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
