Overview

Position Title: Lead Data Analyst

Company: Johnson & Johnson

Location: London, UK

Job Description

With $93.8 billion in 2021 sales, Johnson & Johnson is the world’s most comprehensive and broadly-based manufacturer of health care products, as well as a provider of related services, for the consumer, pharmaceutical, and medical devices markets. There are more than 250 Johnson & Johnson operating companies employing approximately 130,000 people. If you have the talent and desire to touch the world, we have the career opportunities to help make it happen.

Responsibilities:

  • In collaboration with business partners on a global scale, model data to solve complex analytical problems, design customer-centric dashboards, and influence better data quality practices within the business
  • Develop and/or maintain data extraction and data preparation processes that not only support efficiency and effectiveness throughout the data analytics lifecycle, but also allow for advancement and growth
  • Conduct and document robust testing / data verification to support new / enhanced analytics
  • Work on multiple complex simultaneous tasks and projects
  • Provide ad-hoc support to key HCC areas
  • Provide well-written documentation to help drive successful implementation and ongoing support of solutions
  • Develop and provide training on analytical resources to the organization
  • Cultivate an environment that encourages knowledge sharing
  • Establish excellent business partnerships within Johnson & Johnson, specifically HCC teams

Requirements:

  • Minimum of 4 – 6 years’ work experience required
  • Experience leading sophisticated systems and related projects is required
  • Ability to successfully handle multiple critical issues simultaneously
  • High proficiency with Microsoft Office 365, Power Apps, Power Automate, Tableau and Power BI
  • High proficiency with Alteryx data analytics software
  • Strong knowledge and applied experience in relational database technology (e.g. Oracle, Teradata, SQL Server)
  • Knowledge and applied experience in Python, R and SQL
  • Excellent English verbal and written communication skills
  • Very organized with proven attention to detail
  • An innovative and global mindset, excellent verbal and written communication skills and the ability to establish strong business partnerships.
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