Location Bengaluru Karnataka India Job ID R-232237 Date posted 23 07 2025 Job Title Associate Career Level - C2 Introduction to role Are you ready to disrupt an industry and change lives As an Associate you will be at the forefront of GCC s Sampling Allocation Service developing and implementing analytical programs that optimize sampling distributions for AstraZeneca s branded products This role is both managerial and hands-on requiring proactive consultation with brand team collaborators and guiding the internal GCC Sampling team to ensure deliverables meet specifications You ll work with brand teams to understand rules requirements and sampling strategies applying your proficiency across multiple commercial datasets for proper implementation Your efforts will feed into the sample ordering and distribution system directly impacting our ability to develop life-changing medicines Accountabilities In this dynamic role you ll bring to bear your strong analytical skills and excellent communication abilities to forge effective business partnerships that drive tangible business impact You ll continuously evaluate new quantitative analysis methods and technologies manage sample allocation priorities across brands and therapeutic areas allocate resources based on demand liaise with AZ Sampling Stakeholders and pull through analytics and coding standard methodologies Your understanding of AZ core therapy areas and familiarity with core functions within AZ will be crucial as you lead a talented team 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 3 years of experience in application of advanced methods and statistical procedures on large and disparate datasets specifically Data Mining Predictive Modelling algorithms Optimisation Simulation 2 years of recent experience and proficiency with Python R 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 Working knowledge of data visualisation - PowerBI VBA or similar tools - Experience in MS Office products - PowerApps 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 managing and analysing a range of large secondary transactional databases is required Statistical analysis and modelling background ML a plus 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 visualisation methods and tools Ability to derive summarise and communicate insights from analyses Organisation and time management skills Desirable Skills Experience Solid 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 organisational 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 Should have 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 our work has a direct impact on patients by transforming our ability to develop life-changing medicines We empower the business to perform at its peak by combining brand new science with leading digital technology platforms and data Our dynamic environment offers countless opportunities to learn and grow through hackathons exploring new technologies and transforming roles forever With a diversity of expertise unique to AstraZeneca you ll dive deep into groundbreaking technology while broadening your understanding of our wider work Ready to make a meaningful impact Apply now to join our team Date Posted 24-Jul-2025Closing Date 30-Jul-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

📌 Associate Bengaluru, Karnataka, India
🏢 AstraZeneca
📍 Karnataka