Sustainability Data Analyst

Walton, Peterborough
1 week ago
Applications closed

Related Jobs

View all jobs

Product Data Analyst | Cambridge | Climate Risk

Data Analyst (Maternity Cover)

Supplier Data Analyst

Senior Assets & Sustainability Manager

Data Analytics Manager

Digital and IT Intern- Data Science

Sustainability Data Analyst

Location: This position is hybrid, and can be based in Manchester, Stoke-On-Trent, Peterborough or Tunbridge Wells

Salary: £32,000 - £37,000

Markerstudy Group is seeking an individual to join our growing sustainability team. In this role you will report directly to the Group Head of Sustainable Business Strategy and work closely with the Chief Sustainability Officer, and sustainability team, to drive sustainability initiatives across the organisation. You will play a pivotal role in data collection, analysis and project management contributing to the group’s overall sustainability objectives.

Key Responsibilities:

  • Data Collection and Analysis – Implementing robust data collection processes, develop and maintain dashboards and regular reports for:

    • Group Carbon Footprint

    • Sustainable Supply Chain Programme

    • External reporting requirements

  • Performance Monitoring – Provide insights and analysis to drive success against group targets.

    • Sustainable Supply Chain

    • Internal/external sustainability KPIs

  • Identifying and Leading Projects – Utilising the available data and with knowledge of the group’s ambition you will have the opportunity to develop and lead meaningful sustainability projects across the group and engaging senior stakeholders.

    • Interpreting reports and trends to form suggestions for projects

    • Taking a lead role in delivering projects and campaigns

  • Support Net Zero Champions and Working Groups

    • Become an active member and champion of our working groups and volunteering initiatives

      Skills/Experience Required:

  • Genuine interest in sustainability

  • General understanding of current reporting requirements and voluntary submissions

  • Experience in data collection, analysis and reporting

  • Strong evaluation skills

  • Strong communicator and ability to build excellent relationships

    Desired:

  • Project management experience

  • Exposure to procurement or supply chain departments

  • Technical background

    Applications that are shortlisted will go through a two stage interview process.

    1st stage - 30-minute MS teams interview with the hiring manager

    2nd stage - 45-minute MS teams interview with stakeholders

    #LI-Hybrid

Get the latest insights and jobs direct. Sign up for our newsletter.

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

Industry Insights

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

Machine‑Learning Jobs for Non‑Technical Professionals: Where Do You Fit In?

The Model Needs More Than Math When ChatGPT went viral and London start‑ups raised seed rounds around “foundation models,” many professionals asked, “Do I need to learn PyTorch to work in machine learning?” The answer is no. According to the Turing Institute’s UK ML Industry Survey 2024, 39 % of advertised ML roles focus on strategy, compliance, product or operations rather than writing code. As models move from proof‑of‑concept to production, demand surges for specialists who translate algorithms into business value, manage risk and drive adoption. This guide reveals the fastest‑growing non‑coding ML roles, the transferable skills you may already have, real transition stories and a 90‑day action plan—no gradient descent necessary.

Quantexa Machine‑Learning Jobs in 2025: Your Complete UK Guide to Joining the Decision‑Intelligence Revolution

Money‑laundering rings, sanctioned entities, synthetic identities—complex risks hide in plain sight inside data. Quantexa, a London‑born scale‑up now valued at US $2.2 bn (Series F, August 2024), solves that problem with contextual decision‑intelligence (DI): graph analytics, entity resolution and machine learning stitched into a single platform. Banks, insurers, telecoms and governments from HSBC to HMRC use Quantexa to spot fraud, combat financial crime and optimise customer engagement. With the launch of Quantexa AI Studio in February 2025—bringing generative AI co‑pilots and large‑scale Graph Neural Networks (GNNs) to the platform—the company is hiring at record pace. The Quantexa careers portal lists 450+ open roles worldwide, over 220 in the UK across data science, software engineering, ML Ops and client delivery. Whether you are a graduate data scientist fluent in Python, a Scala veteran who loves Spark or a solutions architect who can turn messy data into knowledge graphs, this guide explains how to land a Quantexa machine‑learning job in 2025.

Machine Learning vs. Deep Learning vs. MLOps Jobs: Which Path Should You Choose?

Machine Learning (ML) continues to transform how businesses operate, from personalised product recommendations to automated fraud detection. As ML adoption accelerates in nearly every industry—finance, healthcare, retail, automotive, and beyond—the demand for professionals with specialised ML skills is surging. Yet as you browse Machine Learning jobs on www.machinelearningjobs.co.uk, you may encounter multiple sub-disciplines, such as Deep Learning and MLOps. Each of these fields offers unique challenges, requires a distinct skill set, and can lead to a rewarding career path. So how do Machine Learning, Deep Learning, and MLOps differ? And which area best aligns with your talents and aspirations? This comprehensive guide will define each field, highlight overlaps and differences, discuss salary ranges and typical responsibilities, and explore real-world examples. By the end, you’ll have a clearer vision of which career track suits you—whether you prefer building foundational ML models, pushing the boundaries of neural network performance, or orchestrating robust ML pipelines at scale.