data analyst
Data Analyst

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.
  • Data Analyst
 
  • Data Manager
 
  • Data Scientist
 
  • Data Modeller
 
  • Data Architect
 
  • Data Engineer
  • 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

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