Analyst - Brand Analytics
AstraZeneca
This listing was originally posted on AstraZeneca's careers page. Formulate is an equal opportunity job aggregator and is not involved in the hiring process. Where salary information is estimated, it is derived from BLS industry benchmarks and may differ from actual compensation.
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Upgrade to Pro — $25/moJob Title: Analyst - Brand Analytics
Career Level: C3
Introduction to role:
Are you ready to turn sophisticated healthcare data into decisions that develop oncology brands and improve patient journeys? How would you design meticulous, test-and-learn experiments that shift market performance and prove return on investment at scale?
Based in Bangalore, you will be a hands-on strategic partner to commercial brand teams, delivering high-impact insights that guide choices across Marketing, Sales, Medical, Market Access, and Forecasting. You will translate ambiguous questions into clear analytical approaches, then communicate compelling recommendations that influence senior collaborators.
Joining a global network of data and digital specialists, you will work with advanced platforms and rich secondary healthcare data to solve important problems. Your work will accelerate brand performance today and build reusable analytical assets that set the standard for how we operate tomorrow.
Commercial Analytics and Insight Generation: Partner with assigned brand teams to shape strategy and execution through meticulous, data-driven analysis that informs where to focus and why it matters.
Opportunity Identification: Size markets, uncover HCP and patient opportunities, and assess whitespace to prioritize investments that drive measurable impact.
Customer Segmentation and Targeting: Build and operationalize segments that sharpen targeting across channels and optimize field and non-personal engagement.
Marketing Mix and return on investment: Quantify channel effectiveness, run attribution and econometric analyses, and guide budget reallocation to enhance returns.
Test-and-Learn Experimentation: Design and evaluate smart business experiments and pilots; establish success metrics and embed lessons into ongoing plans.
Market Simulation and Patient Flow Modelling: Create simulations and patient journey models to pressure-test scenarios and inform trade-off decisions.
Advanced Analytics and Data Science: Develop robust, production-ready analytics in Python and SQL (and PySpark where relevant), applying statistical methods, predictive modelling, time series, regression, econometrics, and Bayesian techniques.
Secondary Healthcare Data Mastery: Work extensively with large, longitudinal datasets (claims, EMR/EHR, prescription and patient-level data, including IQVIA) to generate trusted insights.
Data, Platforms and Automation: Use Databricks and modern data environments to build scalable, reusable assets; champion standard processes in coding, version control, documentation, and reproducibility.
Analytics Automation: Find opportunities to automate recurring analytics, apply AI-assisted coding, and standardize frameworks to boost speed and quality.
Collaborator and Cross-Functional Collaboration: Collaborate with Marketing, Medical, Market Access, Sales, Forecasting, and US Sales Force Operations; manage several priorities without compromising quality or turnaround time.
Executive Communication and Storytelling: Synthesize sophisticated outputs into clear, decision-ready insights for senior leaders via decks, dashboards, and executive updates; frame recommendations in business terms.
Continuous Improvement: Contribute to a culture of innovation and analytical excellence, sharing knowledge and elevating standards across the team.
Education:
Join a high-performing community where data, design thinking, and digital innovation come together to power real change for patients. Work closely with unexpected partners-marketers, medical leaders, data engineers—in the same room, igniting bold ideas and turning them into impact at speed. We value ambition and courtesy in equal measure, giving you the autonomy to be responsible for your ideas, the technology to implement them, and the support to keep stretching your skills as you help shape how our business operates and grows.
If you are ready to lead the transition from raw data to significant improvements and scale process mining across a global enterprise, send us your CV and show how can you build the next wave of impact!
When we put unexpected teams in the same room, we ignite bold thinking with the power to
inspire 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 individual flexibility. Join us in our unique and ambitious world.
AstraZeneca offers the chance to work at speed on meaningful problems where analytics directly influences how science reaches patients worldwide. Here, high-performing people collaborate across fields, apply digital innovation to real business challenges, take smart risks, and see their ideas move quickly from concept to reality. Ethics, compliance and transparency sit at the heart of how decisions are made; trusted partners are empowered to do the right thing while building an exceptional reputation in a globally recognised organisation that invests in learning, stretch opportunities and long-term career growth.
Ready to lead bold initiatives that shape decisions across a science-led global enterprise? Apply now!
Date Posted
14-Oct-2026Closing Date
15-Oct-2026AstraZeneca 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.
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