Hybrid Data & Analytics Project Lead

Oliver Wyman; Mexico; Hybrid; PHP 5,625,000 - 8,750,000; Full time

Job summary

Oliver Wyman’s Data & Analytics (DNA) division seeks talented quantitative professionals to drive analytics across industries, including Financial Services, Climate & Sustainability, Energy, and Retail. The role offers flexible working arrangements, leadership opportunities, and a clear path toward senior levels.

The team emphasizes collaboration, rigorous analysis, and client-facing delivery, with a global footprint and a commitment to diversity and inclusive culture.

Qualifications

• Bachelor’s or Master’s degree in a quantitative field (Math, Stats, Physics, CS, Data Science, Engineering).
• Strong analysis, documentation, and communication skills.
• Experience with advanced analytics and data manipulation software: R, Python, SAS, SQL, SPSS.

Responsibilities

• Manage projects across roles (Associate Team Leader to Director).
• Develop hypotheses; manage data collection, model creation, and analyses; surface insights.
• Coordinate with Partners and client teams to deliver high-quality outputs.
• Coach team members and maintain energy and work-life balance.
• Travel to client sites as needed, with a mix of on-site and off-site work.

Skills

Strong analysis

Documentation

Communication

Teamwork

English proficiency

Education

Bachelor’s or Master’s degree in a quantitative discipline

Tools

R

Python

SAS

SQL

SPSS

Job description

Oliver Wyman’s Data & Analytics (DNA) division seeks talented quantitative professionals to drive analytics across industries, including Financial Services, Climate & Sustainability, Energy, and Retail. The role offers flexible working arrangements, leadership opportunities, and a clear path toward senior levels.

The team emphasizes collaboration, rigorous analysis, and client-facing delivery, with a global footprint and a commitment to diversity and inclusive culture.