Human Capital Data Analyst

Booz Allen Hamilton•McLean, VA

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 out 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 methodologies, 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. Present data findings and recommendations to clients and stakeholders using your knowledge of databases and scripting languages such as SQL, SPSS, Python, and Microsoft Office Suite. Establish quantitative and qualitative metrics and key performance indicators to drive technical outcomes. Apply data visualization through different formats such as graphs, tables, and PowerPoint slides. 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 using Tableau Desktop to aggregate and analyze performance measures collected through different methods
3+ years of experience identifying and collecting data using various tools and methods
2+ years of experience in Tableau Prep and Tableau Server
2+ years of experience developing data visualizations and dashboards to communicate key insights
Experience with quantitative data analysis, performance measures, data cleansing, metrics analysis, and applied research
Experience leveraging various programs to facilitate process automation while maintaining data integrity
Ability to translate complex, technical findings into an easily-understood narrative, in graphical, verbal, or written formats for non-technical audiences or executive leadership
Ability to execute projects and tasks with minimal guidance and supervision
TS/SCI clearance with a polygraph
Bachelor's degree

Nice To Haves

Experience in a programming language such as Python and SQL
Experience in an applied statistical package such as SPSS and R Studio
Experience supporting or managing a full-cycle annual workforce survey program, including activities associated with survey design, psychometric testing, reporting, and communicating results to senior business leaders
Possession of excellent verbal and written communication skills
Tableau Certification

Responsibilities

Use your data analytics expertise to support client and stakeholder relationships.
Research, develop, and test data methodologies, 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.
Present data findings and recommendations to clients and stakeholders using your knowledge of databases and scripting languages such as SQL, SPSS, Python, and Microsoft Office Suite.
Establish quantitative and qualitative metrics and key performance indicators to drive technical outcomes.
Apply data visualization through different formats such as graphs, tables, and PowerPoint slides.
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.