Interpersonnel UK Ltd is seeking a skilled Data Analyst with 2-3 years of experience in data analysis, ideally within the energy, sustainability, or related fields on behalf of a reputable client. This remote position offers the flexibility to work from home while applying hands-on experience in performance analysis, forecasting, and optimization.
The ideal candidate will have a strong background in analyzing data to drive insights and optimize processes. If you’re passionate about data-driven decision-making and looking for a rewarding opportunity, apply today to join a forward-thinking team!
About the Recruitment Agency
At Interpersonnel, we are committed to providing expert support and guidance throughout your career journey. Whether it’s reviewing your CV, assisting with interview preparation, or offering unbiased advice when considering job offers, our consultants are dedicated to helping you navigate every step of the process.
We believe that understanding your ambitions and motivations for changing a job role is key to ensuring that your skills align with the requirements of the position and that you feel at home within the new company. Achieving this understanding requires us to take the time to get to know you personally and build a strong rapport with each candidate.
At Interpersonnel, we focus on getting the fit right. Our goal is to place you in a position that not only matches your skill set but also supports your aspirations and long-term career growth.
Position: Data Analyst
Salary: £700 per day
Job Type: Full Time
Location: Remote (London, UK)
About the Role
Our client (within the energy/ sustainability sector) is looking for a detail-oriented and proactive Data Analyst to join their team. If you love diving into data, uncovering insights, and helping teams make smarter decisions, this role is for you.
You’ll work with large datasets, translate numbers into meaningful stories, and collaborate with various teams to enhance efficiency and performance. Your work will play a key role in shaping strategic decisions and driving real impact.
Main Duties
- Gather, process, and analyze data from various sources, ensuring accuracy and reliability.
- Use analytics and visualization tools to identify trends, patterns, and key insights.
- Create user-friendly dashboards and automated reports to help stakeholders track key metrics.
- Apply predictive modeling to support better decision-making and optimize operations.
- Work closely with engineers and operational teams to turn data into actionable strategies.
- Ensure data quality through regular validation, cleaning, and structuring processes.
- Contribute to reporting efforts by aligning data analysis with regulatory and company objectives.
- Collaborate with both internal teams and external partners to drive data-driven initiatives.
Skills & Qualifications
Education:
- Bachelor’s degree in Data Science, Engineering, or a related field.
Experience:
- 2-3 years of experience in data analysis, ideally within energy, sustainability, or related fields.
- Hands-on experience with performance analysis, forecasting, and optimization.
Technical Skills:
- Proficiency in Python, R, or MATLAB for data analysis.
- Experience with visualization tools like Power BI or Tableau.
- Strong knowledge of SCADA systems and data management software.
- Familiarity with cloud platforms like AWS or Azure.
- Understanding of performance metrics and optimization techniques.
Soft Skills:
- Strong problem-solving skills with an analytical mindset.
- Excellent communication—able to explain complex data in a clear and compelling way.
- Great attention to detail and accuracy in data work.
- Comfortable working remotely and collaborating in a fast-paced environment.
Bonus Points:
- Experience in energy project management or system optimization.
- Knowledge of compliance, sustainability, and industry standards.
- Relevant certifications in data analysis or analytics are a plus.
Required Documents
- CV/Resume
- Cover Letter
Application Process
Excited about this opportunity and ready to advance your career in data analysis? Apply Now and get started!
Application Deadline
Position will remain open until filled