Senior Analyst - Commercial Pharma Analytics

AstraZeneca plc; Chennai; Hybrid; INR 1,200,000 - 1,700,000; Full time

Benefits offered by this job

Hybrid work model

Office three days

Job summary

AstraZeneca plc in Chennai is seeking a Senior Analyst - Commercial Pharma Analytics to turn healthcare data into strategic insights across Marketing, Sales, Clinical Affairs, Market Access, and Forecasting. You will partner with oncology brand leaders to shape strategy and execution using advanced analytics.

You will build production-ready analytics in Python and SQL, work with IQVIA data, and support executive decision-making with dashboards and compelling storytelling.

Qualifications

• 7–11 years of pharmaceutical/biotech analytics experience.
• Experience with secondary healthcare data (claims/EMR/EHR).
• Proven track record delivering commercial analytics with impact.

Responsibilities

• Partner with Brand teams to translate questions into analytics.
• Deliver segmentation, targeting, ROI, and market simulation analytics.
• Develop production-ready analytics in Python and SQL.
• Work with large longitudinal datasets (IQVIA, EMR).
• Communicate insights via decks and dashboards to senior leaders.

Skills

Analytical thinking

Python

SQL

Data visualization

Communication

Project management

Education

Bachelor's degree in quantitative field

Advanced degree preferred

Tools

Databricks

Power BI

Tableau

Excel

Job description

Job Title: Senior Analyst - Commercial Pharma Analytics

GCL: D1

Introduction to role:

Are you ready to turn complex healthcare data into decisions that accelerate impact for patients and brands? In this hands-on role based in Chennai or Bangalore, you will partner directly with oncology brand leaders to build strategy and execution across Marketing, Sales, Clinical Affairs, Market Access, and Forecasting. You will use advanced analytics to focus our resources, sharpen go-to-market choices, and improve patient and HCP outcomes.

As a proactive internal consultant, you will build rigorous analytics that impact growth opportunities and audience segmentation. You will also support outreach, identify HCP and patient opportunities, measure return on investment, simulate markets, and analyze patient journeys. How would you build test-and-learn experiments that drive confident decisions and measurable commercial results?

Accountabilities:

Strategic Brand Partnership: Serve as a trusted analytics partner to assigned Brand teams, translating ambiguous business questions into clear analytical approaches aligned to commercial objectives and patient impact.

Commercial Analytics and Insight Generation: Deliver opportunity assessments, segmentation and targeting, healthcare provider and patient analytics, marketing mix and return on investment analysis, market simulation, and patient flow modeling that inform strategic and tactical decisions.

Advanced Analytics and Data Science: Build production-ready analytics in Python and SQL (and PySpark where relevant). Apply statistical analysis, predictive modeling, time series, regression and econometrics, Bayesian methods, and appropriate machine learning to solve high-value problems.

Engage with large, longitudinal healthcare datasets. These cover insurance records, electronic medical and health records, prescriptions, and patient-level sources (e.g., IQVIA). Ensure the assumptions are strong and outputs reproducible.

Data Platforms and Automation: Leverage Databricks and modern data environments to create scalable, reusable analytical assets. Champion guidelines in coding, version control, documentation, and efficiency, including AI-assisted development and automation.

Collaboration and Influence: Work with cross-functional team members across Marketing, Medical, Market Access, Sales, Forecasting, and US Sales Force Operations. Manage multiple priorities and deliver clear recommendations through concise storytelling and business framing.

Executive Communication and Knowledge Sharing: Synthesize complex analyses into compelling insights for senior leadership via decks, dashboards, and executive updates. Contribute to a culture of continuous improvement, innovation, and analytical excellence.

Essential Skills/Experience:

Education:

• Bachelor’s degree or equivalent experience in a quantitative field such as:
• Engineering, Statistics, Economics, Applied Mathematics, Computer Science, Data Science, Operations Research or related field
• Advanced degree (Master’s / MBA / PhD) or equivalent experience is preferred.

Experience:

• 7–11 years of relevant experience in Pharmaceutical / Biotech / Healthcare analytics.
• Strong experience working with secondary healthcare data (claims, EMR/EHR, patient-level datasets).
• Demonstrated experience delivering commercial analytics with business impact.

Technical Skills:

• Strong hands-on experience with: Python, R, SQL (PySpark preferred) Databricks or analytics platforms
• Data visualization experience with tools such as Power BI, Tableau, MicroStrategy, QlikView (or similar).
• Advanced Excel and PowerPoint skills for executive communication.
• Expertise in statistical analysis, modelling, and data mining.
• Experience with IQVIA or similar syndicated data sources.

Essential Proficiencies:

• Strong analytical capability.
• Ability to translate data into actionable insights.
• Excellent communication and skills.
• Ability to manage multiple projects in a fast-paced environment.

Desirable Skills/Experience:

• Experience in Oncology analytics or strong understanding of patient pathways and treatment landscapes.
• Exposure to machine learning, optimization, and simulation techniques.
• Experience with Big Data / Spark-based environments.
• Proven ability to lead analytics initiatives and influence senior commercial collaborators.
• Strong strategic insight with the ability to link analytics to brand and business strategy.

When we bring together 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:

Join a global, fast-growing organization where diverse experts come together to solve complex problems that matter. You will harness brand new analytics, modern data platforms, and automation to power better decisions and real patient impact. We champion curiosity and decisive action, valuing kindness alongside ambition, and we back you with smart tools, deep mentorship, and a connected network that opens new paths. Here you can shape how we work, influence enterprise-wide decisions, and see your ideas move quickly from insight to outcome.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

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. 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.