Lead Senior Recruiter
Data, Insight & Analytics
View profileData 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: Career progression example
Data Visualisation Salary Benchmarks
We’ve outlined the latest salary benchmarks for Data Visualisation roles in the guides below:
Data, Insight and Analytics Salary Guide
Data, Insight and Analytics Day Rate Guide
Data, Insight and Analytics Within Data Engineering Development Salary Guide
Data, Insight and Analytics Within Data Science Salary Guide
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.
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We don't currently have any Computer Vision jobs available.
Search all jobs“From finding me my current role to helping place two fantastic hires, ADLIB has been a pivotal role in the development of our team here at Bristol. The guys are easy to work with, friendly and most importantly inspire trust. I look forward to working with them in the future.”
Working with a recruitment partner like ADLIB means you’re working with a group of people who get to understand you and match candidates up with your culture and goals. ADLIB worked at a breakneck speed to introduce us to the marketing experts we needed to build our team in a matter of months. With their help we recruited and onboarded a new team much faster than planned and ended up spoilt for choice because of the way they work and market insights.
Average salaries and day rates for roles within data engineering & development.
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Average salaries and day rates typically received for Data, Insight and Analytics roles within Data Science.
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Average salaries and day rates typically received for Data, Insight and Analytics roles.
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Average salaries and day rates typically received for Data, Insight and Analytics roles.
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