Data Visualization Resume OR

Data Visualization Resume OR

Data Visualization Resume


Jobs in data visualization incorporate the analysis and visual representation of data. Professionals in the field take datasets and use graphs, charts, pictures or maps to display them in an accessible and readable way. Data visualization is useful in several industries since it helps people notice important business trends and patterns. Industries that may benefit from data visualization professionals include:


Analyzing and interpreting data typically includes a variety of technical skills that contribute to a professional's success. It's important to list your technical, data-based skills. This helps show potential employers your experience and expertise in the field. It also helps the hiring manager determine whether you have experience using the software or programs necessary for data visualization.

There are two goals you need to accomplish with the skills section of your data analyst resume. First, you have to be able to get past the automatic keyword filters that companies use to weed out resumes in their applicant tracking system (ATS). Next, you want to demonstrate your technical proficiency to the HR person or hiring manager reviewing your resume. (Source: www.beamjobs.com)


The federal hiring process can be complicated to navigate. We don’t want that to be the reason you don’t apply. We are committed to inclusive hiring practices that build a healthy workplace where diversity is our strength, and everyone has the support they need to succeed. That starts right now, with us lifting the veil on the process of applying for federal jobs. We especially encourage you to apply if you are BIPOC, LGBTQIA+, have a disability, or are of any marginalized identity. Please read below for details on how the application process works.

Required specialized experience for GS-12 Data Visualization Specialist: Experience will include intermediate-to-advanced skills with one or more data science programming languages (e.g., python and R) or experience building interactive visualizations (e.g., javascript libraries such as D3, Vue, etc). In addition to programming skills, experience should include strong communication skills and project/task management skills. Communication skills should demonstrate experience in communicating complex scientific concepts to non-technical audiences. Project management skills should include developing data visualization concepts from raw data and moving them to final products. (Source: waterdata.usgs.gov)


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