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 .

SUMMARY:

The IT - Data & Reporting Analyst is responsible for gathering, analyzing, and transforming data into actionable insights that support decision-making across the organization. This role manages data collection processes, builds and maintains reports and dashboards, ensures data integrity, and collaborates with stakeholders to deliver predictive and trend-based analytics to key stakeholders.
This role will also explore the application of AI and machine learning to enhance reporting, automate insights, and enable data-driven forecasting.
Success in this role requires strong analytical skills, advanced proficiency in data visualization and reporting tools, and the ability to translate complex technical data into clear, meaningful narratives for both technical and non-technical audiences.

Data Management & Advanced Analytics:

• Collect, clean, and validate data from multiple sources (including cloud and on-premise databases).
• Build, maintain, and optimize automated data pipelines for recurring analyses and reporting.
• Use tools such as Python, SQL, and/or PySpark to perform advanced analysis, including forecasting, trend detection, and statistical modeling.
• Apply machine learning and AI techniques to support forecasting, anomaly detection, and advanced data modeling.
• Explore the use of generative AI for automating insight summaries, report narratives, or data categorization.
• Ensure data integrity through rigorous QC processes.

Reporting & Visualization:

• Develop and maintain interactive dashboards and visualizations in tools like Power BI, Tableau, and Python visualization libraries (Matplotlib, Seaborn, etc.).
• Automate recurring reports to streamline delivery and reduce manual workload.
• Present analysis results in an actionable, business-focused format.

Collaboration & Leadership:

• Partner with business units to understand analytical needs and deliver tailored solutions.
• Mentor junior analysts and share best practices in data handling and analysis.
• Work closely with IT teams to integrate new data sources and optimize existing infrastructure.

System Integration & Optimization:

• Collaborate with technical teams to leverage tools such as Amazon Redshift, AWS S3, and ETL frameworks for scalable solutions.
• Recommend improvements to data architecture for speed, scalability, and reliability.

Required Qualifications:

• Bachelor’s degree in Data Analytics, Information Systems, Computer Science, or related field (or equivalent work experience).
• 4+ years of hands-on experience in data analytics or business intelligence roles.
• Strong Python skills for data analysis and automation.
• Proficiency with SQL for complex querying and data manipulation.
• Experience with BI tools such as Power BI and Tableau.
• Familiarity with ETL processes, data pipeline development, and QC automation.
• Strong understanding of relational and cloud database structures.

Preferred Experience:

• Experience with PySpark, AWS Redshift, and AWS S3.
• Machine learning model development for forecasting, classification, or NLP.
• Experience with enterprise systems (e.g., Oracle EBS) and Jira project tracking. Knowledge of data governance best practices.
• Experience with machine learning frameworks (e.g., Scikit-learn, TensorFlow, PyTorch) and AI-based analytics tools.
• Familiarity with natural language processing (NLP) for text data analysis.

Travel:

• Travel

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.

Please refer the Job description for details