CNA Corporation
Data Analyst I
CNA Corporation, Arlington, Virginia, United States, 22201
CNA, Arlington, Virginia, United States of AmericaJob Description
Posted Tuesday, February 13, 2024 at 5:00 AM | Expired Friday, February 23, 2024 at 4:59 AMPRIMARY PURPOSECNA's Data Science Division (DSD) is hiring for a Data Analyst I. He/She will work on projects to develop advanced analytics and algorithms for the Department of the Navy and other government agencies to ensure America's defense in the 21st century. Data Analyst's learn CNA's unique approach to analytics that combines an understanding of the technical capabilities with insights acquired from up close and current experience with real-world military operations.The mission of the DSD is to develop innovative, cutting-edge analytics that are relevant, impactful, and actionable. The division provides data science expertise and support to the Department of the Navy and Department of Defense. The DSD develops models and analytics to support Navy problems across all Navy domains, including aviation, surface warfare, undersea warfare, cyber, logistics, readiness, force generation, sustainment, acquisition, and cost modeling. The division currently supports the Navy’s Performance-to-Plan forum, which provides senior Navy leadership forward‑looking performance forecasts, which are foundational to articulating Navy progress toward readiness and capability goals.CNA fosters an inclusive culture that values diverse backgrounds and perspectives. Our flexible and engaging work environment encourages iterative and creative collaboration at every stage of the problem solving process. Our employees are committed to helping clients develop effective solutions to better manage their programs through scientific, data-driven approaches.JOB DUTIES/RESPONSIBILITIESLeverage R and/or Python to develop machine learning models for, e.g., regression, classification, natural language processing, and/or image recognition.Develop an understanding of Navy and Marine Corps operations, maintenance, supply, training, and personnel datasets.Extract, transform, load (ETL) data from various data sources in order to initiate analysis.Conduct data preparation including cleaning, wrangling, joining, and converting data in order to provide a usable analytic dataset.Conduct Exploratory Data Analysis (EDA) to include the use of data visualizations (e.g. Dash, MATPLOTLIB, R Shiny, ggplot2, Power BI, etc.), correlations, empirical/theoretical distributions of data, and summary statistics.Apply statistical methods including descriptive and inferential techniques using parametric and nonparametric statistics.Communicate analysis and results clearly, concisely and precisely.Support projects by analyzing complex datasets and using effective visualizations of data in their results.Serve as an effective team member by fulfilling assignments in a timely and efficient manner. Works cooperatively and accepts guidance and direction from others. Exhibits a positive attitude, and takes responsibility for own actions and outcomes.Interact with functional peers within the organization, as well as sponsors/clients/vendors; sometimes with guidance from others. Interaction normally involves exchange or presentation of factual, but somewhat varied and complex information.Perform other duties as assigned.JOB REQUIREMENTSEducation:
Bachelor’s degree in Data Science, Programming, Statistic or related field or equivalent experience required.Experience:
Relevant experience demonstrated from course work and/or relevant work history including internships.Skills:
Ability to construct effective briefings using MS PowerPoint and intermediate skills with MS Word and Excel and other standard software packages.Ability to apply machine learning techniques, building models (statistical, mathematical, simulation, etc.) in programming languages such as R or Python.Ability to analyze complex datasets using effective visualizations of data in achieved results; skilled in programming, statistics, machine learning, and data visualization.Working knowledge of data and information management analysis techniques and best practices.
Other:
Ability to obtain and maintain an Active Security Clearance.Required DocumentsResume or CVCover letter - Please upload a cover letter as part of your application that introduces yourself, summarizes your relevant skills and experiences, and describes why you would be a valuable asset to CNA’s DSD Division.Transcripts - Please upload your undergraduate transcripts (unofficial copies are acceptable).***Voluntary (but highly desired) document***Please include a personal statement as part of your application. A personal statement is a chance for us to get to know you. The statement is your opportunity to share your goals, interests, influences and show us that you will be a valuable asset to our organization.CNA is committed to providing equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, religion, color, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, family medical history or genetic information, political affiliation, military service and protected veterans, or other non-merit based factors. In addition to federal legal requirements, CNA complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. These protections extend to all terms and conditions of employment, including recruiting and hiring practices, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training and career development programs.
