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Dashboard Developer

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April 2, 2024 Updated April 16, 2025 15 minute read

A Comprehensive Guide to Becoming a Dashboard Developer

A Dashboard Developer specializes in creating visual interfaces, known as dashboards, that display key data points and performance indicators for businesses. Their primary goal is to transform raw data into understandable, actionable insights through charts, graphs, and summaries. These professionals bridge the gap between complex datasets and the decision-makers who need clear, concise information to guide strategy.

Working as a Dashboard Developer can be highly engaging. You'll often find yourself solving intricate puzzles, figuring out the best way to represent complex information visually. It involves both technical skill in handling data and tools, and creativity in designing interfaces that are not only informative but also intuitive and aesthetically pleasing. Seeing your dashboards directly influence business decisions provides a strong sense of impact and accomplishment.

What Does a Dashboard Developer Do?

Definition and Core Objectives

At its core, dashboard development is about communication through data visualization. A Dashboard Developer designs, builds, and maintains dashboards that provide stakeholders with a clear view of performance, trends, and potential issues. They work closely with business users, data analysts, and data engineers to understand requirements, identify relevant data sources, and choose the most effective ways to visualize information.

The main objective is to empower users to monitor key metrics and make informed decisions quickly. This involves selecting appropriate chart types, arranging elements logically, ensuring data accuracy, and optimizing dashboards for performance and usability. They strive to create tools that tell a compelling story with data, highlighting critical insights that might otherwise be lost in spreadsheets or reports.

Effective dashboards are tailored to their audience and purpose. A developer must consider who will be using the dashboard and what questions they need answered. This user-centric approach ensures the final product is not just visually appealing but truly functional and valuable to the organization.

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Salaries for Dashboard Developer

City
Median
New York
$154,000
San Francisco
$118,000
Seattle
$139,000
See all salaries
City
Median
New York
$154,000
San Francisco
$118,000
Seattle
$139,000
Austin
$114,000
Toronto
$88,000
London
£100,000
Paris
€50,000
Berlin
€70,000
Tel Aviv
₪442,000
Singapore
S$131,000
Beijing
¥262,000
Shanghai
¥512,000
Shenzhen
¥594,000
Bengalaru
₹1,422,000
Delhi
₹700,000
Bars indicate relevance. All salaries presented are estimates. Completion of this course does not guarantee or imply job placement or career outcomes.

Path to Dashboard Developer

Take the first step.
We've curated ten courses to help you on your path to Dashboard Developer. Use these to develop your skills, build background knowledge, and put what you learn to practice.
Sorted from most relevant to least relevant:

