Data Analyst
Summary
A data specialist who maintains promoter sales records and stock inventory, validates incentive/commission payouts, and prepares sales reports and rankings. Day-to-day work centers on Excel/Google Sheets, online form tools, and optionally Power BI/Tableau for reporting.
Salary: ₱27,000 – ₱30,000 per month
Data Specialist
We are looking for a detail-oriented Data Specialist to manage promoter sales data, monitor stock inventory, validate incentive payouts, and prepare sales reports. The role also involves creating digital forms, tracking sales performance, and improving data collection processes.
Key Responsibilities
1. Sales Data and Inventory Management
Maintain accurate promoter sales records and stock inventory.
Monitor product sell-in, sell-through, and stock movements.
Check and correct discrepancies in sales and inventory reports.
2. Sales Monitoring and Reporting
Validate daily and weekly sales reports against system records or proof of sales.
Track promoter performance and identify top performers.
Prepare sales summaries, reports, and team rankings.
3. Digital Forms and Data Management
Create online forms and digital tools for sales data collection.
Manage leaderboards and competition tracking for sales programs.
Improve data submission processes using digital tools and AI platforms when applicable.
4. Incentive Validation and Compliance
Validate monthly and quarterly incentives, commissions, and bonus claims.
Check calculations against approved company policies and guidelines.
Review and resolve disputes related to sales performance and incentive payouts.
Qualifications and Requirements
Bachelor's degree in Business Administration, Data Analytics, Information Technology, or a related field.
At least 1–2 years of experience in data management, sales operations, promoter operations, or incentive management.
Proficient in MS Excel or Google Sheets, including formulas and Pivot Tables.
Experience with online forms such as Google Forms, Microsoft Forms, or AppSheet.
Knowledge of AI tools and data visualization platforms such as Power BI or Tableau is an advantage.
Strong analytical, numerical, and problem-solving skills.
High attention to detail and accuracy.
Good communication skills and ability to coordinate with different teams.