DATA ANALYST

Cheil Philippines; Philippines; On-site; PHP 600,000 - 900,000; Full time

Job summary

Cheil Philippines is seeking a detail-oriented Field Force Data Analyst to support business growth and operational excellence through data-driven insights. You will analyze store sell-out, capacity, and ISS data, evaluate HR agency performance, and generate reports to improve market share, promoter productivity, inventory management, and efficiency.

The ideal candidate has strong analytics and SQL proficiency, experience with automation tools, and the ability to collaborate with sales,

Qualifications

• Proven experience in data analytics with the ability to interpret large datasets and provide actionable business insights.

Responsibilities

• Analyze store sell-out, capacity, and ISS metrics to identify business trends, opportunities, and risks.
• Evaluate HR agency performance data and operational efficiency metrics.
• Develop and automate reports and dashboards for KPIs, promoter productivity, inventory, and expenses.
• Collaborate with sales, marketing, HR, and field teams to present findings.
• Ensure data quality through validation and structured data management.

Skills

Data analytics

SQL

Automation tools

Stakeholder collaboration

Communication skills

Education

Bachelor’s degree in Statistics, Data Science, Business Analytics, Economics, Information Technology, Computer Science, or related field

Tools

Power BI

Tableau

Looker

Python

R

MS SQL

MySQL

BigQuery

Oracle

Data Modeling

Power Query

DAX

Job description

We are looking for a detail-oriented and analytical Field Force Data Analyst to support business growth and operational excellence through data-driven insights. The role is responsible for analyzing store sell-out, capacity, and ISS data, evaluating HR agency performance, and generating reports that drive improvements in market share, promoter productivity, inventory management, and operational efficiency.

The ideal candidate possesses strong analytical and technical capabilities, with advanced expertise in data analytics, reporting, SQL, and automation tools. This role requires close collaboration with sales, marketing, HR, and field operations teams to support strategic decision-making and business performance monitoring.

Key Responsibilities

Data Analysis & Reporting

• Analyze store sell-out, capacity, and ISS metrics to identify business trends, opportunities, and risks.
• Evaluate HR agency performance data and operational efficiency metrics.
• Develop, maintain, and automate reports related to:
• Agency KPIs and expenses
• Promoter productivity and incentives
• Inventory and stock movement
• Create dashboards and visualizations for business monitoring and decision-making.

Performance Monitoring & Insights

• Track sell-out, display compliance, and inventory performance across stores and regions.
• Validate promoter incentives and productivity metrics to ensure data accuracy and fair performance assessment.
• Provide actionable insights and recommendations to improve field execution and operational efficiency.

Stakeholder Collaboration

• Partner with sales, marketing, HR, and field teams to understand business requirements and reporting needs.
• Present findings and recommendations through clear reports, dashboards, and presentations.
• Support management with strategic analysis and ad hoc reporting requests.

Data Quality & Process Improvement

• Ensure data integrity through validation, cleansing, and structured data management processes.
• Automate repetitive data collection and reporting workflows using available tools and technologies.
• Assist in improving data processes, reporting standards, and analytics frameworks.

Qualifications

Mandatory Requirements

• Proven experience in data analytics with the ability to interpret large datasets and provide actionable business insights.
• Advanced proficiency in Microsoft Excel, including:
• Power Query
• DAX
• Data Modeling
• Strong SQL expertise across platforms such as:
• MS SQL
• MySQL
• BigQuery
• Oracle
• Experience in Robotic Process Automation (RPA).

Preferred Skills

• Knowledge of database systems, data architecture, and data management processes including:
• DBMS
• ETL/ELT
• Data Warehousing
• Power BI
• Tableau
• Looker
• Programming knowledge in Python or R for automation, analytics, and data processing.
• Experience handling retail sales, sell-out, distribution, or inventory-related data.
• Familiarity with retail analytics, market share analysis, and inventory management.

Educational Background

• Bachelor’s Degree in Statistics, Data Science, Business Analytics, Economics, Information Technology, Computer Science, or any related field.
• With minimum of 5 years experience in related field.
• Strong analytical and problem-solving skills
• High attention to detail and data accuracy
• Excellent communication and presentation skills
• Ability to manage multiple reports and deadlines
• Strong collaboration and stakeholder management skills