Data Analyst

Company: Johnson & Johnson

Industry: Private

Employment Type:- Full Time

Work Hours:-  8 Hours

Locations:- USA

Full Job Description:-

Johnson & Johnson is the largest and most broadly based healthcare company in the world. We’re producing life-changing breakthroughs every day, and have been for the last 130 years.

The combination of new technologies and your expertise enables amazing things to happen. Teams from J&J’s consumer business are creating digital tools to help people track the health of their skin. Those working in medical devices are 3-D printing artificial joints personalized for each patient, while researchers in pharmaceuticals use AI to discover lifesaving drugs. Imagine what the rest of our team of 134,000 people at 260 companies in more than 60 countries across the world is accomplishing. We redefine what it means to be a big company in today’s world.

Data Analyst job description

What is a CM&I Data Analyst? A CM&I Data Analyst gathers requirements for adherence from strategies, policies, guidance SOPs etc. to design and work with development teams to deliver solutions that provide actionable insights

Main Roles: The main roles of a CM&I Data Analyst are to analyze data models and derive logical conclusions – AND – develop innovative solutions for operational and strategic changes.

Stakeholders: CM&I Data Analyst understands requirements from TQ&C stakeholders for monitoring solutions and conducts user reviews as solutions are deployed to collect user feedback and report out on solutions CM&I is delivering to the TQ&C stakeholders. These solution demos could be all levels of the organization

CM&I Data Analyst Responsibilities

  • Gaining in depth knowledge on business process to translate business requirements for monitoring TQ&C’s efficiency and effectiveness into data analytics solutions and insights.
  • Analyzing data models to deliver logical conclusions
  • Evaluating business processes, anticipating requirements, uncovering areas for improvement, and developing and implementing solutions.
  • Applying development methodologies (like AGILE) to deliver solutions
  • Using data science and analytics to demonstrate adherence to established strategies/policies/guidance, etc. and analyze feedback for continuously improving the solutions.
  • Leading ongoing reviews of business processes and share results and insights.
  • Staying up to date on the latest process and IT advancements to automate and modernize systems.
  • Conducting meetings and presentations to share ideas and findings.
  • Performing requirements analysis.
  • Documenting and communicating the results of your efforts.
  • Effectively communicating your insights and plans to cross-functional team members and management.
  • Working closely with stakeholders & partners.
  • Providing leadership, training, coaching, and guidance to junior staff.
  • Ensuring solutions meet business needs and requirements.
  • Managing projects, developing project plans, and monitoring performance.
  • Updating, implementing, and maintaining procedures.
  • Prioritizing initiatives based on business needs and requirements.
  • Serving as a liaison between stakeholders and users.
  • Monitoring deliverables and ensuring timely completion of projects.

Data Analyst job requirements

Other Jobs You May Be Interested In

  • A minimum of a bachelor’s degree in business or IT or related field is required.
  • A minimum of 5 years of experience in business analysis or a related field is required.
  • Fundamental knowledge in ITIL & Quality/Validation is required.
  • Exceptional analytical and conceptual thinking skills.
  • Experience in Data Analytics and Insights
  • The ability to influence stakeholders and work closely with them to determine requirements and solutions
  • The ability to conduct stakeholder reviews/demos for stakeholder feedback
  • A strong communicator, problem solver, and critical thinker
  • Excellent documentation skills.
  • Experience creating detailed reports and giving presentations.
  • Experience and or training specific to data science, machine learning, or statistical programming is preferred.
  • Experience using lean, agile, Scrum, and Kanban tools and methods is preferred.
  • Competency in Microsoft Applications including Power BI, Power APP, Excel, Outlook, Teams
  • Excellent planning, organizational, and time management skills.
  • This position may require up to 10% travel

Data Analyst

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