Senior Data Analyst - Internal Audit

Eaton's Corporate Sector division is currently seeking a Senior Data Analyst - Internal Audit.

The expected annual salary range for this role is $83250.0 - $122100.0 a year.

Please note the salary information shown above is a general guideline only. Salaries are based upon candidate skills, experience, and qualifications, as well as market and business considerations.

What you'll do:

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 strengthening the function's use of AI (Artificial Intelligence) and ML (Machine Learning) to perform these computer assisted audit techniques and advance the department's adoption of these technologies.

Job Responsibilities
- Support the data analysis needs of Audit teams in planning and completing financial and operational audits, including:
1. Gain an understanding of business processes, evaluate potential risks and work with audit teams and customers to define data indicators of risk.
2. Identifying opportunities to partner with audit teams and provide analytic services.
3. Thorough understanding of respective audit objectives and creatively defining analytics that can deliver efficient and effective audit approaches for the audit teams.
4. Supporting audit teams in the data acquisition process to ensure the requirements for scoped analytics are met within reasonable timeframes.
5. Executing analytic service requests while maintaining acceptable cycle time / quality standards and effectively leveraging consulting teams.
- Data Analysis and AI Model Development:
1. Develop and implement AI models, including machine learning and deep learning algorithms, to analyze large datasets and generate actionable insights.
2. Perform data preprocessing, feature engineering, and model validation to ensure the accuracy and reliability of AI solutions.
3. Continuously monitor and refine AI models to improve performance and adapt to changing business needs.
- Data Management and Visualization:
1. Manage and manipulate large datasets using advanced data analysis tools and techniques.
2. Create data visualizations and dashboards to present insights and trends to stakeholders.
3. Ensure data quality and integrity by implementing best practices in data governance and management.
- Continuous Improvement:
1. Stay up-to-date with the latest advancements in AI and data analytics technologies.
2. Identify opportunities for process improvement and innovation through the application of AI and data analytics.
3. Participate in the development and implementation of new processes and tools to enhance the efficiency and effectiveness of data analytics initiatives.
4. Continuously improve analytic operations and audit efficiency/effectiveness by soliciting feedback, critically assessing processes, and defining improvement requirements.

Additional Information:

- 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.
- 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.
- Business Collaboration:
1. Work closely with business stakeholders to understand their requirements and translate them into data-driven solutions.

• Bachelor's Degree from an accredited institution Information Systems, Computer Science, Finance, Accounting, or Mathematical/Statistical disciplines
• Minimum two (2) year of prior data science and/or data analytics experience
• No relocation is offered for this position. All candidates must currently reside within 50 miles of Beachwood, OH location.
• Must be authorized to work in the United States without company sponsorship now or in the future

• Professional certification (CPA, CA, CIA, CMA, CFE, etc.)
• 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, Snowflake).
• Experience with Machine Learning or AI technologies
• 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.