Night-Shift Digital Shelf Analyst – Ecommerce Insights

PepsiCo Inc.; Makati; On-site; PHP 600,000 - 1,000,000; Full time

Job summary

PepsiCo Inc. in Manila is seeking a Digital Store Analyst to optimize the online shelf across US retailers, diagnose stock, pricing, content and promotions, and collaborate with cross-functional teams to drive online performance.

The role requires night-shift hours (9 PM–6 AM Manila Time) and onsite presence 12–14 days per month, with a strong emphasis on data-driven insights and actionable recommendations to grow online sales.

Qualifications

• 5+ years in insights/analytics.
• Experience using Digital Shelf Analytics tools.
• Relevant experience in the e-commerce industry.
• Willing to work night shift (9:00 PM–6:00 AM Manila Time).
• Willing to work onsite at least 12 to 14 days per month.

Responsibilities

• Diagnose Out of Stock rates and provide recommendations to optimize inventory flow.
• Track search rankings, keyword performance, and visibility; identify optimization opportunities.
• Monitor pricing changes and promo effectiveness; recommend pricing and promotions.
• Ensure product content accuracy across platforms; flag gaps and improvements.
• Publish monthly performance vs. targets and develop action plans.
• Maintain SKU data consistency and digital shelf governance across systems.
• Collaborate with KAMs, merchandising, supply chain, and content teams; drive reviews and actions.
• Help define and test success metrics (Build Picture of Success).

Skills

Analytics

Cross-functional collaboration

Digital shelf

Night shift readiness

Attention to detail

Tools

Power BI

Digital Shelf Analytics tools

Job description

PepsiCo Inc. in Manila is seeking a Digital Store Analyst to optimize the online shelf across US retailers, diagnose stock, pricing, content and promotions, and collaborate with cross-functional teams to drive online performance.

The role requires night-shift hours (9 PM–6 AM Manila Time) and onsite presence 12–14 days per month, with a strong emphasis on data-driven insights and actionable recommendations to grow online sales.