Data Analyst The Opportunity: As a 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 analyst like you to bring your knowledge to support our law enforcement and criminal justice community. As a client-facing data analyst on our law enforcement 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 keeping our nation safe and secure. How You’ll Contribute: As a data analyst on our team, you’ll: Use your technical knowledge and analytical mindset to support client and stakeholder relationships. Research, develop, and test data met hodologies, and generate cross-functional solutions through analysis of large data sets. Contribute to impactful work and guide decision-making across multiple organizations. Apply data visualization 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 tools such as Power BI and Micro sof t Office Suite. Establish quantitative and qualitative met rics and key performance indicators to drive technical outcomes. Apply data visualization, including Power BI, through different formats such as graphs, tables, and PowerPoint slides. Grow your communication and technical skills by creating data-centric solutions across the federal criminal justice landscape. Work with us to help drive large-scale business and process decisions through data insights. Join us. The world can’t wait.
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Job Type
Full-time
Career Level
Mid Level
Number of Employees
1-10 employees