At a Glance
- Tasks: Analyze energy and environmental data to support sustainability goals.
- Company: Join a forward-thinking consultancy tackling climate change and promoting sustainable development.
- Benefits: Enjoy flexible hours, hybrid work options, and a competitive salary.
- Why this job: Make a real impact on the environment while working on innovative projects.
- Qualifications: Degree in Data Science or related field; experience with large datasets required.
- Other info: Opportunity for ongoing training and a collaborative work culture.
The predicted salary is between 28800 - 42000 £ per year.
Job Title: Data Analyst
Location: Scotland (Hybrid – Full driving license is essential)
Industry: Energy & Environmental Consultancy
Employment Type: Full-time, Permanent
About Us:
We are a forward-thinking energy and environmental consultancy committed to providing innovative solutions to the challenges posed by climate change, energy transition, and sustainable development. As a team of passionate professionals, we work across a range of industries including energy, water, waste, and environmental policy. We are looking to expand our team and are seeking a motivated and analytical Data Analyst to join us in driving the future of sustainable energy.
Position Overview:
As a Data Analyst, you will play a key role in helping our clients navigate the complex landscape of energy and environmental data. You will work with a variety of data sources, analyze trends, and support decision-making through your insights and expertise. This role will involve collaborating with project teams, managing datasets, performing statistical analysis, and presenting findings in a clear and concise manner to both technical and non-technical stakeholders.
Key Responsibilities:
- Collect, clean, and organize large datasets from various sources related to energy consumption, emissions, environmental factors, and sustainability metrics.
- Conduct in-depth analysis of energy usage trends, carbon footprints, and environmental data to support clients in their sustainability goals.
- Apply statistical techniques and models to identify patterns, correlations, and forecasts relevant to energy transition and environmental management.
- Develop data visualizations, dashboards, and reports to communicate findings and recommendations to clients in a clear and actionable format.
- Work closely with project teams and clients to understand their data needs and tailor analytical solutions to specific requirements.
- Support the creation of tools and systems for automated data collection and reporting.
- Ensure data quality and integrity, performing regular audits and updates of datasets.
- Assist in the preparation of technical documentation, including data models, methodologies, and assumptions.
- Stay up-to-date with developments in the energy sector, environmental policies, and emerging trends in data analytics.
Required Qualifications & Skills:
- A degree in Data Science, Statistics, Environmental Science, Engineering, or a related field.
- Proven experience working with large datasets, preferably within the energy, environmental, or sustainability sectors.
- Strong proficiency in data analysis tools such as Excel, SQL, Python, R, or similar.
- Experience with data visualization tools like Power BI, Tableau, or similar platforms.
- Knowledge of energy systems, environmental policies, and sustainability practices is a plus.
- Ability to work independently, manage multiple tasks, and meet deadlines.
- Excellent communication skills, with the ability to explain complex data insights to a non-technical audience.
- Strong problem-solving skills and attention to detail.
Desirable Skills:
- Familiarity with renewable energy data, emissions reporting standards, or environmental impact assessments.
- Experience in geospatial data analysis (e.g., GIS tools).
- Understanding of energy transition frameworks such as net-zero goals or carbon offset projects.
- Knowledge of machine learning techniques or advanced statistical modeling.
What We Offer:
- Competitive salary and benefits package.
- Flexible working hours and hybrid/remote working options.
- Opportunity to work on cutting-edge projects within the energy and environmental sectors.
- Access to ongoing training and development opportunities.
- A supportive, collaborative, and inclusive work environment.
- A chance to contribute to meaningful projects that have a positive impact on the environment and society.
Data Analyst employer: The Green Recruitment Company
Contact Detail:
The Green Recruitment Company Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst
✨Tip Number 1
Familiarize yourself with the latest trends in energy and environmental data. This will not only help you understand the industry better but also allow you to speak knowledgeably during interviews, showcasing your passion for sustainable development.
✨Tip Number 2
Network with professionals in the energy and environmental consultancy sector. Attend relevant webinars, workshops, or local meetups to connect with potential colleagues and learn more about the challenges they face, which can give you an edge in discussions.
✨Tip Number 3
Brush up on your data visualization skills, especially with tools like Power BI or Tableau. Being able to present complex data in a clear and engaging way is crucial for this role, and demonstrating this skill can set you apart from other candidates.
✨Tip Number 4
Prepare to discuss specific projects where you've successfully analyzed large datasets. Be ready to explain your methodology, the tools you used, and the impact of your findings, as this will highlight your practical experience and problem-solving abilities.
We think you need these skills to ace Data Analyst
Some tips for your application 🫡
Understand the Role: Take the time to thoroughly read the job description for the Data Analyst position. Understand the key responsibilities and required skills, and think about how your experience aligns with these.
Tailor Your CV: Customize your CV to highlight relevant experience in data analysis, particularly within the energy or environmental sectors. Emphasize your proficiency with tools like Excel, SQL, Python, and any data visualization software you have used.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for sustainability and data analysis. Mention specific projects or experiences that demonstrate your analytical skills and ability to communicate complex data insights effectively.
Highlight Relevant Qualifications: In your application, clearly outline your educational background and any certifications related to data science or environmental studies. If you have experience with renewable energy data or geospatial analysis, make sure to include that as well.
How to prepare for a job interview at The Green Recruitment Company
✨Showcase Your Analytical Skills
Be prepared to discuss specific examples of how you've analyzed large datasets in the past. Highlight your experience with tools like Excel, SQL, or Python, and be ready to explain your thought process when identifying trends or patterns.
✨Understand the Industry
Familiarize yourself with current trends in the energy and environmental sectors. Being able to discuss recent developments or challenges in sustainability will demonstrate your genuine interest and knowledge about the field.
✨Communicate Clearly
Practice explaining complex data insights in simple terms. Since you'll be presenting findings to both technical and non-technical stakeholders, showcasing your ability to communicate effectively is crucial.
✨Prepare for Technical Questions
Expect questions related to statistical techniques and data visualization. Brush up on your knowledge of relevant tools like Power BI or Tableau, and be ready to discuss how you would approach specific analytical challenges.