Analyst, Non-US Advanced Analytics & Decision Intelligence

Benefits

Additional Information

Working with Us Challenging. Meaningful. Life-changing. Those aren't words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it. You'll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams. Take your career farther than you thought possible. Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives. Read more: careers.bms.com/working-with-us . Analytics Delivery & AI Enablement 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 Ex-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. Stakeholder Support & Business Understanding Collaborate with Ex-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. Omnichannel & Commercial Analytics 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. Team Collaboration & Learning 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 and training programs. Demonstrate curiosity and initiative in developing analytical and business skills. Technical Execution & Data Handling 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. Skills & Competencies 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. Experience & Qualifications 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. Technical Skills (Preferred) 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. If you come across a role that intrigues you but doesn't perfectly line up with your resume, we encourage you to apply anyway. You could be one step away from work that will transform your life and career. Uniquely Interesting Work, Life-changing Careers With a single vision as inspiring as "Transforming patients' lives through science™ ", every BMS employee plays an integral role in work that goes far beyond ordin