Sr. Associate Commercial Performance Analytics

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.

Marketing and Market Research