557 Hr Analytics jobs in Singapore

About the Role
We're looking for an
HR Analytics Assistant Manager
to support the HR Systems & Analytics Lead in building and maintaining our people analytics capabilities. You'll be a key partner to our HR teams, helping them leverage data to make informed decisions and improve our workforce strategies. This hands-on role requires a strong analytical mindset and a passion for turning data into actionable insights.
What You'll Do
HR Systems & Data Management
Map out all HR data and develop data pipelines
to integrate various HR data sources.
Ensure the
integrity and accuracy of HR data
by performing regular audits and data cleansing activities.
Help maintain and optimize the HR systems that feed our analytics function.
Assist in connecting different HR systems and data sources to ensure a unified view of the workforce.
Data Analysis & Reporting
Design and build self-service dashboards
for leadership and HR teams, helping them understand key metrics like hiring trends, turnover, and employee engagement.
Analyze workforce data
to identify trends, predict future needs, and uncover opportunities for improvement.
Develop and generate routine and ad-hoc reports
on HR performance and key metrics.
Process Improvement and Data Advocacy
Use data to
identify bottlenecks and inefficiencies
in HR processes.
Partner with HR teams to support the implementation of new, data-driven improvements.
Assist in
creating documentation and user guides
for new dashboards and analytics tools to promote data literacy across the HR function.
What You'll Need
4-6 years of experience
in a People Analytics role.
Experience with programming languages
for data analysis (e.g., Python, R, SQL).
Prior experience in building a central HR data repository
by integrating multiple data sources
Strong
analytical and problem-solving skills , with the ability to draw meaningful conclusions from complex datasets.
Excellent communication skills
and can explain complex data to non-technical audiences.
Experience with
data management and ensuring data quality .
Exposure to
AI tools
and their application in HR analytics.
Knowledge of statistical analysis and predictive modeling.
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DP World is seeking a passionate, hands‐on leader to turn strategy into action by building a trusted HR data ecosystem across APAC.
Director, HR Data & Analytics (APAC)
As Director, HR Data & Analytics (APAC), you’ll shape the region’s data foundations, ensuring clean, governed, and globally aligned insights that empower HR and business leaders to make confident, data‐driven decisions.
Reporting to the VP, Organisation Optimization & Technology (APAC), this is a high‐impact individual‐contributor role that leads through expertise and influence — setting frameworks, driving adoption, and inspiring a culture where data drives performance and people outcomes.
Key Accountabilities
Deliver under the strategic direction, focusing on HR functional data and analytics
Partner with the clusters and region HR leaders to ensure HR data frameworks align with Enterprise standards
Build the HR data governance framework, including business glossary, data dictionary and quality standards
Deliver clean, reliable data that enables leaders to make evidence‐based people decisions
Establish scalable reporting, analytics, and insights tools that empower HR and the business
Equip HR colleagues with the skills and confidence to use data effectively in their work
Foster a positive, data‐driven culture where people trust and rely on workforce insights
Balance strategic vision with hands‐on delivery, setting up from scratch while ensuring adoption
Qualifications, Experience, and Skills
Tertiary qualification (minimum Bachelor’s degree) in Human Resources, Business, or a related field
Experience in HR analytics, workforce planning and data governance
Proven track record of building analytics or governance functions from the ground up
Strong HR expertise with robust knowledge of systems and data across the hire‐to‐retire lifecycle (e.g., DarwinBox, Oracle)
Advanced, data‐driven HR insights leveraging tools such as Power BI, SQL, and Python/R
Ability to influence and enable diverse stakeholders across global and regional teams
Clear communicator who simplifies complex data into actionable insights
Business‐first mindset to connect data to HR and organizational performance
Resilient, collaborative, and solutions‐oriented; anticipates challenges and applies forward thinking and scenario planning to deliver outcomes
Note: The job title in the advertisement serves the purpose of attracting talent and advertising the position.
DP World is committed to the principles of Equal Employment Opportunity (EEO). We strongly believe that employing a diverse workforce is central to our success and we make recruiting decisions based on your experience and skills. We welcome applications from all members of society irrespective of age, gender, disability, race, religion or belief.
By submitting your resume and application information, you authorize DP World to transmit and store your information in the world‐wide recruitment database, and to circulate that information as necessary for the purpose of evaluating your qualification for this or other job vacancies.
