Senior Revenue Analytics & Forecasting Analyst

Hammerjack Pty Ltd; Philippines; On-site; PHP 446,000 - 781,000; Full time

Job summary

Hammerjack Pty Ltd is seeking a Revenue Analyst to apply disciplined analytics to forecast consumer demand, optimize product availability and pricing, and drive revenue growth. You will collaborate with marketing, sales, pricing, and distribution teams to align strategies and deliver data-driven recommendations.

This role emphasizes building dashboards, forecasting trends, and providing insights to support profitability. Strong Excel, SQL, and BI tool experience are expected.

Qualifications

• Bachelor's degree in Business, Economics, Statistics, Data Analytics, or related field.
• 1–2 years of experience in revenue management, pricing analytics, or business intelligence.
• Proven ability to synthesize large datasets into actionable insights.
• B2B experience preferred.

Responsibilities

• Revenue Analysis & Forecasting: Analyze data to predict consumer behavior and optimize pricing and availability.
• Data Intelligence & Insights: Collate, analyze, and interpret data into actionable BI insights.
• Cross-Functional Collaboration: Partner with marketing, sales, pricing, and distribution teams.
• Reporting & Monitoring: Create dashboards to monitor revenue KPIs and ensure data integrity.
• Ad Hoc Projects: Support special projects requiring deep analytic insights.

Skills

Statistical analysis

Analytics tools

Excel & SQL

Education

Bachelor's degree in Business, Economics, Statistics, Data Analytics, or related field

Tools

Power BI

Tableau

SQL

Job description

Hammerjack Pty Ltd is seeking a Revenue Analyst to apply disciplined analytics to forecast consumer demand, optimize product availability and pricing, and drive revenue growth. You will collaborate with marketing, sales, pricing, and distribution teams to align strategies and deliver data-driven recommendations.

This role emphasizes building dashboards, forecasting trends, and providing insights to support profitability. Strong Excel, SQL, and BI tool experience are expected.