Analyst - Commercial Pharma Analytics

Overview

Serve as an internal commercial analytics consultant to a specific brand team, delivering analytics that guide brand strategy, resourcing and measurable business impact.

What you'll do

• Provide rigorous analytics to guide brand strategy and resourcing decisions, with a focus on customer-facing model leadership and measurable business impact.
• Build and implement HCP and patient grouping and selection approaches, and identify high-value opportunities to improve coverage, conversion and growth.
• Build, test and operationalize predictive and prescriptive models using syndicated and custom, primary and secondary data (including IQVIA).
• Lead smart business experiments (test and learn), market analysis simulations and patient movement modelling.
• Access and integrate large transactional datasets via DataBricks, PySpark, Python, R and SQL, ensuring quality and reproducibility.
• Summarize and present findings through clear narratives, visualizations and concise recommendations for senior collaborators.
• Identify, prioritize, lead the development and deployment of new analytic capabilities, and instill a culture of continuous improvement.
• Build trusted relationships with cross-functional partners and translate technical solutions into business value.
• Monitor the external analytics landscape within and beyond pharma, and evaluate and adapt leading methods and technologies.

What you'll need

• A quantitative Bachelor's degree or equivalent experience from an accredited college or university, in Engineering, Operations Research, Management Science, Economics, Statistics, Applied Math, Computer Science, Data Science or a related field.
• 3+ years of experience in application of advanced methods and statistical procedures on large and disparate datasets.
• 3+ years of recent experience and proficiency with PySpark, Python, R and SQL.
• Working knowledge of data visualization such as PowerBI, MicroStrategy, Tableau, Qlikview, D3js or similar tools.
• Working knowledge of platforms like DataBricks.
• Experience with IQVIA data sets.
• Excel and PowerPoint skills.
• Expertise in managing and analyzing a range of large, transactional databases.
• Ability to derive, summarize and communicate insights from analyses.
• Organization and time management skills.

Nice to have

• An advanced degree (Master's, MBA or PhD).
• Statistical analysis and modelling background.
• Machine learning experience.
• Strong leadership and interpersonal skills, with ability to work collaboratively with business leaders and cross-functional partners.
• Strong communication and influencing skills, with ability to present succinct, compelling reviews infused with business implications.
• Strategic and critical thinking, with ability to build credibility with Commercial Leadership Team.
• Knowledge of AZ brand and Science (Oncology in particular).
• Experience using Big Data.
• Exposure to SPARK.
• Excellent analytical and problem-solving ability.
• Ability to grasp new concepts quickly.

Details

• Location: Chennai, Tamil Nādu, India.
• Works on average a minimum of three days per week from the office.