Data Analyst

The primary role of a data analyst is to collect, organise and study data to provide new business insight.

Software Engineering

The primary role of a data analyst is to collect, organise and study data to provide new business insight. 

Data Analysts are responsible for providing up-to-date, accurate and relevant data analysis for the organisation. They are typically involved with managing, cleansing, abstracting and aggregating data across the network infrastructure. They have a good understanding of data structures, software development procedures and the range of analytical tools used to undertake a wide range of standard and custom analytical studies, providing data solutions to a range of business issues. They document and report the results of data analysis activities making recommendations to improve business performance. They need a broad grounding in technology solutions to be effective in their role.

Skills

Be able to:

Import, cleanse, transform, and validate data with the purpose of understanding or making conclusions from the data for business decision making purposes.

Present data visualisation using charts, graphs, tables, and more sophisticated visualisation tools.

U

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.

i

Report on conclusions gained from analysing data using a range of statistical software tools.

Summarise and present results to a range of stakeholders making recommendations.

Required Technical Knowledge and Understanding

  • The quality issues that can arise with data and how to avoid and/or resolve these.
  • The processes involved in carrying out data analysis projects.
  • How to use and apply industry standard tools and methods for data analysis.
  • The range of data protection and legal issues.
  • The fundamentals of data structures, database system design, implementation and maintenance.
  • The organisation’s data architecture.

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