There may be fraudulent job offers and recruitment schemes on social media and job boards or communicated by unsolicited emails. DP World will never request any payment or sensitive financial information from job applicants. To explore genuine career opportunities with DP World, please apply only through our official careers page or trusted platforms like LinkedIn, where we are a verified employer.
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Overview
About Sembcorp is a leading energy and urban solutions provider headquartered in Singapore. Led by its purpose to drive energy transition, Sembcorp delivers sustainable energy solutions and urban developments by leveraging its sector expertise and global track record.
Purpose & Scope
The HR Analyst is responsible for championing Agentive AI projects and driving data-driven personalized employee experience and high performance culture. This role involves implementing AI applications, compliance framework, reporting and providing support to HR leaders and other stakeholders.
Key Roles And Responsibilities
HR Technology and Innovation
Research emerging technology trends in Agentive AI, People Analytics and Process Automation
Collaborate with HR COE, Digital, Compliance and External Stakeholders to ensure smooth integration of AI tools and automation solutions.
AI Adoption Strategy
Design AI governance framework and adoption roadmap.
Define use cases for AI adoption within HR and downstream applications.
Assist in implementing AI-driven tools for various HR applications from recruitment to offboarding.
Conduct data validation and initial testing for AI-enabled HR Applications.
Analytics
Possess relevant experience in implementing predictive and prescriptive analytics projects.
Maintain documentation related to dashboard configurations, data tables, and communication.
Ensure buy-in from stakeholders and facilitate the transition from process-driven to data-driven culture.
Provide technical support to HR users and employees on analytics and data visualization tools functionality.
Data Compliance
Ensure compliance with data privacy regulations and company policies.
Implement data protection measures within HR ecosystems to safeguard employee information.
Perform regular risk assessments, data quality checks and audits to identify and mitigate potential data risks.
Manage both external and internal surveys.
Qualifications & Experience
Bachelor’s degree in Mathematics, Statistics, Engineering, Data Science, or a related field.
Minimum of 3-5 years of experience in Data Analytics, HR Tech or a related role.
Certificate in AI or Automation Tool is highly recommended.
Technical Skills And Knowledge
Proficiency in Excel, Power Query, and data visualization tools (e.g., Power BI, Tableau)
Understanding of AI-driven HR tools and automation platforms
Possess basic knowledge of employee lifecycle and payroll is desirable
Knowledge of data privacy regulations (e.g., PDPA, GDPR)
Traits
Analytical and detail-oriented mindset
Committed to a high standard of data stewardship
A natural problem solver who can turn problems into opportunities
An early adopter who actively seeks out and adopts new technologies, products and ideas
Join us in making a real impact!
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Senior Manager - HR Data Model and Analytics Engineer
Join the
Senior Manager - HR Data Model and Analytics Engineer
role at
Prudential plc .
Prudential’s purpose is to partner for every life and be protective for every future. We celebrate diversity and inclusion. This role is part of the Group People Analytics team and will lead the design, development, implementation, and maintenance of a comprehensive HR data architecture.
Roles & Responsibilities
Develop and maintain an extensive HR data model that supports reporting, analytics, and data‐driven decision‐making.
Design and implement a scalable and integrated HR data architecture, connecting various systems and data sources.
Lead the setup and management of an HR data lake, ensuring it is optimized for storing vast volumes of structured and unstructured HR data.
Oversee automation & ETL processes, including data extraction, transformation, and loading, to ensure data is accurately imported into the data lake and other systems.
Implement data quality frameworks and processes to maintain high standards of data integrity and accuracy.
Develop and implement a robust testing & validation framework across BI tools to ensure reliability and accuracy of data models and reporting outputs and validate data models, ETL processes, and data quality measures.
Sign off on all HR BI solutions post‐meeting validation framework requirements before production.
Define & document technical requirements and implementation details for data management projects, ensuring alignment with business objectives and IT standards.
Collaborate with IT to support data‐related technical issues and ensure alignment with the organization’s data strategy.
Stay abreast of industry trends and advancements in data management technologies and practices, recommending enhancements to data infrastructure.
Qualifications
10+ years of experience in HR data management, data architecture, and database systems, especially within Azure’s ecosystem.
In‐depth knowledge of automation, ETL tools and methodologies for extracting data from source systems, transforming it into a usable format, and loading it into the data warehouse.
Advanced proficiency in SQL for writing complex queries & a scripting language (Python, Java, etc).
