Data Analyst Apprentice

This is a brand new role in a rapidly growing business, so you will be working with the Finance Director and Commercial manager to build a reporting structure from the ground up.

Please note that this is an apprenticeship position and therefore anyone with more than six months of professional experience working as a data analyst or who holds a degree or Master’s degree in a subject such as Data Science, Business Analytics, Maths will not be eligible.

You will also need to commit to completing a Level 4 Data Analyst Apprenticeship.

The Role

As a data analyst, you would collect numerical information and present results. Usually this would be in the form of reports, graphs and charts. The data can involve Customers, Tendering, Revenue & Costs or Logistics and be used to boost productivity/revenue, improve decision making and reduce costs.

You will also get the opportunity to enter into a Data apprenticeship with formal study and training. You will gain/improve skills in SQL, Data visualisation, Advanced BI and Machine learning.

Key Responsibilities

• Work with business management to design & build reporting dashboards.
• Interpret data, analyse results and provide ongoing reports with actionable output.
• Help to automate manual processes within the Commercial, Finance and Operational Teams involving data.
• Identify, analyse and interpret trends or patterns in complex datasets.
• Locate and define new process improvement opportunities.

Candidate Profile

• A proven interest in a career in data analysis (this could be from formal studies, self-study or the workplace)
• A proven passion for data/numbers (this could be from formal studies, self-study or the workplace)
• Proficient in Microsoft Office, including Word, Excel, and Outlook.
• Open-minded and supportive team player with strong communication skills.
• Proficient at prioritising tasks and consistently meeting deadlines.
• Ability to identify process improvements and help implement solutions.
• Ability to work as part of a team and independently.
• An eye for detail and commercially aware.
• Experience of using data tools such as SQL, Python, Power BI (or equivalent), preferable but not essential.

• Communication skills
• IT skills
• Attention to detail
• Organisation skills
• Problem solving skills
• Number skills
• Analytical skills
• Logical
• Team working
• Initiative
• Non judgemental
• Patience

• 7 GCSEs (or equivalent) inc Maths and English GCSE, grade A*- C / 9-4 (or equivalent) (Essential)
• STEM Subjects A Level, grade A - C (Essential)