96 Hcm Analyst jobs in Singapore

Members for HR Business Operations Support (Authorisation and Workflow)

• Required Qualifications:
• At least a Diploma/Degree in Computer Science, Information System, Science, Engineering or Equivalent.
• Competencies including knowledge of SAP user provisioning, indirect assignment of roles, SQL programming, and Office productivity suites.
• Ability to work independently and efficiently, managing timelines and expectations and producing high quality deliverables with minimum supervision.
• Good planning, communication, and coordination skills.
• Required Working Experience:
• At least 2 years of working experience in information technology.
• Experience in SAP HCM ERP and HR projects is preferred.

About Us:

We are a leading technology company at the forefront of innovation, dedicated to creating cutting-edge solutions that revolutionize industries.

Job Brief:

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• We are looking for an experienced HR Manager who will recruit, support and develop talent through developing policies and managing procedures.
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• The ideal candidate will be responsible for administrative tasks and contribute to making the workplace better.
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• If you have a passion for HR and are highly efficient, we would like to meet you.
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Responsibilities:

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• Support the development and implementation of HR initiatives and systems.
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• Provide guidance on policies and procedures.
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• Be actively involved in recruitment by preparing job descriptions, posting ads and managing the hiring process.
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• Create and implement effective onboarding plans.
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• Develop training and development programs.
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• Assist in performance management processes.
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• Support the management of disciplinary and grievance issues.
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• Maintain employee records according to policy and legal requirements.
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• Review employment and working conditions to ensure compliance with laws and regulations.
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Requirements and Skills:

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• Proven experience as an HR Manager, administrator or other HR position.
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• Knowledge of HR functions (pay & benefits, recruitment, training & development etc.).
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• Understanding of labour laws and disciplinary procedures.
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• Proficient in MS Office; knowledge of HRMS is a plus.
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• Outstanding organisational and time-management abilities.
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• Excellent communication and interpersonal skills.
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• Problem-solving and decision-making aptitude.
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• Strong ethics and reliability.
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• BSc/BA in business administration, social studies or relevant field; further training will be a plus.
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How to Apply:

Please submit your resume and cover letter detailing your qualifications and interest in the position.

Essential Skills:

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• Human Resources Management
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• Payroll Administration
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• Employee Relations
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• Benefits Administration
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• Training and Development
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Desirable Skills:

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• HR Information Systems
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• MS Office Suite
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The Sr. Director of Human Capital Management will play a pivotal role in driving organizational growth and performance by leading strategic initiatives that foster employee engagement, talent development, and regulatory compliance.

• Strategic HR Leadership: Collaborate with senior leaders to develop a comprehensive people strategy aligned with business objectives.
• Talent Acquisition & Workforce Planning: Oversee recruitment strategies to attract top talent across engineering, manufacturing, quality, regulatory, and commercial functions.
• Talent Management & Development: Implement leadership development, technical training, and high-potential programs to build future leadership capacity.
• Compensation, Benefits & Rewards: Develop a total rewards strategy, including salary structures, incentive programs, retention plans, and benefits.
• Employee Engagement & Culture: Drive initiatives to enhance employee recognition, retention, and overall job satisfaction in a fast-paced environment.
• Regulatory Compliance & HR Governance: Ensure compliance with international labor laws, ISO 13485 requirements, and other relevant regulations.

· Bachelor's degree in Human Resources Management or related field; advanced HR certifications preferred.

· Minimum 12–15 years of progressive HR experience, including at least 5 years in a senior leadership role in manufacturing, MedTech, life sciences or relevant industries.

We are seeking an experienced IT Business Data Process Analyst to enhance our team in Singapore.

• Analyzing current business processes, workflows, and procedures using Python data analysis techniques to identify areas for improvement.

• Leveraging data analytics and visualization skills to drive digitalization initiatives using Python and Tableau.
• Developing optimized processes and procedures to improve efficiency, productivity, and customer satisfaction.

• Bachelor's or master's degree in information technology, engineering, computer science, or related fields.
• At least 9 years of experience in business process data analysis and IT project management.
• Proficient in SQL data analysis and strong analytical skills with the ability to collect, study, and interpret complex data.
• Familiarity with process mapping and modeling techniques, as well as Incident/Problem/Change Management frameworks such as ITIL TQM or ISO 9000:2000.
• Excellent communication and teamwork skills, with proficiency in Microsoft Office suite, including advanced Excel, PowerPoint, and Visio.

• Create data models to meet various business needs by combining data from different sources for a comprehensive view of the data landscape.
• Clean, transform, and analyse data to extract valuable insights.
• Use statistical methods to identify trends, patterns, and correlations in the data.
• Present analysis results through interactive dashboards, visual reports, and data visualizations using Power BI to clearly communicate findings
• Develop and maintain predictive and statistical models using machine learning techniques to support decision-making processes.
• Write and optimize code to automate data collection, processing, and analysis tasks.
• Collaborate closely with other departments understand their data needs, provide analytical support, and develop customized data solutions.
• Continuously assess and refine data collection, processing, and analysis workflows to improve efficiency, reduce errors, and enhance data quality.

