Principal Finance Insights & AI Analyst jobs in United States
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Northrop Grumman Australia · 4 hours ago

Principal Finance Insights & AI Analyst

Northrop Grumman is a leader in technological advancements, seeking a Finance Insights Analyst to join their Finance AI & Analytics organization. The role involves conducting quantitative analyses and developing data products to support business management, enabling informed decision-making and operational excellence.

Defense & Space
badNo H1BnoteSecurity Clearance RequirednoteU.S. Citizen Onlynote

Responsibilities

Analyzing business requirements and processes to identify metric needs and opportunities for performance monitoring (e.g., customer satisfaction, service level agreements, case volume metrics, case resolution times, etc)
Collaborating with business leaders to define, develop, and maintain business metrics and KPIs that align with organizational goals
Defining data requirements, gathering and validating information, while also applying sound judgment for people-related business problems and workforce management decisions
Creating strategic analyses by forming structured hypotheses, identifying patterns in data using quantitative methods and effective data visualizations, and deriving insights that drive decision making and operational improvements
Developing and maintaining innovative products that leverage data and advanced analytics
Driving analytics projects from initial concept through deployment, leveraging opportunities for automation
Providing training and support to stakeholders on data analysis tools and metrics interpretation
Conducting benchmarking against industry standards and competitors to assess performance and identify areas for improvement
Staying abreast of industry trends and methodologies and contributing innovative ideas to drive business value

Qualification

Data AnalyticsSQLPythonData VisualizationData StorytellingQuantitative AnalysisPerformance MetricsKPI DevelopmentFinancial PlanningSAPIBM Planning AnalyticsCollaboration

Required

Must have, at-minimum, a Bachelor's degree with 5 years of relevant experience OR a Master's degree with 3 years of relevant professional data analytics experience - OR - a PhD with 1 year of relevant professional data analytics experience
Must have experience in developing performance metrics and using them to inform business strategies
Must have the ability to extract and manipulate data from databases using SQL and write custom queries. Familiarity with common table expressions and building views
Must have the ability to apply quantitative and statistical approaches to answer questions using data
Must be proficient using an object-oriented programming language (e.g., Python or R) to conduct analysis and create visualizations
Must be proficient in data visualization using Tableau or similar dashboarding tools
Must have experience in data storytelling - creating compelling, concise narratives to communicate developed insights
Must have experience collaborating on projects across teams, managing relationships, and communicating findings to audiences
Must have the ability to obtain and maintain a security clearance

Preferred

Degree in a quantitative field (engineering, mathematics, economics, statistics, computer science, etc.)
Experience with finance- or business management-related data
Experience working with enterprise resource planning systems (ex. SAP)
Experience working with financial planning systems and processes (ex. IBM Planning Analytics)

Benefits

Medical, Dental & Vision coverage
401k
Educational Assistance
Life Insurance
Employee Assistance Programs & Work/Life Solutions
Paid Time Off
Health & Wellness Resources
Employee Discounts

Company

Northrop Grumman Australia

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Northrop Grumman Australia is the Australia-based arm of Northrop Grumman Corporation and committed to generating long-term prosperity, investing in advanced Research & Development, sovereign and exportable Intellectual Property, high-quality jobs and long-term technology leadership across the Commonwealth.

Funding

Current Stage
Late Stage
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