Pharmaceutical Commercial Analytics Analyst

Astrazeneca India Private Limited; Chennai; On-site; INR 900,000 - 1,300,000; Full time

Job summary

AstraZeneca in Chennai seeks an Analyst in Commercial Pharma Analytics to deliver data-driven insights that steer brand strategy and resource allocation. You will partner with Marketing, Medical, Market Access, Sales and Forecasting to build actionable analytics across segmentation, targeting and market simulations.

You will access large datasets using PySpark, Python, R and SQL, craft visualizations in PowerBI/Tableau, and communicate complex results to senior stakeholders for rapid impact.

Qualifications

• Quantitative degree in engineering, economics, statistics or related field.
• 3+ years applying advanced methods to large datasets.
• Proficiency with PySpark, Python, R and SQL.

Responsibilities

• Provide rigorous analytics to guide brand strategy and resourcing decisions.
• Build segmentation and targeting for HCP and patient groups.
• Develop predictive and prescriptive models using diverse data sources.
• Lead experiments, market simulations, and patient movement modelling.
• Communicate insights with clear narratives and visuals for leadership.

Skills

PySpark

Python

R

SQL

PowerBI

Tableau

Qlikview

DataBricks

IQVIA data

Excel

PowerPoint

Big Data

SPARK

Education

Bachelor's degree in quantitative field

Advanced degree preferred (MBA/Master's/PhD)

Tools

DataBricks

IQVIA datasets

Big Data tools

SPARK

Job description

Analyst - Commercial Pharma Analytics

GCL:C3

Introduction to role: Are you ready to turn complex healthcare data into decisions that accelerate brand growth and improve patient outcomes? As an Analyst in Pharmaceutical Commercial Analytics based in Chennai, you will serve as a proactive internal consultant to a specific brand team, crafting and delivering commercial analytics. These analytics help drive strategic and operational excellence. Your work will enable data-driven decisions grounded in rigorous analysis and the best available information, directly influencing how we engage customers, allocate resources, and measure impact. You will collaborate closely with Marketing, Medical, Market Access, Sales, Forecasting, and other partners to build forward-looking and actionable solutions across customer segmentation and targeting, HCP and patient opportunity identification, test-and-learn experiments, market simulation, and patient flow modelling. Imagine seeing your insights shape go-to-market strategies within weeks, and your capabilities embedded across the enterprise-how will you leave your mark?

Accountabilities:

• Commercial Decision Support: Provide rigorous analytics to guide brand strategy and resourcing decisions, focusing on customer-facing model leadership and measurable business impact.
• Segmentation and Targeting: Build and implement HCP and patient grouping and selection approaches; identify high-value opportunities to improve coverage, conversion, and growth.
• Predictive and Prescriptive Analytics: Build, test, and operationalize models using syndicated and custom, primary and secondary data (including IQVIA) to inform decisions and actions.
• Experimentation and Simulation: Lead smart business experiments (test and learn), market analysis simulations, and patient movement modelling to de-risk decisions and accelerate learning.
• Data Access and Integration: Access and integrate large, transactional datasets via platforms and tools such as DataBricks, PySpark, Python, R, and SQL; ensure quality and reproducibility.
• Insight Communication: Summarize and present findings through clear narratives, visualizations, and concise recommendations that influence senior collaborators and drive action.
• Capability Building: Identify, prioritize, and lead the development, deployment, and embedding of new analytic capabilities; instill a culture of continuous improvement.
• Partnership and Influence: Build trusted relationships with cross-functional partners; translate technical solutions into business value and shared outcomes.
• External Scanning: Monitor the external analytics landscape within and beyond pharma; evaluate and adapt leading methods and technologies for practical use inside the organization.

Essential Skills/Experience:

• A quantitative Bachelor's degree or equivalent experience from an accredited college or university is required. It must be in Engineering, Operations Research, Management Science, Economics, Statistics, Applied Math, Computer Science, Data Science, or a related field.
• An advanced degree is preferred (Master's, MBA or PhD).
• 3+ years of experience in application of advanced methods and statistical procedures on large and disparate datasets.
• 3+ years of recent experience and proficiency with PySpark, Python, R, SQL.
• Working knowledge of data visualization - PowerBI, MicroStrategy, Tableau, Qlikview, D3js or similar tools.
• Working knowledge on platforms like DataBricks.
• Experience with IQVIA data sets.
• Experience in MS Office products - Excel and PowerPoint skills required.
• Expertise in managing and analyzing a range of large, transactional databases is required.
• Statistical analysis and modelling background is advantageous ML a plus.
• Ability to derive, summarize and communicate insights from analyses.
• Organization and time management skills.

Desirable Skills/Experience:

• Strong leadership and interpersonal skills with demonstrated ability to work collaboratively with a significant number of business leaders and cross-functional business partners.
• Strong communication and influencing skills with demonstrated ability to develop and effectively present succinct, compelling reviews of independently developed analyses infused with insight and business implications/actions to be considered.
• Strategic and critical thinking with the ability to engage, build and maintain credibility with Commercial Leadership Team.
• Knowledge of AZ brand and Science (Oncology in particular).
• Experience using Big Data, is a plus.
• Exposure to SPARK is desirable.
• Should have Excellent Analytical, Problem-Solving ability.
• Should be able to grasp new concepts quickly.

When we put unexpected teams in the same room, we unleash bold ideas fueled by the power to encourage life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. That's why we work, on average, a minimum of three days per week from the office. But that doesn't mean we're not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world.

Why AstraZeneca:

Here, you will connect cutting-edge analytics with a clear purpose-transforming the lives of patients with unmet needs. You will join a collaborative, high-performing community that pairs data scientists with marketers, clinicians, and technologists to solve real problems at pace. We invest in modern platforms, embrace predictive analytics and smart automation, and encourage curiosity and initiative alongside kindness and support. Your expertise will help power a digitally evolving enterprise, creating solutions that free our scientists to discover more and our brands to deliver better outcomes for patients and society.

Date Posted 16-Oct-2026 Closing Date 27-Oct-2026

AstraZeneca embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills. We believe that the more inclusive we are, the better our work will be. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.