At Nielsen, we are passionate about our work to power a better media future for all people by providing powerful insights that drive client decisions and deliver extraordinary results. Our talented, global workforce is dedicated to capturing audience engagement with content - wherever and whenever it’s consumed. Together, we are proudly rooted in our deep legacy as we stand at the forefront of the media revolution. When you join Nielsen, you will join a dynamic team committed to excellence, perseverance, and the ambition to make an impact together. We champion you, because when you succeed, we do too. We enable your best to power our future. Job Summary Nielsen’s Corporate Audit Staff (CAS) is a fast-paced, dynamic, and highly-selective team. CAS provides objective assurance over Nielsen’s reported financials and has reporting accountability to Nielsen’s management team, Audit and Risk Committee, and External Audit partner. As Nielsen is a global enterprise, CAS has audit responsibilities in over ~40 countries. Besides audit work, CAS engages in projects that support process improvement and critical strategic initiatives to support Nielsen. We are seeking a skilled and innovative Data Analytics Auditor to join our team. In this role, you will leverage advanced data analytics techniques to enhance our audit processes, identify risks, and provide valuable insights to improve our organization's operations and controls. The ideal candidate will combine strong analytical skills with a deep understanding of audit principles and business processes.
Responsibilities
Develop and implement data analytics strategies and execute complex data analysis queries to support audit objectives, risk assessment processes and continuous auditing efforts
Identify process deficiencies, inconsistencies, and/or incidents of fraud or misconduct through the use of data analytics tools and data visualization resources
Contribute to the development of audit process improvements and efficiency, including the development of automated routines, testing procedures, development of continuous auditing and monitoring programs, and audit templates
Collaborate with audit teams to integrate data analytics into traditional audit procedures, enhancing efficiency and effectiveness
Work on high impact projects related to process improvement, analytics, financial reporting, etc. and present results to senior leaders in a clear, compelling manner utilizing data visualization tools. Partner with the business to develop remediation plans and support best practice sharing
Partner with control owners to design and document effective and up-to-date narratives and process maps and continuously monitor for emerging risks and design gaps
Manage updates to current dashboards and partner with the team and the business to develop additional real-time data visualization dashboards to support audit objectives
Own all departmental data collection surveys, inclusive of control certifications and year-end inquiries
Stay current with emerging technologies and methodologies in data analytics and their application to auditing
Provide training and support to other audit team members on data analytics tools and techniques
Contribute to the development of the organization's data governance and quality assurance practices
Provide independent assurance on business compliance with policy, governance, and standard operating procedures
Utilize AI to enhance our audit processes and increase efficiencies
Contribute to Finance and IT audits, including control testing, as needed to support the overall audit plan
Qualifications
Bachelor's degree in Computer Science, Information Systems, Statistics, Information Technology, Management Information Systems, Data Analytics, or a related field. Master's degree preferred
3+ years of experience in data analytics, preferably within an audit or risk management context
Strong proficiency in data analysis tools and languages such as SQL, Python, R, or SAS
Proficiency with AI tools and ability to use these to enhance audit processes
Experience with data visualization tools like Tableau or Power BI
Solid understanding of statistical concepts and their application in audit and risk assessment
Knowledge of audit principles, risk management, and internal control frameworks
Familiarity with ERP systems and databases (specifically, SAP S4hana)
Professional certifications such as CISA, CIA, CPA, or ACDA are highly desirable Excellent problem-solving skills and attention to detail
Strong communication skills with the ability to explain complex analytical concepts to non-technical audiences
