Data Analyst (Hiring Event)
What you'd do
Data Analysts combine mission and business analytics knowledge and a consultative approach to prepare reports, briefings, and communicate recommendations to enable stakeholder decision making. Data analysts identify, collect, structure, and evaluate data from various sources to meet analytic needs and prepare data for analysis using a range of data and visualization tools in alignment with data go
Major duties
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.
What you need to qualify
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: Experience translating customer needs into data products. Experience analyzing and/or interpreting data to identify patterns, trends, or relationships among variables to inform decisions. Familiarity with the Extract, Transform, and Load (ETL) process. Demonstrated proficiency working with structured and unstructured databases such as but not limited to Oracle, Elastic, Postgres SQL, and/or MySQL. 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 modeling. Experience applying data visualization techniques with 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. EDUCATION REQUIREMENT: A. Education: Bachelor's degree from an accredited college or university in Data Analytics, Business Intelligence, Mathematics, Statistics, Actuarial Science, Computer Science, Engineering, Information Design, Operations Research, Finance, Information Technology, 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: Experience working with multiple projects simultaneously. Experience communicating technical analysis/findings to non-technical and technical audiences such as decision makers through written, visual, and/or verbal reports and/or briefings. Experience working with business processes to improve efficiency and support program improvements. Demonstrated experience working in a team environment or as part of a team. Experience working with customer organizations or operations (e.g., military, policy-makers, and law enforcement).
Before you apply
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