Open Lance

Data & Analytics

Hire Data Visualization Experts

Data visualization experts turn numbers into charts and graphics people can understand quickly, for reports, dashboards, presentations and the web.

Post a job How hiring works

The role

What data visualization experts do

A visualization specialist picks the right chart for the message, removes clutter, labels clearly, uses colour with purpose, and builds static or interactive graphics. Some work in BI tools; others code custom visuals with D3 or similar libraries.

Typical deliverables

  • Charts for reports and presentations
  • Interactive web visualisations
  • Dashboard designs
  • Infographic-style data stories
  • Chart style guides

Tools you will see

  • Tableau
  • Power BI
  • D3.js
  • Flourish
  • Datawrapper
  • Figma

Choosing

How to choose data visualization experts

What to look for

  • Charts that make one point clearly.
  • Accurate scales and honest representation.
  • Accessible colour choices.
  • Experience in the format you need: print, web or BI.

Questions to ask

  1. 1What is the main message this chart should show?
  2. 2Which chart type would you use, and why?
  3. 3How do you make charts accessible?
  4. 4Static, interactive or dashboard?

Planning

Before you post the job

Audience

Executives, analysts and the public need different levels of detail. Say who will read it.

What drives cost

Number of visuals, interactivity, data preparation and custom coding.

Hiring on Open Lance

  • Posting a job and reviewing proposals are free.
  • Each milestone is funded into escrow before work starts and paid when you approve it.
  • Hire fixed-price, hourly, as a monthly Dedicated Hire, or buy a packaged Drop-In.
  • Client fees are shown before you pay and added on top of the work.

How escrow and approval work · Pricing

FAQ

Questions about hiring data visualization experts

Tableau or custom D3?

BI tools suit internal dashboards. Custom D3 suits unique public-facing graphics.

Can visuals update automatically?

Yes, when connected to a live data source or rebuilt from data files.

What makes a chart misleading?

Truncated axes, inconsistent scales and decoration that distorts values are common causes.

Related

Related skills

Before you hireWriting the job postReading the proposalsSetting milestones

Post a job for data visualization experts

Describe the work and compare proposals. You only fund the first milestone once you have chosen someone.

Post a job