Data Analyst

National Vehicle Distribution (“NVD”) is Ireland’s premier auto logistics operator, offering a fully integrated end to end supply chain service to OEM’s and National Distributors. With over 75% market share in Ireland, the company is expanding aggressively in the UK and further afield. The company employs in excess of 450 staff and has operating facilities in Baldonnell, New Ross, Rosslare, Ringaskiddy and the UK.Our team is at the heart of our success, and we are currently looking for a skilled Data Analyst to join our dynamic team. As a Data Analyst, you will play a crucial role in enhancing our operation

Pay and Benefits

• €40-60k depending on experience
• Continuous career pathway development
• Pension Scheme
• Work/Life balance
• Free on-site parking
• Cycle to Work Scheme

Key Responsibilities

• Collect and process complex data from diverse sources, including GPS tracking systems, transportation management software, and customer feedback
• Develop and implement databases, data collection systems, data analytics, and other strategies that optimise statistical efficiency and quality
• Analyse data to identify patterns, trends, and insights; translate data into actionable recommendations for business process improvements
• Create visualisations and reports for internal stakeholders to effectively communicate findings and recommendations
• Collaborate with cross-functional teams to implement analytics solutions and monitor outcomes, adjusting strategies as necessary
• Stay updated with the latest analytics technologies, tools, and best practices in logistics and transportation

Qualifications

• Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, or a related field.
• Proven experience as a Data Analyst or in a similar role, preferably in the logistics, transportation, or related industry.
• Strong analytical skills with the ability to collect, organise, analyse, and disseminate significant amounts of information with attention to detail and accuracy
• Proficiency in statistical packages and analytics tools (e.g., Excel, R, SAS, Python) for analysing datasets
• Strong working knowledge of AWS cloud computing data analytics tools such as Glue and Databrew
• Experience with data visualisation tools (e.g., AWS Quicksight, Power BI, Qlik Sense) and database management
• Excellent communication and collaboration skills, with the ability to present complex data in a clear and concise manner to a non-technical audience
• Ability to work independently and manage multiple projects under tight deadlines