EG-080 - Analyst, Field Reporting

Overview

Analyst, Field Reporting (EG-80) supports US commercial and field analytics across multiple therapeutic areas, delivering field reporting insights and strategic guidance to optimize field reporting solutions.

What you'll do

• Conduct analysis and interpretation of complex data sets to derive insights and recommendations that enhance understanding of business performance and drive growth.
• Perform statistical analyses, data mining and predictive modelling to uncover trends and drivers of performance.
• Collaborate with stakeholders (US field reporting partners, sales Ops team, field analytics team and field leadership) to identify business problems and create and conduct analytic plans to address them.
• Deliver projects including brand commercial data, field analytics, execution and national, regional and level analysis, and ad-hoc analytics based on secondary data to support US market commercial, field analytics and reporting.
• Prepare reports, dashboards and presentations to communicate findings, insights and recommendations to stakeholders.
• Collaborate with IT teams to develop and enhance data infrastructure, data pipelines and analytical tools for efficient data collection, processing and analysis.
• Stay up to date with industry trends (US commercial and healthcare landscape), best practices and emerging technologies.
• Independently deliver high-quality field reporting and analytical solutions and AI-enabled insights within agreed timelines, under the guidance of leadership.
• Translate business questions into analytical approaches, execute analyses and synthesize findings into actionable recommendations.
• Ensure adherence to analytical best practices, quality standards and documentation requirements.
• Partner closely with US Commercial stakeholders, Field Sales leadership, Brand team, CASA and CBIT to understand business needs and contribute to solution design.
• Act as a trusted analytical partner by clearly explaining insights, assumptions and limitations, and supporting decision-making discussions.
• Support prioritization of business requests by providing effort estimates, impact assessments and analytical recommendations.
• Contribute to stakeholder presentations, readouts and working sessions with clear, structured storytelling.
• Mentor junior analysts through informal coaching, work reviews and knowledge sharing.
• Contribute to team capability building by sharing best practices, reusable assets and analytical frameworks.
• Collaborate effectively with cross-functional teams (Commercial, Analytics, IT, Operations) to ensure consistent and scalable delivery.
• Build and maintain analytical assets including datasets, models and automation workflows.
• Work closely with BIT and data engineering teams to troubleshoot data issues and ensure reliable, timely data availability.
• Ensure analytical outputs are reproducible, well-documented and aligned with governance and compliance standards.

What you'll need

• BTech/BS required.
• 1-3 years in pharmaceutical Field Reporting, Field Force Effectiveness, GTM analytics, execution vs. performance analysis, or territory alignment.
• Strong written and verbal communication skills with the ability to translate complex analytics into clear business insights.
• Proficiency in statistical analysis techniques and their application to US commercial business problems.
• Strong project management skills and the ability to work independently or as part of a team.
• Strong communication skills with the ability to present complex information to non-technical stakeholders in a clear manner.
• Strong business acumen and strategic thinking, with the ability to translate analytical findings into actionable insights and recommendations.
• Experience working with US healthcare datasets (e.g. IQVIA/SHS National, Subnational, Patient Claims, medical policy and formulary data), data processing and visualization tools, and statistical software packages (e.g. SQL, R, Python).
• Experience embedding AI analytics platforms into Field CRM workflows with enterprise-wide adoption.
• Good knowledge of programming and data science tools (Python, R), machine learning frameworks (scikit-learn, PyTorch), large-scale analytics environments, visualization platforms and workflow automation.
• Proven track record of delivering data-driven insights and recommendations to senior stakeholders.

Nice to have

• Advanced degree, with special consideration for degrees in life/physical sciences, applied sciences (computer science, mathematics, data science) or engineering.
• Experience within biopharma or pharmaceuticals.
• Hands-on experience with Python and/or R for data analysis, statistical modelling and ML pipeline development.
• Experience with SQL and reporting tools (Power BI or similar).
• Exposure to collaborative analytics environments (Databricks, Git, SharePoint, Domino, Snowflake).
• Understanding of LLM frameworks, prompt engineering and RAG pipeline design for enterprise applications.

Details

• Location: Hyderabad, Telangana, India.