Data Analyst at QP Technologies in Limerick, Ireland

Data Analyst

Summary

This role is responsible for supporting and further developing the data and analytics program within Technical Operations (Automation, Engineering & Facilities). This includes enabling data gathering and analysis, presenting and visualisation of data and metrics.

Essential Duties and Responsibilities

May include, but are not limited to, the following:

· Work closely with the Technical Operations team to develop and expand the data and analytics program within the Technical Operations department.

· Communicate with multiple teams to understand their analytical needs.

· Develop tools to assist with collecting, storage, retrieval, preparation, analysis, and distribution of data.

· Present data through meetings and communications with various levels within the organization.

· Provide recommendations to management using a data and analytics approach.

· Develop data visualisation tools to improve department communications of Technical Operations data.

· Support existing dashboards and reporting, such as KPI initiatives.

· Creation of metrics to support existing and new processes.

· Collaborates with subject matter experts within the Technical Operations department and across the company.

· Communicates progress in the form of metrics and project summaries.

· Provides coordination support during regulatory inspections and partner audits and responding to requests.

· Integration/Migration of data sets into CMMS database.

Education and Experience

• Analyst (Preferable)
  
• Or BS/BA in Engineering, Business Analytics, Computer Science, or related field
  
• And 2+ years of relevant experience in data analysis or equivalent combination of education and experience.
  
  

Knowledge, Skills, and Abilities

• Strong analytical skills with attention to detail
  
• Requires excellent written, verbal, and interpersonal communication skills.
  
• Ability to manage tasks independently; take ownership of responsibilities.
  
• Experience with data visualisation software (Excel, QIik, Tableau, Spotfire, JMP etc.) preferred.
  
• Experience with SharePoint Lists and Workflows preferred.