Data Analyst Graduate Apprentice

Job Advert Details

As a Data Analyst (Graduate Apprentice) you will be at the heart of our data and helping to shape the design, development, and delivery of reporting across Energetics. Reporting to the BI Manager, you will work closing with all departments and relevant stakeholders to gather, translate and build data requirements into user friendly and eye-catching reports using Qlik, amongst other platforms and systems. Utilising various analytical tools and techniques you will extract meaningful insights from our data, identify trends, and make data-driven recommendations to the business.

This is an excellent opportunity to work in a supportive, relaxed, yet committed environment, whereby you will be able to expand your personal skills and take them to the next level. You will explore and learn new technologies, ultimately setting yourself up for a successful and progressive career in Business Intelligence.

During your time working as a Graduate Apprentice with us, you will:

• Translate business needs to technical specifications
• Design, build and deploy BI solutions using Qlik Sense
• Conduct unit testing and troubleshooting
• Collaborate with teams to integrate and automate systems where possible
• Develop and execute database queries and conduct analyses
• Apply statistical analysis, data mining, and machine learning techniques to analyse large datasets, uncover patterns, correlations
• Create visualizations and reports for requested projects
• Develop and update technical documentation
• Stay updated on emerging trends, technologies, and best practices in data analytics and the utilities industry, applying new knowledge to drive innovation and process improvements

The below qualities are also required for the job:

• Willingness to learn
• Self-motivated
• Ability to problem solve
• Good written and oral communication skills including the ability to listen
• Good team working skills
• Able to deal effectively with the customer to deliver a professional service
• Good organisational skills
• Ability to build & maintain relationships

What will I learn?

As a Graduate Apprentice, studying Data Science, you are first and foremost a full-time employee. You will spend approximately 20% of your working time attending university lectures, tutorial and practical session, and carrying out assessments. As part of your 20% study time, you will also undertake work-based learning, where tasks and projects completed in your job role can count towards your degree.

This unique combination offers an integrated experience, where practical skills and knowledge gained during the university days can be embedded in your working practices. Skills learned directly in the workplace are aligned with and can be applied to coursework and assessment. This allows you to attain an honours degree in 4 years, the same time as traditional full-time students, whilst studying at Edinburgh Napier University.

Edinburgh Napier University is home to over 19,500 students from more than 140 countries, including over 450 Graduate Apprentices across Computing, Engineering and Business. We are the top ranked Scottish modern university in the Times Higher Education World University Rankings 2023. All learning takes place at our Merchiston campus, which is centrally located in the heart of Edinburgh. Merchiston campus is home to our creative, computing and engineering students. Facilities include modern classrooms and cutting-edge labs.

You will develop abilities across the core and emerging areas of data science including statistical techniques, data analytics, data engineering, as well as machine learning and artificial intelligence. You will gain the requisite underpinning technical knowledge combined with key capabilities in data governance and the application of ethics, and well-rounded professional skills and behaviours.

A key part of the Data Science GA is that each of the eight key content areas are combined to deliver a holistic learning experience. These are:

• Data Management
• Data Analytics
• Statistical Techniques
• Machine Learning and Artificial Intelligence
• Data Engineering
• Business Insights Through Data Science
• Data Protection and Ethics
• Data Science Professional Skills and Behaviours

As you progress through the course, more of your job role will be used to gain credit towards your final award. This is captured in the Professional Practice modules which allow us to personalise your learning to ensure it meets your needs, those of your employing organisation and the university.

What qualification or qualities are required?

To meet our Standard Entry Requirements you must have EITHER:

• Four SQA Highers at Grade BBBB (or equivalent) including Maths, Statistics or Physics. National 5 grade C in Maths/Lifeskills Maths/Applications of Maths and English are required if not taken at Higher
• A Foundation Apprenticeship in IT: Software Development at SCQF Level 6 plus two SQA Highers at Grade BB
• A Modern Apprenticeship at SCQF Level 6-7 in an ICT/Digital related discipline
• HNC or HND in an unrelated discipline plus Higher Maths, Statistics or Physics at Grade B
• Sufficient recognition of prior learning (RPL) through industry-related experience, qualifications, and informal learning. RPL applications are considered on an individual basis

You must be able to provide proof of any qualifications stated on your CV to meet university entry requirements.

Advanced entry into Year 2 or 3 is possible for students with suitable qualifications. If applying for advanced entry, you will need to provide sufficient evidence of qualifications and experience through our process of Recognition of Prior Learning (RPL). Applications are considered on an individual basis.

In return of your hard work and dedication, we can offer you: 

• Support for travel costs to university
• 25 days holiday, increasing after 2 years by 1 day each year up to 30 days, plus 9 public holidays
• Holiday buy scheme
• Discretionary bonus
• EV and ULEV salary sacrifice scheme (subject to minimum length of service)
• Cycle to work salary sacrifice scheme
• Up to 7% employer pension contribution 
• Life assurance (x4 annual basic salary) 
• Refer a friend incentive
• Wagestream
• Employee assistance programme

And once you have successfully completed your probation, you will have access to:

• Hybrid working (3 days in the office, 2 from home) 
• Flexible start and finish times
• Private medical insurance
• Company sick pay

At Last Mile Infrastructure Group, we are one of the UK’s largest Independent Network Owners, owning and operating in excess of 500,000 gas, electricity, water and wastewater connections serving residential and commercial customers.

Energetics Design & Build work with the UK’s leading housebuilders, construction firms and independent consulting companies. We provide gas, electricity and water connections to new residential and commercial developments for housing and construction customers across the North of England, North Wales, and Scotland.

It is our vision to be the UK’s leading independent multi-utility provider. People are our most valuable “asset” and therefore it is our mission to not only attract but retain the best talent to support delivery of our corporate business strategy and share our company’s success. To achieve this, we need to be at our very best in everything we do – and employ experienced, enthuastic and committed people.

At Energetics, we are committed to fostering an inclusive and diverse working environment, where employee wellbeing is at the forefront in making sure our people feel valued. We provide tailored ongoing training and development, but most importantly, long term career opportunities for you to Grow With Us. If you are motivated to succeed and have a ‘can-do’ attitude, we would love to hear from you!