Data Analyst

EZO are a rapidly scaling EV charging company on a mission to accelerate the transition to clean mobility. As we expand across new markets, we are building a world-class data capability to support smarter charging networks, seamless customer experiences, and efficient operations. We are now looking for a Data Analyst who will play a pivotal role in shaping our data culture, driving high-impact insights, and guiding our analytics strategy as we grow internationally.

We are seeking a Data Analyst to join our technology team, specialising in building and maintaining data pipelines, reporting solutions, and analytics dashboards. The role will focus on enabling business stakeholders to make data-driven decisions through Power BI and other reporting tools.

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• Develop and maintain interactive dashboards and reports in Power BI.
  
• Partner with business stakeholders to understand reporting needs and deliver effective visualisations.
  
• Implement row‑level security, data models, and DAX measures for advanced analytics.
  
• Applied business intelligence and domain awareness to develop predictive insights and design interactive dashboards that support data‑driven decision‑making.
  

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• Design, build, and optimise ETL/ELT processes to integrate data from multiple sources.
  
• Ensure data quality, consistency, and reliability across reporting systems.
  
• Monitor performance and optimise queries for large datasets.
  
• Provide technical guidance on best practices for data visualisation and reporting.
  

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• Stay updated on emerging BI tools and data engineering practices.
  
• Automate recurring reporting tasks to improve efficiency.
  
• Opportunity to grow into data engineering responsibilities and strengthen backend data development skills.
  

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• Strong experience with Power BI (data modelling, DAX, dashboard design).
  
• Knowledge in SQL and relational database management. Knowledge of data warehousing concepts and reporting best practices. xcfaprz
  

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• Familiarity with cloud platforms (Azure, AWS, or GCP).
  
• Experience with ETL tools or scripting languages (Python, SSIS, Azure Data Factory, etc.).
  

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• Competitive Salary
  
• On call Allowance
  
• 10% Bonus
  
• Healthcare
  
• Pension