Financial Data Analyst
About The Position
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 answer out clients toughest challenges. 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, you'll also advise your client on what the information means and how it can be used to make an impact on critical intelligence questions. Work with us to drive large-scale business and process decisions through data insights.
Requirements
- 7+ years of experience in a finance or data science role
- Experience with scripting languages such as Python, SQL, or R
- Knowledge of government accounting and budgetary processes
- TS/SCI clearance with a polygraph
- Bachelor's degree in Finance or Data Science
Nice To Haves
- Experience developing Tableau or Power BI dashboards
- Experience developing program maps and processing development for projects at all stages
Responsibilities
- Use your data analytics expertise to support client and stakeholder relationships.
- Research, develop, and test data methodologies and generate cross-functional solutions through the analysis and interpretation of large data sets.
- Contribute to impactful work and guide decision-making across multiple organizations.
- Apply communication 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, Microsoft Office suite, and scripting languages such as SQL, Python, or R.
- Establish quantitative and qualitative metrics and key performance indicators to drive technical outcomes.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Industry
Professional, Scientific, and Technical Services
Number of Employees
1-10 employees
