Data Analyst

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, * 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

GCSE or equivalent in:

• English (grade 9-4)
• Maths (grade 9-4)

A Level or equivalent in: Maths, Science or Engineering (grade Pass)

Share if you have other relevant qualifications and industry experience. The apprenticeship can be adjusted to reflect what you already know., * Communication skills

• IT skills
• Attention to detail
• Organisation skills
• Customer care skills
• Problem solving skills
• Presentation skills
• Administrative skills

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.