Sr. Specialist, Analytics Operation
Bristol Myers Squibb
7 months ago
Remote friendly (New Brunswick, NJ)
United States
Operations
Job Summary
- Ensure reliable operations of data assets for stakeholders, providing high-quality, reliable, accessible data to consumers (e.g., analysts and data scientists) in a rapid and continuous fashion.
Key Responsibilities
- Deploy and maintain analytics assets (data pipelines and data models) reliably and efficiently in production.
- Monitor and Troubleshoot: Set up monitoring dashboards and alerts to track performance/health of data pipelines and troubleshoot issues to minimize downtime.
- Enhance Performance and Optimization: Continuously monitor and optimize pipeline performance, efficiency, and resource usage to manage costs and improve scalability.
- Implement CI/CD for Data: Use CI/CD practices to enable rapid, reliable deployment of new data models and features.
- Improve team processes/structures/knowledge: Analyze current states, provide strong recommendations, and execute complex solutions to completion.
Qualifications
- Bachelor’s or master’s degree in computer science, Engineering, Data Science, or related field.
- 1–2 years of experience in data engineering, full stack development, or cloud engineering.
- Experience in data engineering, DevOps, or DataOps (preferred).
- Ability to work independently and manage a cross-functional team (results/outcomes).
Required/Preferred Skills
- Strong programming/scripting skills, particularly Python and SQL.
- AWS experience and services (e.g., S3, Glue, Lambda) (plus).
- Git version control proficiency.
- CI/CD tools familiarity (e.g., Jenkins, GitLab CI/CD).
Key Competencies
- Problem-solving and troubleshooting.
- Collaboration and communication for cross-functional work.
- Adaptability and eagerness to learn new tools/technologies.
- Attention to detail: data quality, security, and documentation.
- Proactivity and self-motivation to drive improvements.
Benefits (explicitly listed)
- Health Coverage (medical, pharmacy, dental, vision)
- Wellbeing Support (Well-Being Account, Living Life Better, EAP)
- Financial Well-being and Protection (401(k), disability, life and accident insurance, supplemental health, business travel protection, personal liability protection, identity theft benefit, legal and survivor support)
- Paid Time Off (details vary by employee group)
Application/Contact Instructions (explicitly stated)
- If you require reasonable accommodations during the application process, contact adastaffingsupport@bms.com.
- Ensure reliable operations of data assets for stakeholders, providing high-quality, reliable, accessible data to consumers (e.g., analysts and data scientists) in a rapid and continuous fashion.
Key Responsibilities
- Deploy and maintain analytics assets (data pipelines and data models) reliably and efficiently in production.
- Monitor and Troubleshoot: Set up monitoring dashboards and alerts to track performance/health of data pipelines and troubleshoot issues to minimize downtime.
- Enhance Performance and Optimization: Continuously monitor and optimize pipeline performance, efficiency, and resource usage to manage costs and improve scalability.
- Implement CI/CD for Data: Use CI/CD practices to enable rapid, reliable deployment of new data models and features.
- Improve team processes/structures/knowledge: Analyze current states, provide strong recommendations, and execute complex solutions to completion.
Qualifications
- Bachelor’s or master’s degree in computer science, Engineering, Data Science, or related field.
- 1–2 years of experience in data engineering, full stack development, or cloud engineering.
- Experience in data engineering, DevOps, or DataOps (preferred).
- Ability to work independently and manage a cross-functional team (results/outcomes).
Required/Preferred Skills
- Strong programming/scripting skills, particularly Python and SQL.
- AWS experience and services (e.g., S3, Glue, Lambda) (plus).
- Git version control proficiency.
- CI/CD tools familiarity (e.g., Jenkins, GitLab CI/CD).
Key Competencies
- Problem-solving and troubleshooting.
- Collaboration and communication for cross-functional work.
- Adaptability and eagerness to learn new tools/technologies.
- Attention to detail: data quality, security, and documentation.
- Proactivity and self-motivation to drive improvements.
Benefits (explicitly listed)
- Health Coverage (medical, pharmacy, dental, vision)
- Wellbeing Support (Well-Being Account, Living Life Better, EAP)
- Financial Well-being and Protection (401(k), disability, life and accident insurance, supplemental health, business travel protection, personal liability protection, identity theft benefit, legal and survivor support)
- Paid Time Off (details vary by employee group)
Application/Contact Instructions (explicitly stated)
- If you require reasonable accommodations during the application process, contact adastaffingsupport@bms.com.