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Posted Tuesday, February 13, 2024 at 5:00 AM | Expired Friday, February 23, 2024 at 4:59 AMPRIMARY PURPOSECNA's Data Science Division (DSD) is hiring for a Data Analyst I. He/She will work on projects to develop advanced analytics and algorithms for the Department of the Navy and other government agencies to ensure America's defense in the 21st century. Data Analyst's learn CNA's unique approach to analytics that combines an understanding of the technical capabilities with insights acquired from up close and current experience with real-world military operations.The mission of the DSD is to develop innovative, cutting-edge analytics that are relevant, impactful, and actionable. The division provides data science expertise and support to the Department of the Navy and Department of Defense. The DSD develops models and analytics to support Navy problems across all Navy domains, including aviation, surface warfare, undersea warfare, cyber, logistics, readiness, force generation, sustainment, acquisition, and cost modeling. The division currently supports the Navy’s Performance-to-Plan forum, which provides senior Navy leadership forward‑looking performance forecasts, which are foundational to articulating Navy progress toward readiness and capability goals.CNA fosters an inclusive culture that values diverse backgrounds and perspectives. Our flexible and engaging work environment encourages iterative and creative collaboration at every stage of the problem solving process. Our employees are committed to helping clients develop effective solutions to better manage their programs through scientific, data-driven approaches.JOB DUTIES/RESPONSIBILITIESLeverage R and/or Python to develop machine learning models for, e.g., regression, classification, natural language processing, and/or image recognition.Develop an understanding of Navy and Marine Corps operations, maintenance, supply, training, and personnel datasets.Extract, transform, load (ETL) data from various data sources in order to initiate analysis.Conduct data preparation including cleaning, wrangling, joining, and converting data in order to provide a usable analytic dataset.Conduct Exploratory Data Analysis (EDA) to include the use of data visualizations (e.g. Dash, MATPLOTLIB, R Shiny, ggplot2, Power BI, etc.), correlations, empirical/theoretical distributions of data, and summary statistics.Apply statistical methods including descriptive and inferential techniques using parametric and nonparametric statistics.Communicate analysis and results clearly, concisely and precisely.Support projects by analyzing complex datasets and using effective visualizations of data in their results.Serve as an effective team member by fulfilling assignments in a timely and efficient manner. Works cooperatively and accepts guidance and direction from others. Exhibits a positive attitude, and takes responsibility for own actions and outcomes.Interact with functional peers within the organization, as well as sponsors/clients/vendors; sometimes with guidance from others. Interaction normally involves exchange or presentation of factual, but somewhat varied and complex information.Perform other duties as assigned.JOB REQUIREMENTSEducation:
Bachelor’s degree in Data Science, Programming, Statistic or related field or equivalent experience required.Experience:
Relevant experience demonstrated from course work and/or relevant work history including internships.Skills:
Ability to construct effective briefings using MS PowerPoint and intermediate skills with MS Word and Excel and other standard software packages.Ability to apply machine learning techniques, building models (statistical, mathematical, simulation, etc.) in programming languages such as R or Python.Ability to analyze complex datasets using effective visualizations of data in achieved results; skilled in programming, statistics, machine learning, and data visualization.Working knowledge of data and information management analysis techniques and best practices.
Other:
Ability to obtain and maintain an Active Security Clearance.Required DocumentsResume or CVCover letter - Please upload a cover letter as part of your application that introduces yourself, summarizes your relevant skills and experiences, and describes why you would be a valuable asset to CNA’s DSD Division.Transcripts - Please upload your undergraduate transcripts (unofficial copies are acceptable).***Voluntary (but highly desired) document***Please include a personal statement as part of your application. A personal statement is a chance for us to get to know you. The statement is your opportunity to share your goals, interests, influences and show us that you will be a valuable asset to our organization.CNA is committed to providing equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, religion, color, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, family medical history or genetic information, political affiliation, military service and protected veterans, or other non-merit based factors. In addition to federal legal requirements, CNA complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. These protections extend to all terms and conditions of employment, including recruiting and hiring practices, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training and career development programs.
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