Operations Analyst

Consult Energy UK
Leeds
11 months ago
Applications closed

Related Jobs

View all jobs

Farming Operations Data Analyst, Colchester, Essex

Data Analyst - Customer Success

Customer Success Data Analyst – Incident Insights

Operations Data Analyst - Power BI Dashboards & Forecasts

Operations Data Analyst (Special Projects)

Operations Data Analyst

Operations Analyst


Consult Energyare working with a supplier who is committed to supplying businesses with 100% clean, UK-generated energy. They are seeking an experiencedOperations Analystwho has strong knowledge inHalf Hourly Meteringto join the business. As an Operations Analyst, you will play a key role in optimising operational processes and ensuring the accuracy and integrity of data management for Half Hourly (HH) and NHH metering and assisting with COT’s, data flows and validating trades.


Key Responsibilities – Operations Analyst

  • Support maintenance of excellent settlement performance across both HH and NHH
  • Ensure accurate processing, validation, and submission of HH data to meet industry standards and regulatory requirements.
  • Collaborate with third-party vendors, to resolve any data discrepancies or issues.
  • Identify and implement improvements in processes to drive efficiency
  • Produce reports and analysis related to HH data, helping guide operational decision-making.
  • Support with wider operational supply tasks such as processing change of tenancies, metering siteworks and dealing with customer queries


Key Skills and Experience – Operations Analyst

  • Proven experience in a similar operations or data analyst role within the UK energy market is essential.
  • In-depth knowledge ofHalf Hourly Meteringprocesses, data flows, and systems, minimum of 3 years HH experience is essential.
  • Strong analytical skills with experience in data analysis, reporting. Advanced user of Excel or Google Sheets. SQL experience is desirable but not essential
  • Ability to communicate clearly with internal and external stakeholders.
  • A proactive, detail-oriented, and problem-solving mindset.
  • Fun and energetic approach to the working day.


Location– Fully remote with occasional travel to office (London)


Salary -£40k to £50k dependent on experience


Benefits

25 days annual leave plus bank holidays

Matched pension scheme

Buy and Sell holidays

Private Medical insurance


Operations Analyst

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.

Neurodiversity in Machine Learning Careers: Turning Different Thinking into a Superpower

Machine learning is about more than just models & metrics. It’s about spotting patterns others miss, asking better questions, challenging assumptions & building systems that work reliably in the real world. That makes it a natural home for many neurodivergent people. If you live with ADHD, autism or dyslexia, you may have been told your brain is “too distracted”, “too literal” or “too disorganised” for a technical career. In reality, many of the traits that can make school or traditional offices hard are exactly the traits that make for excellent ML engineers, applied scientists & MLOps specialists. This guide is written for neurodivergent ML job seekers in the UK. We’ll explore: What neurodiversity means in a machine learning context How ADHD, autism & dyslexia strengths map to ML roles Practical workplace adjustments you can ask for under UK law How to talk about neurodivergence in applications & interviews By the end, you’ll have a clearer sense of where you might thrive in ML – & how to turn “different thinking” into a genuine career advantage.

Machine Learning Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we move into 2026, the machine learning jobs market in the UK is going through another big shift. Foundation models and generative AI are everywhere, companies are under pressure to show real ROI from AI, and cloud costs are being scrutinised like never before. Some organisations are slowing hiring or merging teams. Others are doubling down on machine learning, MLOps and AI platform engineering to stay competitive. The end result? Fewer fluffy “AI” roles, more focused machine learning roles with clear ownership and expectations. Whether you are a machine learning job seeker planning your next move, or a recruiter trying to build ML teams, understanding the key machine learning hiring trends for 2026 will help you stay ahead.

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.