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Global HR Data Analyst

RENESAS ELECTRONICS SINGAPORE PTE. LTD.

Singapore

On-site

SGD 60,000 - 85,000

Full time

6 days ago
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Job summary

A prominent electronics company in Singapore seeks a Global HR Business and HR Analyst to provide data-driven insights for business strategy. Your key responsibilities will include developing HR metrics, analyzing initiatives for effectiveness, and mentoring HR colleagues in data capabilities. The ideal candidate will have 3–5 years of analytics experience, proficiency in HR tools like SAP and Power BI, and strong analytical skills, with the opportunity to contribute to a data-driven HR culture.

Qualifications

  • 3–5 years of experience in a global analyst role or HR position focused on analytics.
  • Proven ability to work independently with attention to detail.
  • Experience in handling large datasets using data mining and analytics techniques.

Responsibilities

  • Develop and maintain KPIs, dashboards, and metrics for HR partners and stakeholders.
  • Analyze HR initiatives to identify gaps and measure effectiveness.
  • Foster alignment between HR business partners and business leaders on strategic goals.

Skills

Data analysis
Attention to detail
Analytical thinking
Communication
Collaboration

Tools

SAP HRIS
SQL Server
Microsoft Excel
Access
Power BI

Job description

As a Global HR Business and HR Analyst, you will play a pivotal role in enabling business strategy through data driven insights. You will be responsible for research, analysis and presentation of key HR data to build understanding and insights that will enable informed decision-making across business functions and the global HR organization. You will identify program and process improvement opportunities for HR organizations, ensuring alignment with business priorities. Your subject matter expertise will be valuable in mentoring others within the HR organization on reporting and analytics for new and existing processes and programs.

Key Responsibilities

  • Develop and maintain KPIs, dashboards, and metrics for HR Business Partners (HRBPs), Centers of Excellence (COEs), and other stakeholders.
  • Design standardized reports to evaluate the impact of HR programs on business outcomes.
  • Analyze HR initiatives to identify gaps, measure effectiveness, and anticipate future needs.
  • Monitor and optimize HR data and processes to support continuous improvement.
  • Collaborate with Finance, HRBPs, COEs, and business leaders to deliver accurate, real-time headcount and workforce reports.
  • Ensure success metrics are embedded in HR program design and supported by aligned systems and tools.
  • Translate business needs into actionable insights using data and analytics.
  • Foster alignment between HRBPs and business leaders on core priorities and strategic goals.
  • Promote global consistency in HR program execution, communication, and reporting.
  • Identify trends and provide proactive recommendations, tools, and solutions to address business challenges.
  • Enable HR teams to deliver strategic input through data-backed insights.
  • Drive effective use of HR systems, tools, and analytics platforms.
  • Benchmark against industry standards to ensure best-in-class HR analytics practices.
  • Mentor HR colleagues to enhance their data capabilities and promote a data-driven culture.

Qualifications

  • 3–5 years of experience in a global analyst role or HR position with a strong analytics focus.
  • Proven ability to work independently with strong attention to detail and analytical thinking.
  • Experience handling large datasets using advanced data mining and analytical techniques.
  • Skilled in synthesizing complex data from multiple sources to identify trends and support decision-making.
  • Solid understanding of business process development, documentation, and implementation.
  • Comfortable navigating complex organizational structures and ambiguous situations.
  • Adaptable, collaborative, and an effective communicator across all levels of the organization.
  • Proficient in tools such as SAP HRIS, SQL Server, Microsoft Excel, Access, and Power BI.
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