Experience in effectively communicating complex technical concepts to both technical and non‐technical audiences.
In‐depth understanding of various testing methodologies across the BI development lifecycle.
Experience in documenting technical requirements and implementation details.
Strong collaboration skills to work effectively with IT and other stakeholders.
A commitment to continuous learning and staying informed on industry trends and data management best practices.
Excellent problem‐solving abilities and analytical thinking to address technical challenges during the data warehouse build process.
Ability to lead projects and drive them to completion.
Experience with data governance and compliance standards.
Prudential is an equal opportunity employer.
We provide equality of opportunity for all who apply and perform work for our organization, irrespective of protected characteristics. We encourage the same standards from our recruitment and suppliers and allow reasonable adjustments to support people with individual physical or mental health requirements.
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Senior Manager - HR Data Model and Analytics Engineer page is loaded# Senior Manager - HR Data Model and Analytics Engineerlocations:
Singapore (Group Head Office)time type:
Full timeposted on:
Posted Todayjob requisition id:
Prudential’s purpose is to be partners for every life and protectors for every future. Our purpose encourages everything we do by creating a culture in which diversity is celebrated and inclusion assured, for our people, customers, and partners. We provide a platform for our people to do their best work and make an impact to the business, and we support our people’s career ambitions. We pledge to make Prudential a place where you can Connect, Grow, and Succeed.This role is part of the Group People Analytics team and will be leading the design, development, implementation, and maintenance of a comprehensive HR data architecture. This role requires a strategic partnership with IT to establish a state-of-the-art data lake, manage ETL processes, implement a testing & validation framework across BI tools and ensure the data infrastructure robustly supports the organization's analytics and reporting needs.
The Senior Manager, HR Data Model and Analytics Engineer will work on establishing the rules associated with HR Data Model and Analytics engineering. The role will be partnering with stakeholders in Technology team, HR COEs and other People Analytics team member on the requirements, design of the solution.**Senior Manager - HR Data Model and Data Engineer***Location: Singapore**This role involves leading the design, development, implementation, and maintenance of a comprehensive HR data architecture. This role requires a strategic partnership with IT to establish a state-of-the-art data lake, manage ETL processes, implement a testing & validation framework across BI tools and ensure the data infrastructure robustly supports the organization's analytics and reporting needs.**Roles & Responsibilities:*** Develop and maintain an extensive **HR data model** that supports the organization's requirements for reporting, analytics, and data-driven decision-making.* Design and implement a scalable and integrated **HR** **data architecture**, connecting various systems and data sources.* Lead the setup and management of a **HR data lake**, ensuring it is effectively optimized for storing vast volumes of structured and unstructured HR data.* Oversee **automation &** **ETL processes**, including data extraction, transformation, and loading, to ensure data is accurately imported into the data lake and other systems.* Implement **data quality frameworks** and processes to maintain high standards of data integrity and accuracy.* Develop and implement a robust **testing & validation framework** across BI tools to ensure the reliability and accuracy of data models and reporting outputs as well as to validate data models, ETL processes, and data quality measures.* **Signing off** on all HR BI solutions post meeting validation framework requirements before it moves to production.* Define & document **technical requirements** and **implementation details** for data management projects, ensuring alignment with business objectives and IT standards.* **Collaborate with IT** to support data-related technical issues and ensure alignment with the organization's data strategy.* **Stay abreast of industry trends** and advancements in data management technologies and practices, recommending enhancements to the organization's data infrastructure.**Qualifications:*** 10+ years of experience in HR data management, data architecture, and database systems, especially within Azure’s ecosystem with a strong understanding of data modelling concepts, techniques (dimensional, relational), and best practices.* In-depth knowledge of automation, ETL tools and methodologies for extracting data from source systems, transforming it into a usable format, and loading it into the data warehouse.* Advanced proficiency in SQL for writing complex queries & a scripting language (Python, Java, etc)* Experience in effectively communicating complex technical concepts to both technical and non-technical audience.* In-depth understanding of various testing methodologies (functional, non-functional, automation) across the BI development lifecycle.* Experience in documenting technical requirements and implementation details* Strong collaboration skills to work effectively with IT and other stakeholders.