Data Analyst - Energy and Smart Engineering in City of Westminster

Data Analyst - Energy and Smart Engineering in City of Westminster

City of Westminster Full-Time 36900 - 45100 £ / year (est.) Home office (partial)
B

At a Glance

  • Tasks: Analyse energy and asset data to provide actionable insights for smarter decision-making.
  • Company: Join Bellrock Group, a leader in data-driven Facilities Management.
  • Benefits: Enjoy 25 days leave, health cover, flexible working, and more perks.
  • Other info: Collaborative environment with opportunities for continuous learning and career growth.
  • Why this job: Make a real impact on sustainability and efficiency in major UK properties.
  • Qualifications: Experience in data analysis or strong transferable skills; familiarity with BI tools is a plus.

The predicted salary is between 36900 - 45100 £ per year.

  • Data Analyst - Energy and Smart Engineering
  • London | Hybrid

Role Overview

Bellrock Group’s Canary Lab is shaping the future of data-driven Facilities Management by turning building, asset and environmental data into actionable insights.

As an Analytics & Insights Analyst, you’ll analyse energy, BMS, asset performance, indoor environmental quality and FM data to identify risks, inefficiencies and opportunities.

Your insights will support smarter decisions, helping clients reduce costs and carbon, improve comfort and compliance, and extend asset life across major UK property portfolios.

Key Responsibilities

You will produce accurate, timely and commercially relevant insights that help clients and operational teams make better decisions.

Working closely with analysts, FM teams and technology platforms, you’ll validate and interpret data, turning it into clear recommendations and practical actions.

  • Analyse energy, BMS, IEQ, asset and FM operational data across multiple client portfolios.
  • Produce high-quality dashboards, reports, commentary and prioritised recommendations.
  • Support the development of Power BI reporting, insight summaries and performance narratives.
  • Identify trends, anomalies, risks and opportunities relating to energy use, asset performance, comfort and operational efficiency.
  • Translate complex findings into clear, action-focused insights for non-technical stakeholders.
  • Use platforms including Concerto, Power BI, Demand Logic, Tapp+, Clearworld, Pulse and Carrot, alongside Io T sensors and Bellrock’s remote Triage Bureau.
  • Work with FM teams, supply chain partners and the Bellrock Bureau to turn insights into operational action.
  • Escalate data quality issues and risks with clear evidence and recommendations.
  • Help improve analytics processes, dashboards, rules and automation.
  • Maintain strong data integrity, documentation and analytical governance.

Skills & Experience

  • Experience in analytics, data analysis or performance reporting within FM, property, energy, sustainability or operational environments (or strong transferable skills).
  • Familiarity with BI tools (Power BI preferred) and data analysis techniques.
  • Understanding of energy data, asset performance, BMS or FM data is advantageous but not essential.
  • Experience working with CAFM/IWMS, Io T, BMS or operational datasets is desirable.
  • Strong analytical thinking with the ability to interrogate data and challenge assumptions.
  • Confidence working with time-series and operational datasets and explaining results clearly.
  • Ability to balance detail with commercial relevance, focusing on what matters most to the client.
  • Willingness to learn new platforms, technologies and FM concepts in a fast-moving environment.
  • Collaborative mindset, working effectively with analysts, engineers, consultants and operational teams.

AI fluency & learning mindset: We are looking for people who actively use AI in their day‑to‑day work, demonstrate strong curiosity about new technologies, and take ownership for continuously improving how they think, work, and deliver.

Working arrangements

We embrace smarter working practices which offer our employees the opportunity to work their hours flexibly and remotely where their roles and business needs allow.

In this role, the successful candidate would be required to work between the London office and your home address on a hybrid basis, Monday to Friday, 09:00-17:00.

What can we offer you?

  • Upon joining Bellrock, you can expect a comprehensive benefits package including:
  • 25 days annual leave plus bank holidays + 1 additional day as a thank you (enjoy it, it’s on us)
  • Salary exchange pension scheme
  • Life cover
  • Paid sick leave
  • Health Assured employee assistance and wellness program
  • Enhanced maternity, paternity and adoption leave
  • Salary sacrifice schemes: Cycle to work
  • Holiday purchase scheme of additional 5 days per year
  • Offers and discount scheme designed to save money on everyday shopping and essentials
  • Healthcare Cashplan
  • Motor Save Scheme
  • Refer a friend
  • Liftshare
  • Virtual GP

Why Bellrock?

At Bellrock, our people make the difference.

We support organisations across the UK with property, facilities management, compliance, engineering and technology services, helping our customers create safer, smarter and more sustainable environments.

We're committed to creating a workplace where people feel supported, respected and able to develop their careers.

If you're looking for a business where your contribution is valued and where you can continue to learn and grow, we'd love to hear from you.

Inclusion

We welcome applications from people of all backgrounds and experiences and are committed to providing a fair and accessible recruitment process for everyone.

#J-18808-Ljbffr

Data Analyst - Energy and Smart Engineering in City of Westminster employer: Bellrock

At Bellrock, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters professional growth and development. Our comprehensive benefits package, including flexible working arrangements and a strong commitment to employee well-being, ensures that our team members feel valued and supported while managing prestigious commercial properties in London. Join us to be part of a forward-thinking company that prioritises sustainability and innovation in the facilities management sector.

B

Contact Details:

Bellrock Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Analyst - Energy and Smart Engineering in City of Westminster

Get Involved in Data Science Meetups

Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Bellrock!

Show Off Your Projects

Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Analyst - Energy and Smart Engineering at Bellrock.

Leverage Professional Networks

Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Bellrock.

Apply Directly through Our Website

When you find a suitable opening like Data Analyst - Energy and Smart Engineering at Bellrock, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace Data Analyst - Energy and Smart Engineering in City of Westminster

Data Analysis
Power BI
Analytical Thinking
Energy Data Analysis
BMS (Building Management Systems)
CAFM/IWMS Familiarity
IoT (Internet of Things)

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!

Craft a Tailored Cover Letter:For a full-time role at Bellrock, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Bellrock. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at Bellrock

Brush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

Showcase Your Projects

Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!

Get Comfortable with Python and R

Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Bellrock!

Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.