AstraZeneca is hiring for the position of Analyst – Brand Analytics in Bangalore, India. This is a full-time opportunity for professionals with strong experience in pharmaceutical, biotechnology or healthcare analytics and advanced analytical methods.
The role will support AstraZeneca’s Commercial Organization by developing data-driven solutions for brand strategy, customer segmentation and business decision-making. The position involves working with large and complex datasets and collaborating with teams across Marketing, Medical, Market Access, Sales, Forecasting and other Commercial Operations functions.
Candidates with strong expertise in Python, PySpark, R, SQL, statistical modelling, predictive analytics and large-scale data analysis may be suitable for this opportunity.
AstraZeneca Recruitment 2026 – Job Highlights
| Job Details | Information |
|---|---|
| Company | AstraZeneca |
| Job Title | Analyst – Brand Analytics |
| Job Requisition ID | R-259728 |
| GCL | C3 |
| Job Location | Bangalore, India |
| Employment Type | Full-Time |
| Experience | 2+ years in Pharmaceutical/Biotech/Healthcare analytics or secondary data analysis |
| Advanced Analytics Experience | 5+ years |
| Technical Experience | 4+ years with PySpark, Python, R and SQL |
| Qualification | Quantitative Bachelor’s Degree |
| Preferred Qualification | Master’s, MBA or PhD |
| Work Arrangement | Hybrid; average minimum 3 days per week from office |
| Application Mode | Online |
| Date Posted | 14 September 2026 |
| Closing Date | 15 September 2026 |
About AstraZeneca
AstraZeneca is a global pharmaceutical company focused on developing and delivering medicines for patients across a range of therapeutic areas.
For this position, the company is looking for an analytics professional who can help strengthen data-driven decision-making within its Commercial Organization. The role combines advanced analytics, business understanding and cross-functional collaboration.
Job Description
Analyst – Brand Analytics
The Analyst – Brand Analytics will work as an analytical partner to a specific brand team and help convert complex datasets into useful commercial insights.
The role involves developing analytical solutions for business opportunities, customer segmentation and other commercial needs. The professional will work with multiple internal teams and contribute to the development of new analytical capabilities and practices.
Strong knowledge of predictive and prescriptive analytics, statistical modelling and large-scale data analysis is important for this position.
Eligibility Criteria
Educational Qualification
A Bachelor’s degree in a quantitative discipline from an accredited college or university is required.
Relevant fields include:
- Engineering
- Operations Research
- Management Science
- Economics
- Statistics
- Applied Mathematics
- Computer Science
- Data Science
- Other related quantitative disciplines
An advanced qualification such as a Master’s degree, MBA or PhD is preferred.
Experience Requirements
Candidates should have:
- At least 2 years of experience in Pharmaceutical, Biotechnology or Healthcare analytics, or secondary data analysis.
- At least 5 years of experience applying sophisticated analytical methods and statistical procedures to large and diverse datasets.
- At least 4 years of recent hands-on experience with PySpark, Python, R and SQL.
- Experience working with large secondary transactional databases.
- Experience extracting and interpreting insights from longitudinal datasets such as claims, EMR and patient-level data.
- Experience working with IQVIA datasets.
Technical Skills
The position requires strong capabilities in data analytics and statistical modelling, including:
- Python
- PySpark
- R
- SQL
- DataBricks
- Statistical analysis
- Statistical modelling
- Data mining
- Predictive modelling
- Machine learning concepts
- Large-scale data analysis
- Longitudinal data analysis
- Secondary transactional databases
- Data extraction and manipulation
Knowledge of data visualization platforms such as Power BI, MicroStrategy, Tableau, QlikView or D3.js is an advantage.
Experience with MS Excel and PowerPoint is required.
Statistical and Analytical Expertise
Candidates should have experience with advanced quantitative techniques, including:
- Experimental design
- Time-series analysis
- Regression
- Applied econometrics
- Bayesian methods
- Predictive modelling
- Machine learning algorithms
- Optimization
- Simulation
- Data mining
The ability to translate analytical findings into clear and actionable business insights is also important.
Key Responsibilities
The selected professional will contribute to the following activities:
- Act as an analytical partner to the assigned brand team.
