Senior Analyst - Pharma Analytics - OBU

AstraZeneca; India; On-site; INR 1,100,000 - 1,700,000; Full time

Job summary

AstraZeneca in Chennai, India, invites applications for a Senior Analyst – Pharma Analytics. The role focuses on turning complex healthcare data into strategic insights to accelerate access to medicines.

You will work hands-on with real-world data and modern analytics platforms to guide investment, prioritization, and growth across brands. Lead analyses using advanced statistics, DoE, time series, and Bayesian methods.

Qualifications

• Quantitative degree required (Engineering, Economics, Stats, Data Science or related).
• 2+ years in Pharma/Healthcare analytics or secondary data analysis.
• 5+ years applying advanced methods on large datasets.
• 4+ years with PySpark, Python, R, SQL.
• Familiarity with DataBricks.
• Experience with data visualization tools (PowerBI, Tableau, MicroStrategy, QlikView).
• Proficiency in extracting insights from large longitudinal data sources.

Responsibilities

• Translate priority questions into robust analytical plans for brand strategy and market execution.
• Apply DoE, time series, regression, econometrics, Bayesian methods for decision-ready insights.
• Ingest and analyze large longitudinal data (claims, EMR) across HCP and patient dynamics.
• Build scalable data pipelines with PySpark and DataBricks to ensure reproducible assets.
• Craft concise narratives and visuals to communicate implications and actions.

Skills

Statistics

Design of Experiments

Time Series

Econometrics

Machine Learning

Data Visualization

Communication

Leadership

Critical Thinking

Education

Quantitative Bachelor’s degree

Advanced degree preferred (MS/MBA/PhD)

Tools

PySpark

Python

R

SQL

DataBricks

PowerBI

Tableau

MicroStrategy

QlikView

D3.js

Job description

Job Title: Senior Analyst - Pharma Analytics - OBUCareer 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 (Oncolo