Data Visualization Specialist

JMark Services
Suffolk
9 months ago
Applications closed

Related Jobs

View all jobs

Machine Learning Specialist

Data Scientist

Data Scientist, Machine Learning Engineer, Data Analyst, Data Engineer, AI Engineer, Business Intelligence Analyst, Data Architect, Analytics Engineer, Research Data Scientist, Statistician, Quantitative Analyst, ML Ops Engineer, Applied Scientist, Insigh

Data Science and Innovation Manager

Data Scientist-Senior Manager

Data Scientist-Manager

Job Title: Data Visualization Specialist (Secret Clearance Required)
Clearance Required:Secret
Education:Associate or Bachelor of Science in Analytics Statistics Computer Science Information Systems Engineering Mathematics or related disciplines
Job Description:
We are seeking a skilledData Visualization Specialistto join our team and play a pivotal role in delivering insightful and visually compelling data presentations. The ideal candidate will have handson experience using a variety of data visualization tools and techniques as well as familiarity with thirdparty component libraries to enhance data presentation. This role offers an opportunity to work in an Agile or Scrum development environment collaborating with crossfunctional teams to create highquality userfriendly visualizations that help stakeholders make datadriven decisions.
As a Data Visualization Specialist you will be responsible for designing and developing interactive and static visualizations that convey complex data in a clear and actionable manner. You will leverage industrystandard visualization tools to present data insights to both technical and nontechnical audiences.
Key Responsibilities:
  • Design develop and implement data visualizations to transform complex data into clear intuitive and actionable insights.
  • Use industrystandard visualization tools (e.g. Tableau Power BI D3.js etc. to create interactive dashboards and reports.
  • Leverage thirdparty component libraries to enhance the functionality and visual appeal of data visualizations.
  • Work closely with stakeholders to understand their data needs and tailor visualizations to meet those needs.
  • Collaborate with data scientists analysts and other team members to ensure data accuracy and relevance in visualizations.
  • Participate in Agile or Scrum development processes contributing to sprint planning retrospectives and reviews.
  • Ensure that visualizations are userfriendly accessible and meet design and usability standards.
  • Optimize and streamline visualizations for performance scalability and ease of use.
  • Provide training and support to stakeholders in the use of data visualizations and dashboards.
  • Stay uptodate with the latest trends best practices and tools in data visualization and user experience design.
Required Qualifications:
  • Education:Associate or Bachelor of Science in Analytics Statistics Computer Science Information Systems Engineering Mathematics or related disciplines.
  • Experience:
    • At least 3 years of experience using multiple data visualization applications and leveraging common industry visualization tools.
    • At least 2 years of experience working in an Agile or Scrum development environment.
  • Clearance:Active Secret clearance required.
Preferred Qualifications:
  • Proficiency in data visualization tools such as Tableau Power BI D3.js or similar.
  • Experience with thirdparty component libraries and customization for advanced visualizations.
  • Knowledge of data modeling and database management techniques.
  • Strong understanding of usercentered design principles and best practices for creating intuitive and engaging visualizations.
  • Experience with JavaScript HTML or CSS for custom visualizations and enhancements.
  • Ability to work in a fastpaced environment managing multiple priorities and deadlines.
  • Strong communication and collaboration skills with the ability to explain complex data concepts to diverse audiences.
JMarkis an Equal Opportunity Employer. We are committed to creating an inclusive environment for all employees and applicants. We do not discriminate on the basis of race color religion sex sexual orientation gender identity national origin age disability veteran status or any other characteristic protected by applicable federal state or local laws. All qualified applicants will receive consideration for employment without regard to these factors.



Required Experience:

Unclear Seniority


Key Skills
GIS,Computer Data Entry,Facilities Management,ADMA,Fleet,Key Account
Employment Type :Full Time
Experience:years
Vacancy:1

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.