Full Time

Analyst - Data & Process Management

Sanofi
Hyderabad
Competitive Salary
Posted 03/02/2026

About the Role

Roles & Responsibilities:
• Ensure timely and accurate delivery of commercial and pharmaceutical datasets by collaborating with stakeholders
• Maintain data availability, quality, completeness, and consistency across systems and downstream teams
• Identify data gaps and develop SOPs for data management processes and enhancements
• Support forecasting, targeting, call planning, field reporting, incentive compensation, and market mix activities
• Monitor data quality reports, investigate discrepancies, and maintain business rules and metadata
• Provide first-level support for sales, MDM, and omnichannel data queries
• Develop analytical tools, automation processes, and reporting capabilities
• Refresh periodic reports and ensure compliance with data governance and operational standards
• Collaborate with global teams and vendors to ensure efficient end-to-end project delivery

Qualification:
• Bachelor’s degree in Engineering, Statistics, Life Sciences, Business Analytics, Management, or related field
• Advanced degree (MBA/Masters/PhD) preferred

Experience:
• 2–3+ years of experience in pharmaceutical commercial datasets and data management
• Experience working with syndicated pharma data sources preferred

Skills:
• Knowledge of pharmaceutical data sources such as IQVIA, Veeva, OneKey, Xponent, or similar
• Hands-on experience with AWS, Snowflake, SQL, Python, Informatica, or Dataiku
• Understanding of data governance, stewardship, and data quality frameworks
• Proficiency in Excel, Power BI, VBA, or Alteryx
• Strong analytical, communication, and stakeholder management skills
• Ability to translate business requirements into data solutions

About the Organization:
Sanofi is a global healthcare company dedicated to improving patient outcomes through innovative medicines, vaccines, and digital healthcare solutions. The organization leverages advanced analytics, technology, and data-driven insights to transform commercialization processes and drive better healthcare decisions worldwide.

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