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

Apply Now

Sustainability Data Analyst (The Green Data Strategist)

Unreal Gigs
Aberdeen
11 months ago
Applications closed

Related Jobs

View all jobs

Data Science Manager

Graduate Data Scientist

Graduate Data Scientist

Graduate Data Scientist

Senior Full-Stack Data Scientist

Machine Learning Engineer

Are you passionate about using data to drive positive environmental impact and help organizations make sustainable decisions? Do you thrive on analyzing complex datasets to uncover insights that can shape sustainability strategies and reduce carbon footprints? If you’re ready to turn data into actionable insights that promote environmental responsibility,our clienthas the ideal opportunity for you. We’re looking for aSustainability Data Analyst(aka The Green Data Strategist) to analyze, interpret, and report on sustainability metrics that guide impactful business decisions and support green initiatives.

As a Sustainability Data Analyst atour client, you’ll collaborate with environmental scientists, policy experts, and business leaders to gather, analyze, and visualize data related to sustainability initiatives. Your insights will drive strategies around energy efficiency, waste reduction, carbon management, and overall sustainable practices, helping our client build a greener, more responsible organization.

Key Responsibilities:

  1. Collect and Analyze Sustainability Data:
  • Gather and analyze data on energy use, emissions, waste, water usage, and other sustainability metrics. You’ll use statistical tools and software to ensure accuracy and interpret trends over time to support sustainability initiatives.
Create Sustainability Reports and Dashboards:
  • Develop detailed reports and data dashboards that track sustainability KPIs, such as carbon footprint, energy consumption, and waste reduction progress. You’ll create visualizations that make complex data understandable and actionable for decision-makers.
Evaluate Carbon Footprint and Emissions Data:
  • Perform carbon accounting and emissions analysis to quantify the organization’s greenhouse gas (GHG) emissions. You’ll identify areas for improvement and help develop reduction strategies in line with industry standards, such as GHG Protocol.
Collaborate on Sustainability Goals and Strategies:
  • Work with sustainability and environmental teams to define sustainability goals and track their progress. You’ll provide data-driven recommendations for achieving targets in energy efficiency, waste management, water conservation, and more.
Conduct Environmental Impact Assessments:
  • Evaluate the environmental impact of business practices, supply chain operations, and product lifecycle stages. You’ll assess and quantify the environmental benefits or costs associated with different operational scenarios.
Stay Updated on Sustainability Metrics and Standards:
  • Keep abreast of emerging sustainability frameworks, metrics, and industry standards, such as CDP, TCFD, and ESG reporting. You’ll ensure that sustainability metrics align with best practices and regulatory requirements.
Support Communication and Reporting for Stakeholders:
  • Assist in preparing sustainability reports for internal stakeholders, investors, and regulatory bodies. You’ll ensure transparency and accuracy in reporting, helping to build trust and accountability in the organization’s sustainability efforts.

Requirements

Required Skills:

  • Sustainability Data Analysis Expertise:Strong experience in data analysis focused on sustainability metrics, such as energy consumption, carbon emissions, water usage, and waste management. You understand how to gather and interpret data that supports sustainable decision-making.
  • Proficiency in Data Analysis Tools:Proficiency in data analysis and visualization tools, such as Excel, Tableau, Power BI, or Python/R. You’re skilled at turning raw data into insights and actionable visualizations that support sustainability objectives.
  • Knowledge of Sustainability Standards:Familiarity with sustainability reporting standards and frameworks, such as GHG Protocol, CDP, and ESG reporting. You know how to align metrics and reporting with industry standards for transparency and accountability.
  • Environmental Impact Assessment:Experience in conducting environmental impact assessments and lifecycle analysis to quantify and understand environmental effects. You can provide data-driven insights into reducing environmental footprints.
  • Collaboration and Communication:Strong collaboration skills with experience working with cross-functional teams, including environmental scientists, operations teams, and executives. You can clearly communicate data findings to diverse stakeholders.

Educational Requirements:

  • Bachelor’s or Master’s degree in Environmental Science, Data Science, Sustainability, or a related field.Equivalent experience in sustainability analysis or environmental data management is highly valued.
  • Certifications in sustainability reporting (e.g., GRI, CDP) or data analytics are a plus.

Experience Requirements:

  • 3+ years of experience in sustainability data analysis,with hands-on experience analyzing sustainability metrics and creating reports.
  • Experience with carbon accounting, lifecycle assessment (LCA), or energy efficiency analysis is highly desirable.
  • Familiarity with regulatory frameworks, sustainability disclosures, and ESG reporting is advantageous.

Benefits

  • Health and Wellness: Comprehensive medical, dental, and vision insurance plans with low co-pays and premiums.
  • Paid Time Off: Competitive vacation, sick leave, and 20 paid holidays per year.
  • Work-Life Balance: Flexible work schedules and telecommuting options.
  • Professional Development: Opportunities for training, certification reimbursement, and career advancement programs.
  • Wellness Programs: Access to wellness programs, including gym memberships, health screenings, and mental health resources.
  • Life and Disability Insurance: Life insurance and short-term/long-term disability coverage.
  • Employee Assistance Program (EAP): Confidential counseling and support services for personal and professional challenges.
  • Tuition Reimbursement: Financial assistance for continuing education and professional development.
  • Community Engagement: Opportunities to participate in community service and volunteer activities.
  • Recognition Programs: Employee recognition programs to celebrate achievements and milestones.

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.

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.

AI Team Structures Explained: Who Does What in a Modern AI Department

Artificial Intelligence (AI) and Machine Learning (ML) are no longer confined to research labs and tech giants. In the UK, organisations from healthcare and finance to retail and logistics are adopting AI to solve problems, automate processes, and create new products. With this growth comes the need for well-structured teams. But what does an AI department actually look like? Who does what? And how do all the moving parts come together to deliver business value? In this guide, we’ll explain modern AI team structures, break down the responsibilities of each role, explore how teams differ in startups versus enterprises, and highlight what UK employers are looking for. Whether you’re an applicant or an employer, this article will help you understand the anatomy of a successful AI department.