Title: Data Visualization InternLocation: McLean, VATerms: Temporary/InternshipClearance: None RequiredPosition Overview:Are you interested in learning about federal contracting? Do you enjoy helping solve complex problems that deal with large complex data sets? An ideal candidate will have experience with Tableau and data visualization and interpretation techniques and can build high-quality dashboards that will help inform executive-level decision making.If you’ve answered YES to any of those, then we encourage you to apply to this Data Visualization Intern position on our corporate team!RequirementsBasic Qualifications:Pursuing a bachelor’s or master’s degree in Computer Science, Math, or a related field Be proficient in TableauHave great knowledge of Microsoft Office skills, specifically in Excel and PowerPointBe extremely detail-orientedHave a strong work ethic and a great attitudeMust be able to express professional discipline and be a self-starterHave proven experience of being proactive and willing to take action in the absence of directionPreferred Qualifications:Tableau CertificationExperience communicating data insights and presenting concepts to technical and non-technical audiencesStrong communication skills to include presenting quantitative concepts in easy to understand formatsExperience working with large and complex data setsAbout RIVA:RIVA Solutions, Inc. is a rapidly growing provider of information Technology and Program Support Services to the United States Federal Government. Headquartered in McLean VA, RIVA has over 400 employees in 20+ states across the US. As we continue to expand our services within Management Consulting, STEM, Cyber AI and Robotic Process Automation, we are looking for highly qualified people to join and thrive with us. VivaLaRIVA!RIVA is an Equal Opportunity Employer.All qualified applicants will receive consideration for employment without regard to race, religion, color, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, family medical history or genetic information, political affiliation, military service, or other non-merit based factors.