The Global Commercial Analytics (GCA) team within the organization is dedicated to transforming data into actionable intelligence, enabling the business to remain competitive and innovative in a data-driven world. As a Manager, Analytics Developer, you play a key role in analyzing large, diverse datasets to uncover trends and opportunities that shape commercial strategy. You work closely with experts from different areas, using advanced analytics and visualization tools to bring clarity to complex problems.
In this role, you lead high-impact initiatives such as deep-dive business diagnostics and the development of scalable analytics tools. Your work delivers actionable insights that help solve challenging business questions and drive strategic outcomes. The environment is fast-paced and collaborative, and the topics you cover are central to the success of the pharmaceutical business.
ROLES & RESPONSIBILITIES
- Project Leadership: Leads end-to-end delivery of analytics projects, including defining the problem statement, designing the analytical approach, collaborating with business stakeholders for data requirements, developing insight-driven narratives, and effectively communicating results across all levels of the organization.
- Collaboration: Works closely with cross-functional teams and business stakeholders to develop roadmaps and shape solutions using standard technology stacks.
- Business Impact: Translates complex data and analyses into clear, actionable recommendations that inform brand tactics and guide commercial strategy decisions.
- Building Analytics Pipelines: Designs and oversees the development of analytics pipelines, products, and insights for the Commercial Pharma domain.
- Advanced Data Visualization: Utilizes advanced data visualization techniques to uncover patterns, trends, and actionable insights from data.
- Innovation: Stays abreast of analytical trends and cutting-edge applications of data science and AI, championing the adoption of new techniques and tools.
- Quality & Governance: Ensures best practices in data management, maintaining high standards of quality and compliance.
QUALIFICATION & EXPERIENCE
- Educational Background: Holds a bachelor’s or master’s degree in a quantitative field.
- Professional Experience: Brings 5–9 years of hands-on experience in data analytics, business analysis, or strategy—ideally within commercial pharma, healthcare, or similar industries. Ability to break down complex business problems into structured analytical approaches. Strong critical thinking to interpret data beyond surface-level trends.
- Business Acumen: Understanding of commercial pharma dynamics, market access, and brand strategy. Ability to connect data insights to real-world business decisions.
- Technical Skills: Strong analytical and technical skills with proficiency in Python, R, SQL, and advanced Excel (pivot tables, dashboards, scenario modeling, and automation).
- Data Handling Expertise: Comfortable working with relational databases through SQL and experienced with data manipulation libraries like Pandas and NumPy.
- Has worked with cloud data warehouses such as Snowflake to manage and analyze complex datasets efficiently.
PROFESSIONAL CHARACTERISTICS
- Adaptability and Flexibility: Demonstrates the ability to adjust and thrive in changing environments, embracing new tasks and applying knowledge in diverse contexts.
- Strong Communication: Exhibits effective communication skills for workplace interactions, including conveying ideas clearly and listening actively.
- Positivity: Maintains a positive attitude, showing a willingness to work hard and learn, contributing to a harmonious work environment.
- Self-Starter: Takes an active role in professional development; stays abreast of analytical trends and cutting-edge applications of data.
Work Location Assignment: Hybrid
Pfizer is an equal opportunity employer and complies with all applicable equal employment opportunity legislation in each jurisdiction in which it operates.
Information & Business Tech