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Data Analyst

Role Profile

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 Titles

Data Analyst, Data Manager, Data Scientist, Data Modeller, Data Architect, Data Engineer

Duration

24+ months

Level

4

Technical Competencies

Be able to undertake the following in line with organisational procedures and under supervision
  • 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 & 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 & 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

Downloads

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Standard - Data Analyst
Occupational Brief - Data Analyst
Assessment Plan - Data Analyst

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