Associate - Sample Allocation

Job Title: Associate - Sample Allocation

GCL: C2

Introduction to role

Are you ready to dive into the world of data analytics and make a tangible impact on AstraZeneca's promotional strategies? We are looking for a diligent and analytical individual to join our Sample Allocation Analytics team as a Data Analyst. In this role, you'll analyze and interpret field data to provide valuable business insights and recommendations, optimizing sampling distributions for pharmaceutical field representatives across AstraZeneca’s brands. Your expertise in AWS Databricks, Python/PySpark, Power Platform, and sophisticated Excel will be crucial as you advise brand collaborators and guide the GCS Sampling team to ensure results meet specifications. Collaborate with brand teams to interpret sampling rules and lead all aspects of their implementation across commercial datasets, supporting sample ordering and distribution processes. If you have strong analytical skills, excellent communication abilities, and a consistent track record of effective business partnerships, we want you on our team!

Accountabilities

• Lead sample allocation priorities across brands and Therapeutic Areas.

• Liaise with AZ Sampling Stakeholders.

• Apply advanced analytics to generate actionable business recommendations, while consistently coding standard methodologies to ensure quality and maintainability of solutions.

• Understand AZ core therapy areas and essential functions within AZ.

• Familiarity with core analytical methodologies, processes, and protocols.

Essential Skills/Experience

• Quantitative bachelor’s degree from an accredited college or university is required in one of the following related fields: Engineering, Operations Research, Management Science, Economics, Statistics, Applied Math, Computer Science or Data Science.

• More than 2 years working within Pharmaceutical / Biotech / Healthcare analytics or secondary data analysis.

• 3+ years of experience in application of advanced methods and statistical procedures on large and disparate datasets, specifically:

• Data Mining, Predictive Modelling algorithms.

• Optimization & Simulation.

• 2+ years of recent experience and proficiency with Python/PySpark, SQL and big data technology - Hadoop ecosystem (Cloudera distribution - Impala, Hive, Hbase, Spark, MapReduce etc.,).

• Understanding of the Veeva system and Veeva data, Alignment, Personal and Non-personal interactions and channels.

• Solid understanding of data visualization – PowerBI, VBA or similar tools.

• Experience in Microsoft products – Power platforms, Advanced 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.

• Expertise in leading and analyzing a range of large, secondary transactional databases is required.

• Statistical analysis and modelling background.

• Experience with IQVIA datasets as well as sales-related data sets such as targeting and alignment, HCP eligibility (blocking), and call data.

• Experience with data visualization methods and tools.

• Ability to derive, summarize and communicate insights from analyses.

• Skills in organization alongside proficient scheduling and prioritization.

Desirable Skills/Experience

• Strong leadership and interpersonal skills with demonstrated ability to work collaboratively 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 the Commercial Leadership Team.

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

• Knowledge of the AZ brand and science is mandatory.

• 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 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.

At AstraZeneca, you'll be part of a talented global team that powers our enterprise to better serve patients every day. We leverage exciting new technology and digital innovations to accelerate our evolution while strategically improving operations. With an entrepreneurial spirit that encourages creativity and smart risks, we thrive in a fast-paced environment where collaboration is key. As part of our team, you'll have countless opportunities to build an unrivaled reputation while contributing to something bigger—making a difference in patients' lives through science-led initiatives.

Ready to make an impact? Apply now to join our dynamic team!

Date Posted

26-Nov-2025

Closing Date

04-Dec-2025

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.