Specialist - Data Engineering

As a member of the Internal Audit Analytics and Automation team, you will be responsible for developing, planning and executing analytics and automation tools to evaluate internal controls across the organization, ensuring effectiveness, industry best practices and regulatory requirements. If you are someone who enjoys working in results driven and high-performing international culture and thrive in a creative and dynamic environment, this is the role for you.

• Lead the design and execution of advanced data analytics and automation initiatives to enhance audit effectiveness and efficiency.

• Work with other Internal Audit team members to collect, process, and analyze data to identify trends and insights.

• Collaborate with cross-functional stakeholders to identify opportunities for embedding analytics into the audit lifecycle and risk assessment processes.

• Develop and maintain reusable analytics assets, including scripts, dashboards, and automation templates, to support scalable audit solutions.

• Evaluate emerging technologies and tools (e.g., AI/ML, RPA) for potential integration into audit methodologies.

• Drive continuous improvement by identifying gaps in current audit processes and proposing data-driven enhancements..

• Present complex analytical findings and automation outcomes to senior leadership in a clear, actionable manner.

• Contribute to the development of audit strategy by incorporating insights from data trends, risk indicators, and business intelligence.

• Bachelor's degree in Analytics, Information Systems, Computer Science, Accounting, Finance, or a related field.

• Up to 6 years of experience in data analysis, audit, or a related area.

• Strong analytical and problem-solving skills.

• Familiarity with Programming and data analytics tools and software (Power BI, Alteryx, Power Automate etc.).

• Basic understanding of audit principles, internal controls and risk management practices.

• Experience with APIs development.

• Excellent communication and partnership abilities.

• Data Analytics and Automation Certification preferred.

Come as You Are

Nasdaq is an equal opportunity employer. We positively encourage applications from suitably qualified and eligible candidates regardless of age, color, disability, national origin, ancestry, race, religion, gender, sexual orientation, gender identity and/or expression, veteran status, genetic information, or any other status protected by applicable law.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation.