Data Analyst

 

Level 4 APPRENTICESHIP

 

Funding: £15,000 via Apprenticeship Levy or £750 via 5% Co-investment Funding for small businesses

Awarding Organisation: Various

Level: 4

Duration: Approx. 24 months

 

The primary role of a Data Analyst is to collect, organise and study data to provide business insight. Data analysts are typically involved with managing, cleansing, abstracting and aggregating data, and conducting a range of analytical studies on that data. They work across a variety of projects, providing technical data solutions to a range of stakeholders/customers issues. They document and report the results of data analysis activities making recommendations to improve business performance. They have a good understanding of data structures, database systems and procedures and the range of analytical tools used to undertake a range of different types of analyses.

 

Candidates will cover these areas on their course:

 

Technical Competencies

 

  • 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 organisations 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
  • 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
  • Assist with data quality checking and cleansing
  • Apply the tools and techniques for data analysis, data visualisation and presentation
  • Assist with the production of a range of ad-hoc and standard data analysis reports
  • Summarise and present the results of data analysis to a range of stakeholders making recommendations
  • Works with the organisation's data architecture

 

Technical Knowledge and Understanding

 

  • The range of data protection and legal issues
  • The data life cycle
  • The different types of data, including open and public data, administrative data, and research data
  • The differences between structured and unstructured data
  • The fundamentals of data structures, database system design, implementation and maintenance
  • The importance of the domain context for data analytics
  • The quality issues that can arise with data and how to avoid and/or resolve these
  • The importance of clearly defining customer requirements for data analysis
  • The processes and tools used for data integration
  • The steps involved in carrying out routine data analysis tasks
  • How to use and apply industry standard tools and methods for data analysis

 

Underpinning Skills, Attitudes and Behaviours

 

  • Logical and creative thinking skills
  • Analytical and problem solving skills
  • Ability to work independently and to take responsibility
  • Can use own initiative
  • A thorough and organised approach
  • Ability to work with a range of internal and external people
  • Ability to communicate effectively in a variety of situations
  • Maintain productive, professional and secure working environment

 

 

 

CALL US on 0114 281 5761 to apply today or download an application form here.