Commercial Analytics & Operations Specialist

S&P Global; Philippines; On-site; PHP 391,000 - 781,000; Full time

Benefits offered by this job

Health & Wellness

Flexible Downtime

Continuous Learning

Invest in Your Future

Family Friendly Perks

Beyond the Basics

Job summary

S&P Global Energy seeks a data-focused analyst to transform complex data into actionable insights for the commercial function in Manila. You will monitor sales performance and report key metrics across teams.

The role supports month-end processes, data integrity, and cross-functional projects in a fast-paced environment. The ideal candidate has 1–3 years of data processing or analysis experience, strong Excel, and familiarity with Python/SQL.

Qualifications

• 1–3 years’ experience in data processing or analysis.
• Strong Excel skills with pivot tables and macros.
• Familiar with Python, SQL or VBA.
• Experience in sales support or business analysis.
• Strong attention to detail and ability to multitask.

Responsibilities

• Monitor and report on sales performance and key metrics.
• Support financial processes including month-end close and commissions with a global Commercial team.
• Ensure data accuracy and integrity across systems.
• Generate and analyze reports for sales, management, and finance.
• Assist with process improvements, system updates, and data governance.
• Support sales initiatives and cross-functional collaboration.

Skills

Python

SQL

VBA

Excel

Analytical skills

Project management

Education

Bachelor’s degree in computer science or business

Tools

Salesforce

Oracle

Einstein

Power BI

Tableau

Job description

S&P Global Energy seeks a data-focused analyst to transform complex data into actionable insights for the commercial function in Manila. You will monitor sales performance and report key metrics across teams.

The role supports month-end processes, data integrity, and cross-functional projects in a fast-paced environment. The ideal candidate has 1–3 years of data processing or analysis experience, strong Excel, and familiarity with Python/SQL.