Data Analyst Apprentice

UK Hydrographic Office
£18,223.00 annual salary
09 Mar 2017
21 May 2017
Role Type
Start Date
The Data Analyst Apprenticeship is a level 4 Apprenticeship that will take about 2 years to complete. Whilst most of the training will be undertaken “on the job” or through specific training delivered within the team, Apprentices will also complete a course of study supported by our partnered provider to become an EMC: Data Science associate.

Apprentices will work in a range of teams, initially within the Marine Geospatial Data Management Group, to gain the knowledge and practical experience required in Data Analysis Tools and Data Analysis Concepts in order to successfully complete their apprenticeship. Apprentices will gain experience in using a range of bespoke databases and geospatial data management tools, handling hydrographic and feature data and thus contributing to the maintenance and production of the UKHO's products and services.

During the course of year 1, apprentices will undertake the following tasks;

  • Identify, collect and migrate data to/from a range of internal and external systems
  • Manipulate and link different data sets as required.
  • Interpret and apply the UKHO's data and information security standards, policies and procedures to data management activities
  • Collect and compile data from different sources
  • Perform database queries across multiple tables to extract data for analysis
  • Assist with the production of a range of ad-hoc and standard data analysis reports
  • Have an understanding of the quality issues that can arise with data and how to avoid and/or resolve these
  • Understand the differences between structured and unstructured data

During the course of year 2, apprentices will undertake the following tasks;

  • Perform routine statistical analyses and ad-hoc queries
  • 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
  • Assist production of performance dashboards and reports
  • Understand the fundamentals of data structures, database system design, implementation and maintenance.
  • Assist with data quality checking and cleansing
  • Apply the tools and techniques for data analysis, data visualisation and presentation
  • Summarise and present the results of data analysis to a range of stakeholders making recommendations
  • Identify the quality issues that can arise with data and how to avoid and/or resolve these
Requirements and prospects Desired skills
  • Making Effective Decisions
  • Collaborating and Partnering
  • Building Capability for All
  • Delivering at Pace
  • An aptitude for mathematics
  • Good IT skills: word processing, spreadsheet, email and internet
  • Good IT skills: word processing, spreadsheet, email and internet and ability to learn new software
Personal qualities
  • The ability to learn and apply new software
  • The ability to work accurately
  • The ability to work as part of a team
  • Good written and verbal communication skills
  • Experience or interest in learning how to write code
Qualifications required

Having attained, or working towards a level 3 qualification (e.g. A levels or equivalent, Level 3 Apprenticeship, etc.)

Future prospects Future Prospects will be discussed with the right candidate

Things to consider Apprenticeship National Minimum Wage (ANMW): From 1st October 2016 The National Minimum Wage (NMW) rate for apprentices is £3.40 per hour. From April 2017 this rises to £3.50 per hour. This applies to 16-18 year old apprentices and those aged 19 and over in the first year of their Apprenticeship. For all other apprentices the National Minimum wage appropriate to their age applies. The Minimum Wage for Apprentices applies to time spent on the job plus time spent training. For more information visit: Training on the Apprenticeships Programme for 16 to 18 year olds is a priority and fully-funded by Government. Training for Apprenticeships for those over this age is part funded, with employers expected to make a part or full contribution.

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