National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Senior Sustainability & Commercial Data Analyst

Exeter
7 months ago
Applications closed

Related Jobs

View all jobs

Insight Analyst

Design Systems Analyst (Smart Places & Digital Twin Specialist)

Senior Software Developer

senior bioinformatics engineer pipeline automation & tool development

Senior Python Developer

senior bioinformatics engineer pipeline automation & tool development

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

National AI Awards 2025

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.

How to Get a Better AI Job After a Lay-Off or Redundancy

Being made redundant or laid off can feel like the rug has been pulled from under you. Whether part of a wider company restructuring, budget cuts, or market shifts in tech, many skilled professionals in the AI industry have recently found themselves unexpectedly jobless. But while redundancy brings immediate financial and emotional stress, it can also be a powerful catalyst for career growth. In the fast-evolving field of artificial intelligence, where new roles and specialisms emerge constantly, bouncing back stronger is not only possible—it’s likely. In this guide, we’ll walk you through a step-by-step action plan for turning redundancy into your next big opportunity. From managing the shock to targeting better AI jobs, updating your CV, and approaching recruiters the smart way, we’ll help you move from setback to comeback.

AI Jobs Salary Calculator 2025: Work Out Your Market Value in Seconds

Why your 2024 salary data is already outdated “Am I being paid what I’m worth?” It is the question that creeps in whenever you update your CV, see a former colleague announce a punchy pay rise on LinkedIn, or notice a recruiter slide into your inbox with a role that looks eerily similar to your current one—only advertised at £20k more. Artificial intelligence moves faster than any other hiring market. New frameworks are open‑sourced overnight, venture capital floods specific niches without warning, & entire job titles—Prompt Engineer, LLM Ops Specialist—appear in the time it takes most industries to schedule a meeting. In that environment, salary guides published only a year ago already look like historical curiosities. To give AI professionals an up‑to‑the‑minute benchmark, ArtificialIntelligenceJobs.co.uk has built a simple yet powerful salary‑calculation formula. By combining three variables—role, UK region, & seniority—you can estimate a realistic 2025 salary band in less than a minute. This article explains that formula, unpacks the latest trends driving pay, & offers concrete steps to boost your personal market value over the next 90 days.

How to Present AI Models to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

In today’s competitive job market, AI professionals are expected to do more than just build brilliant algorithms—they must also explain them clearly to stakeholders who may have no technical background. Whether you're applying for a role as a machine learning engineer, data scientist, or AI consultant, your ability to articulate complex models in simple terms is fast becoming one of the most valued soft skills in interviews and on the job. This guide will help you master the art of public speaking for AI roles, offering tips on structuring presentations, designing effective slides, and using storytelling to make your work resonate with any audience.