Audit Analytics Specialist

Job Description - Audit Analytics Specialist Join our Internal Audit Technology & Innovation Team!
This role plays a key part in executing our Internal Audit Technology & Innovation Roadmap, supporting the design, development, and deployment of scripts, dashboards, automations, and AI‑enabled solutions that enhance audit execution, efficiency, and insights.

The role is a hybrid position combining elements of data science, data engineering, and business process understanding across cycles such as purchase‑to‑pay, order‑to‑cash, supply chain, and more.

• Partner with the best As an Audit Analytics Specialist, you will:

Technology & Analytics:

• Build and maintain audit analytics using Python/R/SQL/ACL

• Deliver roadmap initiatives across data extraction, automation, and dashboarding.

• Support development and deployment of AI‑enabled audit and workflow tools.

• Migrate analytics into scalable, governed platforms.

• Business & Domain Support

• Apply analytics to key business cycles (P2P, O2C, Inventory, FA, Revenue).

• Translate business needs into analytical solutions and support data‑driven audits.

• Audit Collaboration

• Provide analytics support during audits, including data access, scripts, and visualizations.

• Partner with auditors and IT teams to ensure reliable data and effective use of tools.

• Train audit teams on analytics and automation capabilities.

• Innovation

• Track emerging technologies and identify opportunities to modernize audit processes.

• Contribute to pilots, proofs of concept, and knowledge sharing across the IA function

• Fuel your passion Required Qualifications

• Strong academic background in Data Science, Engineering, Computer Science, Information Systems, Mathematics, Accounting Information Systems, or a related field. Candidates without these degrees will also be considered if they demonstrate equivalent skills through experience, certifications, or proven technical capability.

• Minimum 4 years of professional experience in data analytics, data engineering, data science, audit analytics, or similar technical roles.

• Hands‑on experience with Python, R, SQL, or other analytic programming languages.

• Demonstrated experience in data cleansing, data quality assessment, analytical data processing, and working with large datasets.

• Experience building dashboards (e.g., Power BI, Tableau) and presenting analytical findings to non‑technical stakeholders.

• Understanding of core business process cycles such as P2P, O2C, supply chain, inventory, fixed assets, revenue, etc.

• Ability to operate effectively in ambiguous situations and balance multiple priorities.

• Desired Characteristics Technical Expertise

• Awareness of data management practices, ETL concepts, and automation frameworks.

• Understanding of ERP systems such as SAP, Oracle, and Ariba.

• Leadership & Collaboration

• Ability to work effectively in team environments and collaborate across functions (audit, IT, data teams).

• Demonstrated critical thinking, structured problem solving, and analytical reasoning.

• Comfortable presenting findings and simplifying complex concepts.

• Personal Attributes

• Curious, self‑driven, and proactive in identifying opportunities for improvement.

• Comfortable experimenting, learning new tools, and working in evolving environments.

• Strong communication skills and ability to engage with both technical and business audiences.

• The Baker Hughes internal title for this role is: Digital Technology Specialist

• Data Science