Audit Analytics Specialist

bakerhughes; Bengaluru; On-site; INR 1,800,000 - 2,400,000; Full time

Job summary

Baker Hughes is seeking an Audit Analytics Specialist to join the Internal Audit Technology & Innovation team in Bengaluru. The role blends data science, data engineering and business process understanding to design, develop, and deploy analytics, automation and AI-enabled solutions that enhance audit execution.

You will build dashboards, supports data extraction, automation, and scalable governance, and collaborate with auditors and IT to deliver data-driven insights across P2P, O2C, inventory,

Qualifications

• 4+ years in data analytics, data engineering, or audit analytics.
• Hands-on experience with Python, R, SQL.
• Experience building dashboards (Power BI, Tableau) for non-technical stakeholders.
• Understanding core business cycles (P2P, O2C, supply chain).

Responsibilities

• 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 tools.
• Migrate analytics into scalable, governed platforms.
• Provide analytics support during audits and train teams.

Skills

Data Science

Data Engineering

SQL

Python

R

Dashboarding

Business Process

Education

Degree in Data Science/CS/Engineering

Tools

Power BI

Tableau

ACL

Job description

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 Senior Specialist - Data Science