Senior Data Analyst - Internal Audit

Description

• 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.
• 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.
• Identify opportunities for process improvement and innovation through the application of AI and data analytics.
• Continuously improve analytic operations and audit efficiency/effectiveness by soliciting feedback, critically assessing processes, and defining improvement requirements.
• Participate in the development and implementation of new processes and tools to enhance the efficiency and effectiveness of data analytics initiatives.
• Perform special projects and ad-hoc data analysis requests as needed.
• 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.
• Collaborate with IT, data science, and other departments to integrate AI technologies into existing workflows and systems.
• Gain an understanding of business processes, evaluate potential risks and work with audit teams and customers to define data indicators of risk.
• Work closely with business stakeholders to understand their requirements and translate them into data-driven solutions.
• Stay up-to-date with the latest advancements in AI and data analytics technologies.
• Supporting audit teams in the data acquisition process to ensure the requirements for scoped analytics are met within reasonable timeframes.
• Create data visualizations and dashboards to present insights and trends to stakeholders.
• Continuously monitor and refine AI models to improve performance and adapt to changing business needs.
• Communicate complex analytical findings and AI solutions to non-technical stakeholders in a clear and concise manner.
• Support the organization in addressing complex business challenges through data-driven approaches.
• Support the data analysis needs of Audit teams in planning and completing financial and operational audits, including:
• Ensure data quality and integrity by implementing best practices in data governance and management.
• 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.
• Manage and manipulate large datasets using advanced data analysis tools and techniques.
• Executing analytic service requests while maintaining acceptable cycle time / quality standards and effectively leveraging consulting teams.
• Identifying opportunities to partner with audit teams and provide analytic services.

Requirements

• Strong communication skills, both written and verbal.
• Must be authorized to work in the United States without company sponsorship now or in the future
• Strong interpersonal skills, with the ability to promote ideas and work effectively with all levels within the organization.
• Experience with Microsoft Power Platform, including Power BI, Power Apps, Power Automate or similar data transformation tools.
• Experience working with data visualization tools (e.g. Power BI, Tableau, Qlikview)
• Professional certification (CPA, CA, CIA, CMA, CFE, etc.)
• No relocation is offered for this position. All candidates must currently reside within 50 miles of Beachwood, OH location.
• Experience with Machine Learning or AI technologies
• 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).
• Working knowledge of key auditing and accounting concepts (GAAS, GAAP) and experience in supporting / participating in an audit activity.
• Experience with common data analysis/mining techniques (e.g. trend analysis, data regression, data modeling)
• Bachelor’s Degree from an accredited institution Information Systems, Computer Science, Finance, Accounting, or Mathematical/Statistical disciplines
• Adept in using advanced features of MS Excel.
• Strong attention to detail and an ability to prioritize and work in a highly fluent and fast paced environment.
• Strong knowledge and working experience with data manipulation tools to query large databases and manipulate large data files.
• Ability to deliver meaningful results that clearly and succinctly report and present key issues, business impact, and recommendations for improvement.
• 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.
• Demonstrated ability to negotiate time lines, delivery dates, and resolve conflict between partners.
• Minimum two (2) year of prior data science and/or data analytics experience
• 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.
• Thorough understanding of respective audit objectives and creatively defining analytics that can deliver efficient and effective audit approaches for the audit teams.
• Experience with computer forensics work is desired, but not required."

Benefits

Training + Development

Interview process

Visa Sponsorship

Security clearance