AstraZeneca

Senior Analyst – Brand Analytics

AstraZeneca

full-time

Posted on:

Origin:  • 🇮🇳 India

Visit company website
✨ AI Apply
Manual Apply

Job Level

Senior

Tech Stack

PySparkPythonSparkSQLTableau

About the role

  • Act as a proactive internal consultant for a specific brand team, designing commercial solutions that enable data-driven decisions
  • Coordinate understanding of various datasets and implement analytical solutions to support business opportunities and customer segmentation
  • Collaborate closely with Marketing, Medical, Market Access, Sales, Forecasting, and other Commercial Operations partners
  • Develop a deep understanding of internal customers' data and analytical needs focusing on customer-facing model leadership
  • Champion the use of local customer insight in strategic and resourcing decisions across the business
  • Collaborate with US Sales Force Operations to ensure success of key business processes and joint initiatives
  • Identify and prioritize enhancements and new analytic capabilities; lead development, deployment, and embedding across the organization
  • Instill a culture of continuous improvement, testing, and deployment of new capabilities
  • Develop innovative analytical practices to create and sustain competitive advantage
  • Access appropriate information via a variety of tools and sources and summarize and present findings
  • Monitor external analytic capabilities and apply relevant methods within the organization
  • Demonstrate high level of integration knowledge and exhibit excellent communication with measurable business impact

Requirements

  • Bachelor’s degree required in Engineering, Operations Research, Management Science, Economics, Statistics, Applied Math, Computer Science or Data Science
  • Advanced degree (Master’s, MBA or PhD) preferred
  • 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
  • Expertise in managing and analyzing a range of large, secondary transactional databases
  • Statistical analysis and modelling background (Design of Experiments, Time Series, Regression, Applied Econometrics, Bayesian methods)
  • Data Mining, Predictive Modelling & Machine Learning algorithms
  • Optimization & Simulation experience
  • ML experience is a plus
  • Strong organization and time management skills
  • Strong leadership, interpersonal, communication and influencing skills
  • Knowledge of AstraZeneca brand and science (Oncology in particular) desirable
  • Exposure to SPARK is desirable