Analyst - Brand Analytics

Posted 2 Hours Ago
Be an Early Applicant
Bangalore, Bengaluru Urban, Karnataka, IND
In-Office
Senior level
Biotech • Pharmaceutical
The Role
Analyze pharmaceutical and healthcare datasets to support brand strategy and commercial decision-making. Develop predictive, prescriptive, statistical, and machine-learning models; perform customer segmentation; build and deploy analytics capabilities; and communicate insights to cross-functional partners across Marketing, Medical, Market Access, Sales, Forecasting, and Commercial Operations. The role also requires managing large longitudinal patient-level and transactional datasets, evaluating analytical methods, and driving continuous improvement.
Summary Generated by Built In

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.

Ready to take action? Apply now to become part of our dynamic team!

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.

Skills Required

  • Bachelor’s degree in Engineering, Operations Research, Management Science, Economics, Statistics, Applied Mathematics, Computer Science, Data Science, or a related quantitative field
  • At least 2 years of experience in pharmaceutical, biotech, healthcare analytics, or secondary data analysis
  • At least 5 years of experience applying sophisticated analytical methods and statistical procedures to large, disparate datasets
  • At least 4 years of recent experience with PySpark, Python, R, and SQL
  • Proficiency with Databricks or similar data platforms
  • Experience manipulating and extracting insights from large longitudinal datasets, including claims and EMR data
  • Experience with IQVIA datasets
  • Expertise handling and analyzing large secondary transactional databases
  • Background in statistical analysis and modeling
  • Knowledge of experimental design, time series, regression, applied econometrics, and Bayesian methods
  • Experience with data mining, predictive modeling, and machine-learning algorithms
  • Ability to derive, summarize, and communicate analytical insights
  • Strong organization and time-management skills
  • Microsoft Excel and PowerPoint skills
  • Advanced degree such as a Master’s, MBA, or PhD
  • Experience with Power BI, MicroStrategy, Tableau, QlikView, D3.js, or similar visualization tools
  • Machine-learning experience
  • Knowledge of AstraZeneca brands and science, particularly oncology
  • Experience with big data and exposure to Spark
  • Strong leadership, interpersonal, communication, influencing, and critical-thinking skills

AstraZeneca Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about AstraZeneca and has not been reviewed or approved by AstraZeneca.

  • Fair & Transparent Compensation Pay is considered competitive across many roles when total rewards are factored in. Senior scientific and leadership bands are described with high ranges that reinforce competitiveness at upper levels.
  • Strong & Reliable Incentives Bonuses, equity eligibility in many salaried roles, and solid sales on‑target earnings with upside are emphasized as meaningful parts of compensation. These elements boost overall value even where base pay is not the very highest.
  • Retirement Support A 401(k) program with a strong company match and immediate vesting is repeatedly cited as a standout. Generous retirement support is viewed as enhancing the total package relative to peers.

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The Company
HQ: Gaithersburg, MD
70,000 Employees
Year Founded: 1999

What We Do

We're transforming the future of healthcare by unlocking the power of what science can do for people, society and the planet.

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