Data-Driven Commercial Operations Specialist

S&P Global Philippines, Inc.; Manila; On-site; PHP 420,000 - 660,000; Full time

Benefits offered by this job

Health care

Flexible time off

Continuous learning

Retirement planning

Education assistance

Family perks

Job summary

S&P Global Philippines, Inc. is seeking a Data Analyst to monitor sales performance, generate reports, and support financial processes across a global Commercial team. You will ensure data integrity, coordinate with multiple systems, and drive business insights.

The role requires 1–3 years of data processing/analysis, strong Excel, and familiarity with Python/SQL. Experience in sales support or business analysis is preferred, along with English communication skills.

Qualifications

• 1-3 yrs of data processing or analysis experience with Python/SQL/VBA.
• Strong Excel skills including pivot tables and macros/IF statements.
• Experience in sales support, systems, or business analysis roles.
• Strong analytical skills with high attention to detail.
• Ability to manage multiple projects in a fast-paced environment with tight deadlines.

Responsibilities

• Monitor and report on sales performance and key metrics regularly.
• Support month-end close and commissions with the global Commercial team via case management system.
• Manage data accuracy and integrity across systems, including territory and account alignment.
• Generate and analyze reports for sales, management, and finance teams.
• Assist with process improvements, system updates, and data governance.
• Support sales initiatives and cross-functional collaboration.

Skills

Python

SQL

VBA

Excel

Education

Bachelor’s degree in CS or related

Tools

Salesforce

Oracle

Einstein

Power BI

Tableau

Job description

S&P Global Philippines, Inc. is seeking a Data Analyst to monitor sales performance, generate reports, and support financial processes across a global Commercial team. You will ensure data integrity, coordinate with multiple systems, and drive business insights.

The role requires 1–3 years of data processing/analysis, strong Excel, and familiarity with Python/SQL. Experience in sales support or business analysis is preferred, along with English communication skills.