Data Analyst
ADDITIONAL INFORMATION:
The National Geospatial-Intelligence Agency (NGA) serves as the world leader in providing timely, relevant, accurate and actionable geospatial intelligence (GEOINT). NGA's civilian, military and contract personnel evaluate imagery, maps, charts, multiple layers of foundation data - such as terrain, elevation and gravity - and the full spectrum of visible and invisible light in order to help users visualize what is happening at a particular place and time. Our intelligence officers go beyond describing 'what, where and when' to revealing 'how and why.' Our work enables decision advantage for our policymakers, warfighters, intelligence professionals and first responders. NGA is looking for Data Analysts who will work with mission and corporate-level data, and support non-data professionals on projects that solve data-related problems. Data Analysts engage with these professionals to rapidly understand their requirements and iteratively develop and release solutions to these problems. Data analysis projects are prioritized to achieve the Agency's mission - solutions that enhance mission capabilities and address key needs can and will scale throughout the Agency. Data Analysts must possess the ability to think strategically; to operate in a dynamic environment; and to work with and among diverse colleagues to deliver interoperable, enterprise-wide solutions. They should also have demonstrated keen problem-solving skills and strong interpersonal skills to work internally with different stakeholders. Knowledge of emerging technical skills, tools, and best practices, and willingness to continue to evolve one's skills and abilities, is key. Other duties may include:
Analyze and interpret data and datasets to investigate trends or anomalies, establish relationships, or predict future patterns among events and develop recommendations. Access, convert, format, clean, merge, and normalize data in advance of scientific and/or quantitative analysis. Formats, catalogs, and/or filters data and information to facilitate data access, integration, and interpretation. Distribute information, intelligence, and data to mission partners, organizations, and individuals to support customer missions and requirements. Analyze data, processes, services, and products to ensure that they meet quality standards and requirements. Identify a need for and know where and how to gather relevant information. Obtain, evaluate, organize, and maintain information. Analyze and interpret statistical data to identify trends or relationships among variables and factors that could affect the results of research. Apply mathematical principles or statistical approaches to solve moderately complex problems in scientific or applied fields. Prepare statistical reports, to include graphics or other visual representations of information. Visualize information, using a moderate range of tools, scripts and algorithms, support the creation of explanatory and predictive models, and conduct comparative and alternative analysis to address complex military and intelligence challenges. Analyze and interpret statistical data to identify trends or relationships among variables and factors that could affect the results of research. Apply mathematical principles or statistical approaches to solve moderately complex problems in scientific or applied fields. Prepare statistical reports, to include graphics or other visual representations of information. Visualize information, using a moderate range of tools, scripts and algorithms, support the creation of explanatory and predictive models, and conduct comparative and alternative analysis to address complex military and intelligence challenges. Additional Application Requirement:
You may be asked to complete one or more assessments in addition to the application you submit on this website as part of your application to NGA. These assessments may include but are not limited to:
1) Online questionnaires or assessments that require you to describe your job-related knowledge, skills, abilities, or other characteristics that are aligned with the mandatory and desirable qualifications of this job posting. The information you provide in the application you submit must support the response you provide to this questionnaire. You will receive an email to describe any additional assessments required. Please monitor your emails and complete any required assessments as soon as possible. MANDATORY QUALIFICATION CRITERIA:
For this particular job, applicants must meet all competencies reflected under the Mandatory Qualification Criteria to include education (if required). Online resumes must demonstrate qualification by providing specific examples and associated results, in response to the announcement's mandatory criteria specified in this vacancy announcement:
1. Demonstrated experience analyzing and/or interpreting data to:
- identify patterns, trends, or relationships among variables to inform decisions and/or; - find scalable solutions to complex problem-sets; and/or - close knowledge gaps and address business issues and concerns. 2. Knowledge of data visualization techniques to include the use of common software tools (e.g. Tableau, Power BI, matplotlib, ggplot2, Excel, etc.) 3. Experience in at least one of the following languages:
