# Senior Analyst - Commercial Pharma Analytics at AstraZeneca

AstraZeneca is hiring a Senior Analyst - Commercial Pharma Analytics in Chennai, India. Level rates it Little AI ●○○○; you can [apply on Level](https://jobsbylevel.com/go/d538d4ee-e75c-47b2-bb0e-df5088d534fe?utm_medium=ai-agent).

AI Level 1, AI centrality 27 out of 100. India - Chennai.

## Details

- Company: [AstraZeneca](https://jobsbylevel.com/companies/astrazeneca)
- AI level: AI Level 1 (score 27 out of 100)
- Location: India - Chennai
- Posted: October 16, 2026
- Apply: https://jobsbylevel.com/go/d538d4ee-e75c-47b2-bb0e-df5088d534fe?utm_medium=ai-agent

## 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

The description is cut here. Read the full offer: https://jobsbylevel.com/jobs/senior-analyst-commercial-pharma-analytics-at-astrazeneca-d55149

Source: https://jobsbylevel.com/jobs/senior-analyst-commercial-pharma-analytics-at-astrazeneca-d55149

## Cite this page

Level. https://jobsbylevel.com/jobs/senior-analyst-commercial-pharma-analytics-at-astrazeneca-d55149.

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