Data Visualisation jobs and careers

Data 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

At an entry level, junior / graduate Data Visualisation professionals on average will be earning between £25k-£30k. At the mid-level you’d be looking to earn £40k-£50k and seniors would be looking to earn £60k+.

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.

Our Data, Insight & Analytics recruitment team

  • Principal Recruiter

    Data Platform & Architecture

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    Scott Rogers

  • Senior Recruiter

    Data, Insight & Analytics

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    Tegan Fenn

  • Recruiter

    Data Engineering, BI & MLOps

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    Izzy Martin

  • Head of Data

    Insight & Analytics

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    Alex Cosgrove

JOB
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Our latest Data, Insight & Analytics jobs

We connect ambitious organisations with their greatest assets, equally ambitious talent.

Senior Data Analyst

  • London
  • Contract
  • 550-650 Per Day

Full details

6 Month Contract, Inside IR35

Join an insurtech, scale-up company with a fantastic culture and great branding.

Sit under the Head of Analytics.

Full details

11th Apr

Senior Reporting Analyst

  • London
  • Contract
  • 350 - 450 per day

Full details

2 Months Initial

Potential to extend.

Hybrid work (Bristol or London, one day a week).

Full details

11th Apr

Senior Reporting Analyst

  • Bristol
  • Contract
  • 350 - 450 per day

Full details

2 Months Initial

Potential to extend.

Hybrid work (Bristol or London, one day a week).

Full details

11th Apr

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Salary guides:

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    Data, Insight and Analytics Day Rate Guide

    Average salaries and day rates typically received for Data, Insight and Analytics roles.

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    Data, Insight and Analytics Within Data Engineering & Development

    Average salaries and day rates for roles within data engineering & development.

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    Data, Insight and Analytics within Data Science

    Average salaries and day rates typically received for Data, Insight and Analytics roles within Data Science.

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PURPOSE