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Renewable Energy Data Analyst

Mech Tech Professionals
Posted 9 hours ago, valid for 2 days
Location

London, Greater London SW1A2DX, England

Salary

£770 per day

Contract type

Full Time

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Sonic Summary

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  • Mech Tech is looking for a Renewable Energy Data Analyst for a contract position that offers a competitive day rate of £770.
  • The role allows for remote work within the UK and operates outside IR35 regulations.
  • Candidates should have a strong background in data analysis, particularly in the energy sector, with experience handling large datasets.
  • Proficiency in analytical tools such as Python, R, or SQL is required, along with knowledge of renewable energy systems.
  • Strong communication skills and attention to detail are essential, with a minimum of 3 years of relevant experience preferred.

Mech Tech are seeking a skilled Renewable Energy Data Analyst to join our clients team on a contract basis. This role, which operates outside IR35, offers a competitive day rate of £770 and the flexibility of remote work within the UK. As a key contributor, you will analyze, interpret, and present data to support renewable energy initiatives, enabling data-driven decision-making that optimizes performance and fosters sustainability.

Key Responsibilities

  • Data Analysis: Collect, process, and analyze renewable energy data to identify trends, patterns, and insights.
  • Reporting & Visualization: Create detailed reports and data visualizations to communicate findings effectively to stakeholders.
  • Optimization Strategies: Develop data-driven strategies to improve energy efficiency and optimize renewable energy systems.
  • Collaboration: Work closely with engineering, finance, and operations teams to align data insights with business goals.
  • Forecasting: Use predictive analytics to forecast energy production, consumption, and potential challenges.
  • Regulatory Compliance: Ensure data analysis supports compliance with energy policies and regulations.

Required Skills & Experience

  • Data Expertise: Strong background in data analysis, with experience handling large datasets in the energy sector.
  • Technical Proficiency: Proficiency in analytical tools such as Python, R, SQL, or specialized energy modeling software.
  • Renewable Energy Knowledge: Familiarity with renewable energy systems, including wind, solar, and grid integration.
  • Problem-Solving: Strong analytical skills to interpret data and provide actionable insights.
  • Communication Skills: Excellent ability to present technical data to both technical and non-technical audiences.
  • Attention to Detail: Commitment to accuracy and precision in data handling and reporting

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