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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