Assistant Manager, Analytics and Procurement

Dynamic Human Capital Pte Ltd; Singapore; On-site; SGD 67,000 - 100,000; Full time

Job summary

Dynamic Human Capital Pte Ltd is seeking a mid-level Data & Procurement Analyst to partner with clinicians and operational teams in Singapore. You will collect, manage and analyze clinical, operational and financial data, and design dashboards to support decision-making.

The role includes sourcing, tendering, contracting and ongoing vendor management to achieve cost-effective outcomes. The ideal candidate has a Bachelor’s degree in a related field and at least 2 years’ experience in procurement

Qualifications

• Bachelor’s degree in data analytics, statistics, business analytics or related field.
• Minimum 2 years of procurement experience, preferably in healthcare/public sector or large corporate environments.
• Proficient in Excel and Power BI; Python and SQL are highly preferred for data analysis and automation.

Responsibilities

• Partner clinicians and stakeholders to collect, manage and analyze clinical, operational and financial data.
• Design, develop and maintain dashboards, scorecards and reports for performance monitoring.
• Perform data mining, benchmarking and forecasting to identify opportunities for improvement and cost savings.
• Lead end-to-end procurement processes: sourcing, tendering, contracting, purchasing and vendor management.
• Ensure data governance, integrity and consistency across reports and databases.
• Drive automation and data visualization improvements to increase reporting efficiency.

Skills

Data analytics

Stakeholder management

Problem solving

Education

Bachelor’s degree in data analytics / related discipline

Tools

Power BI

Excel

Python

SQL

Job description

Job Description

• Partner clinicians, and operational stakeholders in the collection, management and analysis of clinical, operational and financial data.
• Design, develop and maintain dashboards, scorecards and reports to support performance monitoring and management decision-making.
• Perform data mining, trend analysis, benchmarking and forecasting to identify opportunities for operational improvement and resource optimisation.
• Support clinician performance tracking, research projects, quality improvement initiatives and data submissions through data extraction, validation and analysis.
• Develop automated reporting and data visualisation solutions to improve reporting efficiency, accessibility and accuracy.
• Ensure data integrity, governance and consistency across reports, dashboards and databases.
• Lead end-to-end procurement activities, including sourcing, quotation/tender exercises, vendor evaluation, contract administration, purchase requisitions and purchase orders, ensuring timely and cost-effective procurement outcomes.
• Work with stakeholders to understand business requirements, provide procurement advice and develop value-for-money sourcing strategies that support organisational objectives.
• Manage vendor relationships, monitor contract utilisation and supplier performance, and oversee contract renewals to ensure service quality and business continuity.
• Conduct spend analysis, market benchmarking and demand forecasting to identify opportunities for cost savings, process improvements and resource optimisation.
• Drive procurement improvement initiatives through data analytics, process review and automation, and prepare procurement reports and insights to support management decision-making.
• Ensure compliance with procurement policies, governance requirements and financial procedures, while maintaining proper documentation, audit readiness and effective risk controls.
  

Job Requirements

• Bachelor’s degree in data Analytics, Statistics, Business Analytics, Information Systems, Computer Science, Engineering, Supply Chain Management, Operations Management or a related discipline.
• Minimum 2 years of relevant experience in procurement, preferably in healthcare, public sector or large corporate environments.
• Proficient in Microsoft Excel and Power BI (or equivalent data visualisation tools). Experience in Python and SQL for data analysis, automation and process improvement will be highly preferred.
• Strong analytical, problem-solving and stakeholder management skills, with the ability to translate data into actionable insights.