Data Analytics Manager- Internal Audit

EMEA shift

Job Title : Data Analytics Manager Internal Audit

Job Location : Mumbai, India

Reports to : Executive Director, Internal Audit

Position Summary : At NCR Atleos, our Internal Audit Department (IAD) purpose is to help enable competent and informed decisions to add value and improve operations, while contributing meaningfully to Board and organizational confidence. We are indispensable business partners, with a brand focused on insight, impact and excellence. We believe that everything we do is to enhance value, provide insights, and instill confidence. To do this, we must be relevant, connected, flexible, and courageous.

NCR Atleos IAD is seeking a Data Analytics Manager who will play a critical role in enhancing the Internal Audit function through data-driven insights, analytics, and process optimization. This role will report directly to the Executive Director, Internal Audit”.

Key Areas of Responsibility:

Data Analytics Strategy & Execution: Develop and implement data analytics methodologies to support the internal audit function; Design and execute advanced data analysis scripts and models to identify trends, anomalies, and potential risks; Partner with the audit teams to integrate analytics into audit planning, execution, and reporting.

Audit Support: Collaborate with the Director of Internal Audit to support audits in the areas of technology, information security, business processes, and financial operations; Extract, analyze, and interpret data from various enterprise systems to support audit objectives; Provide insights that enhance audit outcomes and help identify areas for operational improvement.

Data Visualization & Reporting: Create clear, actionable, and visually compelling reports and dashboards to communicate audit findings to stakeholders and the Audit Committee; Develop templates and standards for data analytics in audit work products to ensure consistency and clarity.

Collaboration & Training: Work closely with IT, Finance, Operations, and other business units to gather data and validate insights; Mentor and train other Internal Audit team members on leveraging data analytics tools and techniques; Build partnerships across the organization to foster a culture of data-driven decision-making.

Technology & Tools: Identify, evaluate, and implement data analytics tools and technologies to improve audit processes; Stay updated on emerging technologies and trends in data analytics and audit methodologies; Support automation initiatives to enhance efficiency within the Internal Audit department.

Compliance & Risk Management: Ensure data analytics initiatives align with organizational compliance requirements and internal audit standards; Monitor and evaluate data integrity, system reliability, and process controls across business units.

Continuous Improvement: Stay abreast of emerging technologies, audit methodologies, and regulatory changes. Support the Executive Director in overseeing the use of technology within the audit function, including data analytics and audit management software, to enhance audit quality and efficiency. Contribute to innovation and improvements to the IT audit process, controls and the overall Internal Audit Department.

Qualifications:

• Education: Bachelor’s or master’s in computer science, IT, Engineering, Data Science, Econometrics, or related fields.
• Experience: Proven data analytics experience in internal audit or risk management, with strong analytical, problem-solving, and project management skills.
• Statistical Methods: Proficient in regressions, time series, clusters, and decision trees.
• Programming: Skilled in JavaScript, Python, R, PHP, .NET, SQL.
• Databases: Expertise in relational databases, data warehouses, ETL, UI tools, and query optimization.
• Visualization: Proficient in Tableau, Power BI, and advanced MS Office skills.
• Cloud Platforms: Experience with Microsoft Azure, Data Bricks, Hadoop, or similar platforms.
• Project Management: Experience managing analytics projects and stakeholder management.
• Communication: Ability to convey complex data insights to non-technical stakeholders.
• Leadership: Demonstrated leadership and team mentoring skills.
• Cultural Sensitivity: Ability to work effectively in a global environment.
• Languages: Proficiency in multiple languages is an advantage.
• Ethics: High ethical standards and commitment to audit integrity.
• Confidentiality: Ensuring the security of sensitive data.
• Team Environment: Positive attitude within a dynamic team setting.