Principal Recruiter
Data Platform & Architecture
View profileData Visualisation allows companies to more effectively achieve their goals through the display of their company data in pictorial and graphical formats. Data Visualisation can help identify areas of the business then need improvement and conveys these concepts in a universal manner.
Why consider a career as a Data Visualisation Developer / Analyst Engineer?
Data Visualisation is now a crucial tool in today’s data-driven business world, with a range of exciting opportunities and ways to progress.
Typical role titles include
Data Visualisation Developer
Data Visualisation Programmer
Qlik View Developer
Qlik View Programmer
Qlik Sense Developer
Qlik Sense Developer
Power BI Developer
Power BI Programmer
Tableau Developer
Tableau Programmer
Business Intelligence Developer
BI Developer
Business Intelligence Programmer
BI Programmer
SQL Developer
SQL Programmer
Data Warehouse Developer
DWH Developer
Data Warehouse Designer
DWH Designer
Data Analyst
Spotfire Developer
Microstrategy Developer
Career progression example
Data Visualisation Developer
Lead Visualisation Developer
Senior Data Visualisation Developer
Head of 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
Is it right for me? The skills it takes…
The skills needed can be split into 3 categories; programming skills, critical thinking skills and data analysis skills.
Programming skills: Data Modelling and Data Warehousing | ETL and Data Integration | OLAP Models Semantic Layer | Reporting | Dashboards and Presentation Layer | Master Data Management | Metadata Management | Predictive Analytics and Data Mining | Big Data and Streaming Data | SQL, PL/SQL | Tableau | Qlik View | Qlik Sense, Microstrategy.
Critical thinking skills: Analysing | Applying Standards | Information Seeking | Logical Reasoning | Predicting | Transforming Knowledge.
Data analysis skills: Learning a scripting and statistical language | Adobe and Google Analytics | Reporting – skilled in reporting and data visualisation software with strong presentation skills | Analytical and Creative Mind | Advanced Microsoft Excel | Experience with SQL (Structured Query Language) programming.
What qualifications does it take?
A Bachelors or Undergraduate degree in a subject that develops analytical skills like Math, Statistics, and Computer Science.
We connect ambitious organisations with their greatest assets, equally ambitious talent.
“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 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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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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