Data Analyst, Mid

Key Role:

Apply business and technical expertise to the analytics processes, tools, and applications for a business function or business unit. Apply quantitative and qualitative modeling techniques to data. Interpret data to allocate resources and drive business decisions. Leverage analytical results to analyze technically sound recommendations in the form of a business case analysis, analysis of alternatives, and IT strategy documents. Apply analytical best practices for data collection, aggregation, normalization, and analysis. Develop innovative solutions to complex problems. Work without considerable direction and mentor or supervise team members.

Basic Qualifications:

-3+ years of experience with machine learning, data mining, or statistics

-Experience with using R, Perl, Python, SAS, SQL, or SPSS for the analysis of data

-Experience working in an Agile environment

-Knowledge of an object-oriented language, including Java, C++, C#, or Python

-Ability to show data gathering, analytical, and problem-solving expertise

-Ability to obtain a security clearance

-Bachelor's degree


Applicants selected will be subject to a security investigation and may need to meet

eligibility requirements for access to classified information.

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