Apprentice Asset Manager
Hartree Partners
UK (BB4 6HH)
Closes in 6 days (Sunday 23 November 2025)
Posted on 11 November 2025
Contents
Summary
Are you looking to build a long-term career in Data Analyst? Then look no further! Start your career today with a Level 4 Data Analyst apprenticeship with Hartree Partners and Kaplan. You will support the data team in data analytics.
- Wage
-
£24,000 a year
- Training course
- Data analyst (level 4)
- Hours
-
Monday to Friday
Shifts to be confirmed
37 hours a week
- Start date
-
Monday 1 December 2025
- Duration
-
1 year 6 months
- 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 Trainee Asset Manager, you will support the day-to-day management, performance monitoring, and optimisation of a portfolio of gas peaking power plants across the UK. You will work closely with the Head of Asset Management, Operations & Maintenance (O&M) providers, operations and commercial teams to ensure the assets deliver maximum reliability, availability, and financial performance in line with company objectives. This is an excellent opportunity for a technically minded and commercially aware trainee seeking to develop their career within the energy and power generation sector. Responsibilities will include:
- Support the Asset Manager in overseeing the operational performance of multiple gas peaking sites
- Monitor asset performance, efficiency, and reliability through SCADA and data analytics systems
- Liaise with our asset managers to ensure planned and reactive maintenance activities are completed safely, efficiently, and on schedule
- Review and analyse performance data to identify trends, underperformance, and opportunities for optimisation
- Assist with preparing reports on asset performance, availability, and key operational metrics
- Contribute to budgeting, forecasting, and lifecycle cost analysis for the asset portfolio
- Support compliance with health, safety, environmental, and regulatory standards (including G99, HSE, EA, and Ofgem requirements)
- Assist with outage planning, project delivery, and site upgrades or modifications
- Coordinate with commercial and trading teams to optimise dispatch and maximise revenue from market participation (e.g., Capacity Market, Balancing Mechanism)
- Maintain accurate asset documentation, maintenance records, and performance logs
- Support the development and implementation of asset management strategies and continuous improvement initiatives
Where you'll work
Suite 20, Hardmans Business Centre, New Hall Hay Road,
Rawtenshall
Lancashire
UK
BB4 6HH
Training
Apprenticeships include time away from working for specialist training. You’ll study to gain professional knowledge and skills.
Training provider
KAPLAN FINANCIAL 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: Ideal for new talent in the organisation with an active interest in data or existing staff taking on a more data centric role or Junior/aspiring Data Analysts working in any industry or sector
- Our Data Analyst apprenticeship programme integrates six modules of technical training with work based projects. This ensures that learning and skills are directly applied to the apprentice’s role, and maximises the time used as part of off-the-job training. Microsoft Office Specialist: Excel Associate. Data and Visualisation using SAS® Data Analysis and Statistics SQL and Data Modelling Exploring Data Science using Python and R Data Challenge workshop Online development sessions (Optional) An apprenticeship has to be relevant to the job you are undertaking and you must dedicate 20% of your time towards it
Requirements
Essential qualifications
GCSE or equivalent in:
- English (grade 9-4)
- Maths (grade 9-4)
A Level or equivalent in:
Share if you have other relevant qualifications and industry experience. The apprenticeship can be adjusted to reflect what you already know.
Skills
- Communication skills
- IT skills
- Attention to detail
- Organisation skills
- Customer care skills
- Problem solving skills
- Presentation skills
- Administrative skills
Other requirements
Working fully in the office at first then can work hybrid after some time. 25 days holiday. Pension available.
About this employer
Hartree Partners is a global energy and commodities trading firm built on integrity and collaboration. Founded in 1997 and privately held by its management and Oaktree, we have over 900 professionals operating across more than 20 business lines worldwide.Our London office has a close-knit, family feel — a supportive, friendly environment where teamwork, learning, and innovation thrive. What sets us apart is our combination of deep expertise, diverse talent, and a strong culture of integrity.
After this apprenticeship
- Opportunities for professional development and career progression
Ask a question
The contact for this apprenticeship is:
KAPLAN FINANCIAL LIMITED
The reference code for this apprenticeship is VAC1000349589.
Apply now
Closes in 6 days (Sunday 23 November 2025)
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