As a Business Intelligence (BI) Visualization & Reporting Analyst at Bristol Myers Squibb, you will play a specialized role in developing and delivering insightful dashboards, reports, and modular ETL/ELT design with a focus on data quality controls. Your work will involve collaborating with cross-functional teams, gathering requirements, designing visualizations, and ensuring accurate and timely reporting to support data-driven decision-making globally for BMS.

• *Roles & Responsibilities:**
- Design configurable, modular, and parameterized ETL/ELT flows with clear separation of extract/transform/load tasks
- Implement data quality checks using SQL/Python to ensure accuracy, completeness, consistency, timeliness, validity, and uniqueness
- Analyze current data processing steps, recommend efficient alternatives, and contribute to runbooks and data contracts
- Stay updated on data visualization trends, BI tools, ETL/DataOps practices, and reporting methodologies
- Collaborate with stakeholders to gather business requirements and design interactive dashboards and visualizations
- Perform data analysis to uncover insights supporting strategic decision-making and business performance optimization
- Stay informed about emerging trends, technologies, and best practices in data visualization and reporting

• *Skills and Competencies:**
- Working knowledge of data visualization best practices and user experience considerations
- Experience with data analysis, interpretation, and visualization from complex datasets
- Familiarity with data extraction, transformation, loading processes, and data quality management
- Strong SQL fundamentals and basic Python skills for data profiling, transforms, and quality control automation
- Understanding of dimensional modeling and data governance principles
- Solid communication skills for transparent task sharing and collaboration
- Familiarity with BI tools like Power BI, data modeling, SQL, and data manipulation techniques
- Ability to use AI tools for efficiency and accelerated learning

• *Qualifications:**
- Bachelor's or master's degree in Business Analytics, Data Science, Computer Science, or related field
- 0 to 2 years of experience in ETL pipeline, data exploration, QC design, and BI visualization
- Proficiency in BI tools, data modeling, SQL, and Python coding
- Familiarity with AI systems and generative AI skills are a plus

At Bristol Myers Squibb, you will have the opportunity to work in a challenging and meaningful environment that values work-life balance. If you are passionate about transforming patients' lives through science and have a commitment to a career in technology, we encourage you to apply for this role.

• Note: Additional details about the company were not provided in the job description.* As a Business Intelligence (BI) Visualization & Reporting Analyst at Bristol Myers Squibb, you will play a specialized role in developing and delivering insightful dashboards, reports, and modular ETL/ELT design with a focus on data quality controls. Your work will involve collaborating with cross-functional teams, gathering requirements, designing visualizations, and ensuring accurate and timely reporting to support data-driven decision-making globally for BMS.
• *Roles & Responsibilities:**
- Design configurable, modular, and parameterized ETL/ELT flows with clear separation of extract/transform/load tasks
- Implement data quality checks using SQL/Python to ensure accuracy, completeness, consistency, timeliness, validity, and uniqueness
- Analyze current data processing steps, recommend efficient alternatives, and contribute to runbooks and data contracts
- Stay updated on data visualization trends, BI tools, ETL/DataOps practices, and reporting methodologies
- Collaborate with stakeholders to gather business requirements and design interactive dashboards and visualizations
- Perform data analysis to uncover insights supporting strategic decision-making and business performance optimization
- Stay informed about emerging trends, technologies, and best practices in data visualization and reporting

• *Skills and Competencies:**
- Working knowledge of data visualization best practices and user experience considerations
- Experience with data analysis, interpretation, and visualization from complex datasets
- Familiarity with data extraction, transformation, loading processes, and data quality management
- Strong SQL fundamentals and basic Python skills for data profiling, transforms, and quality control automation
- Understanding of dimensional modeling and data governance principles
- Solid communication skills for transparent task sharing and collaboration
- Familiarity with BI tools like Power BI, data modeling, SQL, and data manipulation techniques
- Ability to use AI tools for efficiency and accelerated learning

• *Qualifications:**

- Bachelor's or master's degree in Business Analytics, Data Science, Computer Science, or related field
- 0 to 2 years of experience