Python, R, JavaScript, SQL, MATLAB, or a similar language, as applied to computer programming/software engineering, process automation and/or data science/analysis. 4. Knowledge of data analytic and statistical modeling techniques such as classification, regression, similarity matching, clustering, co-occurrence grouping, profiling, link prediction, data reduction, stochastic modeling, A-B testing, network analysis and/or causal modelling. 5. Knowledge of math, statistics, and quantitative analysis concepts as demonstrated through formal education or professional experience. EDUCATION REQUIREMENT:
A. Education:
Bachelor's degree from an accredited college or university in Mathematics, Statistics, Actuarial Science, Computer Science, Engineering, Operations Research, or a related field. -OR- B. Combination of Education and
Experience:
A minimum of 24 semester (36 quarter) hours of coursework in any area listed in option A, plus experience that requires the application of tools and algorithms to identify trends and patterns in data, or in a related area that demonstrates the ability to successfully perform the duties associated with this work. As a rule, every 30 semester (45 quarter) hours of coursework is equivalent to one year of experience. Candidates should show that their combination of education and experience totals 4 years.DESIRABLE QUALIFICATION CRITERIA:
In addition to the mandatory qualifications, experience in the following is desired:
1. Demonstrated experience as an innovator and strategic problem solver. 2. Ability to perform with minimal direct task supervision and in ambiguous/uncertain environments. 3. Experience applying data visualization techniques and common software tools (e.g. Tableau, Power BI, matplotlib, ggplot2, Excel, etc.) to inform exploratory data analysis and/or generate data visualization products for internal/external audiences. 4. Effective collaborator in high-performance, geographically-distributed team environments. 5. Proven ability communicating ongoing work and findings to leadership and decision maker audiences through written, visual, and verbal reports and briefings. 6. Proven ability communicating technical analysis and findings to technical and non-technical audiences through written, visual, and verbal reports and briefings.
Estimated Salary: $20 to $28 per hour based on qualifications.
The National Geospatial-Intelligence Agency (NGA) serves as the world leader in providing timely, relevant, accurate and actionable geospatial intelligence (GEOINT). NGA's civilian, military and contract personnel evaluate imagery, maps, charts, multiple layers of foundation data - such as terrain, elevation and gravity - and the full spectrum of visible and invisible light in order to help users visualize what is happening at a particular place and time. Our intelligence officers go beyond describing 'what, where and when' to revealing 'how and why.' Our work enables decision advantage for our policymakers, warfighters, intelligence professionals and first responders. NGA is looking for Data Analysts who will work with mission and corporate-level data, and support non-data professionals on projects that solve data-related problems. Data Analysts engage with these professionals to rapidly understand their requirements and iteratively develop and release solutions to these problems. Data analysis projects are prioritized to achieve the Agency's mission - solutions that enhance mission capabilities and address key needs can and will scale throughout the Agency. Data Analysts must possess the ability to think strategically; to operate in a dynamic environment; and to work with and among diverse colleagues to deliver interoperable, enterprise-wide solutions. They should also have demonstrated keen problem-solving skills and strong interpersonal skills to work internally with different stakeholders. Knowledge of emerging technical skills, tools, and best practices, and willingness to continue to evolve one's skills and abilities, is key. Other duties may include:
Analyze and interpret data and datasets to investigate trends or anomalies, establish relationships, or predict future patterns among events and develop recommendations. Access, convert, format, clean, merge, and normalize data in advance of scientific and/or quantitative analysis. Formats, catalogs, and/or filters data and information to facilitate data access, integration, and interpretation. Distribute information, intelligence, and data to mission partners, organizations, and individuals to support customer missions and requirements. Analyze data, processes, services, and products to ensure that they meet quality standards and requirements. Identify a need for and know where and how to gather relevant information. Obtain, evaluate, organize, and maintain information. Analyze and interpret statistical data to identify trends or relationships among variables and factors that could affect the results of research. Apply mathematical principles or