Sr. Associate Commercial Performance Analytics
About this opportunity
ROLE SUMMARY
Commercial Analytics harnesses the power of data to drive robust analytical insights that inform some of Pfizer’s most critical business questions. With colleagues across the globe, the Commercial Analytics team’s rigorous analytical expertise is depended on as the compass for decision support across the enterprise. Our dynamic, exciting team of subject-matter experts comes from diverse backgrounds and experiences, including data science, commercial analytics, finance, market research, and consulting. As a team, we collaborate to turn data into meaningful insights that will have a direct impact on patients’ lives and the future of Pfizer as a data-driven organization.
We are seeking a Senior Associate, Commercial Performance Analytics to serve as a hands-on individual contributor within the Mexico Analytics Center (MAC), supporting the Specialty Care and Primary Care brand-aligned teams within Performance Analytics and Insights (PAI), part of Global Commercial Analytics (GCA). This role executes and maintains analytics solutions, datasets, dashboards, and reporting assets, that power commercial performance tracking, working from priorities and specifications defined by PAI leads and following established analytics frameworks.
Working closely with US-based PAI colleagues, the successful candidate will help maintain and continuously improve the commercial analytics and reporting ecosystem, applying SQL, Python, R, and related tools to build reliable, well-documented analytical outputs. This is a collaborative, detail-oriented role suited to someone who wants to build strong technical and analytical fundamentals while working alongside more senior analytics colleagues.
ROLE RESPONSIBILITIES
Build, maintain, and execute analytics solutions using SQL, Python, R, and related tools, following established architectures and PAI-defined priorities.
Develop and maintain datasets, dashboards, and reporting assets that support commercial performance tracking, working within existing pipelines and documented specifications.
Integrate data from multiple internal and external sources into analytical datasets per defined requirements, escalating gaps or inconsistencies to senior colleagues.
Perform analyses on patient, HCP, payer, and commercial datasets using established statistical and quantitative methods to help identify trends, opportunities, and risks.
Conduct data quality assessments, validation, and troubleshooting to ensure the accuracy and consistency of analytical outputs.
Translate analytical findings into clear, evidence-based summaries for review with PAI colleagues and brand-aligned stakeholders.
Collaborate closely with US-based PAI colleagues and brand-aligned analytics leads to confirm requirements, clarify priorities, and deliver against agreed timelines.
Support the standardization of commercial analytics and reporting processes by applying established best practices, tools, and documentation standards.
Contribute to the adoption of new data sources, automation, and AI-assisted analytical tools to improve the efficiency of existing workflows.
Communicate status, risks, and completion of deliverables clearly through email, meetings, and presentation materials, operating independently on well-defined tasks once proficient.
BASIC QUALIFICATIONS
Bachelor's degree in statistics, data science, computer science, engineering, mathematics, economics, or a related quantitative field, or any other related field.
Successful candidates typically have at least 3 years of experience in commercial analytics, data analytics, or reporting, ideally within pharma, healthcare, or another regulated industry.
Working proficiency in SQL for querying and manipulating large datasets.
Working proficiency in Python and/or R for data analysis, automation, or reporting workflows.
Experience building or maintaining dashboards and reporting tools (e.g., Tableau, Power BI).
Professional written and verbal English sufficient for routine collaboration with U.S.-based teams, with the ability to ask clarifying questions, confirm requirements, and summarize outcomes accurately.
PREFERRED QUALIFICATIONS
Experience working with patient, HCP, payer, or commercial pharmaceutical datasets.
Exposure to statistical or machine learning techniques applied to business problems.
Experience automating data pipelines or recurring analytics workflows.
Familiarity with AI-assisted analytics or scripting tools.
Experience supporting U.S.-based or global commercial teams from a near-shore or offshore operating model.
Basic project management skills to help coordinate across data owners, PAI colleagues, and other stakeholders.
Work Location Assignment: Hybrid
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 .
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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 221 comparable Senior Marketing roles across 47 biopharma companies.
Salary context
103 of 221 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
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Seniority mix
221 of 221 peers have a known seniority level
Therapeutic area mix
59 of 221 peers have a known therapeutic area; the rest are genuinely unlabeled, not hidden
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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.
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