Manager, Commercial Performance Analytics.
About this opportunity
Work Location Assignment: Mexico City, must be able to work from assigned Pfizer office 2-3 days per week, or as needed by the business.
The Manager, Performance Analytics & Insights is a hands-on individual contributor responsible for developing robust analytical solutions, evaluating commercial performance, and generating actionable insights that support business decision-making. This role combines strong technical capabilities, quantitative problem-solving, and business understanding to transform complex data into reliable analytical assets, performance reporting, and meaningful insights.
Working closely with U.S.-based Performance Analytics and Insights (PAI) colleagues, the successful candidate will design, develop, and optimize analytical workflows, support recurring reporting, and translate business questions into evidence-based insights. The role contributes to strengthening Pfizer’s internal analytics capabilities through technical ownership, automation, continuous improvement, and collaborative delivery.
The position operates within PAI, part of Global Commercial Analytics (GCA), and does not involve people management responsibilities.
Role Responsibilities
Technical Development & Analytics Solutions
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 high-quality analytical assets, including dashboards, reporting tools, and reusable code libraries.
Improve performance, reliability, and scalability of existing analytics workflows through automation and process optimization.
Leverage AI, scripting, and emerging analytical technologies to increase efficiency and analytical capabilities.
Analysis & Insight Generation
Perform advanced analyses on patient, HCP, payer, and commercial datasets to identify trends, opportunities, and risks.
Apply statistical, quantitative, and machine learning techniques to solve business problems and generate actionable insights.
Conduct data quality assessments, validation, and troubleshooting to ensure accuracy and consistency of analytical outputs.
Translate complex analytical findings into clear insights supported by quantitative evidence.
Collaboration & Partnership
Partner closely with US-based PAI colleagues as the primary point of collaboration, supporting shared analytics priorities and delivering against team-defined requirements.
Translate information needs surfaced by PAI leads into robust analytical solutions, connecting datasets to tell a clear, compelling story backed by quantitative evidence.
Work with PAI and broader analytic functions to advance the use of novel data sources and improve reporting processes, tools, and standards.
Basic Qualifications
Bachelor’s degree in engineering, analytics, statistics, mathematics, computer science, information systems, business, or a related quantitative field.
5+ years of relevant professional experience in analytics, business intelligence, data analysis, or a related technical analytical role.
Strong hands-on proficiency in SQL, Python, or R, including the ability to independently develop, troubleshoot, and optimize analytical code for data extraction, transformation, integration, and analysis.
Advanced professional English proficiency, both written and verbal, with the ability to independently collaborate with U.S.-based stakeholders, discuss technical concepts, and communicate analytical findings clearly.
Demonstrated experience integrating and transforming data from multiple sources to develop accurate, reliable analytical datasets.
Ability to understand, modify, and improve existing analytical code, calculations, and reporting workflows.
Ability to translate business requirements into structured analytical approaches and independently deliver high-quality analytical solutions.
Preferred Qualifications
Experience in pharmaceutical, healthcare, or commercial analytics.
Understanding of commercial performance metrics, including sales, market access, patient journey, or field force KPIs.
Experience supporting U.S. or global commercial organizations, preferably within international or nearshore analytics teams.
Experience developing, optimizing, or troubleshooting data pipelines, ETL processes, or automated analytical workflows.
Demonstrated contributions to improved analytical efficiency, cost reduction, reporting automation, or faster business decision-making.
EEO (Equal Employment Opportunity) & Employment Eligibility
Pfizer is committed to equal opportunity in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, or disability.
To learn more about acceptable and prohibited uses of AI during the recruitment process, please review our candidate AI-use guidelines available on Pfizer Careers .
Marketing and Market Research
Job details
How this role compares
Computed from every other active Marketing role in our database, not just this employer's listings.
We currently track 670 comparable Manager Marketing roles across 115 biopharma companies.
Salary context
127 of 670 peers report a salary range (USD, annualized)
Peers share this role's job function and a matching or adjacent seniority level -- not necessarily the same therapeutic area or country.
Where these roles are based
Top locations among the 670 comparable roles
+ 51 more countries
Seniority mix
670 of 670 peers have a known seniority level
Therapeutic area mix
134 of 670 peers have a known therapeutic area; the rest are genuinely unlabeled, not hidden
Similar opportunities
The closest matches from our peer group, ranked by how similar they are, not how well you'd qualify for them -- treat this as market context, not a guaranteed shortlist; a weak match is labeled as one below.
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How we calculate "similar"
No black box, no LLM guesswork: a deterministic score built from four normalized attributes. Here's this role's own peer group at different match levels, so you can see the mechanism, not just the result.
Every comparison starts from the same 100-point budget: 25 for working in the same function, 40 for the same therapeutic area, 20 for the same or adjacent seniority, 15 for the same country. A dimension we can't confirm on both sides contributes nothing, never a guess, never a free pass.
0 points, never a partial guess. A role we know almost nothing about beyond its function bottoms out at 25%; it never inflates to 100% just because there's little to compare against. Seniority uses a defined ladder (Associate → Manager → Associate Director → Senior → Principal → Director → Senior Director → Executive/VP) so "Director" and "Senior Director" count as adjacent, but "Director" and "Executive/VP" do not.