Manager / Assistant Senior Manager (Data Analytics)

3 weeks ago


Singapore NATIONAL UNIVERSITY OF SINGAPORE Full time
Roles & Responsibilities

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

NUS Office of Internal Audit (OIA) is an independent unit that plays an important role in partnering with the stakeholders across the University to ensure that management anticipates, recognizes, and appropriately manages risks through its audit and advisory services.

As a data analyst in our Internal Audit Team, you are involved in the design and performance of data analytics tests to support OIA’s continuous monitoring and auditing initiatives.

Key Responsibilities:

  • Identify relevant datasets and perform data extraction and transformation from various sources (e.g. structured and unstructured data from multiple systems).
  • Create automated scripts to execute data analytics procedures to identify trends, anomalies and insights to support continuous monitoring and auditing initiatives.
  • Collaborate with Financial and Operational Audit, IT Audit and external stakeholders to develop interactive dashboards and reports to meet the business needs.
  • Help identify opportunities to innovate and transform how audits are performed through automation and data-driven solutions.
Qualifications
  • Degree in a relevant field (e.g. Data Science, Computer Science, Information Technology)
  • Proficiency in programming languages (e.g. SQL / Python).
  • Proficiency in use of data analytics and visualization tools (e.g. Alteryx / Tableau / Power BI).
  • Strong analytical and problem-solving skills with ability to work with large amounts of data.
  • Experience working with applications of RPA, NLP techniques and machine learning would be advantageous.
  • Strong interest in the application of data science and generative AI within the audit, risk and fraud domain.

Tell employers what skills you have

Tableau
Machine Learning
Information Technology
SQL
Python
IT Audit
Data Science
data extraction
Data Analytics
Power BI

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