National Guard Employment Network
Automation Data Analytics - Devens, MA
National Guard Employment Network, Devens, Massachusetts, us, 01434
Job Description ATTENTION MILITARY AFFILIATED JOB SEEKERS - Our organization works with partner companies to source qualified talent for their open roles. The following position is available to Veterans, Transitioning Military, National Guard and Reserve Members, Military Spouses, Wounded Warriors, and their Caregivers. If you have the required skill set, education requirements, and experience, please click the submit button and follow the next steps. Unless specifically stated otherwise, this role is "On-Site" at the location detailed in the job post. 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 rich in diversity. 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. Position Summary The Automation Controls Systems team is looking for a Data Analytics engineer to provide data engineering and analytics solutions for biologics manufacturing sites at Bristol Myers Squibb. The Automation Data Analytics engineer will work with stakeholders throughout manufacturing to develop and maintain analytics assets that aim to deliver more medicines to more patients faster. The position requires an individual who is passionate about the intersection of data intelligence and manufacturing with a desire to push the boundaries of possibility. Key Responsibilities 24x7 system administration support for Devens AVEVA PI system and other automation platforms essential to manufacturing. Hands on development and implementation of analytics tools based on complex user requirements across multiple platforms and functional areas with limited guidance. Perform troubleshooting utilizing critical thinking skills and techniques such as root cause analysis to resolve incidents in a timely fashion with minimal guidance. Responsible for the execution and creation, review, and approval of documentation associated with procedure-driven compliance activities such as periodic reviews and on-site application recovery (OAR). Develop an understanding of others' views and build rapport with stakeholders. Demonstrate awareness of functional business context and impact of data analytics efforts. Use these to positive effect. Develop and maintain system training curricula and related materials. Execute on training plans for end users and administrators leading sessions on platform use. Additional Qualifications/Responsibilities Qualifications & Experience Bachelor's degree in computer science or engineering with 2-4 years of experience. At least two years of system administration experience, preferably with AVEVA PI. At least one year of experience within a manufacturing environment, preferably within the pharmaceutical industry. Working experience with Microsoft Windows Server in a domain setting, technical knowledge of network configuration, and competency with navigating complex virtualized computing environments. Working experience administering relational databases with RDBMS tools such as Microsoft SQL Server Management Studio. Basic to intermediate competency with SQL. Track record of delivering on small, well-scoped technical projects and tasks. Ability to manage small projects with minimal guidance. Explains own work clearly and confidently. Familiarity with common manufacturing systems such as DCS, MES, and CMMS a plus. Experience with data flows and interfaces associated with bench-top instrumentation, IIoT architectures, and system integration protocols a plus. A desire to transform patient's lives through science.