Randstad, as the EMEA Johnson & Johnson talent acquisition partner, is responsible for finding and contracting talent for the contingent roles at Johnson & Johnson. If you are selected for a role you will be engaged or employed by one of the Randstad recruitment companies in EMEA and will not be an employee of Johnson & Johnson.

Johnson & Johnson

IRL - Data Scientist & Data Visualisation Engineer

Posted May 4, 2021
Job ID: JJJP00006480
Location
Cork , County Cork
Duration
1 year
(Jun 14, 2021 - Jun 12, 2022)
Hours/week
39 hrs/week
Payrate range
25 - 35 €/hr

2 Separate roles



1. DATA SCIENTIST (SUPPLY CHAIN ANALYTICS)


2. DATA & VISUALISATION ENGINEER (SUPPLY CHAIN ANALYTICS)



Key Responsibilities:


  • Perform data analysis on large data sets: analyse, clean, and summarise the data.


  • Present data analysis results and write technical summaries to drive product quality and safety related discussions.


  • Automate processes, develop dashboards and solutions to address business needs.


  • Provide modelling support for the business using tools such as SIMCA.


  • Sustain and improve complex workflows and Tableau visualisations for multiple customers.


  • Communicate with customers to understand needs, develop data analytics proposals, and assure needs are met according to project timelines.


  • Partner with the Business Units to expand the use of data analytics and predictive insights.


  • Expand and deepen data analytics and visualisation skills on site using tools such as Tableau.


  • Explore new data analytics solutions and innovative approaches to data opportunities through partnerships with stakeholders and connections with


  • Enterprise data groups.


  • Project management skills: manage multiple project timelines and deliver on customer needs.


  • Prioritise work based on urgency and value, to deliver SCAN objectives.



Requirements:


  • A Bachelor of Science degree in a technical or clinical field, Bachelor of Engineering or similar.


  • Project Management (SCRUM, Agile, FPX, Waterfall).


  • Knowledge of ongoing data engineering utilising Azure solution.


  • Proven ability to analyse, clean, and summarise large data sets.


  • Track record of leading projects to deployment stages.


  • Ability to work individually or collaborate with cross-functional teams, as required.


  • Good communication and influencing skills.


  • Familiarity with SIMCA, Tableau, Python, R studio, JIRA all considered desirable.


  • Familiarity with GxP requirements desirable.

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