AstraZeneca Hiring Commercial Pharma Analytics Associate

AstraZeneca (AZ) has a bold aspiration to improve the lives of 200 million patients delivering 20 new medicines to patients by 2030. This role is critical in contributing to AZ’s long-term ambition. Global Business Services (GBS) is growing to support critical functions across the whole Enterprise. This role will be specifically focused on defining and delivering GBS opportunities within the R&D areas of the business.

Post : Associate – Commercial Pharma Analytics

Job Description
Customer Insight Leadership : Advocate for the application of local customer insight to inform brand strategy, prioritisation, and customer engagement models across markets.
Analytic Capability Development : Determine and rank improvements and new analytic capabilities; lead the development, deployment, and embedding of these capabilities to elevate decision quality at pace.
Advanced Methods and Technology : Continuously evaluate emerging quantitative methods, data assets, and technologies; bring in what works and retire what does not to keep the toolkit modern.
Data Storytelling and Decision Influence : Convert raw data into significant conclusions and compelling narratives; present recommendations that build investment, targeting, and channel strategy.
Data Access and Foundations : Access and integrate information from various tools and sources. Maintain a detailed understanding of critical data sets, governance, and modeling approaches to strengthen analytical foundations.
Teamwork and Integration : Map and lead integration points with adjacent teams; align roadmaps and ensure analytics are embedded where decisions happen.
Continuous Improvemen t: Instill a culture of testing, learning, and rapid deployment; measure impact and scale what delivers competitive advantage.
Market and Competitive Scanning : Monitor external analytics trends within and beyond pharma; selectively embrace leading practices to sustain differentiation.

Candidate Profile
• The candidate will also be required to continuously evaluate new quantitative analysis methods and technologies.
• Develop a deep understanding of internal customers' data and analytical needs focusing on the customer-facing model leadership.
• Foster the use of local customer knowledge in strategic and resourcing decisions across the business.
• Identify and prioritize improvements along with additional data analysis functions. Can coordinate the creation, rollout, and integration of such capabilities across the organization.
• Instills a culture of continuous improvement, testing, and deployment of new capabilities for the business.
• Develop innovative analytical practices to build and sustain competitive advantage.
• Access appropriate information through a variety of methods and channels
• Summarize the data in a much more data storytelling way and to present findings by redefining the raw metrics into actionable insights.
• Capability in applying deeper technical skills and knowledge that is shared across the functional area (e.g., deep knowledge of key data sets, modeling capabilities, etc.)
• Demonstrate a high level of understanding of the points of integration of our work and that of our colleagues.
• Monitors the external environment to stay up to date on leading analytic capabilities, both within and outside of pharma, which can be applied within the organization.

Desirable Skills / Experience :
Experience in brand or commercial analytics within pharmaceuticals, healthcare, or another highly regulated industry.
Proficiency with SQL and either Python or R; hands-on experience with visualization tools such as Power BI or Tableau.
Background in marketing science, including segmentation, targeting, MMM/MTA, CRM analytics, and next-best-action use cases.
Shown experience operationalizing analytics into field force, omnichannel, or marketing platforms.
Track record of working in agile settings dedicated to delivering analytics capabilities at scale.
Strong communication and collaborator engagement skills, with the ability to influence senior decision-makers.
Advanced degree in a quantitative field (e.g., statistics, economics, data science, engineering) is a plus.

Additional Information
Qualification : Advanced degree
Location : Chennai
Industry Type : Pharma/ Healthcare/ Clinical research
Job ID : R-249682
Closing Date : 30th April 2026