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Eaton · 1 week ago

Senior Data Analyst - Internal Audit

Beachwood, OH

Full-time

Onsite

Mid, Senior Level

$83K/yr - $122K/yr

2+ years exp

Eaton is a leading company in the corporate sector, currently seeking a Senior Data Analyst for their Internal Audit division. This role involves supporting the data analytics and audit program, utilizing AI and ML technologies to enhance audit techniques and improve departmental efficiency.

Electric Vehicle

No H1B

Responsibilities

Support the data analysis needs of Audit teams 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

Thorough 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

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

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

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

Continuously improve analytic operations and audit efficiency/effectiveness by soliciting feedback, critically assessing processes, and defining improvement requirements

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

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

Perform special projects and ad-hoc data analysis requests as needed

Support the organization in addressing complex business challenges through data-driven approaches

Qualification

Data AnalysisMachine LearningAI Model DevelopmentData VisualizationData ManagementERP SystemsData Analysis ToolsStatistical AnalysisCommunication SkillsAttention to DetailInterpersonal SkillsProblem Solving

Required

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

Preferred

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