Senior Analyst - Pharmaceutical Data Analytics

Astrazeneca India Private Limited; Chennai District; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

AstraZeneca India Private Limited in Chennai is seeking a Senior Analyst in Pharma Analytics to turn real-world data into actionable insights that guide brand strategy, investment and execution.

You will work hands-on with PySpark, Python, R and SQL, build scalable pipelines in DataBricks, and craft dashboards in PowerBI/Tableau to inform oncology launches and in-market performance.

Qualifications

• 2+ years in Pharmaceutical/healthcare analytics or secondary data analysis.
• 5+ years applying advanced methods to large datasets.
• 4+ years proficiency with PySpark, Python, R, SQL.
• Experience with IQVIA data sets is a plus.

Responsibilities

• Engage with commercial stakeholders to translate questions into analytic plans.
• Apply DoE, time series, regression, econometrics, Bayesian methods, and predictive modelling.
• Ingest and analyze longitudinal datasets (claims, EMR) to uncover dynamics.
• Build scalable pipelines using PySpark and DataBricks.
• Create concise visuals and dashboards to communicate insights and actions.

Skills

PySpark

Python

R

SQL

DataBricks

PowerBI

Tableau

Education

Bachelor's degree (quantitative)

Advanced degree preferred (MS/MBA/PhD)

Tools

DataBricks

PowerBI

Tableau

MicroStrategy

Qlikview

Excel

Job description

Senior Analyst – Pharma Analytics – OBU

Job Title: Senior Analyst – Pharma Analytics – OBU Career Level: D1 Introduction to role: Are you ready to turn complex healthcare data into decisions that accelerate access to life-changing medicines? Based in Chennai, you will join a high-performing analytics team that partners closely with commercial leaders to sharpen strategy, improve execution, and ultimately benefit patients. In this role, you will convert real-world data into clear, actionable insights that guide how we invest, prioritize, and grow across our brands. You will work hands-on with modern data platforms, advanced statistical methods, and visualization tools to influence critical choices at speed. Can you imagine leading analyses that shape the next wave of oncology launches and in‑market performance?

Accountabilities:

• Business-Driven Analytics: Engage with commercial stakeholders to translate priority questions into robust analytical plans that inform brand strategy, resource allocation, and market execution.
• Advanced Modelling and Experimentation: Apply Design of Experiments, time series, regression, econometrics, Bayesian methods, predictive modelling, optimization, and simulation to generate credible, decision-ready recommendations.
• Real-World Data Mastery: Ingest, engineer, and analyze large longitudinal datasets, including claims and EMR, to uncover patient, HCP, and market dynamics that drive measurable outcomes.
• Scalable Data Engineering: Build and productionize efficient pipelines using PySpark and platforms like DataBricks to ensure reliable, timely, and reusable analytical assets.
• Insight Storytelling: Create concise narratives and visuals in PowerBI, Tableau, MicroStrategy, Qlikview, or similar tools to communicate implications, trade-offs, and next-best actions.
• Performance Measurement: Design and operationalize KPIs, test-and-learn frameworks, and dashboards that track impact, reduce uncertainty, and enable rapid course correction.
• Quality, Governance, and Reproducibility: Document methods, code, and assumptions; enforce data quality checks; and standardize best practices for repeatable, auditable analyses.
• Collaboration and Influence: Partner with cross-functional teams to align on hypotheses, stress-test findings, and drive adoption of insights in planning and field execution.
• Continuous Improvement: Identify capability gaps, automate manual work, mentor peers, and contribute to a shared library of models, features, and templates that raise the bar across the team.
• Delivery Excellence: Prioritize and manage multiple projects, meet timelines with clarity on risks and dependencies, and deliver outcomes that directly support business goals.

Essential Skills/Experience:

• Quantitative Bachelor’s degree from an accredited college or university is required in one of the following or related fields: Engineering, Operations Research, Management Science, Economics, Statistics, Applied Math, Computer Science or Data Science. An advanced degree is preferred (Master’s, MBA or PhD).
• 2+ years of experience in Pharmaceutical / Biotech / Healthcare analytics or secondary data analysis.
• 5+ years of experience in application of advanced methods and statistical procedures on large and disparate datasets.
• 4+ years of recent experience and proficiency with PySpark, Python, R, SQL.
• Working knowledge on platforms like DataBricks.
• Working knowledge of data visualization – PowerBI, MicroStrategy, Tableau, Qlikview, D3js or similar tools is a plus.
• Experience in MS Office products – Excel and PowerPoint skills required.
• Proficiency in manipulating and extracting insights from large longitudinal data sources, such as Claims, EMR and other patient level data sets.
• Experience with IQVIA data sets.
• Ability to derive, summarize and communicate insights from analyses.
• Organization and time management skills.
• Expertise in managing and analyzing a range of large, secondary transactional databases is required.
• Statistical analysis and modelling background.
• ML a plus.
• Statistical Analysis & Modelling: Design of Experiments, Time Series, Regression, Applied Econometrics and Bayesian methods.
• Data Mining, Predictive Modelling & Machine Learning algorithms.
• Optimization & Simulation.

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.
• Strong organizational skills and time management; ability to manage diverse range of simultaneous projects.
• 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 thinking with the power to inspire 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.

Why AstraZeneca:

Here, data experts are embedded with decision-makers to shape the future of our medicines and the way we deliver them to patients. You will work with cutting-edge platforms and diverse real-world datasets, surrounded by curious, supportive peers who combine scientific rigor with entrepreneurial drive. We bring different disciplines together to spark bold ideas and make fast, well-informed choices, while valuing kindness alongside ambition. Your contributions will be visible, meaningful, and connected to a mission that improves lives, with room to grow your craft, your influence, and your impact.

Experience Level:

Senior Level

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.