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 adaptable 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