Commercial Excellence (CE) Analyst
Axtria - Ingenious Insights
About the Role
Commercial Excellence (CE) Consultants advise Life Science clients on enhancing sales force effectiveness using AI-powered insights and solutions. CE Associates utilize data, AI-driven analysis, and Life Science Industry knowledge to ensure clients have intelligent strategies for product distribution.
Key Responsibilities
- Support client engagements across Commercial Excellence, including territory alignment, call planning, incentive compensation, and field reporting, using Axtria SalesIQ™.
- Build analyses and models for recommendations. Apply AI/ML to sales force optimization, territory planning, and customer engagement.
- Support CRM workstreams, including requirements, configuration, testing, and reporting.
- Use AI-powered analytics to support sales planning, targeting, incentive programs, and next-best-action recommendations.
- Evaluate AI solutions for business impact and feasibility.
- Apply responsible AI practices to all deliverables.
- Prepare and present analyses, build slides, and present to team and client audiences.
Requirements & Tech Stack
- Working towards a Bachelors/Masters with preference for those studying Business Analytics, Data Science, Economics, Biostatistics, Bioinformatics, and Biomedical Engineering (graduating between 12/2026 & 6/2027).
- Business Acumen: Ability to understand client business operations and connect data/AI work to business outcomes. Life Science and pharma commercial operations knowledge is preferred.
- Agentic AI Fluency: Ability to explain how AI agents work to clients and hands-on experience building or using one.
- Storytelling and Communication: Strong communication skills, comfortable presenting AI concepts and business recommendations to technical and non-technical audiences.
- Problem-solving Mindset and Learning Agility: Adept at solving complex commercial challenges using data and AI.
- Attention to Detail: Comfortable working with large datasets where accuracy is critical.
- AI/ML Knowledge: Understanding of machine learning applications in business strategy and commercial operations.
- AI Tools (preferred): Hands-on experience with AI assistants and coding tools such as Claude, Claude Code, ChatGPT, or Copilot.
- Technical Skills: Strong Excel skills required. Experience in Python and SQL is preferred.
- Must have permanent work authorization in the United States, without the need for visa sponsorship.
Qualifications
- Dedicated team player with a strong work ethic committed to client success.
- Passionate and thrives in a culture of collaboration and learning.
- Committed to continuous improvement, innovation, and empowering others through responsible AI practices.
- Encourages transparency and free communication in a nimble organization.