Senior Data Analyst

Senior / Data Analyst

We are looking for a highly driven and motivated Senior Data Analyst to join the Group Risk and Assurance team in Vietnam. Reporting to Singapore Senior Manager Risk and Assurance this is a critical role in analysing and interpreting complex data sets to provide actionable insights that drive our risk management and assurance strategies. This individual will work closely with the Hiring Manager and other stakeholders to develop data models perform data analysis and support the implementation of analytic initiatives to achieve goals in our Data analytics journey.

Key Responsibilities

Collect clean and analyze data from various sources to identify trends patterns and insights related to risk and assurance.

Develop and maintain data models dashboards and reports to support decisionmaking processes.

Collaborate with the Risk and Assurance team to understand data requirements and deliver insights that address key business questions.

Perform statistical analysis and predictive modeling to assess risks and opportunities.

Create and present data visualizations that effectively communicate findings to stakeholders.

Support the development and implementation of datadriven strategies and initiatives.

Ensure data quality and integrity by implementing best practices for data management.

Monitor and evaluate the effectiveness of analytic initiatives and make recommendations for improvements.

Stay updated with the latest industry trends and best practices in data analytics and risk management.

Job Requirements

Bachelors degree in Data Science Statistics Mathematics Computer Science or a related field.

Mininum 58 years of experience as a Data Analyst preferably in risk management or audit.

Strong proficiency in data analysis tools and software such as SQL Python R and Excel.

Extensive experience with data visualization tools such as Power BI Tableau or similar.

Demonstrated ability to create and maintain interactive dashboards.

Experience with machine learning techniques and frameworks is a plus.

Knowledge of prompt engineering and natural language processing is desirable.

Knowledge of statistical analysis and predictive modeling techniques.

Experience in continuous monitoring of risks and control weaknesses

Excellent analytical and problemsolving skills with the ability to interpret complex data sets.

Strong knowledge of data quality data governance and data security principles and practices

Strong communication skills with the ability to present data insights to nontechnical stakeholders.

Attention to detail and a commitment to data quality and accuracy.

Ability to work independently and collaboratively in a team environment and manage multiple priorities.

Selfdriven proactive and capable of probing for solution

Adaptability and willingness to learn.

Ability to handle confidential information discreetly.

Experience in Big Four regulated government industry or with Fraud Audit Compliance and Risk management processes is a plus.

Remote Work :

No