Senior Analyst – Brand Analytics

Job Title : Senior Analyst – Brand Analytics

Career Level : D1

Introduction to role

Are you ready to redefine an industry and change lives? As a Senior Analyst in Brand Analytics, you'll play a pivotal role in driving strategic and operational excellence within the Commercial Organization. This hands-on analytical position requires you to act as a proactive internal consultant for a specific brand team, designing commercial solutions that enable data-driven decisions. You'll coordinate the understanding of various datasets and implement analytical solutions to support business opportunities, customer segmentation, and more. Collaborate closely with Marketing, Medical, Market Access, Sales, Forecasting, and other Commercial Operations partners to transform our ability to develop life-changing medicines.

Accountabilities

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.

Collaborate with the US Sales Force Operations to ensure success of key business processes and coordination on joint initiatives.

Identify and prioritize enhancements and new analytic capabilities. Lead the development, deployment, and embedding of such capabilities across the organization.

Instill 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.

Apply deeper technical skills and knowledge shared across the functional area.

Demonstrate a high level of understanding of the points of integration of our work and that of our colleagues.

Monitor 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.

Exhibit excellent communication skills with a demonstrated track record of effective business partnership as evidenced by material business impact and influencing.

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 advanced methods and statistical procedures on large and disparate datasets.

4+ years of recent experience and proficiency with PySpark, Python, R, SQL.

Working knowledge on platforms like DataBricks.

Working knowledge 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 managing and analyzing a range of large, secondary transactional databases is required.

Statistical analysis and modelling background.

ML a plus.

Statistical Analysis & Modelling : Design of Experiments, Time Series, Regression, Applied Econometrics and Bayesian methods.

Data Mining, Predictive Modelling & Machine Learning algorithms.

Optimization & Simulation.

Desirable Skills / Experience

Strong leadership and interpersonal skills with demonstrated ability to work closely with a significant number of business leaders and cross-functional business partners.

Strong communication and influencing skills with demonstrated ability to develop and effectively present succinct, compelling reviews of independently developed analyses infused with insight and business implications / actions to be considered.

Strategic and critical thinking with the ability to engage, build and maintain credibility with Commercial Leadership Team.

Strong organizational skills and time management; ability to manage diverse range of simultaneous projects.

Knowledge of AZ brand and Science (Oncology in particular).

Experience using Big Data is a plus. Exposure to SPARK is desirable.

Excellent Analytical, Problem Solving ability. Should be able to grasp new concepts quickly.

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

At AstraZeneca, you'll find yourself at a crucial stage in our journey towards becoming a digital and data-led enterprise. Here, we empower our teams to innovate boldly and drive cross-company change that redefines the entire industry. With innovative science combined with leading digital technology platforms, we focus on making a meaningful impact through data analytics, AI, machine learning, and more. In our dynamic environment, there are abundant chances for learning and development as you define your own journey alongside a varied group of minds working inclusively.

Ready to make an impact?

Date Posted

05-Sept-2025

Closing Date