Brand Analytics Analyst

Astrazeneca India Private Limited; Bengaluru; On-site; INR 800,000 - 1,400,000; Full time

Job summary

AstraZeneca India Private Limited is seeking a Senior Analyst in Brand Analytics to drive data-driven decisions for a brand team. You will act as an internal consultant, building predictive and prescriptive analytics across datasets and collaborating with Marketing, Medical, Sales and Forecasting teams.

You will develop analytic capabilities, coordinate with US Sales Force Operations, and present findings to leadership to enable commercial opportunities and competitive advantage.

Qualifications

• Quantitative degree required in engineering, operations research, economics, statistics, or data science.
• Advanced degree preferred (Master’s/MBA/PhD).
• 2+ years in pharma/biotech/healthcare analytics or secondary data analysis.
• 5+ years applying sophisticated methods on large datasets.
• Experience with PySpark, Python, R, SQL; DataBricks familiarity; strong data visualization skills.

Responsibilities

• Lead development and deployment of new analytic capabilities across the organization.
• Collaborate with Marketing, Medical, Market Access, Sales, Forecasting and other partners to drive data-driven decisions.
• Summarize and present findings through multiple channels to influence strategic choices.

Skills

PySpark

Python

R

SQL

Statistical modeling

Time series analysis

Machine Learning

Data visualization

Power BI

Tableau

D3.js

Education

Bachelor's in Engineering/Statistics/Economics/Data Science

Advanced degree preferred (Master’s/MBA/PhD)

Tools

DataBricks

IQVIA datasets

Job description

Analyst - Brand Analytics

Job Title: Analyst - Brand Analytics GCL: C3

Introduction to role:

Do you feel prepared to make a significant impact in the world of pharmaceuticals? As a Senior Analyst in Brand Analytics, you'll be at the forefront of driving strategic and operational excellence within our Commercial Organization. This hands-on analytical role involves acting as a proactive internal consultant to a specific brand team, crafting commercial solutions that enable data-driven decisions. Your expertise in predictive and prescriptive analytics will be essential as you coordinate the understanding of various datasets and implement analytical solutions for business opportunities, customer segmentation, and more. Collaborate closely with Marketing, Medical, Market Access, Sales, Forecasting, and other Commercial Operations partners to build innovative analytical practices that sustain competitive advantage.

Accountabilities:

Are you ready to foster the use of local customer insights in strategic decisions? You'll continuously evaluate new quantitative analysis methods and technologies, develop a deep understanding of internal customers' data needs, and collaborate with US Sales Force Operations for successful business processes. Lead the development and deployment of new analytic capabilities across the organization, instilling a culture of continuous improvement. Summarizing and presenting findings through various communication channels will be key in driving impactful business decisions.

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 sophisticated methods and statistical procedures on large and disparate datasets.
• 4+ years of recent experience and proficiency with PySpark, Python, R, SQL.
• Solid understanding on platforms like DataBricks.
• Solid understanding 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 handling and analyzing a range of large, secondary transactional databases is required.
• Statistical analysis and modelling background.
• ML a plus.
• Statistical Analysis & Modelling: Build of Experiments, Time Series, Regression, Applied Econometrics and Bayesian methods. Data Mining, Predictive Modelling & Machine Learning algorithms. Optimization & Simulation.

Desirable Skills/Experience:

Do you have strong leadership and interpersonal skills? Your ability to work collaboratively with business leaders and cross-functional partners will be essential. Demonstrated communication and influencing skills will help you present compelling reviews infused with insights. Critical thinking and credibility with the Commercial Leadership Team are key. Knowledge of AZ brand and Science (Oncology in particular) is advantageous. Experience using Big Data and exposure to SPARK are desirable. Do you have the readiness to grasp new concepts quickly? When we put unexpected teams in the same room, we fuel aggressive thinking with the power to encourage 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 flexibility. Join us in our outstanding and daring world. At AstraZeneca, you'll join a dedicated distributed team that powers our evolving enterprise to better serve patients every day. Coordinated with the whole enterprise, we leverage exciting technology and digital innovations to accelerate our evolution. Our entrepreneurial spirit keeps us ahead as we apply creativity to every task. With countless opportunities available, this is the place to build an unrivalled reputation while making a meaningful impact on patients' lives.

Date Posted 14-Sept-2026 Closing Date 15-Sept-2026

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.

Experience Level Mid Level