Operational Data Analyst

1 week ago


Bedford, Bedford, United Kingdom Rebel Energy UK Full time

Who are we?

Rebel Energy supplies clean, affordable energy to households in the UK. But there's a lot more to us than that. Our goal is to be the best possible energy supplier in the country. For our customers, our employees and the environment. So we've rebuilt

the energy company from the ground up. We're lean, customer-focused, powered by industry-leading automation, and a champion of social justice and employee

wellbeing.

We aim to do things right. As a pending Benefit Corporation, our principles are written into the legal structure of the business.

What does this mean in practice?

We supply 100% renewable UK-generated electricity. And even though we supply gas, we're working towards a future without fossil fuels.

– We want to end fuel poverty in the UK, so we offer unique tariffs and innovative pricing structures for people who are struggling.

– We invest in community-led carbon-removal projects in the UK.

About the role

Rebel Energy is seeking an experienced Operational Data Analyst to join the Operations team. The successful candidate will be responsible for analysing and interpreting energy and industry data to support operational decision making, improve business performance and optimise customer experience.

Role responsibilities

  • Collect, process, and analyze large datasets to identify trends, patterns, and insights.
  • Develop and maintain dashboards, reports, and visualisations to communicate data-driven insights to stakeholders.
  • Collaborate with cross-functional teams to identify opportunities for process improvement and cost reduction.
  • Monitor key performance indicators and provide actionable recommendations to improve operational efficiency.
  • Stay up-to-date with industry trends and developments to ensure data analysis methods are current and relevant.

Experience and qualifications

  • Previous experience in the Energy industry is highly desirable
  • Collect, process, and analyse large datasets to identify trends, patterns, and insights.
  • 2+ years of experience in data analysis, preferably in an operational or business context.
  • Proficiency in SQL and experience with data visualisation tools such as Power BI.
  • Strong analytical and problem-solving skills, with the ability to draw meaningful conclusions from complex data sets.
  • Excellent communication and collaboration skills, with the ability to work effectively in a team environment.

What is it like to work at Rebel?

We want to be the best possible employer in the energy industry, which is why we offer lots of great benefits (see the bullet points below). Just as importantly, it's about our approach. We empower our employees and care for their health and wellbeing.

What are the benefits?

Responsibility and trust

To thrive at work, people need freedom, clarity, trust and space. The balance is

different for everybody, and we pride ourselves on trying to work out what's right for each of our people.

A happy and fulfilling job

This is different for everybody. Some people will give everything to Rebel. Others are strictly part time. But we want everybody to enjoy what they do and who they work with – and to finish the day feeling that they've achieved something.

'Servant leadership'

We give our people plenty of responsibility, but we don't let the sky fall on their

heads if (when) they make mistakes. In textbooks, this is called 'servant leadership'.

It means leading by supporting and empowering. And it's reflected everywhere in

the business.

Other benefits:

Inclusive, collaborative and friendly work environment

– Competitive salary

– Flexible working hours and hybrid working with laptops and all required hardware

– Investment in personal and professional development

– Ample leave. And we encourage all of our people to take a minimum of one complete week off each quarter to fully recharge.

– Generous maternity, paternity and adoption leave

– BUPA healthcare and a pension plan with employee contribution



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