Job Description Summary

Job Description

About the Role

We're looking for a highly skilled, proactive, problem solver, and analytical Data Analyst to join our Internal Audit Data Analytics team. This is a technical role crucial for enhancing our audit capabilities through advanced data analytics. You'll use your expertise in data tools and programming languages to extract, transform, and analyze complex datasets from various business systems. Your critical thinking skills will be essential in translating these complex data findings into clear, concise, and impactful audit observations and recommendations that strengthen internal controls, identify risks, and improve operational efficiencies.

This role requires a deep understanding of data analysis best practices, strong technical proficiency, and a keen ability to think critically about data nuances and their implications. You'll play a key role in evolving our data-driven audit approach, working closely with audit managers and senior leadership to deliver high-quality, insightful audit engagements.

Key Responsibilities

• Data Extraction & Transformation:
  • Design, develop, and maintain efficient scripts and processes using Databricks, Python, and/or R to extract, cleanse, transform, and load large datasets from various source systems, including SAP modules (FICO, SD, MM), JDE, Salesforce, and other cloud applications.
  • Develop and optimize SQL queries to retrieve and manipulate data from relational databases.
  • Ensure data accuracy, completeness, and consistency for audit analysis.
• Data Analysis & Visualization:
  • Perform complex data analysis to identify trends, anomalies, patterns, and potential control weaknesses or fraudulent activities, applying critical thinking to interpret ambiguous data points.
  • Develop and implement continuous auditing and monitoring routines.
  • Create compelling and interactive dashboards and reports using Power BI to visualize audit findings and insights for various stakeholders, including audit management and business leadership.
  • Communicate complex analytical results clearly and concisely to both technical and non-technical audiences, articulating the underlying critical insights.
• Audit Support & Strategy:
  • Collaborate with audit teams to understand audit objectives and design appropriate data analytics solutions to support audit engagements, using critical thinking to identify the most effective analytical approaches.
  • Identify opportunities for integrating data analytics into all phases of the audit lifecycle, from planning and risk assessment to fieldwork and reporting.
  • Assist in developing and implementing data analytics strategies, methodologies, and best practices within the Internal Audit function.
  • Stay abreast of emerging technologies and industry trends in data analytics, internal audit, and relevant business systems (e.g., SAP, JDE).
  • Ability to travel domestically and/or globally (up to 15%) as required
• Documentation & Governance:
  • Maintain thorough documentation of data extraction, transformation, and analysis processes, including data dictionaries, scripts, and methodologies.
  • Utilize Azure DevOps for version control, collaboration, and managing the lifecycle of data analytics projects (e.g., source code management, task tracking, CI/CD pipelines).
  • Ensure compliance with data governance policies and procedures.

Qualifications

• Bachelor's degree in Computer Science, Data Science, Information Systems, Finance, Accounting, or a related quantitative field.
• 4+ years of progressive experience in a data analyst, business intelligence, or similar technical role, preferably within an internal audit, finance, or risk management function.
• Proven hands-on experience and strong proficiency with:
  • Databricks: Experience with data engineering, ETL, and analytical workflows within the Databricks platform (e.g., PySpark, SQL).
  • Python and/or R: Strong scripting skills for data manipulation, statistical analysis, and automation.
  • Power BI: Expert-level ability to design, develop, and publish interactive dashboards and reports.
  • SQL: Advanced SQL querying skills for complex data extraction and manipulation.
  • SAP Modules (FICO, MM): Solid understanding of data structures and reporting capabilities within SAP Financial Accounting (FICO), Sales& Distribution (SD), and Materials Management (MM) modules. Experience extracting and analyzing data from these modules is essential.
  • Azure DevOps: Practical experience with features such as Repos (Git), Boards, and Pipelines for project management and code deployment.
• Strong analytical, problem-solving, and critical thinking skills with the ability to interpret complex data, identify root causes, anticipate potential issues, and draw meaningful, actionable conclusions.
• Excellent communication (written and verbal) and interpersonal skills, with the ability to present complex data insights to non-technical stakeholders.
• Ability to work independently and collaboratively in a fast-paced, dynamic environment.
• High level of integrity and professional skepticism.

Preferred Qualifications

• Master's degree in a relevant field.
• Certifications such as Certified Analytics Professional (CAP), Certified Internal Auditor (CIA), or relevant technical certifications.
• Experience with other cloud platforms (e.g., Azure beyond DevOps, AWS, GCP).
• Knowledge of auditing standards and practices.

Required Skills

Optional Skills

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Primary Work Location

Additional Locations

Work Shift