statistical approaches to solve moderately complex problems in scientific or applied fields. Prepare statistical reports, to include graphics or other visual representations of information. Visualize information, using a moderate range of tools, scripts and algorithms, support the creation of explanatory and predictive models, and conduct comparative and alternative analysis to address complex military and intelligence challenges. Analyze and interpret statistical data to identify trends or relationships among variables and factors that could affect the results of research. Apply mathematical principles or statistical approaches to solve moderately complex problems in scientific or applied fields. Prepare statistical reports, to include graphics or other visual representations of information. Visualize information, using a moderate range of tools, scripts and algorithms, support the creation of explanatory and predictive models, and conduct comparative and alternative analysis to address complex military and intelligence challenges. Additional Application Requirement:
You may be asked to complete one or more assessments in addition to the application you submit on this website as part of your application to NGA. These assessments may include but are not limited to:
1) Online questionnaires or assessments that require you to describe your job-related knowledge, skills, abilities, or other characteristics that are aligned with the mandatory and desirable qualifications of this job posting. The information you provide in the application you submit must support the response you provide to this questionnaire. You will receive an email to describe any additional assessments required. Please monitor your emails and complete any required assessments as soon as possible. MANDATORY QUALIFICATION CRITERIA:
For this particular job, applicants must meet all competencies reflected under the Mandatory Qualification Criteria to include education (if required). Online resumes must demonstrate qualification by providing specific examples and associated results, in response to the announcement's mandatory criteria specified in this vacancy announcement:
1. Demonstrated experience analyzing and/or interpreting data to:
- identify patterns, trends, or relationships among variables to inform decisions and/or; - find scalable solutions to complex problem-sets; and/or - close knowledge gaps and address business issues and concerns. 2. Knowledge of data visualization techniques to include the use of common software tools (e.g. Tableau, Power BI, matplotlib, ggplot2, Excel, etc.) 3. Experience in at least one of the following languages:
Python, R, JavaScript, SQL, MATLAB, or a similar language, as applied to computer programming/software engineering, process automation and/or data science/analysis. 4. Knowledge of data analytic and statistical modeling techniques such as classification, regression, similarity matching, clustering, co-occurrence grouping, profiling, link prediction, data reduction, stochastic modeling, A-B testing, network analysis and/or causal modelling. 5. Knowledge of math, statistics, and quantitative analysis concepts as demonstrated through formal education or professional experience. EDUCATION REQUIREMENT:
A. Education:
Bachelor's degree from an accredited college or university in Mathematics, Statistics, Actuarial Science, Computer Science, Engineering, Operations Research, or a related field. -OR- B. Combination of Education and
Experience:
A minimum of 24 semester (36 quarter) hours of coursework in any area listed in option A, plus experience that requires the application of tools and algorithms to identify trends and patterns in data, or in a related area that demonstrates the ability to successfully perform the duties associated with this work. As a rule, every 30 semester (45 quarter) hours of coursework is equivalent to one year of experience. Candidates should show that their combination of education and experience totals 4 years.DESIRABLE QUALIFICATION CRITERIA:
In addition to the mandatory qualifications, experience in the following is desired:
1. Demonstrated experience as an innovator and strategic problem solver. 2. Ability to perform with minimal direct task supervision and in ambiguous/uncertain environments. 3. Experience applying data visualization techniques and common software tools (e.g. Tableau, Power BI, matplotlib, ggplot2, Excel, etc.) to inform exploratory data analysis and/or generate data visualization products for internal/external audiences. 4. Effective collaborator in high-performance, geographically-distributed team environments. 5. Proven ability communicating ongoing work and findings to leadership and decision maker audiences through written, visual, and verbal reports and briefings. 6. Proven ability communicating technical analysis and findings to technical and non-technical audiences through written, visual, and verbal reports and briefings.
- Department:
1501 General Mathematics And Statistics - Salary Range:
$64,948 to $133,465 per year
Estimated Salary: $20 to $28 per hour based on qualifications.
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