Human Capital Data Analyst

Booz Allen Hamilton•Chantilly, VA

6h•$99,000 - $225,000

About The Position

Human Capital Data Analyst The Opportunity: As Data Analyst, 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. As a Data Analyst at Booz Allen, you can use your skills and experience to support a mission and use data for good. We need a data expert like you to bring your expertise to empower our clients to understand data. As a client-facing Data Analyst on our National Security team, you’ll work closely with your clients to understand their questions and needs and then dig into their data-rich environments to find the pieces of their information puzzle. Not only will you provide a deep understanding of their data, but you’ll also advise your client on what the information means and how it can be used to make an impact on helping translate data into recommendations. How You’ll Contribute: As a Data Analyst on our team, you’ll: Use your data analytics expertise to support client and stakeholder relationships. Research, develop, and test data met hodologies, and generate cross-functional solutions through collection, interpretation, evaluation, and analysis of large data sets. Contribute to impactful work and guide decision-making across multiple organizations. Apply data skills and data analytics expertise by simplifying technical requirements and trends, based on audience. Apply data visualization through different formats such as graphs, tables, PowerPoint slides, and interactive dashboards. Present data findings and recommendations to clients and stakeholders. Grow your communication and technical skills by creating data-centric solutions across the client space. Work with us to drive large-scale business and process decisions through data insights. Join us. The world can’t wait.

Requirements

3+ years of experience with SQL, Python, or Tableau
Experience with using Micro sof t Excel, including formulas, pivot tables, and Power Query
Experience identifying and collecting data using various tools and met hods
Experience with quantitative data analysis, performance measures, data cleansing, met rics analysis, and applied research
Experience leveraging various programs to facilitate process automation while maintaining data integrity
Experience developing data visualizations, dashboards, and presentations to communicate key insights
Ability to anticipate client or project needs and to simplify those needs to their core requirements with minimal guidance and supervision
Ability to translate complex, technical findings into an easily understood narrative, in graphical, verbal, or written formats for non-technical audiences or executive leadership
TS/SCI clearance with a polygraph
Bachelor's degree

Nice To Haves

3+ years of experience with SQL, Python, and Tableau
Experience implementing data strategy and data governance practices
Experience leveraging GenAI services
Knowledge of natural language processing techniques
Knowledge of commer cia l cloud services used by the IC
Possession of excellent verbal and written communication skills
Master’s degree
Security+ Certification

Responsibilities

Use your data analytics expertise to support client and stakeholder relationships.
Research, develop, and test data met hodologies, and generate cross-functional solutions through collection, interpretation, evaluation, and analysis of large data sets.
Contribute to impactful work and guide decision-making across multiple organizations.
Apply data skills and data analytics expertise by simplifying technical requirements and trends, based on audience.
Apply data visualization through different formats such as graphs, tables, PowerPoint slides, and interactive dashboards.
Present data findings and recommendations to clients and stakeholders.
Grow your communication and technical skills by creating data-centric solutions across the client space.
Work with us to drive large-scale business and process decisions through data insights.