This role pays more than
61%
of similar roles. Most pay
$143,600–$201,400
— the shaded band above.
At the midpoint, this role pays about
$183k
versus about
$172k
for comparable roles.
Based on 240 similar postings.
Employer
About Northrop Grumman
Northrop Grumman is a leading global aerospace and defense technology company providing systems in autonomous systems, cyber, C4ISR, space, strike, and logistics. Industry: Aerospace & Defense
Northrop Grumman currently has
344 open roles
on FindRole.
Listed pay typically runs
$114,000–$171,000
across 327 roles with salary data.
Manager Data Analytics 2 serves as a hands-on leader within the Aeronautics Systems division, overseeing a team of data engineers and scientists to establish a culture of data-driven decision making. The role involves implementing program-specific data strategies, managing infrastructure and system automation, and developing prescriptive, predictive, diagnostic, descriptive, and cognitive analytics through automated solutions. Key responsibilities include identifying business inefficiencies, establishing reporting standards, and ensuring consistent UI/UX design across the program. To succeed, the candidate must utilize Python, SQL, Tableau, and NoSQL databases like MongoDB or Neo4J while navigating large-scale distributed software and agile methodologies. The position addresses the challenge of creating business value by promoting advanced analytics techniques across diverse program operations to improve performance analysis and provide actionable recommendations for complex operational problems within a high-security environment.
Earned Value Management (EVM)
Microsoft Project
RF Systems
FAR
DFARS
CPIF
FPIF
FFP
IRAD
CRAD
Program Management
Proposal Development
Integrated Program Teams (IPT)
Python
SQL
Power BI
Tableau
Looker
Snowflake
Databricks
ETL
Data Modeling
RPA
AI
Machine Learning
API Integration
Data Pipelines
Business Intelligence
Automation
Artificial Intelligence
Machine Learning
Deep Learning
Natural Language Processing
Statistical Modeling
Data Mining
Clustering
Classification
Regression
Decision Trees
Support Vector Machines
Genetic Algorithms
Anomaly Detection
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