Data Visualization Job Market Trends

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Grafana

5K-10K
Employers
+98%
Growth

An open-source platform for monitoring and observability, providing tools for visualizing and analyzing data from various sources.

Plotly

500-1K
Employers
+66%
Growth

A powerful interactive graphing library for Python, R, and JavaScript that enables the creation of publication-quality visualizations. Widely used in data science for its capability to produce complex graphs with simple code.

LucidChart

600-1.2K
Employers
+66%
Growth

Lucidchart is a cloud-based diagramming application that enables users to create a wide variety of interactive diagrams, such as flowcharts, organizational charts, mind maps, and network diagrams. It features real-time collaboration, data linking, customizable templates, and automation tools

Seaborn

600-1.2K
Employers
+62%
Growth

A Python library used for data visualization, built on top of Matplotlib enhancing its capabilities with streamlined API and improved graphics. Popular in data analysis for creating informative and attractive statistical graphics.

Matplotlib

1.25K-2.5K
Employers
+54%
Growth

A vector database that enables the storage, indexing, and querying of high-dimensional vector data, often used in machine learning applications.

Microsoft Power Platform

3K-6K
Employers
+48%
Growth

A suite of applications, connectors, and a data platform that provides a rapid application development environment to build custom apps.

QuickSight

700-1.4K
Employers
+44%
Growth

A business intelligence service by Amazon Web Services for creating data-driven dashboards and visualizations. It allows for real-time analytics and insights from various data sources.

Power BI Developer

500-1K
Employers
+43%
Growth

Specializes in creating business intelligence solutions using Microsoft Power BI. Converts raw data into meaningful insights through interactive dashboards and reports.

Data Storytelling

900-1.8K
Employers
+43%
Growth

The practice of using data visualization and narrative techniques to effectively communicate insights from data analysis. Aimed at making complex data more accessible and understandable to a wider audience.