Whether you want to work at one of our facilities as a data analyst helping to make business decisions or at headquarters on a larger audit team, we have an opportunity for you. You’ll work with data sets of various sizes and complexities, collaborating with others. Our Finance and Accounting teams span the globe, providing unmatched learning, development, and career growth opportunities.Reporting to the Senior Manager, Internal Audit Data Analytics, GE Aerospace, this role will focus on leveraging data analytics to enhance audit processes. The Internal Audit Data Analyst will lead efforts in continuous auditing, monitoring, automation of control testing, full population testing, and providing enhanced coverage and broader oversight of risk. This role will utilize modern data assessment tools and techniques, including SQL, PowerBI, Spotfire, Alteryx, and Python, to develop and implement a best-in-class audit methodology tailored to the unique needs of GE Aerospace.Job Description
GE Aerospace is amid a significant transformation of its portfolio, leadership, operations, and culture. One of the top priorities within this transformation is the Internal Audit function. GE Aerospace is evolving the function, focusing on the development of data-driven and automation-enabled audit expertise to serve as a true business partner for the audit committee and executive leaders, while maintaining its commitment to talent development.
A key dimension of this role will be supporting efforts in audit analytics, continuous auditing, monitoring, automation of control testing, full population testing, providing enhanced coverage, and broader oversight of risk. To accomplish this, the Internal Audit Data Analyst will:
- Data Integration and Analysis: Utilize SQL, Tableau, PowerBI, ETL processes, Alteryx, and Python to integrate and analyze data from various sources, providing insights that inform audit planning and execution.
- Automation: Develop automated workflows and control testing processes that provide full population testing and enhanced risk coverage.
- Collaboration and Training: Train and mentor audit team members on data analytics tools and best practices; promote the use of analytics within the audit function to drive data-driven decision-making.
- Flexible Strategy Implementation: Adopt a flexible strategy that utilizes data analytics to tailor audit procedures to unique technology platforms and data sources.
Key Responsibilities:
- Data Collection and Analysis: Collect, process, and analyze large datasets from multiple sources to identify trends, irregularities, and opportunities for operational improvements.
- Audit Support: Provide data-driven insights and support to audit teams throughout all phases of the audit lifecycle, including planning, fieldwork, and reporting
- Continuous Auditing: Build and maintain a library of reusable data analytics procedures and tools for ongoing audit activities.
- Risk Assessment and Monitoring: Work closely with audit and business units to develop continuous monitoring techniques and risk indicators using data analytics.
- Visualization and Reporting: Build intuitive data visualizations, dashboards, and reports to communicate findings, trends, and risks to the audit team and senior management.
- Collaboration and Training: Train and mentor audit team members on data analytics tools and best practices; promote the use of analytics within the audit function.
- Continuous Improvement: Identify and implement opportunities for process improvements within the audit department using data-driven approaches.
Qualifications:
- Education: Bachelors Degree with preferred concentration in Computer Science, Data Science, Information Technology, or in "STEM" Majors (Science, Technology, Engineering, and Math) or Business Administration with a minor in Business Analytics.
- Experience: 3 years’ experience in data analytics or a similar role. Experience in a corporate environment is preferred.
- Technical Skills: Proficiency in data analytics, data visualization (e.g., Alteryx, KNIME, Tableau, Power BI, Spotfire) and programming languages (e.g., SQL, Python).
- Analytical Skills: Strong analytical, problem-solving, and critical-thinking abilities.
- Communication Skills: Excellent written and verbal communication skills with the ability to present complex data insights to non-technical stakeholders.
Desired Characteristics:
- Experience in lean principles or process improvement methodologies
- Background in internal audit data analytics
- Familiarity with Aerospace or advanced manufacturing industry
- Experience with machine learning for predictive analytics and creating custom RAG LLMs
Additional Job Description
Additional Information
Compensation Grade
LPB2
GE Aerospace offers a great work environment, professional development, challenging careers, and competitive compensation. GE Aerospace is an Equal Opportunities Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.
GE Aerospace will only employ those who are legally authorized to work in the United States for this opening.
Relocation Assistance Provided: No
