Data Visualization Analyst

A Data Visualization Analyst transforms complex data into visually compelling and easily understandable charts, graphs, and dashboards to facilitate data-driven decision-making.
Salary Insights
High-ROI Certifications
Potential Lateral Jobs
Publications/ Groups

Data Visualization Analyst

Glassdoor
Market
National (USA)
Base Salary
$77,746 / year
Satisfaction
Additional Benefits
Yes
Industry
All
Education
Bachelor's Degree

The average salary for Data Visualization Analyst is $77,746 / year according to Glassdoor.com

There are no updated reports for Data Visualization Analyst salaries. You can check potential lateral job opportunities in this information stack to find related salary information.

Data Visualization Analyst role may have an alternate title depending on the company. To find more information, you can check Glassdoor.com.

Career Information

As a Data Visualization Analyst, you will be responsible for creating visual representations of data to help organizations understand and interpret complex information. You will need strong knowledge of data visualization principles and tools such as Tableau or Power BI. Strong creativity and attention to detail are also important, as you will be responsible for designing visually appealing and informative data visualizations.

The average salary for Data Visualization Analyst is $77,746 / year according to Glassdoor.com
AI Disclaimer
The following text about the Job role of Data Visualization Analyst has been generated by an AI model developed by Cohere. While efforts have been made to ensure the accuracy and coherence of the content, there is a possibility that the model may produce hallucinated or incorrect information. Therefore, we strongly recommend independently verifying any information provided in this text before making any decisions or taking any actions based on it.

The Data Visualization Analyst is a crucial role in any organization. They are responsible for designing and creating visual representations of data to help stakeholders understand and interpret the information. This can include creating charts, graphs, and other visual elements to help communicate complex data sets.

The most important skills for a Data Visualization Analyst include:

  • Strong understanding of data and how to visualize it effectively
  • Proficiency in design software such as Adobe Illustrator, Photoshop, or other design tools
  • Ability to create clear and concise visual representations of data
  • Knowledge of data visualization best practices
  • Strong communication and collaboration skills

Some of the tasks that a Data Visualization Analyst may be responsible for include:

  • Working with stakeholders to understand the data and the desired outcome
  • Designing and creating visual representations of the data
  • Reviewing and editing the visual representations to ensure accuracy and clarity
  • Providing recommendations for improvement
  • Collaborating with other team members to ensure the visual representations are aligned with the overall design and branding of the organization

Overall, the Data Visualization Analyst is a critical role in any organization. They are responsible for creating visual representations of data that are clear, concise, and effective in communicating the information to stakeholders.

Potential Lateral Jobs
Explore the wide range of potential lateral job opportunities and career paths that are available in this role.

High-ROI Programs

Most roles require at least a bachelor's degree. To remain competitive, job seekers should consider specialization or skill-specific programs such as specialization, bootcamps or certifications.
Certification Programs
Consider pursuing specialized certifications or vendor-specific programs to enhance your qualifications and stand out in the job market.

Microsoft Certified: Azure Data Scientist Associate

DP-100

The Microsoft Certified: Azure Data Scientist Associate is a high-ROI program designed for professionals who have expertise in applying data science and machine learning techniques to implement and manage machine learning workloads on Azure.

Intermediate
View More

Databricks Certified Data Engineer Associate

The Databricks Data Engineer Certification program is highly sought after, designed to evaluate an individual's proficiency in utilizing the Databricks Lakehouse Platform for performing fundamental data engineering tasks.

Intermediate
View More

Microsoft Certified: Azure Data Engineer Associate

DP-203

The Microsoft Certified: Azure Data Engineer Associate program is designed for professionals who have expertise in integrating, transforming, and consolidating data from various structured, unstructured, and streaming data systems.

Intermediate
View More

Google Certified Professional Data Engineer

The Google Certified Professional Data Engineer is a high-ROI program designed for experienced professionals to become highly equipped with specialty skills and functional knowledge in cloud data engineering.

Advanced
View More

AWS Certified Data Analytics — Specialty

DAS-C01

The AWS Data Analytics Certification program validates a deep understanding of AWS data analytics services and their integration with each other to derive insights from data, making it suitable for individuals pursuing a role focused on data analytics.

Advanced
View More

Microsoft Certified: Azure Enterprise Data Analyst Associate

DP-500

The Azure Data Analyst Certification is a high-ROI program designed for professionals who have expertise in designing, creating, and deploying enterprise-scale data analytics solutions.

Intermediate
View More

AWS Certified Machine Learning — Specialty Certification

MLS-C01

The AWS Certified Machine Learning - Specialty certification covers a wide range of topics, including data engineering, exploratory data analysis, modeling, and machine learning implementation and operations on the AWS Cloud. 

Advanced
View More

Google Certified Professional Machine Learning Engineer

The Google Machine Learning Certification is a high-ROI program designed for ML engineers who want to gain specialized machine learning skills using Google Cloud technologies.

Advanced
View More
Specialization Programs improving
If you want to improve your skills and knowledge in a particular field, you should think about enrolling in a Nanodegree or specialization program. This can greatly improve your chances of finding a job and make you more competitive in the job market.

SAS Visual Business Analytics Professional Certificate

Professional

Data Storytelling and Visualisation

Executive Program

Data Visualization

Data Analysis and Visualization with Microsoft Power BI

Statistics and Data Science – MicroMasters

Instructor-led

The highly recommended program, ideal for Big Data enthusiasts, covers data science foundations, statistics, and machine learning through guided lectures, exercises, and projects.

Intermediate
View More
View More

Data Scientist with Python

Career Track

This program is exhaustive, allowing you to gain scientific skills in Excel, SQL, and SAS for data analysis, as well as creating data visualization to communicate results using statistical calculations.

Statistics Fundamentals with Python (Skill-Track)

Skill Track

This skill track offers a comprehensive path to mastering data analysis, statistical modeling, interpretation, and communication, enabling you to apply these techniques in business contexts and complex data science projects.

Power BI

Course

Introduction to Tableau

Course

Data Analyst in Tableau

Career Track

Data Analysis with Excel Pivot Tables

Course

Data Analyst in Power BI

Career Track

Data Analyst in SQL

Career Track

Resource Stacks

We are soon crowdsourcing these resource stacks to collate the best resources, such as publications, community groups, job boards, etc., that are practically suitable for every contextual stack.
Publications
Discover the wide array of publications that professionals in this role actively engage with, expanding their knowledge and staying informed about the latest industry trends and developments.
Communities updating
Discover the thriving communities where professionals in this role come together to exchange knowledge, foster collaboration, and stay at the forefront of industry trends.
Research updating
We are currently in the process of updating contextual resources and we will be adding the new ones to the list shortly.
AI Disclosure: We are testing AI technologies to ensure the accuracy and coherence of recommendations. However, it is important to note that there is a possibility that the model may create hallucinated or incorrect inferences. Therefore, we highly recommend independently verifying any information provided in these stacks before making any decisions or taking any actions based on it.
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