Data Visualization Specialist, Senior

Booz Allen Hamilton•Chantilly, VA

7d•$77,600 - $176,000

About The Position

As a data visualization specialist, you love diving into data and turning it into meaningful insights. With the abundance of structured and unstructured data, you understand the importance of transforming complex data sets into useful information to solve challenges. You can use your skills and experience to support a mission and use data for good. In this role, you’ll work closely with the team to understand client questions and needs and then dig into their data-rich environments to bring together different data sources to develop dashboards that will provide answers to their business questions.

Requirements

2+ years of experience with data visualization tools such as PowerBI or Tableau
Experience utilizing Python, including libraries such as pandas, NumPy, Matplotlib, or Seaborn
Experience utilizing SQL for reporting and dashboard creation
Experience preparing datasets for analysis
Knowledge of databases, including relational databases and schema design
Ability to write complex SQL queries, including joins, CTEs, or window functions
Ability to work with a team in a collaborative manner
TS/SCI clearance with a polygraph
Bachelor’s degree

Nice To Haves

Experience working with Human Resources data
Experience with Jira
Knowledge of agile software development practices
Ability to perform in a fast-paced work environment
Ability to connect to an API
Ability to adjust quickly to changing priorities and make progress in areas where high ambiguity and uncertainty exists
Ability to think critically, using logic and reasoning to help identify alternative solutions, conclusions, or approaches to problems
Possession of excellent verbal and written communication skills
Master's degree

Responsibilities

Use your technical knowledge and analytical mindset to support client and stakeholder relationships.
Research, develop, and test data methodologies, and generate cross-functional solutions through collection and synthesis of large data sets.
Use your knowledge of databases, scripting languages such as SQL or Python to develop relevant data queries and data visualization solutions.
Apply data visualization techniques in dashboard tools such as PowerBI or Tableau.
Work with us to help drive large-scale business and process decisions through data.