Juliet Craig

Juliet began her career at The Information Lab in October 2022, where she developed skills in consulting in Tableau and Alteryx. Juliet specializes in designing engaging dashboards and guiding organizations in transforming their data into actionable insights. With expertise in both long-term engagements and shorter proof of concept work, Juliet specializes in dashboard visual best practices, automating reporting processes, and migrations from legacy platforms to Tableau.

Juliet is skilled in dashboard redesign, focusing on improving the user experience and interactivity of visualizations. This ensures dashboards are not only visually engaging but intuitive for all levels of users, helping clients increase dashboard adoption. Juliet has also led several report automation projects, leveraging tools like Alteryx and Tableau Prep to ensure timely, accurate data delivery. She also leads one-on-one and group workshops to help enable teams to maximize their Tableau environment. This helps organizations enhance overall performance and empower teams to maintain the work she creates for them.

During her contract work with Vanguard, she helped prepare the team to migrate from Tableau Server to Tableau Cloud. One of her standout projects there is the Cloud Engagement dashboard, a tool she developed to monitor site activity. This project leverages Admin Insights to track site usage and quantify the value of dashboards based on user interaction. Juliet integrated Workday data to govern site users, ensuring each user had the appropriate access based on their business role. This project was so well received that she presented it on stage with her client at Tableau Conference 2024, showcasing her success to an audience of data professionals.

Outside of client work, Juliet is a co-leader for the Data+Women NYC user group. Before joining The Information Lab, Juliet studied to get her Master’s in Data Visualization as well as a Bachelor’s in Computer Science, where she combines her passion for art and technical skills.

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