Data Analyst
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.
Typical Job Roles: Data Analyst, Data Manager, Data Scientist, Data Modeller, Data Architect, Data Engineer
Skills
- 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
Knowledge
- 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
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
Entry Requirements
Individual employers will set the selection criteria, but this might include five GCSEs and/or A levels; a Level 3 Apprenticeship; other relevant qualifications and experience; or an aptitude test with a focus on functional maths.
Duration
The duration of this apprenticeship is typically 24 months .
Professional Qualification / Recognition
This is a level 4 apprenticeship.
This apprenticeship is recognised for entry onto the Register of IT Technicians confirming SFIA level 3 professional competence and those completing the apprenticeship are eligible to apply for registration.
Originally published on Gov.uk, this information has been re-used under the terms of the Open Government Licence.
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