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

Apply Now

Data Analyst

Future Engineering Recruitment Ltd
London
3 months ago
Applications closed

Related Jobs

View all jobs

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst
London
£30,000 - £40,000 Basic + Hybrid Working + Growth Opportunities + Immediate Start


Are you a detail-driven Data Analyst with a knack for turning numbers into meaningful insights? This is your chance to join a growing, forward-thinking energy management provider where your work will directly help businesses reduce costs and improve sustainability.


In this role, as a Data Analyst, you'll manage and analyse large datasets from multiple sources, ensuring accuracy, spotting trends, and providing actionable reports to help clients make informed energy decisions.You'll be part of a collaborative team working across analytics, engineering, and client services — with the flexibility to work from home and develop your skills in a thriving sector.


Your Role as a Data Analyst Will Include:


* Managing and validating energy consumption and billing data from multiple suppliers
* Producing accurate, insightful reports and dashboards for clients and stakeholders
* Monitoring and auditing data quality to ensure compliance and accuracy
* Developing and supporting automated reporting processes
* Creating visualisations and KPIs to track energy efficiency improvements
* Liaising with clients to understand data needs and present findings clearly


As A Data Analyst You Will Have:


* Proven experience in data analysis, ideally within the energy, utilities, or sustainability sectors
* Strong Excel and data visualisation skills (Power BI, Tableau, or similar)
* Ability to manage multiple data sources and ensure accuracy under deadlines
* Excellent communication skills for liaising with internal teams and clients
* Degree in a relevant field (data, engineering, environmental science, etc.) preferred


Apply now or contact Billy on for immediate consideration.

Keywords: Energy Data Analyst, Data Analyst, Energy Analyst, Bureau Analyst, Energy Reporting Analyst, Sustainability Data Analyst, BMS Data Analyst, Energy Monitoring, Energy Reporting, Energy Efficiency Analyst, Central London, City of London, West End, Canary Wharf, London Bridge, Paddington, Tottenham Court Road, Greater London, East London


This vacancy is being advertised by Future Engineering Recruitment Ltd.The services of Future Engineering Recruitment Ltd are that of an Employment Agency.


Future Engineering Recruitment Ltd can only accept applications from candidates who have a valid legal permit or right to work in the United Kingdom.Potential candidates who do not have this right or permit, or are pending an application to obtain this right or permit should not apply as your details will not be processed.


#J-18808-Ljbffr

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.