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Thermo Fisher Scientific Sr Data Engineer in Boston, Massachusetts

What Will You Be A Part Of?

When you join us at Thermo Fisher Scientific, you'll be part of a smart, driven team that shares your passion for exploration and discovery. With revenues of $22 billion and the largest investment in R&D in the industry, we give our people the resources and opportunities to make significant contributions to the world.

If you are interested in driving benefit in a global supply chain by enabling centralized data analytics and by partnering with sites and business units across differing technologies and regions, then this is the role for you! You are driven to make opportunities reality and can work with a wide range of people to get collective goals accomplished. Your collaborative and entrepreneurial spirit causes you to dive into challenges with a spirit of confidence and collective competence. You have a strong sense of prioritization and can independently manage projects that deliver the most benefit with the resources available to you.

Reporting into a team in the Supply Chain organization, the Sr. Data Engineer (Data Engineering Business Analyst/Software Development Business Analyst/ Software Requirements Engineer) will be working closely across the entire matrix of divisions and functions. You will be responsible for helping to manage our data analytics team's IT infrastructure to meet top level business objectives and facilitate an environment of efficient administrative operations.

What Will You Do?

Design & Development

  • Build solutions to supply chain challenges and to enable the analytics team to operationalize opportunities.

  • Evaluate, standardize and launch first pass analytical approaches that drive optimization in workflows and metrics to enable our organization to be more productive with their time and efforts.

  • Work within a SQL database to leverage large data sets with extended team to design and leverage canned analytics.

  • Participate in business process design activities to ensure that decision support tools are used effectively in the context of core business processes

Analysis and Reporting

  • Ensure that performance reporting is packaged such that users may cascade from global division to SKU/location to facilitate trended analyses and root cause counter measure actions.

  • Challenge current analytical constructs by benchmarking best-in-class companies and academic research to ensure our supply chain team is applying the most appropriate algorithms in a practical manner to deliver results.

  • Administer the regular reporting of a supply chain data analytics program KPI dashboard, providing management with visibility to key performance metrics throughout the global supply chain organization.

Infrastructure Management

  • Maintain high uptime performance of team servers and applications.

  • Expectation that continuous improvement focuses around user experience and opportunity funnels

  • Assess system performance and aim to maximize ROI

  • Manage IT related projects to expand team system capabilities.

  • Prepare reports for program directors

Training & Development

  • As needed, coach and mentor the supply chain organization about how to most productively utilize existing reports and decision support tools

  • Contribute to large IT projects by educating teammates about the Group's IT infrastructure and the manner in which information is used to inform decision-making processes

  • Understand, master and often teach how to effectively use reporting software tools to analyze data.

  • Develop redundancy in critical skill sets within the infrastructure team as well as in the larger organization to strengthen our business continuity.

How Will You Get Here?

  • Must have working knowledge of Software Development Lifecycle (SDLC), Agile, SWEBOK and/or SCRUM.

  • Must have strong hands on experience with User Guides, User Stories, Process Specifications, Requirement Documents, and/or System Diagrams (UML, ERD, Data Flow Diagram, etc.).

  • Must understand and coach on the difference between Business Requirements vs Software Requirements.

  • 10+ years relative experience.

  • Strong IT experience required

  • Ability to interact with peers worldwide.

  • Strong analytical skills, detail and process oriented.

  • Effective writing skills.

  • Superior communicative skills.

  • Good follow-up skills.

  • Mastery of Excel (advanced coding level) preferred.

  • Working development knowledge of Python, SQL Server and/or AWS preferred.

  • Self-motivated with minimum direct supervision requirements.

  • Bachelor's degree in computer science or science related field.

Job Specific Duties:

  • Partner with project teams and stakeholders to clarify a business idea and/or project scope.

  • Engage in the initial information gathering, analysis & project initiation for activities that require development or data engineering.

  • Facilitate and drive requirement research and elicitation on new functionality, enhancements and production fixes to existing systems.

  • Prepare, maintain, and publicize any requirements or specification documents needed to enable frontend and backend development.

  • Using knowledge of the existing data/software platform, analyze requirements for validity and clarity.

  • Act as point of contact for translating and clarifying requirements between the project teams and the developers/data engineers.

  • Align and help plan development activities to meet project timelines.

  • Perform/facilitate acceptance testing based on the requirements for completed development efforts.

  • Coach and drive standardization of the software development process for all projects across the portfolio.

At Thermo Fisher Scientific, each one of our 70,000 extraordinary minds have a unique story to tell. Join us and contribute to our singular mission-enabling our customers to make the world healthier, cleaner and safer.

Thermo Fisher Scientific is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, creed, religion, color, national or ethnic origin, citizenship, sex, sexual orientation, gender identity and expression, genetic information, veteran status, age or disability status.