Junior Data Analyst
Salary: ₱22,000 – ₱23,000 per month
About the role
This role involves collecting, cleaning, validating, and maintaining HR data including employee records, timekeeping, attendance and leave information. You will prepare and validate timekeeping and payroll data, monitor attendance and leave data, and investigate discrepancies. You will create and maintain Excel reports, trackers, dashboards and management presentations, analyze HR data and translate findings into actionable insights, and present reports to managers and stakeholders. You will serve as a point person for HR data and timekeeping concerns, coordinate with HR and other departments to ensure data accuracy and process compliance, use AI tools and automation to improve reporting efficiency, and support HRIS/system enhancement, data migration, testing and related projects.
Key responsibilities
Collect, clean, validate, and maintain HR data including employee records, timekeeping, attendance and leave information
Prepare and validate timekeeping and payroll data every payroll cut-off
Monitor attendance and leave data and investigate discrepancies or unusual records
Create and maintain Excel reports, trackers, dashboards and management presentations
Analyze HR data and translate findings into clear, actionable insights
Present reports and explain data findings to managers and stakeholders
Prepare weekly and monthly HR reports and analytical presentation materials
Serve as a point person for HR data and timekeeping concerns and coordinate resolution
Coordinate with HR and other departments to ensure data accuracy and process compliance
Use AI tools and automation to improve reporting efficiency and reduce repetitive tasks
About you
Graduate of BS Information Technology, Computer Science, Information Systems, or another computer/data-related course
Fresh graduates are welcome to apply
1–3 years of experience in data analysis, reporting, HR data, payroll, timekeeping, or related work is an advantage
Strong XLOOKUP/VLOOKUP, INDEX-MATCH, IF, SUMIFS, Pivot Tables, data cleaning, and validation skills
Strong analytical, problem-solving, organizational, and detail-oriented skills
Able to explain data and present findings directly to managers and stakeholders
Knowledge of AI tools for analysis, reporting, automation, and productivity
Power BI, SQL, Google Looker Studio, HRIS, payroll/timekeeping systems, or data visualization experience is an advantage
Adaptable, professional and able to handle confidential employee information with integrity