Location: Durham,NC, USA
The Data Visualization Analyst is responsible for providing consultation, instruction, and project support to faculty, students, and campus groups across Duke University supporting individual, class, and team visualization projects. The Data Visualization Analyst participates in the data science community at Duke and assists in developing and refining visualization services in concert with researcher needs.ResponsibilitiesConsults and provides training to students and faculty from all academic disciplines in the visualization of data and the effective presentation of research results.Leads workshops and training sessions on data visualization tools and strategies that meet the needs of the Duke community.Engages in ongoing outreach activities to inform and cultivate a visualization community at Duke.Creates guides, software, and tutorials to improve data visualization literacy at Duke University.Participates in relevant conferences and meetings on data visualization and related areas with the goal of developing visualization services and the analyst's role in furthering these services.Seeks opportunities to maintain and develop new expertise in relevant tools and techniques, including attending training sessions and engaging in project work.Other duties as assigned.Supervisory ResponsibilitiesEducationRequired: Master's degree or equivalent educational/professional experience.Preferred: Higher education degree that demonstrates facility with data visualization concepts.ExperienceRequired:Demonstrated ability to generate narratives from data and communicate them to a diverse set of stakeholders.A portfolio of previous data visualization work.Demonstrated experience using data visualization tools, specifically Excel, Tableau, and/or Microsoft Power BI, and other similar tools such as ggplot, python-based tools (such as Altair, Seaborn, or matplotlib), Gephi, etc.An understanding of current best practices in designing visualizations based on research in the field, as demonstrated through sample visualization projects, publications, or training.Able to work independently and as a member of a team.Demonstrated ability to explain visualization methods and concepts through consulting, teaching, and/or mentorship.Preferred:One to three years' experience working in information visualization or comparable education and experience.Demonstrated ability to provide consultations and instruction to researchers on data visualization.Demonstrated teaching experience either as an instructor, graduate student, or faculty member.Demonstrated experience with workflows for managing, cleaning, and analyzing large collections of data.Excellent interpersonal, oral, and written communication skills.Experience implementing and communicating best practices in graphic design.Able to construct and automatically extract information from databases.Extensive experience in one or more of the following subfields of data visualization: information visualization, scientific visualization, geospatial visualization, visualization for humanities projects.Experience with web-based data visualization tools.Experience with tools that allow visualization of machine learning models.Working ConditionsNormal office environment.These statements are intended to describe the general nature and level of work being performed by the employee in this position. They are not intended to be construed as an exhaustive list of all responsibilities, duties, and skills required of a person in this position. This description is subject to change at any time.Salary and BenefitsSalary and rank dependent on qualifications and experience; the anticipated range is $75,000-$95,000. Comprehensive benefits package includes 20 days vacation, 14 holidays, 12 days sick leave; health, dental, disability, and life insurance and support for professional development and training.#J-18808-Ljbffr