
Website Caterpillar
Job Description:
The Data Analytics team within Caterpillar’s Internal Auditing & Advisory Services (IAAS) department uses quantitative and data modeling techniques to assess risk and test control environments. As a Sr. Data Scientist within IAAS, you will work closely with audit managers and audit teams to help assess and identify potential risk (e.g., inefficient processes, weak controls, etc.).
Job Responsibilities:
- Serving as a staff auditor during fieldwork for audits that leverage data analytics (as needed).
- Identifying, designing and implementing internal process improvements through automation and data optimization.
- Understanding business processes and associated risks.
- Performing analytics for the annual risk assessment process.
- Retrieving and validating data from disparate systems and data sources.
- Teaching use of analytic tools to script/program/visualize data and objectives.
- Gaining deep understanding of audit methodology and data analytics alignment.
- Executing projects within the department strategy.
- Helping data analysts develop data-driven objectives to assess risks and controls.
- Providing feedback and coaching to team members.
Job Requirements:
- ERP business/system knowledge (SAP, GLS, MAMM, etc.)
- Relational database experience (SQL Server, Oracle, etc.) with strong SQL skills
- Knowledge of ETL tools (SSIS, DataStage, etc.)
- Master’s degree in Information Systems, Analytics, Mathematics, Business, or related field
- Prior auditing and/or risk and controls experience
- Programming experience (Python, Java, C#, etc.)
- Strong initiative and interpersonal skills, and the ability to communicate effectively
- Data visualization experience (Power BI, Tableau, etc.)
- Bachelor’s degree in Information Systems, Analytics, Mathematics, Computer Science, Business, or related field, with 3+ years of professional experience in data analytics
- Ability to motivate and develop others
Job Details:
Company: Caterpillar
Vacancy Type: Full Time
Job Location: Tucson, AZ, US
Application Deadline: N/A
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