EG-080 - Analyst, Field Reporting

Job Summary

This position requires a deep expertise in US Commercial analytics, good understanding of Field analytics and statistical analytical techniques, along with a firm grasp of the US healthcare landscape. The Analyst will play a crucial role in supporting data-driven decision-making processes, generating field insights, and providing strategic guidance to optimize our field reporting solutions. The Analyst will typically be responsible for US field Stakeholder management, supporting multiple therapeutic areas in commercial, field analytics and reporting and will collaborate with cross-functional teams to enhance understanding of business performance and drive growth.

Roles Responsibilities

• Field Reporting and Analytics - Conduct analysis and interpretation of complex data sets to derive meaningful insights and recommendations that enhance our 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 based field reporting partners, sales Ops team, field Analytics team and field Leadership) to identify business problems and create/conduct analytic plans to address those questions.
• Delivers projects including Brands commercial data, field analytics, execution and national, regional, 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 health care landscape), best practices, and emerging technologies.

Analytics Delivery AI Enablement

• Independently deliver high-quality Field reporting 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.

Stakeholder Partnership Strategic Support

• 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.

Team Collaboration Capability Building

• 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

Technical Execution Data Stewardship

• 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.

Skills and Competencies

• Strong written and verbal communication skills with the ability to translate complex analytics into clear business insights.
• Proficiency in statistical analysis techniques and applications of those 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 Qualifications

• BTech/BS required; advanced degree preferred with special consideration for degrees in life/physical sciences, applied sciences (computer science, mathematics, data science), or engineering.
• 1-3 years in pharmaceutical Field Reporting, Field Force Effectiveness, GTM analytics, execution vs. performance analysis, or territory alignment-preferably within biopharma or pharmaceuticals.
• Experience in 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.

Technical Skills (Preferred)

• 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.

We hire for skills and capabilities, not just credentials - if this role excites you, but doesn't perfectly match your resume, we encourage you to apply anyway.

How We Work

Where you work matters - because collaboration, innovation and patient impact happen in many settings. Our roles are structured across four work models: site-essential, site-by-design, field-based and remote-by-design. The model assigned to this role is based on its core responsibilities.