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Tier-1 brand, metro Hyderabad location, and broad analytics skill requirements increase candidate competition.
High because HCP/patient omnichannel and pharma measurement expertise strongly biases industry fit.
High due to explicit 10+ years, mandatory analytics methods, programming, and cloud experience.
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Develop and execute measurement frameworks and advanced analytics to assess and optimize omnichannel customer engagement effectiveness across multiple channels including field, CRM, paid media, and digital.
Design and conduct experimentation such as A/B tests and lift studies to evaluate engagement strategies, driving actionable insights for campaign planning and optimization.
Mentor junior analysts, establish high analytical standards, and develop reusable frameworks to scale measurement capabilities across brands.
Bachelor’s degree in Data Science, Analytics, Statistics, Economics, or a related field.
10+ years of hands-on experience in advanced analytics or data science focused on omnichannel engagement measurement across CRM, paid media, field, owned digital, and third-party ecosystems.
Proficiency in Python or R for analytical modeling and data transformation; experience with cloud analytics environments like Databricks or Snowflake.
Deep expertise in attribution and impact measurement methods (Markov chain, multi-touch attribution, media mix modeling, causal inference).
Experienced leader capable of translating complex analytical outputs into clear business insights and actionable engagement optimization recommendations within commercial marketing environments.
Strong background in advanced analytics, experimentation design, and attribution modeling tailored to healthcare professional (HCP) and patient engagement journeys.
Proven ability to mentor analytics teams and drive adoption of analytical rigor and scalable measurement frameworks across cross-functional teams.