Imagine what you could accomplish in Vint Hill’s Data Innovation and Insights Group. At Vint Hill, thinking outside the box and presenting new ideas have a way of influencing how our clients do business better. Bring passion and dedication to your job, always challenge the status quo, and there’s no telling what you can accomplish here.
The Data Innovation and Insights Group is seeking a Data Analytics and Visualization Analyst to help design and build innovative and scalable reporting and rapid business intelligence solutions; applications; and analytical tools and UI that support our clients’ internal Data Analytics processes and support executive teams through the delivery of data-driven insights that inform strategic decision making and policy decisions.
Key Qualifications & Experience
- 2+ years of relevant experience implementing large projects using any Data Analysis tools, specifically SQL, Python, and SAS
- Experience in building visualizations and dashboards in Tableau or related Business Intelligence tools
- Experience in maintaining reporting, reviewing the analytics, and dashboard functionality
- Experience with Amazon Web Services (AWS), web, and iOS technologies is a plus
- Experience working with big data technologies is a plus
- Experience with data science and machine learning analyses is a plus
- Outstanding written, verbal, and presentation skills with the ability to develop and present conclusions and recommendations to senior executives
- Able to work effectively on sometimes ambiguous data and constructs within a fast-changing environment, tight deadlines, and priority changes
- Proven ability to manage multiple projects at a time
- Highly motivated and responsible for self-learning
- US Citizenship is required
What to Expect Day-to-Day
The Data Analytics and Visualization Analyst will be focused on translating statistical data in ways that are optimized for our client’s senior executive teams, spanning multiple organizations.
This role will be responsible for turning complex, disparate data and data sets into clear, insightful information through visual displays, leveraging a deep understanding of the fundamental principles of information design, user interaction, and visual best practices that resonate with executive leaders. This role will also understand the underlying data structures and data processes; and have a drive for delivering high-performance, high-quality solutions on big data.
We are looking for someone who can interpret requirements, make informed decisions, and collaborate to deliver high-quality finished products and knows when and how to leverage proven design patterns, standards, and guidelines.
Additionally, this role will work within the Data Innovation and Insights Group across data engineering, applied analytics, and data scientists to design and implement new, innovative data and business processes to facilitate more efficient data collection, analysis, reporting, and Visualization solutions for clients.
Education
Undergraduate or Master’s degree in one of the following majors with relevant analytics or data management focused coursework desired:
- Technology: Data Analytics, Computer Science, Management Information Systems
- Business: Economics, Econometrics, Quantitative Finance, Finance, Accounting, Business Analytics
- Math/Engineering: Industrial Engineering, Computer Engineering, Financial Engineering, Math, Statistics
Job Type: Full-time
Pay: From $72,000.00 per year
Benefits:
- 401(k)
- 401(k) matching
- Dental insurance
- Flexible schedule
- Health insurance
- Life insurance
- Paid time off
- Professional development assistance
- Vision insurance
Compensation package:
- Bonus opportunities
Experience level:
- 1 year
Schedule:
- Monday to Friday
Application Question(s):
- Are you willing and eligible to obtain a Public Trust security clearance?
Education:
- Bachelor's (Required)
Experience:
- Tableau: 1 year (Required)
- SAS: 1 year (Required)
- Data analytics: 1 year (Required)
- Python: 1 year (Required)
Ability to Commute:
- Vienna, VA 22182 (Required)
Work Location: In person