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 At Baker Hughes, we are transforming the future of energy. With operations in over 120 countries, we are developing and deploying industry-leading technologies and services to take energy forward. For more than a century, our inventions have revolutionized energy. Today, we are bringing our expertise to make oil and gas safer, cleaner, and more efficient. Our people are the trusted experts, relied on to solve customer challenges big and small. We invest in the health and well-being of our workforce, train and reward talent, and develop leaders at all levels to bring out the best in each other. We believe in creating an environment of diversity and inclusion, without bias. We know we are better when all of our people are developed, engaged, and able to bring their whole authentic selves to work. We're makers, inventors, and leaders who aren't afraid of the tough challenges. We believe pushing boundaries will help to lead the way for a new energy future.