Data Analytics Assistant
About this job
In order to work in Ireland a non-EEA National, unless they are exempted, must hold a valid employment permit. Please review the Eligibility and requirements for an employment permit if you are unsure of your eligibility to apply for this vacancy.
Endress+Hauser (Ireland) Ltd Global Logistics Operations Center based in Exchequer House, Embassy office park, Kill, Co. Kildare, W91W866 are currently recruiting for a Data Analytics Assistantant
• Annual Salary €46,328k
• Hours of Work 37.5 hours weekly
• Fixed Term Contract – 2 years
Responsibilities in the Role will include:
Data Analytics & Reporting
• Collaborate closely with Global Logistics Operations Centre (G-LOC) teams to understand business challenges and identify data-driven solutions through data analytics.
• Analyse large datasets to identify trends, patterns, and opportunities for business improvement.
• Design, develop, and maintain reports, dashboards, and visualisations using Tableau or similar business intelligence tools.
• Translate complex business requirements into meaningful analytics solutions and recommendations.
Data Warehouse & Data Management
• Support the ongoing development and maintenance of the company Data Warehouse environment.
• Monitor data quality, integrity, and consistency across systems.
• Perform data validation, quality assurance, and plausibility checks.
• Assist with database performance monitoring, optimisation, security, and backup activities.
Business Collaboration
• Collaborate with business stakeholders to understand operational challenges and information requirements.
• Gather, document, and analyse business and technical requirements.
• Support continuous improvement initiatives through data-driven recommendations.
Project Support
• Support the implementation of analytics and data infrastructure projects.
• Assist with system integration testing and user acceptance testing activities.
• Develop and maintain project documentation, process maps, and operating procedures.
Experience & Skills Required
• Graduates with a 2.2 honours degree at Level 8 in any discipline such as IT Systems, Computer Science, Mathematics, Physics (or other sciences), Actuarial Science, Data Analytics, Strategic Financial Management matched with relevant professional experience
• Proficiency in Tableau or other data visualization tools, with the ability to create insightful and impactful visualizations. Certification in Tableau (e.g., Desktop Specialist, Data Analyst) is a plus.
• Skills in SQL and machine learning are and advantage
• Proven experience of understanding data and building the bridge between IT know-how and business understanding, to transfer knowledge effectively between technical and business functions
• Proven ability to abstract and think analytically.
• Experience using problem solving skills to add value to the process
• Programming experience, familiarity with SQL and some data management and analysis software
Desirable
• Experience with SQL and database technologies.
• Knowledge of machine learning concepts and predictive analytics.
• Experience with Python, R, or other data analytics programming languages.
• Tableau certification or equivalent business intelligence certification.
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