• Strong skills in writing Oracle SQL, optimizing database performance, and managing large data sets.
• Experience with Python and R for data analysis, statistical modelling, and automation tasks.
• Experience working with large data sets, cleaning, transforming, and analyzing data to generate insights.
• Strong understanding of statistical concepts
• Familiarity with data visualization tools like Power BI or similar platforms to create interactive dashboards and reports.
• Bachelor's degree or higher in IT-related, Statistical, or Mathematical.

As a risk assessment and data analysis expert, you will drive business decisions by combining actuarial knowledge with advanced data analytics skills.
Your Key Responsibilities

• Analyse treaty terms and product features in collaboration with actuarial and accounting teams to ensure accurate interpretation and implementation.
• Lead the onboarding of new treaties into our systems, ensuring accurate mappings, data consistency, and validation of results.
• Maintain high data quality by performing comprehensive checks, cleaning, and reconciliations, supporting portfolio management and pricing analysis.
• Design and maintain dashboards on Excel and Power BI to visualize, monitor, and analyse client data for business decision-making.
• Conduct ad-hoc analyses, including premium reconciliations, claims investigations, and preparation of datasets for experience studies and management reporting.
• Liaise with clients and internal stakeholders to identify, investigate, and resolve data issues, ensuring robust documentation and consistent data standards.
• Review and validate analytical outputs and data processes to ensure accuracy and uphold high-quality output from the team.
• Support junior members of the team in expanding their actuarial, systems, and insurance knowledge.

• Fellow of a recognized actuarial body.
• Bachelor's degree in Actuarial Science or related field, with a strong interest in data analytics.
• Minimum 3 years of experience in actuarial-related roles; experience in life insurance industry preferred.
• Proficient in Excel and SQL, with hands-on experience in data automation and managing large datasets.
• Skilled in data visualization, particularly using Power BI to develop clear and insightful dashboards.
• Strong analytical and problem-solving skills to interpret complex data structures and ensure high levels of data accuracy through thorough validation and reconciliation.

We are seeking a highly skilled Data Analytics Specialist to join our team. The successful candidate will be responsible for driving our digital vision by leveraging technology, automation, and data analytics to enhance auditors' efficiency and effectiveness.

The ideal candidate will have a strong background in data pipeline construction and data lake management, as well as expertise in handling structured and unstructured data. They will also have excellent technical skills in relevant data analytics tools (Python, R etc) and AWS cloud platform.

In this role, you will work closely with Internal Auditors to analyze large data sets, trends and results to drive data-driven operational risk decisions. You will also be responsible for addressing data risks, including those related to PII (Personally Identifiable Information), and ensuring secure data handling throughout the pipeline.

You will be required to leverage data analytics for structured and unstructured data to identify patterns and anomalies and generate actionable insights to enhance risk and controls. This will involve using quantitative analysis methods for business decisions and applying data team's expertise to solve critical technical problems.

The successful candidate will have a Bachelor's degree in Computer Science or equivalent, with 10+ years of data analytics experience. They will also have a passion for delivering value and driving successful outcomes for the organization.

• Bachelor's degree in Computer Science or equivalent, with 10+ years of data analytics experience
• Proven expertise in data pipeline construction and data lake management
• Expertise in handling structured and unstructured data
• Strong technical skills in relevant data analytics tools (Python, R etc) and AWS cloud platform
• Excellent communication skills
• Leverage of Gen AI to expedite the delivery of solutions

This is an exciting opportunity to work with a leading organization and contribute to the development of innovative solutions. We offer a competitive salary package, comprehensive benefits, and opportunities for professional growth and development.

If you are a motivated and experienced data analytics professional looking for a new challenge, please apply today. We look forward to hearing from you!

You will be responsible to develop data models and analyze data to provide insights and support decision-making through visualizations and predictive modeling.

Job Description

• Create data models to meet various business needs by combining data from different sources for a comprehensive view of the data landscape.
• Clean, transform, and analyse data to extract valuable insights.
• Use statistical methods to identify trends, patterns, and correlations in the data.
• Present analysis results through interactive dashboards, visual reports, and data visualizations using Power BI to clearly communicate findings
• Develop and maintain predictive and statistical models using machine learning techniques to support decision-making processes.
• Write and optimize code to automate data collection, processing, and analysis tasks.
• Collaborate closely with other departments understand their data needs, provide analytical support, and develop customized data solutions.
• Continuously assess and refine data collection, processing, and analysis workflows to improve efficiency, reduce errors, and enhance data quality.

Requirements

• Strong skills in writing Oracle SQL, optimizing database performance, and managing large data sets.
• Experience with Python and R for data analysis, statistical modelling, and automation tasks.
• Experience working with large data sets, cleaning, transforming, and analyzing data to generate insights.
• Strong understanding of statistical concepts
• Familiarity with data visualization tools like Power BI or similar platforms to create interactive dashboards and reports.
• Bachelor's degree or higher in IT-related, Statistical, or Mathematical.