Energy Billing Analyst Apprentice
OPTIMISED GROUP LIMITED
Bristol (BS1 4EX)
Closes in 17 days (Monday 16 March 2026)
Posted on 26 February 2026
Contents
Summary
This apprenticeship is ideal for someone who is curious about working with data, naturally analytical, proactive and highly detail-oriented, and who is keen to build strong communication and stakeholder management skills alongside their technical development.
- Wage
-
£18,000 a year
- Training course
- Data analyst (level 4)
- Hours
-
Monday to Friday, 9am to 5:30pm (including a 1-hour lunch break).
37 hours 30 minutes a week
- Start date
-
Friday 1 May 2026
- Duration
-
2 years
- Positions available
-
1
Work
Most of your apprenticeship is spent working. You’ll learn on the job by getting hands-on experience.
What you'll do at work
As an Energy Billing Analyst Apprentice within our Energy Bureau, you’ll play a vital role in delivering exceptional service to our clients. From validating utility invoices and meter readings to producing insightful portfolio-wide reports, your work will directly support accuracy, transparency and informed decision-making. You’ll also manage tenancy changes, resolve billing discrepancies and help ensure our internal systems remain precise and up to date.
Where you'll work
Hanover House
Queen Charlotte Street
Bristol
BS1 4EX
Training
Apprenticeships include time away from working for specialist training. You’ll study to gain professional knowledge and skills.
Training provider
DIGITAL NATIVE (UK) LIMITED
Training course
Data analyst (level 4)
Understanding apprenticeship levels (opens in new tab)
What you'll learn
Course contents
- Use data systems securely to meet requirements and in line with organisational procedures and legislation including principles of Privacy by Design
- implement the stages of the data analysis lifecycle
- apply principles of data classification within data analysis activity
- analyse data sets taking account of different data structures and database designs
- assess the impact on user experience and domain context on data analysis activity
- identify and escalate quality risks in data analysis with suggested mitigation or resolutions as appropriate
- undertake customer requirements analysis and implement findings in data analytics planning and outputs
- identify data sources and the risks and challenges to combination within data analysis activity
- apply organizational architecture requirements to data analysis activities
- apply statistical methodologies to data analysis tasks
- apply predictive analytics in the collation and use of data
- collaborate and communicate with a range of internal and external stakeholders using appropriate styles and behaviours to suit the audience
- use a range of analytical techniques such as data mining, time series forecasting and modelling techniques to identify and predict trends and patterns in data
- collate and interpret qualitative and quantitative data and convert into infographics, reports, tables, dashboards and graphs
- select and apply the most appropriate data tools to achieve the optimum outcome
- Use data systems securely to meet requirements and in line with organisational procedures and legislation including principles of Privacy by Design
- implement the stages of the data analysis lifecycle
- apply principles of data classification within data analysis activity
- analyse data sets taking account of different data structures and database designs
- assess the impact on user experience and domain context on data analysis activity
- identify and escalate quality risks in data analysis with suggested mitigation or resolutions as appropriate
- undertake customer requirements analysis and implement findings in data analytics planning and outputs
- identify data sources and the risks and challenges to combination within data analysis activity
- apply organizational architecture requirements to data analysis activities
- apply statistical methodologies to data analysis tasks
- apply predictive analytics in the collation and use of data
- collaborate and communicate with a range of internal and external stakeholders using appropriate styles and behaviours to suit the audience
- use a range of analytical techniques such as data mining, time series forecasting and modelling techniques to identify and predict trends and patterns in data
- collate and interpret qualitative and quantitative data and convert into infographics, reports, tables, dashboards and graphs
- select and apply the most appropriate data tools to achieve the optimum outcome
Training schedule
Data Analyst Level 4.
Requirements
Share if you have other relevant qualifications and industry experience. The apprenticeship can be adjusted to reflect what you already know.
Skills
- Communication skills
- Attention to detail
- Organisation skills
- Customer care skills
- Number skills
- Analytical skills
- Team working
- Initiative
About this employer
We are Optimised, a team of over 160 people driven by passion to create a positive impact and make a real difference in the world!
With offices across the UK in Ashby, Blackpool, Bristol, and Sittingbourne, and our team of engineers working nationwide, we pride ourselves on delivering impactful solutions to optimise the world's transition to net zero and beyond.
We recognise that the climate emergency is the greatest challenge of our generation, and we're driven both personally and professionally to be a force for positive change.
We deliver a range of integrated energy and sustainability solutions spanning Carbon Impact, Utility Management and Building Optimisation that help our clients achieve their decarbonisation goals whilst delivering significant returns on investment.
As a certified B Corp, we place purpose before profit, upholding the highest standards of social and environmental performance, diversity, inclusion, and accountability in everything we do.
At Optimised, we know that our people are our greatest asset. That's why we offer a flexible, fun, and supportive environment where everyone has the opportunity to perform to their best. We're always looking for individuals who share our values and are passionate about making a positive impact.
https://www.optimised.net/ (opens in new tab)
Disability Confident
A fair proportion of interviews for this apprenticeship will be offered to applicants with a disability or long-term health condition. This includes non-visible disabilities and conditions.
You can choose to be considered for an interview under the Disability Confident scheme. You’ll need to meet the essential requirements to be considered for an interview.
After this apprenticeship
This role could lead to an Energy Billing Analyst or other analytical role within the business.
Ask a question
The contact for this apprenticeship is:
OPTIMISED GROUP LIMITED
Ben Morrison
hr@optimised.net
The reference code for this apprenticeship is VAC2000016845.
Apply now
Closes in 17 days (Monday 16 March 2026)
After signing in, you’ll apply for this apprenticeship on the company's website.