Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Business Intelligence Data Analyst - Renewable Energy

Exeter
10 months ago
Applications closed

Related Jobs

View all jobs

Business Intelligence/Data Analyst

Data Analyst, Business Intelligence Data Analyst

Data Analyst, Business Intelligence Data Analyst

Data Analyst, Business Intelligence Data Analyst

Lead Data Analyst

Senior Data Engineer

Leading Renewable Energy Provider require a highly motivated and detail-oriented Senior Sustainability & Commercial Data Analyst to join their team in the energy sector. The successful candidate will play a crucial role in supporting their sustainability initiatives and Commercial reporting by managing and analysing data related to Regulatory and weekly KPI reporting.

Client Details

Leading Renewable Energy Provider

Description

Leading Renewable Energy Provider require a highly motivated and detail-oriented Senior Sustainability & Commercial Data Analyst to join their team in the energy sector. The successful candidate will play a crucial role in supporting their sustainability initiatives and Commercial reporting by managing and analysing data related to Regulatory and weekly KPI reporting. This position requires a strong analytical mindset, proficiency in data management tools, and a passion for sustainability.

Key Responsibilities:

Data Collection and Management: Gather, clean, and maintain sustainability data from various sources. Ensure data accuracy and integrity for Regulatory reporting and internal KPI tracking.
Regulatory Reporting: Prepare and submit regular reports to the Regulator, ensuring compliance with regulatory requirements. Monitor changes in regulations and update reporting processes accordingly.
KPI Reporting: Develop and maintain weekly KPI dashboards to track sustainability performance. Analyse trends and provide insights to support decision-making.
Data Analysis: Perform detailed data analysis to identify opportunities for improving sustainability performance. Generate reports and visualizations in Power BI to communicate findings to stakeholders.
Collaboration: Work closely with cross-functional teams to gather data and implement sustainability initiatives. Support the Head of Finance & Sustainability in developing and executing sustainability strategies.

Key Skills & Experience:

Bachelor's degree in Sustainability, Environmental Science, Data Science, or a related field.
Proven experience in data analysis, working with complex data from a variety of sources
Experience with data visualization tools, ideally Power BI or similar
Familiarity with regulatory reporting requirements and sustainability metrics (desirable but not essential)
Proficiency in data analysis tools (e.g., Excel, SQL, Python, R).
Strong analytical and problem-solving skills.
Excellent communication and presentation skills.
Ability to work independently and as part of a team.

Profile

Bachelor's degree in Sustainability, Environmental Science, Data Science, or a related field.
Proven experience in data analysis, working with complex data from a variety of sources
Experience with data visualization tools, ideally Power BI or similar
Familiarity with regulatory reporting requirements and sustainability metrics (desirable but not essential)
Proficiency in data analysis tools (e.g., Excel, SQL, Python, R).
Strong analytical and problem-solving skills.
Excellent communication and presentation skills.
Ability to work independently and as part of a team.Job Offer

Opportunity to deliver enhanced analytics capability

Opportunity to join a rapidly expanding Renewable Energy company

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Jobs

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Jobs

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

Jobs

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.