Associate Data Analyst - Brand Analytics

Job Title: Associate Data Analyst - Brand Analytics
Introduction to role:

GCL: C2

Are you ready to turn customer insight into decisions that move faster and improve outcomes for patients? Do you see yourself translating complex data into compelling stories that shape brand strategy and resource allocation across a global enterprise?

In this role, you will join a collaborative analytics community powering smarter, quicker decisions through predictive analytics, automation, and data modelling. You will partner closely with customer-facing leaders to build and refine models, challenge assumptions, and bring local insights to the forefront of strategic choices. Your work will strengthen how our teams operate day-to-day while enabling bold, enterprise-level progress.

Accountabilities:

Customer Insight Leadership: Champion the use of local customer insight to influence brand strategy and resourcing, ensuring analytics directly drives decisions.

Stakeholder Partnership: Build trusted relationships, communicate clearly, and influence outcomes to create material business impact.

Analytics BAU Delivery: Support, maintain, and deliver analytics reports with tight turnaround times and quality aligned to agreed SLAs.

Method Innovation: Continuously evaluate and test new quantitative analysis methods and technologies, adopting those that deliver value.

Customer Data Mastery: Develop a deep understanding of internal customers’ data and analytical needs with a focus on customer-facing model leadership.

Capability Deployment: Support the development and deployment of analytical capabilities across the organization to scale impact.

Continuous Improvement: Instill a culture of experimentation, learning, and rapid deployment of new capabilities that enhance performance.

Competitive Advantage: Develop innovative analytical practices that create and sustain differentiation in the market.

Information Access: Use a variety of tools and sources to access and synthesize the right information efficiently.

Findings Synthesis: Summarize and present insights through appropriate channels, tailoring messages to different audiences and decision points.

Technical Fluency: Apply deeper technical skills and shared knowledge across the function, including expertise in key data sets and modelling approaches.

Integration Awareness: Demonstrate strong understanding of integration points between analytics work and adjacent teams to accelerate collective outcomes.

External Scanning: Monitor leading analytic capabilities within and beyond pharma and identify opportunities to apply them to our context.

Essential Skills/Experience:

In addition to analytical skills, should have excellent communication skills with a demonstrated track record of effective business partnership as demonstrated by material business impact and influencing.

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.

Champion the use of local customer insight in strategic and resourcing decisions across the business.

Support, maintain and deliver Analytics Reports in BAU to the respective stakeholders.

Maintain tight Turn Around Times and at most quality as per agreed SLA.

Can support the development and deployment 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 create and sustain competitive advantage.

Access appropriate information via a variety of tools and sources

Summarize and present findings through various communication channels.

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 with SQL and one or more of Python or R for data analysis, modelling, and reproducible workflows.

Proficiency in BI and data visualization tools (e.g., Power BI, Tableau) with a strong storytelling approach.

Hands-on experience in statistical modelling, forecasting, segmentation, and experiment design (A/B testing).

Familiarity with cloud data platforms and modern data stacks (e.g., Azure, AWS, Databricks, Snowflake).

Knowledge of data quality practices, SLA management, and agile delivery methods.

Strong documentation, peer review, and communication habits across written, visual, and verbal formats.

Awareness of compliance, privacy, and ethical data use in a regulated environment; pharma or healthcare exposure is a plus.

Comfort operating in fast-paced settings, prioritizing effectively, and making sound decisions with incomplete information.

Use of version control and collaboration tools (e.g., Git, Jira, Confluence) to streamline team development.

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 curiosity and initiative translate into real-world impact. You will collaborate with diverse experts who bring unexpected perspectives together to spark bold thinking, using advanced analytics and disruptive technologies to reimagine how we work. As part of a global network with momentum, you will have space to take smart risks, make quick decisions, and learn continuously—valuing kindness alongside ambition—so your contributions not only accelerate the business but ultimately help deliver better outcomes for patients.

Call to Action:

If you’re ready to turn insight into action and help shape data-driven brand decisions that move at pace, apply to join us and build the impact you want to see!

Date Posted

21-Jan-2026

Closing Date

23-Jan-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.

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 authorisation and employment eligibility verification requirements.