Sr Analyst, Data Strategy & Management – GCA Mexico Analytics Center
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.
ROLE SUMMARY
Pfizer Global Commercial Analytics (GCA) harnesses the power of data to drive robust analytical insights that inform some of Pfizer’s most critical business decisions. Our dynamic team of subject-matter experts comes from diverse backgrounds, including data science, engineering, market research, and consulting, and collaborates to turn data into meaningful insights that have a direct impact on patients’ lives and the future of Pfizer as a data-driven organization.
GCA is expanding its footprint in Mexico through the establishment of a dedicated analytics capability center to meet growing business demand and accelerate the development of innovative analytics solutions for the US Commercial Division.
The Sr Analyst, Data Strategy & Management role is a key contributor within the Data Strategy & Management (DSM) team, responsible for executing and operationalizing enterprise data strategy, governance, and foundational data solutions that enable high‑quality analytics and business insights.
This role partners closely with senior team members, analytics, data science, and business stakeholders to design, build, and maintain scalable, reliable data assets that support commercial and enterprise decision‑making. The Sr Assoc operates as a hands-on data leader, translating defined strategies and business requirements into well‑engineered, compliant, and reusable data products.
This position is ideal for an experienced data professional who thrives in execution, collaboration, and technical problem‑solving, while continuing to grow strategic influence.
ROLE RESPONSIBILITIES
Reporting to the Lead, Pipeline & Analytics Excellence – GCA Mexico Analytics Center, the Sr Analyst will focus on execution, delivery, and technical leadership across DSM initiatives.
Data Strategy Execution & Enablement
Execute components of the enterprise data strategy by delivering data pipelines, assets, frameworks, and solutions aligned to support business priorities of the Data Science, IIS, and Performance Analytics and Insights (PAI) team.
Partner with senior DSM leaders to operationalize governance standards, data quality rules, and best practices.
Support adoption of data strategy through documentation, enablement, and collaboration with Performance Analytics and Insights (PAI) and business teams.
Contribute to continuous improvement of data management processes and standards.
Technical & Delivery Responsibilities
Translate business and analytics requirements into scalable data designs, pipelines, and data structures.
Build, enhance, and maintain reliable data pipelines and curated data layers for analytics and reporting.
Ensure data solutions meet privacy, security, and regulatory requirements.
Collaborate with Data Science and Analytics partners to enable advanced analytics and modeling use cases.
Support automation, validation, and monitoring to improve data reliability and operational efficiency.
Collaboration & Stakeholder Partnership
Work closely with analytics, marketing, digital, and technology teams to deliver high‑quality data products.
Communicate technical concepts clearly to non‑technical partners.
Serve as a dependable delivery partner, proactively identifying risks and proposing solutions.
Contribute to team knowledge sharing and mentor junior team members on standards and best practices.
QUALIFICATIONS
Basic Qualifications
Bachelor’s degree with 3+ years of relevant experience OR Master’s degree with 1+ year
in data engineering, data strategy, analytics engineering, or related fields.
Strong hands‑on experience with SQL, Python, and modern data platforms.
Solid understanding of data pipelines, data modeling, and distributed data architectures.
Experience translating business requirements into technical data solutions.
Working knowledge of data governance, data quality, and compliance concepts.
Strong communication and collaboration skills.
Preferred Qualifications
Experience in commercial, marketing, or regulated environments (e.g., life sciences).
Familiarity with API integrations, data validation frameworks, and analytics‑ready data models.
Experience working in agile delivery environments.
Exposure to cloud‑based data platforms and orchestration tools.
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 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
Top locations among the 221 comparable roles
+ 15 more countries
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
Similar opportunities
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How we calculate "similar"
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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.
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.