Analyst - Brand Analytics

Job Title: Analyst - Brand Analytics

GCL: C3

Introduction to role:

Are you ready to turn sophisticated brand data into decisions that help more patients receive the right medicines, as an Analyst in Brand Analytics, your role involves translating local customer signals and performance metrics into mentorship that advises brand strategy, resourcing, and customer engagement models.

You will join a connected, digitally minded team that partners across markets and functions to raise the bar on how decisions get made. You will test new methods, introduce better tools, and create analytical practices that scale—so the enterprise can operate smarter today and be ready for tomorrow. Ready to be the voice of the customer in every strategic discussion?

Accountabilities:

Customer Insight Leadership: Advocate for the application of local customer insight to inform brand strategy, prioritisation, and customer engagement models across markets.

Analytic Capability Development: Determine and rank improvements and new analytic capabilities; lead the development, deployment, and embedding of these capabilities to elevate decision quality at pace.

Advanced Methods and Technology: Continuously evaluate emerging quantitative methods, data assets, and technologies; bring in what works and retire what does not to keep the toolkit modern.

Data Storytelling and Decision Influence: Convert raw data into significant conclusions and compelling narratives; present recommendations that build investment, targeting, and channel strategy.

Data Access and Foundations: Access and integrate information from various tools and sources. Maintain a detailed understanding of critical data sets, governance, and modeling approaches to strengthen analytical foundations.

Teamwork and Integration: Map and lead integration points with adjacent teams; align roadmaps and ensure analytics are embedded where decisions happen.

Continuous Improvement: Instill a culture of testing, learning, and rapid deployment; measure impact and scale what delivers competitive advantage.

Market and Competitive Scanning: Monitor external analytics trends within and beyond pharma; selectively embrace leading practices to sustain differentiation.

Essential Skills/Experience:

• The candidate will also be required to continuously evaluate new quantitative analysis methods and technologies.
• Develop a deep understanding of internal customers' data and analytical needs focusing on the customer-facing model leadership.
• Foster the use of local customer knowledge in strategic and resourcing decisions across the business.
• Identify and prioritize improvements along with additional data analysis functions. Can coordinate the creation, rollout, and integration of such capabilities across the organization.
• Instills a culture of continuous improvement, testing, and deployment of new capabilities for the business.
• Develop innovative analytical practices to build and sustain competitive advantage.
• Access appropriate information through a variety of methods and channels
• Summarize the data in a much more data storytelling way and to present findings by redefining the raw metrics into actionable insights.
• Capability in applying deeper technical skills and knowledge that is shared across the functional area (e.g., deep knowledge of key data sets, modeling capabilities, etc.)
• Demonstrate a high level of understanding of the points of integration of our work and that of our colleagues.
• Monitors the external environment to stay up to date on leading analytic capabilities, both within and outside of pharma, which can be applied within the organization.

Desirable Skills/Experience:

Experience in brand or commercial analytics within pharmaceuticals, healthcare, or another highly regulated industry.

Proficiency with SQL and either Python or R; hands-on experience with visualization tools such as Power BI or Tableau.

Background in marketing science, including segmentation, targeting, MMM/MTA, CRM analytics, and next-best-action use cases.

Shown experience operationalizing analytics into field force, omnichannel, or marketing platforms.

Track record of working in agile settings dedicated to delivering analytics capabilities at scale.

Strong communication and collaborator engagement skills, with the ability to influence senior decision-makers.

Advanced degree in a quantitative field (e.g., statistics, economics, data science, engineering) is a plus.

When we put unexpected teams in the same room, we unleash 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.

Why AstraZeneca:

Here, your analysis does more than track performance—it accelerates how medicines reach people who need them. You will work shoulder to shoulder with diverse experts across the enterprise, using the latest digital tools and design-led approaches to improve how decisions get made. We bring unexpected teams together to test ideas quickly, take smart risks, and turn insight into action, while valuing kindness alongside ambition. You will be trusted to own outcomes, supported by high-calibre colleagues, and given room to build a standout reputation in a globally respected, science-led company.

Call to Action:

If you want your analytical craft to shape brand choices that matter for patients and the business, step forward and share your story today!

Date Posted

Closing Date

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.