Energy Data Analyst

Basingstoke
3 months ago
Applications closed

Related Jobs

View all jobs

Data Analyst – Asset Optimisation

Data Analyst – Asset Optimisation

SAP Master Data Analyst

Data Analyst - Power BI Specialist

ERP Data Analyst

HR Senior Data Analyst

Are you an experienced Energy Data Analyst seeking your next role? Are you an advanced practitioner of Excel? If the answer is yes, this may be the perfect opportunity for you.
This independent company provides extensive energy data management services, with intelligent analysis and reporting on energy trends for various organisations.
They are now wishing to recruit an additional Energy Analyst to join their team. This is a full time permanent opportunity offering hybrid working from their offices in Basingstoke.
Primary Responsibilities
The job holder will have assigned accounts and specified responsibilities within those accounts. This will include the collection of data from, variously, the client, utility suppliers and data collectors, received in various formats.
It is the responsibility of the analyst to review the received data for completeness and to carry out a first pass at checking for accuracy – highlighting any obvious errors or omissions and taking steps to have these corrected.
The job holder will be responsible for producing accurate and complete performance reports to specified deadlines. It is likely that they will have direct contact with the client and their responsibility in service provision extends to developing a robust and productive working relationship with the client.
Where the company has a requirement to provide invoice validation services, the analyst is responsible for collating energy data together with billing data to ensure that a full validation exercise can be undertaken, with the results of the validation available in (agreed) report format. The Data Analyst will be responsible for client liaison in most cases and will be responsible for contacting suppliers to arrange remedy, with the refunds and credits secured where applicable.
The Analyst is likely to be required, also, to undertake ad hoc analysis or other tasks; it is their responsibility to ensure that they fully understand the requirement and have the experience/capability to deliver.
Context
The role of the Energy Analyst is a fundamental one within the Bureau and underpins much of the output from the department. The Company has a hard-earned reputation for good customer service: delivering work on time and to a high standard, supporting our clients effectively wherever possible.
Central to this good reputation is accuracy and reliability - the job holder must take a high degree of responsibility for the data integrity of all their output, delivered punctually.
Relationships
Reporting to the Bureau Manager, the Analyst will also work closely with the team of consultants on certain assignments. Apart from their client contacts (internal or external) they will also be expected to build relationships with personnel within supplier organisations, to facilitate the process of obtaining data, or resolving queries, promptly and effectively.
Knowledge & Experience
The successful candidate will be a highly experienced Data Analyst with proven Energy industry experience and will be expected to be an intermediate/advanced practitioner of the Microsoft Office software suite – specifically Excel. – and have a working knowledge of Power BI, which is becoming increasingly important to the business. The Company uses invoice validation software and has its own building monitoring software platform, so an aptitude for software is as important as being comfortable with numbers.
The Data Analyst is required to take responsibility for the data with which they are working and is expected to show initiative where appropriate

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 Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.