* A commitment to continuous learning and staying informed on industry trends and data management best practices.* Excellent problem-solving abilities and analytical thinking to address technical challenges that may arise during the data warehouse build process.* Ability to lead projects and drive them to completion.* Experience with data governance and compliance standards. **Prudential is an equal opportunity employer.** We provide equality of opportunity of benefits for all who apply and who perform work for our organisation irrespective of sex, race, age, ethnic origin, educational, social and cultural background, marital status, pregnancy and maternity, religion or belief, disability or part-time / fixed-term work, or any other status protected by applicable law. We encourage the same standards from our recruitment and third-party suppliers taking into account the context of grade, job and location. We also allow for reasonable adjustments to support people with individual physical or mental health requirements.Prudential plc provides life and health insurance and asset management to 18 million customers across 24 markets in Asia and Africa.We are headquartered in London and Hong Kong and are focused on four strategic regions: Greater China, ASEAN, India and Africa. We are served by around 68,000 average monthly active agents and more than 200 bank partners.Prudential plc is not affiliated in any manner with Prudential Financial, Inc., a company whose principal place of business is in the United States of America or with the Prudential Assurance Company, a subsidiary of M&G plc, a company incorporated in the United Kingdom.Find out more atFollow us on LinkedIn
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This role involves leading the design, development, implementation, and maintenance of a comprehensive HR data architecture. This role requires a strategic partnership with IT to establish a state-of-the-art data lake, manage ETL processes, implement a testing & validation framework across BI tools and ensure the data infrastructure robustly supports the organization's analytics and reporting needs.
Roles & Responsibilities:
Develop and maintain an extensive
HR data model
that supports the organization's requirements for reporting, analytics, and data-driven decision-making.
Design and implement a scalable and integrated
HR
data architecture , connecting various systems and data sources.
Lead the setup and management of a
HR data lake , ensuring it is effectively optimized for storing vast volumes of structured and unstructured HR data.
Oversee
automation &
ETL processes , including data extraction, transformation, and loading, to ensure data is accurately imported into the data lake and other systems.
Implement
data quality frameworks
and processes to maintain high standards of data integrity and accuracy.
Develop and implement a robust
testing & validation framework
across BI tools to ensure the reliability and accuracy of data models and reporting outputs as well as to validate data models, ETL processes, and data quality measures.
Signing off
on all HR BI solutions post meeting validation framework requirements before it moves to production.
Define & document
technical requirements
and
implementation details
for data management projects, ensuring alignment with business objectives and IT standards.
Collaborate with IT
to support data-related technical issues and ensure alignment with the organization's data strategy.
Stay abreast of industry trends
and advancements in data management technologies and practices, recommending enhancements to the organization's data infrastructure.
Qualifications:
10+ years of experience in HR data management, data architecture, and database systems, especially within Azure’s ecosystem with a strong understanding of data modelling concepts, techniques (dimensional, relational), and best practices.
In-depth knowledge of automation, ETL tools and methodologies for extracting data from source systems, transforming it into a usable format, and loading it into the data warehouse.
Advanced proficiency in SQL for writing complex queries & a scripting language (Python, Java, etc)
Experience in effectively communicating complex technical concepts to both technical and non-technical audience.
In-depth understanding of various testing methodologies (functional, non-functional, automation) across the BI development lifecycle.
Experience in documenting technical requirements and implementation details
Strong collaboration skills to work effectively with IT and other stakeholders.
A commitment to continuous learning and staying informed on industry trends and data management best practices.
Excellent problem-solving abilities and analytical thinking to address technical challenges that may arise during the data warehouse build process.
Ability to lead projects and drive them to completion.
Experience with data governance and compliance standards.
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This role involves leading the design, development, implementation, and maintenance of a comprehensive HR data architecture. This role requires a strategic partnership with IT to establish a state-of-the-art data lake, manage ETL processes, implement a testing & validation framework across BI tools and ensure the data infrastructure robustly supports the organization's analytics and reporting needs.

