Booz Allen Hamilton Data Analyst, Senior in Tampa, Florida

Data Analyst, SeniorinTampa, FLatBooz Allen Hamilton Inc.

Date Posted:12/7/2018

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Job Snapshot

  • Employee Type:


  • Location:

Tampa, FL

  • Job Type:

Strategy - Planning

  • Experience:

Not Specified

  • Date Posted:


About Us

At Booz Allen, we harness our collective ingenuity to solve our clients’ toughest management and technology problems. We work with governments, Fortune 500 corporations, and not-for-profits around the globe, in industries ranging from defense to health, energy to international development. We believe there is no product, code, or strategy that can create progress—only people can. That’s why for more than 100 years we’ve empowered our team: over 24,000 dreamers, drivers, and doers who work together to change the world .

Job DescriptionJob Number: R0043897

Data Analyst, Senior

Key Role:

Maintain responsibility for developing methods, creating queries, visualizing, aggregating, and correlating big data across intelligence disciplines. Optimize existing databases to speed the query, input, export, and visualization of data, including developing strategies for exposing new datasets and creating migration plans for legacy datasets. Develop scripts in Visual Basic, R, Python, or other software for statistical models using large datasets to extract patterns, relationships, and anticipatory behaviors. Develop repeatable model efficiently, and capture knowledge. Leverage mathematical concepts and techniques, advance the clients’ abilities to solve complex GEOINT analysis problems, and automate or assist analytic endeavors as defined by client leadership and analytic personnel. Use tools and software, including ArcGIS, Microsoft Excel, SPSS, SAS, MatLab, R, and data visualization packages, such as Tableau, to analyze operational data and visualize analytic assessments temporally and spatially. Provide work leadership to junior employees.

Basic Qualifications:

-Experience with applying multidisciplinary mathematical and statistical models via programming languages to large data sets to extract patterns, relationships, and anticipatory behavioral patterns using traditional single discipline means

-Experience in developing tradecraft techniques and training solutions for discovery, preparation, manipulation, and normalization of big data so that methods are repeatable and explained to analysts

-Experience with mathematical concepts and techniques to solve complex GEOINT analysis problem sets, and comprehend concepts associated with structured data and relational databases

-Experience in conceptualizing the relationship between a database structure and the requirements for analyzing and visualizing those data temporally and spatially

-Experience in writing scripts in Visual Basic, R, Python, Java, JavaScript, C++ or other software for modeling processes, with a focus on repeatability, efficiency, knowledge capture, and hypothesis testing

-Experience with ArcGIS, Excel, Python, SPSS, R, or other statistical packages to analyze and visualize data both temporally and spatially to assist in data integrity checks, including asking the next question, and displaying analytical assessments

-TS/SCI clearance

-HS diploma or GED and 10 years of experience in data analytics, data science, or data visualization, BA or BS degree and 6 years of experience in data analytics, data science, or data visualization, or MA or MS degree and 4 years of experience in data analytics, data science, or data visualization

Additional Qualifications:

-Experience in maintaining, moving, and manipulating data between applications using appropriate software or Extract-Transform-Load (ETL) procedures, including Microsoft Excel spreadsheets, Microsoft Access database management system or ORACLE, PostgreSQL, or SQL Server and importing and cleaning analyst-provided datasets

-Experience with statistical software, including SPSS, SAS, and MATLAB, desktop software, including Microsoft Office and Access, the Windows operation environment, and software packages used for advanced statistical analysis of operational data

-Experience with comprehending and explaining the relationship between the data collected for a real-world problem and the required structure of a relational database to help solve that problem


Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required.

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