Data Analytics Audit Manager - USDS
Apply NowCompany: TikTok
Location: New York, NY 10025
Description:
Responsibilities
Team Introduction:
Internal Audit plans and executes audit projects according to our risk-based audit plan, and evaluates the efficiency and effectiveness of financial, compliance, operational, and IT processes and controls. We collaborate with business functions in addressing risks and improving the control environment through timely and comprehensive audit work and remediation action tracking.
In order to enhance collaboration and cross-functional partnerships, among other things, at this time, our organization follows a hybrid work schedule that requires employees to work in the office 3 days a week, or as directed by their manager/department. We regularly review our hybrid work model, and the specific requirements may change at any time.
Responsibilities:
- Shape the Internal Audit strategy and roadmap using data-driven insights.
- Conduct annual risk assessments, leveraging data to drive risk-based audit planning.
- Integrate data analytics into all audit phases, including planning, fieldwork, reporting, and continuous monitoring.
- Design and maintain continuous auditing and data analytics methodologies to automate control testing.
- Work with the Global Internal Audit team on data-driven audit initiatives, ensuring consistent adoption at USDS.
- Maintain an inventory of applications, databases, and data warehouses to support audits.
- Proficiency in SQL for querying and analyzing large datasets to identify risks and trends relevant to audits.
- Collaborate with cross functional teams (i.e., IT, Security, Compliance, Finance, Engineering etc.) to ensure data governance and regulatory compliance.
- Oversee future in-house audit data analytics hires and support team development.
- Prepare and review audit workpapers from future in-house and third-party audit consultants.
- Stay updated on industry trends, emerging data analytics tools, artificial intelligence (AI), and automation technologies.
- Adapt to the evolving needs of the IA function - additional responsibilities may be assigned as the team.
Qualifications
Minimum Qualifications:
- 5+ years of audit experience in technology, Big 4, or regulated industries.
- Bachelor's degree or higher in a relevant field (Data Science, Computer Science, Information Systems, Accounting, Finance, etc.).
- Proficiency in data analytics tools (SQL, Python, R, Power BI, Tableau, Qlik Sense, etc.).
- Experience with large datasets, data warehouses, and cloud platforms (Snowflake, AWS, Google Cloud, Azure).
- Proven ability to manage in-house teams, oversee third-party audit partners, and lead complex audits.
- Strong data analysis and visualization skills to support audit insights and risk assessment. Knowledge of internal controls, audit methodologies, and compliance requirements.
- Willingness to travel domestically and internationally, depending on the audit area.
Preferred Qualifications:
- Professional certifications preferred: CISA, CIA, CPA, AWS Certified Data Analyst, Google Data Analytics Professional Certificate, or similar certifications.
- Experience in statistical programming (e.g., R, Python, MATLAB) and data visualization tools (e.g. Mode Analytics/Chartio/Tableau/Qlikview)
- Experience in FinTech, Financial Services, Retail, SaaS, or technology-related industries is highly preferred.
- Excellent communication, interpersonal, and written skills.
Team Introduction:
Internal Audit plans and executes audit projects according to our risk-based audit plan, and evaluates the efficiency and effectiveness of financial, compliance, operational, and IT processes and controls. We collaborate with business functions in addressing risks and improving the control environment through timely and comprehensive audit work and remediation action tracking.
In order to enhance collaboration and cross-functional partnerships, among other things, at this time, our organization follows a hybrid work schedule that requires employees to work in the office 3 days a week, or as directed by their manager/department. We regularly review our hybrid work model, and the specific requirements may change at any time.
Responsibilities:
- Shape the Internal Audit strategy and roadmap using data-driven insights.
- Conduct annual risk assessments, leveraging data to drive risk-based audit planning.
- Integrate data analytics into all audit phases, including planning, fieldwork, reporting, and continuous monitoring.
- Design and maintain continuous auditing and data analytics methodologies to automate control testing.
- Work with the Global Internal Audit team on data-driven audit initiatives, ensuring consistent adoption at USDS.
- Maintain an inventory of applications, databases, and data warehouses to support audits.
- Proficiency in SQL for querying and analyzing large datasets to identify risks and trends relevant to audits.
- Collaborate with cross functional teams (i.e., IT, Security, Compliance, Finance, Engineering etc.) to ensure data governance and regulatory compliance.
- Oversee future in-house audit data analytics hires and support team development.
- Prepare and review audit workpapers from future in-house and third-party audit consultants.
- Stay updated on industry trends, emerging data analytics tools, artificial intelligence (AI), and automation technologies.
- Adapt to the evolving needs of the IA function - additional responsibilities may be assigned as the team.
Qualifications
Minimum Qualifications:
- 5+ years of audit experience in technology, Big 4, or regulated industries.
- Bachelor's degree or higher in a relevant field (Data Science, Computer Science, Information Systems, Accounting, Finance, etc.).
- Proficiency in data analytics tools (SQL, Python, R, Power BI, Tableau, Qlik Sense, etc.).
- Experience with large datasets, data warehouses, and cloud platforms (Snowflake, AWS, Google Cloud, Azure).
- Proven ability to manage in-house teams, oversee third-party audit partners, and lead complex audits.
- Strong data analysis and visualization skills to support audit insights and risk assessment. Knowledge of internal controls, audit methodologies, and compliance requirements.
- Willingness to travel domestically and internationally, depending on the audit area.
Preferred Qualifications:
- Professional certifications preferred: CISA, CIA, CPA, AWS Certified Data Analyst, Google Data Analytics Professional Certificate, or similar certifications.
- Experience in statistical programming (e.g., R, Python, MATLAB) and data visualization tools (e.g. Mode Analytics/Chartio/Tableau/Qlikview)
- Experience in FinTech, Financial Services, Retail, SaaS, or technology-related industries is highly preferred.
- Excellent communication, interpersonal, and written skills.