Roles & Responsibilities:

• Develop and maintain an extensive HR data model that supports the organization's requirements for reporting, analytics, and data-driven decision-making.
• Design and implement a scalable and integrated HR data architecture , connecting various systems and data sources.
• Lead the setup and management of a HR data lake , ensuring it is effectively optimized for storing vast volumes of structured and unstructured HR data.
• Oversee automation & ETL processes , including data extraction, transformation, and loading, to ensure data is accurately imported into the data lake and other systems.
• Implement data quality frameworks and processes to maintain high standards of data integrity and accuracy.
• Develop and implement a robust testing & validation framework across BI tools to ensure the reliability and accuracy of data models and reporting outputs as well as to validate data models, ETL processes, and data quality measures.
• Signing off on all HR BI solutions post meeting validation framework requirements before it moves to production.
• Define & document technical requirements and implementation details for data management projects, ensuring alignment with business objectives and IT standards.
• Collaborate with IT to support data-related technical issues and ensure alignment with the organization's data strategy.
• Stay abreast of industry trends and advancements in data management technologies and practices, recommending enhancements to the organization's data infrastructure.

Qualifications:

• 10+ years of experience in HR data management, data architecture, and database systems, especially within Azure’s ecosystem with a strong understanding of data modelling concepts, techniques (dimensional, relational), and best practices.
• In-depth knowledge of automation, ETL tools and methodologies for extracting data from source systems, transforming it into a usable format, and loading it into the data warehouse.
• Advanced proficiency in SQL for writing complex queries & a scripting language (Python, Java, etc)
• Experience in effectively communicating complex technical concepts to both technical and non-technical audience.
• In-depth understanding of various testing methodologies (functional, non-functional, automation) across the BI development lifecycle.
• Experience in documenting technical requirements and implementation details
• Strong collaboration skills to work effectively with IT and other stakeholders.
• A commitment to continuous learning and staying informed on industry trends and data management best practices.
• Excellent problem-solving abilities and analytical thinking to address technical challenges that may arise during the data warehouse build process.
• Ability to lead projects and drive them to completion.
• Experience with data governance and compliance standards.

You will be part of the team that drives the use of data & technology across all verticals of the Human Resources function. This role plays an important part in the team implementing new data capabilities as well as their continual development and upkeep to meet the evolving needs of the various HR functions.

Journey towards Digital & Data Driven HR

• Participate in projects to optimize the end-to-end service delivery of processes around people management for better efficiency, productivity and employee experience
• Exercise custodianship of Human Resource technology across all segments of the Human Resource value chain, in harmonizing these capabilities across the Group towards a unified approach

Main Activities

• Provide hands-on support in maintaining and managing HR systems and data. Be cognizant of internal data governance principles and apply them. Key activities include handling user access and queries, creating and maintaining reports and dashboards, workflow automations and system configurations. Handle routine issues independently, consulting the Senior Analyst when needed. For more complex matters, work collaboratively with IT to resolve them.
• Participating and providing support in the analysis and holistic review of HR processes and related technology solutions. Activities may include projects in the procurement, implementation, enhancement and support of HR technology solutions, such as automation workflows.
• Understand and solve identified business problems by supporting analysis of HR and related financial data. Key activities include designing analytical solutions by carrying out data exploration and feature engineering in curating datasets for subsequent models and visualizations as part of data storytelling.
• Provide support in the development, validation, deployment and maintenance of these models and visualizations where required.
• Proactively participate in the team's efforts to drive activities that are necessary for the success of internal-customers in the adoption and use of HR technology and analytics. Activities may occasionally include providing training or support the creation of user documentations.

• Proactively participate in various levels of management and operational reporting. Activities include various monthly, quarterly or annual internal or external reporting.

• Tertiary education in a relevant discipline

• 2-3 years of relevant working experience
• Working-level experience in MS Power Automate and MS Power Apps
• Experience with various analytical tools and programming languages (eg: SQL, M, R, Python)
• Prior experience with Oracle Fusion HCM is an advantage
• Good communication and interpersonal skills
• Genuine interest and desire to help stakeholders innovate and maximize the use of their data