About the position
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. As a client-facing Data Analyst on our DoD 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. Work with us to drive large-scale business and process decisions through data insights.
Requirements
- 2+ years of experience with data exploration, data cleaning, data analysis, data visualization, or data mining
- 2+ years of experience communicating analysis in both written and verbal forms
- Experience writing analytical and technical reports and developing data visualizations to deliver key insights
- Experience with a scripting language such as SQL, R, or Python to extract data and perform analytics and visualizations
- Knowledge of good data principles, including data cleaning, preprocessing, and wrangling
- Ability to clearly convey complex data insights to non-technical stakeholders and provide writing samples
- Ability to maintain accuracy while dealing with large data sets with a high attention to detail and quality
- Secret clearance
- Bachelor's degree
Nice-to-haves
- Experience with inferential statistics, including hypothesis testing, confidence intervals, and design of experiments
- Experience with DevOps principles and Agile methodologies such as Kanban and Scrum
- Experience with version control systems such as Git
- Knowledge of descriptive statistics, including measures of central tendency and dispersion
- Knowledge of probability distributions, both discrete and continuous
Benefits
- Health benefits
- Life insurance
- Disability insurance
- Financial benefits
- Retirement benefits
- Paid leave
- Professional development
- Tuition assistance
- Work-life programs
- Dependent care
- Recognition awards program
