Analyst Data Strategy and Analytics

Requirements

• A Bachelor's or Master's degree (preferred) in a relevant field, such as Data Science, AI, Engineering or a related discipline
• 1-2 years of experience in a Data Analyst or similar role, preferably in healthcare, pharma, or related industry.
• Exposure to US commercial real‑world data such as prescriptions, claims, or sales datasets. Good analytical and problem-solving skills with ability to analyze data and support actionable insights.
• Proficiency in SQL required & working knowledge basic Python for data extraction and analysis.
• Exposure to BI tools such as Power BI or Tableau for creating reports and dashboards.
• Hands on experience with data platforms such as Databricks, Redshift, or Snowflake is a plus.
• 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
• On-site Protocol
• BMS has an occupancy structure that determines where an employee is required to conduct their work. This structure includes site-essential, site-by-design, field-based and remote-by-design jobs. The occupancy type that you are assigned is determined by the nature and responsibilities of your role:
• Site-essential roles require 100% of shifts onsite at your assigned facility. Site-by-design roles may be

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 . Roles & Responsibilities Own and maintain business rules for commercial and digital datasets, ensuring accuracy, consistency, and alignment with organizational data standards Collaborate with cross-functional teams including data engineering, forecasting, and therapeutic area stakeholders to understand business requirements and support the design of data and analytics solutions Support the design and development of new data products from scratch, enabling scalable and reusable solutions across the Commercialization Support identification, evaluation, and onboarding of US commercial and healthcare datasets (e.g., claims, sales, payer datasets). Apply SQL, Python, and analytical techniques to explore pharma datasets, support use case development, generate insights, and develop and maintain dashboards and reporting solutions (e.g., Power BI, Tableau) for brand performance tracking and analytics delivery. Collaborate with data ingestion and engineering teams to ensure proper integration of datasets (e.g., IQVIA, Symphony), including basic data validation and quality checks. Support automation and innovation efforts by leveraging scalable frameworks and GenAI tools to improve efficiency in analytics delivery. Support data governance responsibilities across commercialization and digital datasets, including documentation, stewardship, and compliance Contribute to enterprise data migration efforts to the Databricks platform, supporting UAT activities and validating business rules post-migration Skills and Competencies Strong understanding of healthcare and US commercial data sources (e.g., claims, sales, payer datasets) and their application in analytics use cases Proficiency in data pre-processing, cleaning and transformation techniques to ensure data quality and compatibility for analysis Strong analytical and problem-solving skills with ability to derive meaningful insights from complex datasets Solid communication and presentation skills to effectively convey complex concepts and findings Ability to work collaboratively in cross-functional teams and manage multiple projects simultaneously Strong attention to detail and accuracy in data analysis and interpretation

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