Data Visualisation jobs and careers

Data visualisation enables organisations to achieve their objectives more effectively by presenting data in an ‘easier to read’ way, meaning technical and non-technical people alike (such as stakeholders) can better understand and make use of their data. It helps identify areas for improvement across the business and communicates insights in a clear, universal manner.

Why consider a career as a Data Visualisation Developer / Analyst Engineer?

In today’s data-driven world, data visualisation is a key tool. It supports strategic decision-making and business intelligence, offering a wide range of exciting opportunities and avenues for career progression.

Typical role Data Visualisation titles include

  • Data Visualisation Developer
  • Data Visualisation Programmer
  • QlikView Developer
  • QlikView Programmer
  • Qlik Sense Developer
  • Power BI Developer
  • Power BI Programmer
  • Tableau Developer
  • Tableau Programmer
  • Business Intelligence (BI) Developer
  • BI Programmer
  • SQL Developer
  • SQL Programmer
  • Data Warehouse (DWH) Developer
  • DWH Designer
  • Data Analyst
  • Spotfire Developer
  • MicroStrategy Developer

Data Visualisation: Career progression example

  • Data Visualisation Developer
  • Lead Visualisation Developer
  • Senior Data Visualisation Developer
  • Head of Data Visualisation

Data Visualisation: Is it right for me? The skills it takes…

The skills required for a successful career in data visualisation typically fall into three categories: programming skills, critical thinking skills, and data analysis skills.

Programming Skills: Data Modelling and Data Warehousing | ETL (Extract, Transform, Load) and Data Integration | OLAP Models and Semantic Layers | Reporting, Dashboards, and Presentation Layers | Master Data Management and Metadata Management | Predictive Analytics and Data Mining | Big Data and Streaming Data | SQL, PL/SQL | Tableau | QlikView / Qlik Sense | MicroStrategy

Critical Thinking Skills: Analytical Thinking | Applying Standards | Information Seeking | Logical Reasoning | Forecasting and Predictive Thinking | Translating and Communicating Data Insights

Data Analysis Skills: Proficiency in scripting and statistical languages | Experience with tools such as Adobe Analytics and Google Analytics | Skilled in data visualisation and reporting platforms, with strong presentation abilities | An analytical and creative mindset | Advanced Excel skills | Strong SQL (Structured Query Language) capabilities

 What qualifications does it take for a career in Data Visualisation?

A Bachelor’s degree (or equivalent undergraduate qualification) in a subject focusing on analytics, such as Mathematics, Statistics, Computer Science, or a related field (perhaps even Data Analytics or similar) is often required.

Our Data, Insight & Analytics recruitment team

  • Lead Senior Recruiter

    Data, Insight & Analytics

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    Tegan Fenn

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