Sr. Specialist, Analytics Operation

Bristol Myers SquibbNew Brunswick, NJ

About The Position

As an Analytical Operations – Sr Specialist at BMS, your work will ensure the reliable operations of our data assets to stakeholders, ensuring high-quality, reliable, and accessible data to consumers—such as analysts and data scientists—in a rapid and continuous fashion.

Requirements

  • Bachelor’s or master’s degree in computer science, Engineering, Data Science, or a related field.
  • 1-2 years of experience in data engineering, full stack development or cloud engineering.
  • Works independently.
  • Responsible for the direct management of a cross functional team including results/outcomes.
  • Strong programming and scripting skills, particularly in Python and SQL.
  • Proficiency with version control systems, specifically Git.
  • Problem-Solving: Strong analytical and troubleshooting skills with the ability to troubleshoot data challenges.
  • Collaboration: Excellent communication and teamwork skills to facilitate cross-functional collaboration.
  • Adaptability: Eagerness to learn and adopt new tools and technologies in a rapidly evolving field.
  • Attention to Detail: Commitment to data quality, security, and process documentation.
  • Proactivity: Self-motivated and able to identify areas for improvement and drive initiatives autonomously.

Nice To Haves

  • Experience in data engineering, DevOps, or DataOps is preferred.
  • Experience with cloud platforms such as AWS and their data services (e.g., AWS S3, Glue, Lambda) will be a plus.
  • Familiarity with CI/CD tools such as Jenkins, GitLab CI/CD.

Responsibilities

  • Ensure that analytics assets (data pipelines and data models) are reliably and efficiently deployed and maintained in production.
  • Monitor and Troubleshoot: Set up monitoring dashboards and alerts to proactively track the performance and health of data pipelines, and troubleshoot issues to minimize downtime.
  • Enhance Performance and Optimization: Continuously monitor and optimize data pipeline performance, efficiency, and resource usage to manage costs and improve scalability
  • Implement CI/CD for Data: Apply continuous integration and continuous deployment (CI/CD) practices to data pipelines, allowing for the rapid, reliable deployment of new data models and features.
  • Demonstrate a focus on improving processes, structures and knowledge within the team.
  • Lead in analyzing current states, deliver strong recommendations in understanding complexity in the environment, and the ability to execute to bring complex solutions to completion.

Benefits

  • Health Coverage: Medical, pharmacy, dental, and vision care.
  • Wellbeing Support: Programs such as BMS Well-Being Account, BMS Living Life Better, and Employee Assistance Programs (EAP).
  • Financial Well-being and Protection: 401(k) plan, short- and long-term disability, life insurance, accident insurance, supplemental health insurance, business travel protection, personal liability protection, identity theft benefit, legal support, and survivor support.
  • Work-life benefits include: Paid Time Off US Exempt Employees: flexible time off (unlimited, with manager approval, 11 paid national holidays (not applicable to employees in Phoenix, AZ, Puerto Rico or Rayzebio employees) Phoenix, AZ, Puerto Rico and Rayzebio Exempt, Non-Exempt, Hourly Employees: 160 hours annual paid vacation for new hires with manager approval, 11 national holidays, and 3 optional holidays Based on eligibility, additional time off for employees may include unlimited paid sick time, up to 2 paid volunteer days per year, summer hours flexibility, leaves of absence for medical, personal, parental, caregiver, bereavement, and military needs and an annual Global Shutdown between Christmas and New Years Day. All global employees full and part-time who are actively employed at and paid directly by BMS at the end of the calendar year are eligible to take advantage of the Global Shutdown.

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What This Job Offers

Job Type

Full-time

Career Level

Mid Level

Number of Employees

5,001-10,000 employees

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