addressing complex business challenges through data-driven approaches.
  
  
  

Qualifications

BS Degree in Information Systems, Computer Science, Finance, Accounting, or Mathematical/Statistical disciplines

At least 3 years of prior auditing and data analytics experience

Technical knowledge

Experience analyzing manufacturing business processes. This would include: business process flowcharting and risk/control analysis and assessment.

• Knowledge of database structures, data mapping, and experience extracting/analyzing data from common Enterprise Resource Planning (ERP) systems such as SAP, Oracle and Mfg/PRO.
• Strong analytical skills and advanced knowledge of one or more common data analysis tools and CAAT (Computer Assisted Audit Technique) technologies (e.g., ACL, Python, R, SQL, Alteryx).
• Experience with Microsoft Power Platform, including Power BI, Power Apps, Power Automate or similar data transformation tools.
• Strong knowledge and working experience with data manipulation tools to query large databases and manipulate large data files.
• Experience with common data analysis/mining techniques (e.g. trend analysis, data regression, data modeling)
• Adept in using advanced features of MS Excel.
• Experience working with data visualization tools (e.g. Power BI, Tableau, Qlikview)
• Working knowledge of key auditing and accounting concepts (GAAS, GAAP) and experience in supporting / participating in an audit activity.
• Professional certification (CPA, CA, CIA, CMA, CFE, etc.) preferred
  
  
  

Soft Skill

• Strong attention to detail and an ability to prioritize and work in a highly fluent and fast paced environment.
• Strong communication skills, both written and verbal.
• Strong interpersonal skills, with the ability to promote ideas and work effectively with all levels within the organization.
• Ability to deliver meaningful results that clearly and succinctly report and present key issues, business impact, and recommendations for improvement.
• A proactive “can do” attitude, with the desire to have an impact, add value to the organization, and a mindset for continuous improvement.
• Demonstrated ability to negotiate time lines, delivery dates, and resolve conflict between partners.
• Experience with computer forensics work is desired, but not required
  
  
  

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