HR Data Analyst/Scientist

1 month ago

Norfolk, United States Careers@Gov Full time
[What the role is]
The Monetary Authority of Singapore (MAS) is Singapore’s central bank and integrated financial regulator.

As central bank, MAS promotes sustained, non-inflationary economic growth through the conduct of monetary policy and close macroeconomic surveillance and analysis. It manages Singapore’s exchange rate, official foreign reserves, and liquidity in the banking sector.

As an integrated financial supervisor, MAS fosters a sound financial services sector through its prudential oversight of all financial institutions in Singapore – banks, insurers, capital market intermediaries, financial advisors, and stock exchanges. It is also responsible for well-functioning financial markets, sound conduct, and investor education.

MAS also works with the financial industry to promote Singapore as a dynamic international financial centre. It facilitates the development of infrastructure, adoption of technology, and upgrading of skills in the financial industry.

Join us now, if you have a genuine interest in making an impact to help shape Singapore’s economic and financial landscape.

[What you will be working on]

We are seeking a skilled HR Data analyst/Scientist to join our team and revolutionize our human resources strategies through data-driven insights and analytics. As an HR Data Analyst/Scientist, you will be responsible for leveraging data to optimize HR processes, enhance employee experiences, and drive business performance.

Your responsibilities include:

1. Collect, clean, and analyze large datasets related to employee demographics, performance, engagement, retention, and other HR metrics.

2. Utilize statistical techniques and machine learning algorithms to build predictive models for employee turnover, performance, and other key HR outcomes.

3. Identify trends, patterns, and correlations in HR data to uncover actionable insights and inform strategic decision-making.

4. Collaborate with HR stakeholders to identify areas for process improvement and develop data-driven solutions to enhance HR operations.

5. Use data analysis to understand employee needs and preferences, and recommend strategies to enhance the employee experience.

6. Evaluate the effectiveness of HR initiatives and programs through data analysis, and provide recommendations for optimization.

7. Create clear and compelling data visualizations, dashboards, and reports to communicate findings and insights to stakeholders.

8. Stay abreast of emerging trends and best practices in HR analytics, data science, and technology, and identify opportunities for innovation.

9. Any other tasks and assignments as may be assigned.

[What we are looking for]

Requirements:

  • Proven experience in HR analytics, data science, or a related field, with a strong understanding of HR processes and metrics.

  • Proficiency in statistical analysis, machine learning techniques, and data manipulation using tools such as Python, R, SQL, and/or other relevant programming languages and tools.

  • Proficient in using data visualisation tools such as Tableau

  • Strong analytical and problem-solving skills, with the ability to translate complex data into actionable insights

  • Excellent communication and presentation skills, with the ability to effectively communicate technical concepts to non-technical stakeholders and good at data story-telling

  • Ability to work collaboratively in a fast-paced environment and manage multiple projects simultaneously.

  • Strong attention to detail and a commitment to accuracy and quality in data analysis and reporting.

  • Experience with HR Systems (e.g. Workday) and other HR technology platforms is a plus.

  • Candidates who are IHRP-certified will be considered favourably.

Join us in reshaping the future of HR through data-driven decision-making and innovation.

As part of the shortlisting process for this role, you may be required to complete a medical declaration and/or undergo further assessment. All applicants will be notified on whether they are shortlisted or not within 4 weeks of the closing date of this job posting.

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