This role pays less than
66%
of similar roles. Most pay
$126,800–$204,650
— the shaded band above.
At the midpoint, this role pays about
$140k
versus about
$166k
for comparable roles.
Based on 240 similar postings.
Employer
About General Dynamics
General Dynamics is a global aerospace and defense company offering a broad portfolio of products and services in business aviation, ship construction, land combat vehicles, and information technology. It serves customers in the U.S. government, allied governments, and a diverse array of commercial markets.
General Dynamics currently has
1123 open roles
on FindRole.
Listed pay typically runs
$124,093–$150,385
across 984 roles with salary data.
The Data Analysis Manager leads a remote, cross-functional team of data analysts, systems analysts, and data scientists to deliver analytics products, data systems, dashboards, and decision-support tools. This role combines technical project management with leadership to oversee the development of modern data platforms, automation, and advanced visualizations for federal programs serving refugee, immigrant, and social service populations. The manager is responsible for translating complex policy questions into analytical approaches while overseeing the design of Tableau or Power BI dashboards. Key responsibilities include managing project plans, coordinating stakeholder engagement, and ensuring high-quality data governance. Technical requirements include proficiency in SQL, R, Python, Databricks, and ETL/ELT tools. The role also involves utilizing statistical methods, modeling techniques, and geospatial analysis to provide actionable insights for program evaluation and operational decision-making within a federal government context.
Serve as the primary technical liaison to translate business questions into analytical solutions for stakeholders.
Oversee the design and deployment of Tableau or Power BI dashboards for self-service analytics.
Lead large-scale data preparation, integration, and automation using SQL, Python, R, and Databricks.
Guide the application of statistical methods, modeling techniques, and geospatial analysis to solve complex problems.
Mentor a remote team of analysts and scientists while providing technical direction and performance guidance.
Ensure rigorous quality assurance for all datasets, documentation, and automated data workflows.
What we're looking for
U.S. Citizenship is required to obtain and maintain a Public Trust clearance.
Bachelor's degree in a technical, quantitative, or related field such as Data Science, Statistics, Computer Science, Information Systems, Mathematics, Economics, or Public Policy.
5+ years of experience interpreting and analyzing quantitative and qualitative data in complex environments.
3+ years of managing data, analytics, business intelligence, product, or technical projects; Agile or iterative delivery experience preferred.
3+ years of supervisory, team lead, project management, program management, or product management experience.
Advanced SQL skills and proficiency in at least one scripting or statistical language such as R or Python.
Deep Tableau experience is required; Power BI experience is preferred.
Experience with Databricks, ETL/ELT, and advanced statistical modeling; geospatial analysis and cloud environments are preferred.
Remote (Richmond, VA)73 days ago
$108,100–$168,000
Power BI
SQL
DAX
Python
R
Oracle
Microsoft SQL Server
Excel
Databricks
TIBCO Spotfire
Business Objects
Pega
Data Modeling
Forecasting
Scenario Modeling
Data Governance
Query Optimization
Power BI
Tableau
Python
SAS
Databricks
MS SQL
AWS
Azure
GCP
Machine Learning
Predictive Modeling
Data Visualization
Data Pipelines
Statistical Modeling
Exploratory Data Analysis
Data Integrity