Reading list

We haven't picked any books for this reading list yet.
Foundational text for anyone serious about designing effective dashboards. It focuses on the principles of visual perception and clear communication to ensure dashboards are easily understood and acted upon. It is particularly useful for providing background knowledge on common design pitfalls and best practices. This book is widely regarded as a must-read for both students and professionals in the field.
By Stephen Few focuses specifically on the effective design of tables and graphs, which are the building blocks of most dashboards. It provides clear, practical guidance on how to present quantitative information accurately and effectively. This fundamental resource for mastering the visual components of dashboards.
Focuses specifically on the strategic use of dashboards for business performance management. It covers the process of designing and implementing dashboards to measure, monitor, and manage business performance effectively. This highly relevant book for those interested in the business intelligence applications of dashboards.
Provides a wealth of practical examples of dashboards across various industries and business functions. It's an excellent resource for seeing how dashboard design principles are applied in real-world scenarios. It serves as a great reference tool for inspiration and understanding the diverse applications of dashboards. This book is highly relevant for those looking to see the practical side of dashboard creation after grasping the foundational concepts.
A follow-up to The Functional Art, this book delves deeper into the process of working with data and creating visualizations that are accurate and effective for communication. It addresses common challenges in data analysis and visualization, making it a valuable resource for those building data-driven dashboards. It is particularly useful for understanding how to avoid misleading representations of data.
While not exclusively about dashboards, this book is crucial for understanding how to communicate effectively with data, a core component of a successful dashboard. It emphasizes creating clear, compelling visuals that tell a story and drive action. is valuable for anyone who needs to present data insights, making it highly relevant for the business intelligence aspect of dashboards.
Is essential for developing a critical eye towards data visualizations, including those found in dashboards. It teaches how to identify misleading charts and understand the potential for misinterpreting visual information. This is crucial for both creating trustworthy dashboards and for critically evaluating those created by others.
Alberto Cairo's book bridges the gap between design and journalism, emphasizing the importance of functionality and accuracy in information graphics and visualization. It provides a strong understanding of the principles behind creating visuals that are not only aesthetically pleasing but also truthful and informative. is great for understanding the ethical considerations and practical workflows in creating visualizations for dashboards.
This handbook offers a comprehensive guide to the process of creating data visualizations, from understanding the data to designing and refining the final output. It covers a wide range of chart types and design considerations relevant to building effective dashboards. It practical resource for students and practitioners alike.
Considered a classic in the field of information design, Tufte's work lays down fundamental principles for the clear and precise display of quantitative information. While published some time ago, its principles are timeless and directly applicable to dashboard design. is more valuable for its foundational theory and historical context than as a guide to modern tools.
Delves into the cognitive psychology behind visual perception and how it applies to design. Understanding how people perceive and process visual information is fundamental to creating effective dashboards. This book provides a scientific basis for many data visualization and dashboard design principles, making it valuable for a deeper understanding.
Explores the principles of information design with a focus on human factors and common sense. It provides practical guidance on organizing and presenting information effectively, which is directly applicable to creating user-friendly and intuitive dashboards. It emphasizes the importance of understanding the audience.
In Data Points, Nathan Yau explores the process of turning data into meaningful and insightful visualizations. The book focuses on understanding the data and the message before choosing the right visualization technique. This approach is highly relevant to dashboard design, where the goal is to provide clear and actionable insights from data.
Provides hands-on guidance on how to use Power BI to create dashboards, connect to various data sources, transform and visualize data, and share insights with others. It covers both basic and advanced techniques.
This guide offers clear and concise advice on creating effective information graphics, drawing on the standards of The Wall Street Journal. It provides practical dos and don'ts for designing charts and graphs, which are essential elements of dashboards. It's a useful quick reference for best practices in visual communication of data.
A more in-depth exploration of the principles of information visualization based on human perception. comprehensive reference for understanding the research and theory behind effective visual communication of data. It is suitable for those with a strong interest in the scientific underpinnings of data visualization and dashboard design.
The fourth book in Tufte's series, Beautiful Evidence continues to explore the principles of analytical design and the presentation of evidence. It offers further insights into how to integrate images, words, and numbers to communicate complex information effectively, which is highly applicable to dashboard design. It valuable addition for those seeking a deeper understanding of information display.
This comprehensive guide covers the entire spectrum of business intelligence, from data integration to analytics. Understanding the broader BI landscape is beneficial for designing effective dashboards that fit within a larger data strategy. While not solely focused on dashboards, it provides essential context for their role in BI.
Nathan Yau's book provides a practical, hands-on approach to creating data visualizations using various tools and programming languages. While some technical examples might require basic coding knowledge, the principles of design and storytelling with data are universally applicable to dashboard creation. It's a good resource for those who want to get their hands dirty with data and visualization techniques.
Provides a comprehensive overview of Google Data Studio and how to use it to create dashboards that are both visually appealing and informative. It covers topics such as data blending, visualization techniques, and dashboard design.
Provides a practical introduction to creating informative and compelling data visualizations using the ggplot2 package in R. While it has a technical component, the principles of effective visualization discussed are broadly applicable to dashboard design regardless of the tool used. It's a good resource for those who want to understand the code behind creating visualizations.
Aimed at those who find themselves working with data without a formal analytics background, this book provides practical guidance on how to approach data analysis and visualization. It's a helpful resource for understanding how to make sense of data before attempting to visualize it in a dashboard.
Provides a solid foundation in data science and data-analytic thinking, which is crucial for understanding the data that populates dashboards. It helps in understanding how to extract valuable insights from data, making the dashboards more meaningful. It good prerequisite or supplementary read for those building data-driven dashboards.
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