HR Analytics Associate

Century Pacific Food, Inc.; Eastern Manila District; Presencial; PHP 335 000 - 614 000; Tempo integral

Resumo da oferta

Century Pacific Food, Inc. is seeking an HR Analytics Associate to support data analysis, dashboards, and trackers for the Corporate Human Resources team. You will provide accurate, timely data to inform HR business partnering and organizational development for the Commercial Group.

The role involves cleaning and consolidating data from multiple sources, building dashboards, and preparing weekly/monthly reports. A background in HR data, BI tools, and strong communication is essential.

Qualificações

• Bachelor’s Degree in HR Development, Psychology, or Industrial Engineering.
• At least 1 year of relevant work experience in HR support, data analysis, reporting, or business intelligence.
• Proficient in Microsoft Excel and Microsoft Office; able to use Canva for reports. Experience with Power Query/Power BI is a plus.
• Experience handling large datasets and recurring reports or trackers; data cleaning and validation.
• Detail-oriented, accountable, and able to explain data clearly to non-technical audiences.

Responsabilidades

• Clean, validate, and consolidate data from multiple sources; own accuracy of commercial sales data used in HR reporting.
• Maintain databases, trackers, and reports on schedule; flag and resolve data discrepancies with data owners.
• Build and maintain dashboards tracking commercial and HR metrics.
• Prepare weekly and monthly reports; highlight trends and variances needing management attention.
• Support HR Business Partner with data for reviews and HR metrics monitoring (headcount, attrition, etc.).
• Support OD initiatives by consolidating/reporting data on training, development, engagement, and manpower programs.
• Document data processes and metric definitions; maintain version control of shared files.
• Act as point of contact for routine data and reporting requests from HR and Commercial Sales.

Conhecimentos

Data analysis

Dashboards

Reporting

Communication

Data cleaning

Formação académica

Bachelor’s Degree in HR Development, Psychology, or Industrial Engineering

Ferramentas

Excel

Power BI

Power Query

Canva

Descrição da oferta de emprego

Job Summary:

The HR Analytics Associate under Corporate Human Resources is responsible for data analysis, dashboards, and trackers that support HR Business Partnering and Organizational Development for the Commercial Group, ensuring accurate, timely data that informs business decisions.

Job Responsibilities:

• Clean, validate, and consolidate data from multiple sources, and own the accuracy of commercial sales data used in HR reporting.
• Maintain assigned databases, trackers, and reports on schedule; flag and resolve data discrepancies with data owners.
• Build and maintain dashboards tracking commercial and HR metrics.
• Prepare weekly and monthly reports, and raise trends and variances needing management attention.
• Support the HR Business Partner with data for business reviews, HR metrics monitoring (e.g., headcount, manpower, attrition), and action-item tracking.
• Support OD initiatives by consolidating and reporting data on training, capability development, engagement, and manpower programs.
• Document data processes and metric definitions, and maintain version control of shared files and templates.
• Act as point of contact for routine data and reporting requests from HR and Commercial Sales.

Qualifications:

• Bachelor’s Degree in Human Resources Development, Psychology, Industrial Engineering.
• At least 1 year of relevant work experience in HR support, data analysis, reporting, or business intelligence. Exposure to HR Business Partnering and Organizational Development is preferred.
• Proficient in Microsoft Excel (formulas, lookups, pivot tables) and Microsoft Office; able to use Canva for reports. Experience in using Power Query, Power BI, or similar tools, and a commercial or sales operations background are an advantage.
• Experience handling large datasets and recurring reports or trackers; competent in data cleaning and validation.
• Detail-oriented, accountable, and able to explain data clearly to non-technical audiences.