Analytics Architect, Commercial Performance & Insights

Pfizer; Ciudad de México; Hybrid; MXN 700,000 - 1,000,000; Full time

Job summary

Pfizer Mexico City is seeking a hands-on Manager, Performance Analytics & Insights to design, develop, and optimize analytical workflows that drive commercial decisions. You will partner with US-based PAI colleagues to deliver robust datasets, dashboards, and reports.

This role emphasizes automation, advanced analytics, and translating complex findings into actionable insights, with no people management responsibilities. Strong collaboration and data quality focus are essential.

Qualifications

• Bachelor’s degree in a quantitative field.
• 5+ years of analytics, BI, or data analysis experience.
• Strong SQL, Python, or R skills for data extraction and analysis.
• Advanced professional English, written and spoken.
• Experience integrating data from multiple sources to create datasets.
• Ability to translate business requirements into analytical solutions.

Responsibilities

• Design, develop, and maintain scalable analytics solutions using SQL, Python, R, and related technologies.
• Build, optimize, and automate datasets, data pipelines, and reporting frameworks to support commercial performance measurement.
• Engineer and integrate data from multiple internal and external sources to create robust analytical datasets.
• Develop and maintain dashboards, reporting tools, and reusable code libraries.
• Improve performance, reliability, and scalability of analytics workflows through automation.
• Leverage AI, scripting, and emerging analytics technologies to increase efficiency.

Skills

SQL

Python

R

Advanced English proficiency

Education

Bachelor’s degree in engineering, analytics, statistics, mathematics, computer science, information systems, business

Job description

Pfizer Mexico City is seeking a hands-on Manager, Performance Analytics & Insights to design, develop, and optimize analytical workflows that drive commercial decisions. You will partner with US-based PAI colleagues to deliver robust datasets, dashboards, and reports.

This role emphasizes automation, advanced analytics, and translating complex findings into actionable insights, with no people management responsibilities. Strong collaboration and data quality focus are essential.