Data Analyst

Position: Data Analyst Employment Type: Full Time, Permanent Location: Park West, Dublin About Applegreen Electric: Applegreen Electric is a Charge Point Operator with a proven track record in the deployment and operation of over 1,000 fast charging bays across the United States, United Kingdom and Ireland. Applegreen Electric was established in 2021 as a subsidiary of Applegreen Limited to focus exclusively on EV charging infrastructure. Applegreen first established fast charging as part of its services to customers in 2012 and is one of the largest Travel Plaza operators in Europe and the US, trading as Welcome Break on Motorway and Trunk Road Service Areas and Applegreen on Service Stations in the UK. Applegreen joined Blackstone Infrastructure Partners in 2020, the world’s largest alternative asset manager, with $1 trillion in assets under management. Today, Applegreen Electric works with a range of partners to design, develop, host, and operate universal access EV charging bays, providing 150,000+ fast charging sessions to EV drivers a month, supporting the rapid transition to sustainable transportation and a low-carbon future. About the Role: Our team is currently experiencing a period of rapid growth and in order to support this ambitious growth we are looking to recruit a Data Analyst to join our team. It is an exciting opportunity for the right candidate to excel and with a unique opportunity to gain exposure to interaction with senior members of the leadership team on a regular basis. The successful candidate will be a confident person who can fit into Applegreen seamlessly and adopt a hands-on approach to their role. Key Responsibilities: As Applegreen Electric expands, the responsibilities will evolve and change over time. The initial responsibilities will primarily focus on the following areas: ● Collect, clean, and preprocess data from various sources to ensure accuracy and completeness. ● Develop and implement data collection systems and other strategies to optimize statistical efficiency and data quality. ● Perform exploratory data analysis (EDA) to identify patterns, trends, and outliers. ● Use statistical techniques to analyse data and extract meaningful insights. ● Develop and implement data models, algorithms, and simulations. ● Analyse charging station performance metrics to ensure optimal functionality and identify opportunities for improvement. ● Assess reliability, downtime, and efficiency of charge points. ● Implement algorithms and monitoring systems to detect faults and anomalies in real-time. ● Collaborate with maintenance teams to quickly resolve issues and minimize downtime. ● Identify opportunities for improving energy efficiency through data analysis. ● Collaborate with engineers and other teams to implement and monitor efficiency initiatives. ● Create clear and compelling visualisations (charts, graphs, dashboards) to communicate findings to non-technical stakeholders. ● Use tools such as Tableau, Power BI, or other visualisation tools to present data in an understandable and actionable format. ● Generate regular and ad-hoc reports to provide insights and support decision-making processes. ● Collaborate with cross-functional teams to understand reporting requirements and deliver actionable insights. ● Collaborate with other departments, data scientists, and business stakeholders to understand data needs and provide analytical support. ● Work closely with IT teams to ensure data accuracy, availability, and security. Education, Qualifications & Experience: ● Bachelor’s degree in a relevant field such as Statistics, Mathematics, Computer Science, or a related discipline. Advanced degrees (Master’s or Ph.D.) may be preferred. ● Proficiency in programming languages such as SQL, Python, or R. ● Experience with data visualization tools like Tableau, Power BI, or similar. Key Skills & Attributes: ● Strong analytical and problem-solving skills. ● Excellent communication skills to convey complex findings in a clear and understandable manner. ● Knowledge of database systems, data warehousing, and data modelling concepts. ● A dynamic individual who adapts well to change and can thrive in a rapidly growing organisation that continues to evolve. ● Proven track record of delivering to tight deadlines. ● A highly organised individual with ability to plan and prioritise workloads effectively for maximum impact and adapt around changing priorities as required. ● Ability to execute directly at high quality and pace. ● Excellent drive, enthusiasm and commitment and a keen interest in developing a career in Applegreen Electric. ● A ‘can do’ attitude and a positive solution focused mindset. ● Demonstrate strong analytical capability to interpret and challenge data and to interrogate financial systems. ● Has strong commercial acumen and a focus on delivering value to the business. ● Exceptional interpersonal skills, and ability to engage and develop relationships with individuals at all levels of the organisation. ● Be a self-starter, and also be able to work collaboratively as a member of a highly interdependent team across many parts of Applegreen. ● Is resilient and calm under pressure. ● Has sound judgement and objective logical decision-making skills. ● Has strong leadership potential and management skills, who will be a role model for the people and culture at Applegreen Electric. ● Willing to travel ad hoc if required. Application & Screening Process (may be subject to change): Application Process: ● Please submit: ○ Tailored & up to date CV (Max 2 pages) ○ Cover Letter - Preferred Interview & Selection Process: ● Two interview rounds will be required for this role.