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 Bachelors 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 (Masters 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 -person working gives us the platform we need to connect work at pace and challenge perceptions. Thats why we work on average a minimum of three days per week from the office. But that doesnt mean were 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 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!

Date Posted

Closing Date

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.