Data Analyst

Booz Allen Hamilton•Alexandria, VA

8d•$62,000 - $141,000•Onsite

About The Position

As a data scientist, you’re excited at the prospect of unlocking the secrets held by a data set, and you’re fascinated by the possibilities presented by IoT, machine learning, and artificial intelligence. In an increasingly connected world, massive amounts of structured and unstructured data open new opportunities. As a data scientist at Booz Allen, you can help turn these complex data sets into useful information to solve global challenges. Across private and public sectors—from fraud detection to cancer research to national intelligence—we need you to help find the answers in the data. You'll serve as part of the Booz Allen Team that supports assessing modernizing and future military capabilities across Combatant Commands. Identify and collect data sources, analyze and extract key data and information, and evaluate and monitor data quality to meet client organization's needs. You will research, develop, and test data methodologies, and generate cross-functional solutions through the collection, analysis, and visualization of multiple data sets. You'll apply data cleansing skills and data analytics experience by simplifying technical requirements and trends, based on the audience. You'll assist and participate in data validation and cleaning to ensure the quality and integrity of the data. You'll present data findings and recommendations to clients and stakeholders using your knowledge of databases, scripting languages such as SQL, Python, R, and Microsoft Office. You'll establish quantitative and qualitative metrics and key performance indicators to drive technical outcomes. You'll produce data visualization through different tools such as Tableau, Qlik, and Power BI, documenting the processes used to produce visuals. You'll also participate in various program meetings, collaborate with stakeholders, develop documents and briefs, present results and communicate effectively with Joint Force leaders at the GS-15 and O-6 level and above.

Requirements

5+ years of experience implementing good data principles, including data cleaning, preprocessing, and analysis to identify insights and trends
Experience leveraging R or Python for data transformations
Experience using Palantir Foundry or Maven Smart Systems to construct pipelines, ontologies, or workshops
Experience using Microsoft tools such as Excel, Power Apps, Power Automate, or SharePoint
Experience communicating data insights in both written and verbal forms
Ability to manage multiple tasks with tight deadlines at the same time
TS/SCI clearance
HS diploma or GED

Nice To Haves

Experience collecting requirements and implementing processes or product improvements
Experience identifying Artificial Intelligence (AI) use cases and training non-technical user on AI
Knowledge of quantitative data modeling techniques and widely used modeling tools
Bachelor’s degree in a related field

Responsibilities

Identify and collect data sources
Analyze and extract key data and information
Evaluate and monitor data quality to meet client organization's needs
Research, develop, and test data methodologies
Generate cross-functional solutions through the collection, analysis, and visualization of multiple data sets
Apply data cleansing skills and data analytics experience by simplifying technical requirements and trends, based on the audience
Assist and participate in data validation and cleaning to ensure the quality and integrity of the data
Present data findings and recommendations to clients and stakeholders
Establish quantitative and qualitative metrics and key performance indicators to drive technical outcomes
Produce data visualization through different tools such as Tableau, Qlik, and Power BI, documenting the processes used to produce visuals
Participate in various program meetings
Collaborate with stakeholders
Develop documents and briefs
Present results and communicate effectively with Joint Force leaders at the GS-15 and O-6 level and above