Analyst - US Commercialization Decision Intelligence & MMx Solutions

• Support the development and delivery of analytical solutions under the guidance of senior analysts and team leads.
• Apply foundational analytics, decision science, and AI/ML techniques to support US Commercial initiatives across brand strategy, omnichannel engagement, and resource allocation.
• Translate well-defined business questions into analytical tasks, execute analyses, and summarize findings.
• Ensure accuracy, quality, and adherence to analytical best practices in all deliverables.

• Collaborate with US Commercial stakeholders, Global Analytics, OCx, Marketing, and BIT to understand business context and analytical requirements.
• Support preparation of analytical outputs, presentations, and dashboards for stakeholder discussions.
• Clearly communicate results, assumptions, and limitations with guidance from senior team members.
• Incorporate stakeholder feedback to refine analyses and outputs.

• Execute analytics supporting personal and non-personal promotion channels, including field force, email, web, paid media, social, and third-party platforms.
• Support development and tracking of performance metrics related to reach, engagement, and effectiveness.
• Assist in test-and-learn initiatives, A/B tests, and basic quasi-experimental analyses.
• Identify trends, anomalies, and opportunities in data and escalate insights to senior team members.

• Work collaboratively within project teams, contributing to shared goals and timelines.
• Learn and adopt standard analytical frameworks, tools, and coding best practices used by the team.
• Participate in knowledge-sharing sessions, training programs, and peer reviews.
• Demonstrate curiosity and initiative in developing analytical and business skills.

• Build and maintain datasets, basic models, dashboards, and recurring reports.
• Perform data validation, quality checks, and documentation of analytical processes.
• Work with data engineering and BIT teams to understand data structures and resolve data issues.
• Follow established governance, compliance, and documentation standards.

• Strong analytical mindset with attention to detail and data quality.
• Good written and verbal communication skills, with the ability to explain analyses in simple terms.
• Ability to manage assigned tasks effectively and meet deadlines.
• Willingness to learn new tools, techniques, and business concepts.
• Collaborative and proactive team player with a positive attitude.
• Basic problem-solving skills and ability to apply structured thinking.

• BA/BS required; degrees in life sciences, computer science, mathematics, statistics, data science, or engineering preferred.
• 1-3 years of professional experience in analytics, data analysis, decision science, or related roles.
• Experience working with structured datasets and performing quantitative analyses.
• Exposure to commercial analytics, marketing analytics, or healthcare/pharmaceutical analytics is a plus.
• Interest in applying data, analytics, and AI to solve real-world business problems.

• Hands-on experience with Python and/or R for data analysis and basic modelling.
• Familiarity with statistical concepts and introductory machine learning techniques.
• Experience with data visualization and reporting tools (e.g., R Shiny, Dash, Tableau, Power BI, or similar).
• Exposure to collaborative analytics environments (e.g., Databricks, Git, SharePoint).
• Basic understanding of omnichannel, digital marketing, or commercial data sources.

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. Learn more at https://careers.bms.com/ways-of-working.