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      Data Analyst Apprentice – Manchester

      Hexagon Data Services

      Level 4 Data Analyst

      Company: Hexagon Data Services

      Full Address: WeWork, Spinningfields, 1 Quay St, Manchester M3 3JE

      Weekly Hours Worked: Monday – Friday 9am to 5pm

      Salary: 16-20k dependant on experience

      Please contact Tom on or call 01133 500 333

      About the company:

      Hexagon Data Services has been supporting clients in a range of industries, from education to public sector and management consultancy, for over 3 years. We specialise in tailored data solutions that use the latest and best cloud technologies. Through our WeWork office provider, we offer a modern and flexible working environment.

      Brief job description:

      Estio Training have an exciting new opportunity for a Data Analyst apprentice with Hexagon Data Services based in Manchester

      Job Description:

      We are looking for a passionate Data Analyst. The successful candidate will have a keen eye for detail, a willingness to learn and an understanding of the link between data, insights, and business decisions.

      Your duties and responsibilities in this role will consist of:

      Data Analyst Job Duties Junior Data Analyst responsibilities involve taking part in full lifecycle analysis to include requirement gathering, design and delivery. Junior Data Analysts will develop data analytics and reporting solutions. They will also monitor performance and quality control plans to maintain robust data integrity and consistency.


      • Develop and implement databases, data collection systems and data engineering solutions that optimise reporting efficiency and clarity.
      • Acquire data from primary or secondary data sources and maintain databases/data lakes.
      • Build visually compelling dashboards and reports, with an emphasis on data storytelling, to help end-users get more value from their data.
      • Identify, analyse, and interpret trends or patterns in complex data sets.
      • Filter and “clean” data by reviewing raw data, reports, and performance indicators to locate and correct code problems.
      • Work with management to prioritise business and information needs.
      • Locate and define new process improvement opportunities.


      • 5 GCSEs grades A*-C/9-4 or equivalent (including English Language and Maths)

      Skills & Qualities Required:

      • A good understanding of data concepts, particularly around structured and semi-structured data sets.
      • Theoretical knowledge of SQL language. Any working experience would be a plus.
      • Knowledge of at least one programming language. Python, R, Java, C#, etc…
      • Proficiency in the use of Microsoft Excel.
      • Experience of Microsoft Power BI would be a plus.
      • Understanding of ETL platforms would be a plus.
      • Strong analytical skills with the ability to collect, organise, analyse, and disseminate significant amounts of information with attention to detail and accuracy.
      • Good level of Maths.
      • Level 3 qualification in a Maths or Computing related subject.

      Future prospects:

      The role offers long term security and the opportunity to progress into a permanent position.

      Training to be provided:

      Estio apprenticeship training programmes are delivered virtually by our fully qualified and industry experienced training team. Using their expert knowledge, we’ve purposefully built our programmes around the real-world use of modern technology, so that the skills we create can be directly applied in the workplace.

      Throughout the apprenticeship learners receive coaching, help and guidance from a dedicated team who are there to ensure they get the most from their work experience.

      Successful completion of this apprenticeship gives you an accredited Level 4 Data Analyst, with training in how to:

      • Ascertain how data can be used to answer questions and solve problems.
      • Gather, inspect, cleanse, transform and model data to identify patterns and trends.
      • Present data and produce dashboards and reports to aid visualization and comparison.
      • Use advanced theory and diverse techniques to harness greater understanding.
      • Inform decision-making and make recommendations using an evidence-based approach.
      • Ensure your business processes and procedures are compliant with data protection legislation.

      For a full list of programme modules visit:

      To apply for this job email your details to