ROLE SUMMARY

At Pfizer, technology impacts everything we do. Our digital and ‘data first’ strategy focuses on implementing impactful and innovative technology solutions across all functions from research to manufacturing. Whether you are digitizing drug discovery and development, identifying solutions, or making our work easier and faster, you will be making a difference to countless lives.

Pfizer's Global Business Services (GBS) Transformation and Project Management (T&PM) Office is responsible for driving enterprise-wide transformation that delivers measurable business value through strategic project execution, operational excellence, and data-driven decision-making. This Analyst role within the Metrics & Measurement team focuses on delivering impactful automations and analytical solutions that support strategic decision-making and business process efficiency.

The ideal candidate will have hands-on experience developing and deploying automated flows using Dataiku and Alteryx, along with strong skills in data visualization and reporting. This role requires close collaboration with cross-functional teams and the Digital organization to ensure timely, high-quality delivery of automation and analytical tools that support GBS transformation goals.

ROLE RESPONSIBILITIES

• Responsible for design and deployment of solutions using Dataiku, Alteryx, Power BI, Tableau.
• Deliver automations and analytical solutions that support strategic decision-making and improve cross-functional alignment.
• Collaborate with key stakeholders and Pfizer Digital to ensure timely and high-quality delivery of automation and analytical tools.
• Develop and maintain dashboards, ensuring data accuracy, periodic refreshes, and actionable insights.
• Monitor and report on project progress against key performance indicators, including financials, timelines, risks, and scope variances.
• Support the integration of Pfizer’s technology platforms (e.g., Snowflake) into analytics and automation workflows.
• Contribute to the continuous improvement of GBS processes through data-driven insights and automation.

BASIC QUALIFICATIONS

•  High school diploma
• 1-3 Years of experience in Data Engineering including statistical data analysis and developing solutions for reporting & analytical needs.
• Hands-on experience with data analytics tools such as Dataiku, Alteryx, Power BI, Tableau.
• Proficiency in database technologies including PL/SQL, Oracle, and SQL Server.
• Working knowledge of Python for data analysis, including identifying trends and relationships in complex datasets.
• Practical experience solving real-world analytical challenges using machine learning, statistical modeling, or other quantitative techniques.
• Ability to mine and interpret large datasets to uncover actionable insights.
• Strong written and verbal communication skills, with a professional and courteous approach in all interactions.
• Excellent organizational and problem-solving abilities, capable of managing multiple priorities and delivering high-quality results under tight deadlines.
• Sharp analytical thinking with the ability to understand and interpret data effectively.
• Strong knowledge of Microsoft Office applications, Word, Excel, PowerPoint, Access to create and manage spreadsheets, tables, and presentations.

Preferred Qualifications

• Bachelor’s degree in Business Management, Information Systems, Computer Science, Engineering, Accounting, Finance or related field.
• Demonstrated proficiency in User Experience (UX) design, with a focus on intuitive and user-centered solutions.
• Familiarity with the pharmaceutical and healthcare industry, including regulatory and operational nuances.
• Expertise in developing solutions using Microsoft Power Platform, including Power Apps and Power Automate.

  
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.

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