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USAJOBS · 4 weeks ago

Data Analyst (AGU Event)

Multiple Locations, USA

Full-time

Onsite

Mid Level

$63K/yr - $123K/yr

4+ years exp

The National Geospatial-Intelligence Agency (NGA) is a leader in providing timely, relevant, accurate, and actionable geospatial intelligence. The Data Analyst role focuses on applying tools and algorithms to analyze data, communicate findings, and support decision-making processes.

ConsultingGovernmentHuman ResourcesInformation TechnologyInternetStaffing Agency

No H1B

Security Clearance Required

U.S. Citizen Only

Responsibilities

Data Analysts apply tools and algorithms to identify trends and patterns in data

They communicate with stakeholders and conduct research to develop an understanding of relevant programs and requirements

These analysts identify and collect data from various sources, evaluate the data to ensure that they meet analytic needs, and prepare the data for analysis

They also select, apply, and assess analytic models and techniques, and review and verify the results

They prepare reports and briefings and consult with stakeholders to communicate findings

Qualification

Data analysisDatabase managementData visualizationETL processStatistical modelingCommunication skillsTeam collaboration

Required

Demonstrated experience translating customer needs into data products

Demonstrated experience analyzing and/or interpreting data to identify patterns, trends, or relationships among variables to inform decisions

Demonstrated experience with structured and unstructured databases such as, but not limited to: Oracle, Elastic, Postgres SQL, and/or MySQL

Familiarity with or knowledge of the Extract, Transform, and Load (ETL) process

Familiarity with or 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

Demonstrated 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

A 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, or a related field

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

Preferred

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

Experience working with customer organizations or operations (e.g., military, policy-makers, and law enforcement)

Demonstrated experience working in a team environment or as part of a team