Junior HR Data Analyst (Contract)
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Key skills for this role
About the Role
Daman Investments is looking for a Junior HR Data Analyst to support the HR team by collecting, organizing, and analyzing people data. The role involves producing reports, building dashboards, and supporting workforce planning.
Key Skills for This Role
Responsibilities
- Extract, consolidate, and maintain people data from HRIS and other source systems, ensuring data integrity, consistency, and confidentiality.
- Prepare monthly, quarterly, and ad hoc HR reports covering headcount, joiners and leavers, attrition, demographics, and other key people metrics.
- Build and maintain HR dashboards using Microsoft Excel and Power BI to provide self service visibility for HR business partners and business leaders.
- Conduct analysis on headcount movements, attrition drivers, span of control, organizational structures, and workforce composition.
- Support compensation analytics, including pay band analyses, salary benchmarking inputs, bonus distribution, and comp ratio tracking.
- Provide data support for performance management cycles, talent reviews, and succession planning analyses.
Requirements
- Bachelor's degree in Human Resources, Business Administration, Statistics, Economics, Data Analytics, or related quantitative field
- 0–2 years of relevant experience (fresh graduates encouraged to apply)
- Advanced proficiency in Microsoft Excel, including pivot tables, lookups, conditional formatting, and complex formulas
- Working knowledge of Power BI or similar data visualization tool
- Familiarity with HRIS platforms (e.g., SAP SuccessFactors, Oracle HCM, Workday, Bayzat)
- High attention to detail and structured approach to data
- Strong analytical and problem solving mindset
- High level of integrity and discretion in handling confidential information
Full Job Posting
Job Overview
- The Junior HR Data Analyst supports the Head of HR and the wider HR team by collecting, organizing, and analyzing people data across the Group's entities and businesses.
- The role focuses on producing accurate, timely, and insightful reporting on headcount, workforce composition, attrition, performance, and compensation, and contributes to the development of dashboards and analyses that inform workforce planning, organizational design, talent decisions, and executive
Key Duties & Responsibilities
- Extract, consolidate, and maintain people data from the Group's HRIS and other source systems, ensuring data integrity, consistency, and confidentiality.
- Monitor and improve the quality of HR data, identifying gaps, duplicates, and inconsistencies, and coordinating with HR business partners to resolve them.
- Maintain organized data repositories and naming conventions to support efficient retrieval and analysis.
- Support the implementation and ongoing maintenance of HR data structures, taxonomies, and master data (e.g. job codes, grades, cost centers).
- Prepare monthly, quarterly, and ad hoc HR reports covering headcount, joiners and leavers, attrition, demographics, nationalization, and other key people metrics.
- Build and maintain HR dashboards using tools such as Microsoft Excel and Power BI to provide self service visibility for HR business partners and business leaders.
- Support the production of executive and board level people reporting packs, ensuring accuracy, clarity, and consistency of figures.
- Maintain HR scorecards and KPI trackers and highlight variances and trends for management attention.
- Conduct analysis on headcount movements, attrition drivers, span of control, organizational structures, and workforce composition across the Group.
- Support compensation analytics, including pay band analyses, salary benchmarking inputs, bonus distribution, and comp ratio tracking.
- Provide data support for performance management cycles, talent reviews, and succession planning analyses.
- Compile and analyze engagement survey results and other people feedback data to identify themes and recommendations.
Position Requirements
- Bachelor's degree in Human Resources, Business Administration, Statistics, Economics, Data Analytics, or a related quantitative field from a recognized university.
- Additional certifications in HR analytics, Power BI, or data visualization are an advantage.
- Advanced proficiency in Microsoft Excel, including pivot tables, lookups, conditional formatting, and complex formulas.
- Working knowledge of Power BI or a similar data visualization tool; ability to build clear, well structured dashboards.
- Familiarity with HRIS platforms (e.g. SAP SuccessFactors, Oracle HCM, Workday, Bayzat, or similar) and comfort navigating large data exports.
- Basic understanding of core HR concepts including organization design, grading, compensation, performance management, and workforce planning.
- Exposure to SQL or scripting (e.g. Python, R) for data manipulation is an advantage but not essential.
- High attention to detail and a structured, methodical approach to working with data.
- Strong analytical and problem solving mindset, with intellectual curiosity and a willingness to dig into the 'why' behind the numbers.
- Clear written and verbal communication skills, with the ability to translate data into simple, decision ready insights.
- High level of integrity and discretion in handling confidential employee and compensation information.
- Proactive, organized, and able to manage multiple data requests and deadlines in parallel.
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