Audit Specialist - Data Analytics and Automation, GE HealthCare Internal Audit (Bengaluru, India - Hybrid)

Job Description SummaryGE HealthCare (GEHC) is a leading global medical technology and digital solutions innovator. Our purpose is to create a world where healthcare has no limits. Unlock your ambition, turn ideas into world-changing realities, and join an organization where every voice makes a difference, and every difference builds a healthier world.

The Internal Audit (IA) function is in year three of its transformation following GEHC’s separation in January 2023 as a standalone public company. As part of the transformation, IA is creating a modern, data-driven program with a LEAN mindset. The IA function is a global team with presence in United States, United Kingdom, Singapore, and India. The function is independent and reports to the GEHC Audit Committee.

Reporting to the Data Analytics and Automation Audit Manager, the Audit Specialist - Data Analytics and Automation will interact with key process owners and colleagues across GEHC. The Audit Specialist - Data Analytics and Automation will also be responsible for leveraging data analysis techniques to support audit activities, enhance audit efficiency, and provide data-driven insights. The Audit Specialist - Data Analytics and Automation will gain a robust understanding of the operations of segments, regions, and functions within GEHC. This role requires clear communication with team members worldwide, as well as the ability to independently manage tasks within a flexible schedule.

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Job Description

Job Description

A key priority for this role will be to execute data analytics and automation projects in a fast paced and growth-oriented environment in accordance with the IA methodology and the Institute of Internal Auditors (IIA) Standards. Working autonomously as well as in collaboration with other members, the Audit Specialist - Data Analytics and Automation will support in various aspects of IA processes such as risk assessments, audit planning and execution, issue management and special department initiatives for continuous improvement.

Roles and Responsibilities

• Leverages and applies advanced data concepts, tools, and programming techniques (e.g., Teradata, and/or comparable platforms) to perform, extract, transform, load (ETL) and analyze activities, and proactively shares knowledge with team members.

• Contributes to the overall automation of audit bot design, build, testing/defect resolution, and change control management procedures.

• Partners with enterprise data lake and automation teams to ensure the accuracy and completeness of bot designs, and quality of bot output.

• Contributing to the planning and completion of high-quality engagement deliverables on time and on budget.

• Supports the extraction, manipulation, visualization, and analysis of data that support the internal audit lifecycle.

• Operationalizes analytical models (e.g., regression, simulation, statistical, etc.) for direct application to audit scope areas for the identification of outliers, trends and/or projections, where appropriate.

• With oversight from Managers and other senior team members, identify trends, anomalies, and areas for improvement in business operations.

• Assisting in the design and layout of analysis and in writing accurate reports to depict findings, contributing to the development of conclusions and recommendations.

• Establishing credibility and developing relationships with key client stakeholders including front-line staff and mid-level managers.

• Facilitates data-driven discussions with IA team members and provides recommendations for streamlining audit finding analysis during on-going audits and in the planning of future audits.

• Stays current on data analytics trends (e.g., new tools, statistical methods, visualization techniques), relevant business risks across GE HealthCare Business Units, as well as emerging industry technologies that impact how and where data and automation can be used on audits and in support of key company controls (e.g., AI, Blockchain, RPA).

• Embrace an equitable and inclusive environment where people can bring their full selves to work and unlock their greatest potential and contributions to the team.

Required Competencies

• Data Literacy

  • Data Science and Artificial Intelligence (AI) Knowledge: Understands the principles of data science and can execute data science and AI projects.

  • Data Source Identification: Is aware of data sources to use for data analytics work and understands how the data sources align to key risks.

  • Communication of Data and Analytics: Understands what constitutes good data communication skills and can clearly explain data analysis results.

• Communication & Relationship Management

  • Relationship Management/ Business Partnerships: Cultivates and maintains extensive informal networks and can establish and maintain good working relationships with all staff at all levels of the organization.

Required Qualifications

• A Bachelor’s degree or Master’s degree in Data Analytics, Mathematics, Computer Science or other technical field.

• Two to five years of data analytics development and deployment. Experience in an Internal Audit or Cyber Security data analytics capacity, preferred.

• Proficiency in Python or R for data analysis and automation.

Desired Characteristics

• Have or willing to pursue Microsoft Certified Azure Data Scientist Associate, aCAP, CCA Data Analyst, CISA, CRISC, or similar certifications/designations.

• Proficiency in SQL for querying and managing data.

• Advanced knowledge of generative AI principles and their application in data analysis.

• Advanced understanding of GitHub for version control and collaborative code management.

• Strong problem-solving skills that demonstrate logical and analytical thought processes with high attention to detail and accuracy.

• Proficiency in data mining, analysis, and visualization tools, along with a strong understanding of data integrity issues.

• Experience with data visualization and dashboard development in PowerBI or similar.

• Knowledge of current data analytics tools, techniques, and landscape, as well as a dedicated and self-driven desire to keep abreast of the latest data analytics techniques.

• Experience with business fraud or internal audit analytics and investigation techniques.

• Ability to work collaboratively with minimal supervision as part of a multi-disciplinary team.

• Strong communications skills (verbal and written) with both technical and non-technical audiences.

• Ability to flex personal style according to the context of a situation to drive engagement with all stakeholders.

• Ability to travel internationally and domestically approximately 5-10%.

Inclusion and Diversity

GE HealthCare is an Equal Opportunity Employer where inclusion matters. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.

We expect all employees to live and breathe our behaviors: to act with humility and build trust; lead with transparency; deliver with focus, and drive ownership – always with unyielding integrity.

Our total rewards are designed to unlock your ambition by giving you the boost and flexibility you need to turn your ideas into world-changing realities. Our salary and benefits are everything you’d expect from an organization with global strength and scale, and you’ll be surrounded by career opportunities in a culture that fosters care, collaboration and support

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