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Date:  Jun 25, 2025

Officer-People Analytics

Location: 

ID

Level:  Staff
Employment Status:  Permanent
Department:  Group HR Operations & People Analytics
Description: 

Join IOH as a People Analytics Officer and be at the forefront of transforming HR data into actionable strategic insights. In this crucial role, you will leverage data to drive decision-making processes across HR and business functions. Your expertise in analytics not only supports the HR team but also contributes to the overall success of the organization by enabling data-informed strategies that enhance workforce effectiveness and engagement.

 

Key Responsibilities

1. Reporting & Dashboarding

  • Design, develop, and maintain interactive HR dashboards using leading analytics tools like Power BI, Tableau, or Looker Studio, ensuring that stakeholders have access to meaningful and real-time data insights.

  • Deliver both recurring and ad-hoc reports to HR Business Partners (HRBPs) and senior leadership, facilitating informed decision-making across different levels.

  • Ensure data accuracy and integrity through comprehensive validation and quality assurance processes, maintaining the highest standards of data management.

2. Advanced Analytics & Predictive Modeling

  • Build and implement predictive models to forecast critical HR metrics and trends, such as attrition risk and absenteeism, thus providing essential insights for proactive HR interventions.

  • Develop prescriptive analytics that offer data-driven recommendations for HR initiatives, helping the organization respond strategically to workforce changes.

  • Conduct exploratory data analysis (EDA), statistical analysis, and apply machine learning techniques as needed, promoting innovative approaches in HR analytics.

3. Data Management & Automation

  • Create automated data pipelines for efficient data extraction and transformation from HR Information Systems (HRIS) and other relevant databases, streamlining workflows and increasing productivity.

  • Maintain well-documented analytics workflows to ensure scalability and continuity, enabling seamless transitions and knowledge sharing within the team.

4. Stakeholder Collaboration

  • Collaborate with HRBPs, HR teams, and business leaders to understand data needs, empowering stakeholders to transform data insights into actionable strategies.

  • Present complex analytics clearly and compellingly to both technical and non-technical audiences, ensuring that insights are accessible and understood across all levels of the organization.

 

Qualifications

Education

  • Bachelor’s degree in Statistics, Mathematics, Computer Science, Information Systems, Industrial Engineering, Quantitative Psychology, or a related field is required.

Experience

  • 1–3 years of experience in data analytics, business intelligence, or data science, with a preference for experience in HR analytics.

Required Skills

  • Proficiency in SQL and familiarity with one or more business intelligence tools (e.g., Power BI, Tableau, Looker) is essential.

  • Hands-on experience with Python or R for data analysis and machine learning will be considered a major asset.

  • A solid understanding of predictive algorithms, including logistic regression, decision trees, and random forests, is necessary for success in this role.

  • Strong skills in data visualization, insight generation, and data storytelling are critical, helping to bridge the gap between data analysis and business strategy.

  • Familiarity with HR data structures and key HR metrics (e.g., headcount, turnover, absenteeism, engagement) will significantly enhance your effectiveness.

Preferred Qualifications

  • Experience working with HRIS platforms such as Workday, SAP, Oracle, or Talenta is a plus.

  • Certifications in data analytics from recognized institutions (e.g., Google Data Analytics, Microsoft Certified Data Analyst) will be favorably viewed.

  • Experience with data pipeline or ETL tools (e.g., Alteryx, dbt, Apache Airflow) is an advantage, promoting efficiencies in data workflows.

Success Indicators

  • Increased adoption and usage of HR dashboards among stakeholders, reflecting the value of analytics.

  • Successful implementation and utilization of predictive models that enhance strategic HR decision-making.

  • A measurable reduction in manual reporting time through automation and the development of self-service analytics capabilities.

By joining IOH, you will become a part of a dedicated team that values innovation, collaboration, and continuous improvement. We encourage individuals from diverse backgrounds to apply, as we believe that a varied workforce enhances creativity and drives better business outcomes.

Apply now »