- Develop data-driven solutions for commercial business opportunities.
- Support customer segmentation and related analytical initiatives.
- Evaluate quantitative analysis techniques and emerging technologies.
- Understand internal stakeholders’ data and analytical requirements.
- Coordinate with relevant teams to support effective business processes.
- Develop and implement new analytical capabilities across the organization.
- Work with large and varied datasets to identify meaningful patterns and insights.
- Analyze local customer information to support strategic decision-making.
- Prepare analytical findings for business stakeholders.
- Communicate insights through appropriate presentations and other communication channels.
- Contribute to continuous improvement of analytical practices.
- Collaborate with Marketing, Medical, Market Access, Sales, Forecasting and Commercial Operations teams.
Desirable Skills and Experience
The following capabilities can further strengthen a candidate’s suitability:
- Strong leadership and interpersonal skills.
- Effective communication and influencing ability.
- Experience presenting analytical findings to business leaders.
- Strong critical-thinking skills.
- Ability to build credibility with senior Commercial Leadership stakeholders.
- Ability to understand new concepts and technologies quickly.
- Experience with Big Data.
- Exposure to SPARK.
- Knowledge of AstraZeneca brands and scientific areas.
- Oncology knowledge or experience is advantageous.
Work Location and Work Environment
This position is based in Bangalore, India and is offered as a full-time hybrid role.
AstraZeneca states that employees are expected to work from the office, on average, for a minimum of three days per week, while maintaining flexibility in the working arrangement.
The role involves collaboration with distributed teams and multiple Commercial and business functions.
Salary / CTC
The salary or CTC for the Analyst – Brand Analytics position has not been disclosed in the provided vacancy information.
Candidates should confirm compensation and other employment terms directly through the official recruitment process.
Selection Process
The detailed selection process has not been specified in the provided job description. Candidates who meet the stated requirements may be contacted by AstraZeneca for the next stages of recruitment.
How to Apply
Eligible candidates can apply online through AstraZeneca’s official careers portal.
Applicants should review the eligibility and experience requirements carefully before submitting their application.
Important Details Before Applying
- Company: AstraZeneca
- Position: Analyst – Brand Analytics
- Location: Bangalore, India
- Job ID: R-259728
- Employment: Full-Time
- Qualification: Quantitative Bachelor’s degree
- Preferred: Master’s, MBA or PhD
- Healthcare/Pharma Analytics: 2+ years
- Advanced Analytics: 5+ years
- PySpark/Python/R/SQL: 4+ years of recent experience
- IQVIA Data: Experience required
- Work Model: Hybrid
- Office Requirement: Average minimum 3 days per week
- Posted: 14 September 2026
- Closing Date: 15 September 2026
Frequently Asked Questions
1. What position is AstraZeneca hiring for?
AstraZeneca is hiring for an Analyst – Brand Analytics position.
2. Where is this AstraZeneca job located?
The position is based in Bangalore, India.
3. What educational qualification is required?
A quantitative Bachelor’s degree in fields such as Engineering, Statistics, Economics, Computer Science, Data Science, Applied Mathematics or related disciplines is required.
4. How much experience is required?
The vacancy specifies 2+ years of experience in Pharmaceutical, Biotech or Healthcare analytics or secondary data analysis, along with 5+ years of experience applying advanced analytical and statistical methods to large datasets and 4+ years of recent experience with PySpark, Python, R and SQL.
5. Is Python experience required?
Yes. The position requires recent proficiency with PySpark, Python, R and SQL.
6. Is experience with IQVIA datasets required?
Yes. Experience working with IQVIA datasets is included in the essential skills and experience requirements.
7. Is the AstraZeneca Brand Analytics role remote?
The position is hybrid. AstraZeneca states that employees work from the office, on average, a minimum of three days per week.
8. What is the last date to apply?
The provided vacancy information lists 15 September 2026 as the closing date. Candidates should apply as early as possible and verify the current status on the official AstraZeneca careers page.
Important Note
Recruitment timelines, vacancy status, eligibility criteria and other employment conditions may be updated by the employer. Candidates should verify the latest information on the official AstraZeneca careers portal before applying. Meeting the listed qualifications does not guarantee selection.