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Johnson and Johnson Inc

Principal Business Intelligence Analyst

  • Başlık Principal Business Intelligence Analyst
  • İşlev Johnson and Johnson Inc
  • Alt fonksiyon Strategic Planning
  • Konum Danvers, Massachusetts, United States
  • Postalanan
  • İstek Kimliği 00001JWP
Hemen Başvur


Job Responsibilities:

  • Design, develop, deploy, and train on analytics tools for the Operations organization, primarily Supply Chain.
  • Harness the data at ABIOMED to build models that influence critical decision making.
  • Create reports and visualizations and fulfill analytics requests from the leadership of the Supply Chain organization using a variety of database and analytic technologies.
  • Utilize multiple data sources such as SAP, Salesforce, PowerBI, Tableau and Excel to harmonize data and drive strategy and execution.
  • Drive the move to analytics automation, scalability, and replication through existing technologies by understanding the needs and desires of the Supply Chain leadership team.
  • Partner with business stakeholders on projects to develop methodologies, reports and dashboards that provide business insight into leading indicators and provide recommendations that improve operations & enhance business decision making.
  • Drive project milestones to completion.
  • Build partnerships, define accountability, and lead the activities which operationalize key findings.
  • Develop tools, tests, and dashboard to enable implementation of insights. 
  • Recommend, design and operationalize predictive & prescriptive analytic solutions in conjunction with team members.
  • Ad-hoc analysis as required to aid management decision making and business planning.
  • Create and deliver impactful presentations for mid-level and senior-level audiences.
  • Model database needs based on project requirements and maintain data dictionaries and documentation associated with these data models.


Required Qualifications:

  • BS in Information Technology or other related discipline.
  • 8 years of work experience in business analytics or directly related field, ideally with operations and/or supply chain data.
  • Expertise using multiple data sources and platforms (SAP, Tableau, Salesforce, PowerBI, Excel); demonstrated knowledge of SAP Supply Chain modules (IBP, eWM, BW, MRP, MM).
  • Proficiency with SQL, R, Python (or statistical modeling) and/or SAS/SPSS would be a bonus.
  • Solid understanding of data structures and transformations.
  • Strong track record of partnership across multiple corporate functions.

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