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Northrop Grumman · 3 weeks ago

Data Insight Analyst or Principal Data Insight Analyst - R10213256

Edwards, CA

Part-time

Hybrid

Mid, Senior Level

$81K/yr - $122K/yr

2+ years exp

Northrop Grumman is a leader in technological advancements and is seeking a Data Insight Analyst or Principal Data Insight Analyst to join their team. The role involves specifying, collecting, processing, and presenting information from various data sets, generating actionable insights, and ensuring data integrity and metrics reporting.

AerospaceData IntegrationManufacturingRemote SensingSecurity

Growth Opportunities

No H1B

Security Clearance Required

U.S. Citizen Only

Responsibilities

The successful candidate will be responsible in specifying, collecting, processing, and presenting information from potentially several disparate data sets

Will generate actionable knowledge from data

Have the analytical and problem-solving skills necessary for quickly developing recommendations based on quantitative and qualitative data from many different types of sources

Have the ability to identify patterns and higher-level information from all the data sources through use of tools and application programming

Understands the general problem space and is confident in explaining the different insights generated from the data

Responsible for data integrity and metrics reporting

Candidate must be familiar with aircraft systems such as avionics/mechanical equipment as well as other common systems

Ability to extract and manipulate data from databases (e.g., SQL, SQL Server)

Ability to use statistical programming languages and tools (e.g., Python, Tableau)

Experienced Microsoft Office skills with emphasis in Excel, PowerPoint, and Access

Must have 2 years with bachelor’s degree or must have 0 years with Masters

6 years of relevant experience may be used as a substitute for education

Experience conducting ad hoc research and reporting through data analysis

Applicants must be willing to work a flexible work schedule that may include extended shifts, holidays, and weekends and support on call status for 24 hours-a-day, 7 days-a-week, 365 days a year

Applicants must be US citizens and hold a minimum active DoD Top Secret security clearance, in scope within 5 years, and be willing to submit to polygraph

Additionally, the ability to obtain and retain Special Program access is required as condition of employment within 365 days of submission

Ability to extract and manipulate data from databases (e.g., SQL, SQL Server)

Ability to use statistical programming languages and tools (e.g., Python, Tableau)

Advanced Microsoft Office skills with an emphasis in Excel, PowerPoint, and Access

Must have 5 years with bachelor’s degree or must have 3 years with Masters

10 years of relevant experience may be used as a substitute for education

Experience conducting ad hoc research and reporting through data analysis

Applicants must be willing to work a flexible work schedule that may include extended shifts, holidays, and weekends and support on call status for 24 hours-a-day, 7 days-a-week, 365 days a year

Applicants must be US citizens and hold a minimum active DoD Top Secret security clearance, in scope within 5 years, and be willing to submit to polygraph

Additionally, the ability to obtain and retain Special Program access is required as condition of employment within 365 days of submission

Operational experience is preferred over manufacturing or production, but all candidates will be considered

Understanding of Linear/Logistic Regression, Decision Trees, Random Forest boosting algorithms

Experience with technical writing skills and the ability to communicate complex data in a simple and actionable way

Additional education and/or experience relevant to the aircraft systems, aviation and aerospace Industry required

Qualification

SQLPythonTableauMicrosoft ExcelData analysisOperational experienceAircraft systems knowledgeTechnical writingCommunication skillsProblem-solving

Required

Ability to extract and manipulate data from databases (e.g., SQL, SQL Server)

Ability to use statistical programming languages and tools (e.g., Python, Tableau)

Experienced Microsoft Office skills with emphasis in Excel, PowerPoint, and Access

Must have 2 years with bachelor's degree or must have 0 years with Masters