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

Apply Now

Operations Analyst

Consult Energy UK
Sheffield
9 months ago
Applications closed

Related Jobs

View all jobs

Operations Data Analyst - Global Logistics

Ecommerce Data Analyst

Ecommerce Data Analyst

Data Analyst - Sales Operations

Farming Operations Data Analyst

Performance Data Analyst Operations · UK ·

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.

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

Summary: UK data science hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise rigorous problem framing, high‑quality analytics & modelling, experiment/causality, production awareness (MLOps), governance/ethics, and measurable product or commercial impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for product/data scientists, applied ML scientists, decision scientists, econometricians, growth/marketing analysts, and ML‑adjacent data scientists supporting LLM/AI products. Who this is for: Product/decision/data scientists, applied ML scientists, econometrics & causal inference specialists, experimentation leads, analytics engineers crossing into DS, ML generalists with strong statistics, and data scientists collaborating with platform/MLOps teams in the UK.

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.

Data Science Team Structures Explained: Who Does What in a Modern Data Science Department

Data science is one of the most in-demand, dynamic, and multidisciplinary areas in the UK tech and business landscape. Organisations from finance, retail, health, government, and beyond are using data to drive decisions, automate processes, personalise services, predict trends, detect fraud, and more. To do that well, companies don’t just need good data scientists; they need teams with clearly defined roles, responsibilities, workflows, collaboration, and governance. If you're aiming for a role in data science or recruiting for one, understanding the structure of a data science department—and who does what—can make all the difference. This article breaks down the key roles, how they interact across the lifecycle of a data science project, what skills and qualifications are typical in the UK, expected salary ranges, challenges, trends, and how to build or grow an effective team.