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Only 3 Steps to Hire Data visualization Developer

1
Talk to Our Data visualization Talent Expert
Our journey starts with a 30-min discovery call to explore your project challenges, technical needs and team diversity.
2
Meet Carefully Matched Data visualization Talents
Within 1-3 days, we’ll share profiles and connect you with the right Data visualization talents for your project. Schedule a call to meet engineers in person.
3
Validate Your Choice
Bring new Data visualization expert on board with a trial period to confirm you hire the right one. There are no termination fees or hidden costs.

Welcome on Upstaff: The best site to hire Data visualization Developer

Yaroslav Kuntsevych
Upstaff.com was launched in 2019, addressing software service companies, startups and ISVs, increasingly varying and evolving needs for qualified software engineers

Yaroslav Kuntsevych

CEO
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FAQs on Data visualization Development

What is a Data visualization Developer? Arrow

A Data visualization Developer is a specialist in the Data visualization framework/language, focusing on developing applications or systems that require expertise in this particular technology.

Why should I hire a Data visualization Developer through Upstaff.com? Arrow

Hiring through Upstaff.com gives you access to a curated pool of pre-screened Data visualization Developers, ensuring you find the right talent quickly and efficiently.

How do I know if a Data visualization Developer is right for my project? Arrow

If your project involves developing applications or systems that rely heavily on Data visualization, then hiring a Data visualization Developer would be essential.

How does the hiring process work on Upstaff.com? Arrow

Post Your Job: Provide details about your project.
Review Candidates: Access profiles of qualified Data visualization Developers.
Interview: Evaluate candidates through interviews.
Hire: Choose the best fit for your project.

What is the cost of hiring a Data visualization Developer? Arrow

The cost depends on factors like experience and project scope, but Upstaff.com offers competitive rates and flexible pricing options.

Can I hire Data visualization Developers on a part-time or project-based basis? Arrow

Yes, Upstaff.com allows you to hire Data visualization Developers on both a part-time and project-based basis, depending on your needs.

What are the qualifications of Data visualization Developers on Upstaff.com? Arrow

All developers undergo a strict vetting process to ensure they meet our high standards of expertise and professionalism.

How do I manage a Data visualization Developer once hired? Arrow

Upstaff.com offers tools and resources to help you manage your developer effectively, including communication platforms and project tracking tools.

What support does Upstaff.com offer during the hiring process? Arrow

Upstaff.com provides ongoing support, including help with onboarding, and expert advice to ensure you make the right hire.

Can I replace a Data visualization Developer if they are not meeting expectations? Arrow

Yes, Upstaff.com allows you to replace a developer if they are not meeting your expectations, ensuring you get the right fit for your project.

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Table of Contents

How and where is Data visualization used?

How and where
  • Data Analytics: Analyzing sales data
  • Financial Reporting: Monitoring expenses
  • Business Intelligence: Tracking key performance indicators
  • Healthcare: Visualizing patient data
  • Marketing: Analyzing campaign performance
  • Education: Presenting student performance data
  • Supply Chain Management: Monitoring inventory levels
  • Social Media: Visualizing engagement metrics
  • Sports Analytics: Analyzing player performance
  • Research: Presenting survey data

Compare Junior, Middle, Senior, and Expert/Team Lead Data visualization Developer roles

Seniority NameYears of experienceResponsibilities and activitiesAverage salary (USD/year)
Junior0-2 years
  • Assist in data visualization projects
  • Create basic charts and graphs
  • Support senior developers
50,000
Middle3-5 years
  • Design complex data visualizations
  • Coordinate project timelines
  • Train junior developers
70,000
Senior6-8 years
  • Lead data visualization initiatives
  • Develop innovative solutions
  • Mentor team members
90,000
Expert/Team Lead9+ years
  • Set data visualization strategy
  • Guide team in complex projects
  • Ensure high-quality deliverables
120,000

Quick Facts about Data visualization.

Facts about
  • Back in the ancient year of 1987, data visualization software was born!
  • Projects in finance, marketing, and healthcare love using this tech!
  • Entry threshold to be a data viz guru? Just some basic coding skills!
  • When it comes to related tech, can’t go wrong with machine learning!
  • Did you know the first data viz tool was called “The Graphical Interface”?

TOP Data visualization Related Technologies

Related Technologies
  1. Tableau (Ex: Christian, 2003)
  2. Power BI (Ex: Microsoft, 2015)
  3. D3.js (Ex: Bostock, 2010)
  4. Plotly (Ex: Plotly, 2015)
  5. QlikView (Ex: Qlik, 1993)

What are top Data visualization instruments and tools?

Instruments and tools
  • Tableau: A tool by Tableau Software, released in 2003.
  • Power BI: Microsoft’s creation from 2013.
  • Google Data Studio: Released by Google in 2016.
  • QlikView: From Qlik, released in 1993.
  • D3.js: A JavaScript library, first appeared in 2011.

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