Senior Analyst – Pharma Analytics – OBU

AstraZeneca GmbH; Chennai District; On-site; INR 1,500,000 - 2,800,000; Full time

Job summary

AstraZeneca GmbH in Chennai, India, seeks a Senior Analyst – Pharma Analytics – OBU to turn real-world data into actionable strategies. You’ll work with PySpark, Python, R and DataBricks on large longitudinal datasets to guide brand strategy and market execution.

You will build scalable analytical assets, deliver KPI dashboards in PowerBI/Tableau, and collaborate with commercial leaders to shape oncology launches and in‑market performance.

Qualifications

• Bachelor-level degree in Engineering, Data Science, Statistics or related field; advanced degree preferred.
• 2+ years in Pharmaceutical/Biotech/Healthcare analytics or secondary data analysis.
• 5+ years applying advanced methods to large datasets.
• 4+ years with PySpark, Python, R and SQL.

Responsibilities

• Translate priority questions into analytical plans for brand strategy and market execution.
• Apply experimental design, time series, regression and Bayesian methods for decision-ready insights.
• Ingest and analyze large longitudinal datasets (claims, EMR) to reveal patient and market dynamics.
• Build scalable pipelines with DataBricks and PySpark for reliable analytics assets.
• Create clear narratives and visuals in PowerBI, Tableau, MicroStrategy or Qlikview.
• Design KPIs and dashboards to track impact and support rapid course correction.
• Document methods, ensure data quality, and promote reproducibility.
• Collaborate with cross-functional teams to drive adoption of insights in planning.
• Mentor peers and contribute to shared models and templates.

Skills

PySpark

Python

R

SQL

Statistics

Design of Experiments

Time Series

Bayesian methods

Cross-functional collaboration

Education

Bachelor's degree in Engineering / Data Science / Statistics

Master's degree preferred

Tools

DataBricks

Tableau

PowerBI

MicroStrategy

Qlikview

Excel

PowerPoint

D3js

SQL

Python

R

Job description

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, prioritise, 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, optimisation and simulation to generate credible, decision‑ready recommendations.
• Real‑World Data Mastery: Ingest, engineer, and analyse large longitudinal datasets, including claims and EMR, to uncover patient, HCP and market dynamics that drive measurable outcomes.
• Scalable Data Engineering: Build and productionise 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 operationalise 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 standardise 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: Prioritise 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 and SQL.
• Working knowledge on platforms like DataBricks.
• Working knowledge of data visualisation – 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 datasets.
• Experience with IQVIA data sets.
• Ability to derive, summarise and communicate insights from analyses.
• Organisation and time‑management skills.
• Expertise in managing and analysing a range of large, secondary transactional databases is required.
• Statistical analysis and modelling background.
• ML is a plus.
• Statistical Analysis & Modelling: Design of Experiments, Time Series, Regression, Applied Econometrics and Bayesian methods.
• Data Mining, Predictive Modelling & Machine Learning algorithms.
• Optimisation & 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 organisational 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.

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.

Call to Action

If you are ready to transform real‑world data into decisive action for patients and the business, step forward and make your impact count!

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 authorisation and employment eligibility verification requirements.