Role

Climate17 are working with an international renewable energy business who develop, build and operate solar, wind and battery assets across the UK and southern Europe.

They are actively searching for a Data and Reporting Analyst to take responsibility for delivering accurate, timely, and insightful reports based on business requirements.

 This role owns the end-to-end reporting process, and it requires diligence, critical thinking in validating data, and good communication skills to present actionable insights that support decision-making across technical and non-technical audiences.

Responsibilities
 

• Produce, maintain and improve dashboards and reports in Excel and PowerBI, providing critical insights, performance metrics, and KPIs for informed decision-making.
• Maintain performance data sets with strong governance, robust processes, and timely issue resolution.
• Streamline data flow for reporting, identifying improvements and developing tools to enhance efficiency.
• Manage reporting processes, meeting deadlines, coordinating inputs, and updating stakeholders across cross-functional teams (finance, asset management, field services etc).
• Interpret report data to provide clear insights and actionable information.
• Provide training and support to staff in understanding and utilising the reports.
• Act as a primary point of contact for reporting-related queries and work to resolve issues promptly.
• Collaborate with data engineers to incorporate reporting into the full data pipeline.

• 2+ years of experience of reporting and analysing data
• Experience in the renewable energy sector or a similar field is highly desirable.
• Advanced proficiency in Microsoft Excel (including advanced formulas, pivot tables, Power Query, best practice in setting up Excel analysis)
• Proficiency in Power BI (building and maintaining dashboards and semantic models)
• SQL experience for querying and managing large datasets.
• Solid understanding of SCADA systems and their integration with business intelligence platforms.
• Attention to detail and a proactive approach to identifying issues and providing timely solutions
• Curiosity and critical thinking about what the numbers mean
• Innovative and proactive mindset to improve processes where you see an opportunity
• Strong communication and presentation abilities, with the capacity to convey complex data insights to non-technical stakeholders.
• Ability to collaborate effectively with diverse teams and drive cross-departmental initiatives.
• Desirable: Understanding of data architecture and data pipelines.
• Desirable: Knowledge of Python for data analysis, automation, and creating data pipelines.