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Data Analyst, Senior in St. Louis, MO at Booz Allen Hamilton Inc.

Date Posted: 12/6/2018

Job Snapshot

Job Description

Job Number: R0043903

Data Analyst, Senior

Key Role:

Maintain responsibility for developing methods for querying, visualizing, aggregating, and correlating big data across intelligence disciplines. Optimize existing databases to speed the query, input, export, and visualization of data and develop 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, ensuring repeatability, efficiency, and knowledge capture enhancement. Use mathematical concepts and techniques to advance the clients’ ability to solve complex GEOINT analysis problems and automate or assist analytic endeavors, as defined by client leadership and analytic personnel. Leverage 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 both temporally and spatially. Provide work leadership to lower-level 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 likelihoods using traditional single discipline means

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

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

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

-Experience with using mathematical concepts and techniques to solve complex GEOINT analysis problem sets

-Knowledge of concepts associated with structured data and relational databases

-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 with 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 using 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

-TS/SCI clearance with a polygraph

-BA or BS degree in Data Science or a related field preferred; MA or MS degree in Data Science or a related field a plus

Clearance:

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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