Senior BI & Analytics Engineer

General Dynamics Information Technology, Inc.

United States

On-site

USD 120,000 - 150,000

Full time

4 days ago

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Job summary

General Dynamics Information Technology, Inc. is seeking a Senior BI Developer to deliver advanced dashboards, analytics, and AI/ML capabilities within the CMM program. You will deliver data-driven insights to support 204+ federal courts with strict compliance requirements.

Responsibilities include building interactive dashboards, data governance, SLA adherence, and collaborating with data engineers, product owners, and UX designers to turn KPIs into actionable insights.

Qualifications

MA/MS degree with 5+ years or BS/BA degree with 7+ years of general experience in information systems.
Expertise in Python, SQL & data transformations supporting large-scale analytical data systems.
Strong hands-on experience with BI tools such as Qlik (preferred), AWS QuickSight (preferred), Power BI, or Tableau.
Advanced SQL skills and experience with analytical data models and semantic layers.
Experience delivering reporting in regulated or high-sensitivity data environment.
Experience assisting with testing, by writing acceptance criteria & confirming test cases results.

Responsibilities

Develop and integrate configurable dashboards, self-service reporting capabilities, and predictive analytics within the CMM application.
Design intuitive, interactive dashboards and visualizations that communicate business insights effectively.
Coordinate and implement data replication or feeds required to support downstream stakeholders and external systems.
Continuously monitor system performance to ensure SLA targets and fast dashboard load times.
Drive user adoption of dashboards and reporting tools across targeted users.
Collaborate with product owners, data engineers, and UX designers to ensure seamless integration of analytics features into the CMM user experience.
Build and enhance dashboards and reports in approved BI tools, ensuring performance and usability at scale.
Implement and validate SQL logic, calculations, and metric definitions across reporting products.
Coordinate with Data Engineering to resolve upstream data issues and curate data for reporting.
Apply visualization standards and documentation so reports are consistent and interpretable.
Establish and enforce data governance frameworks, standards, and best practices for data accuracy and security.
Drive continuous improvement of BI platforms through performance tuning, automation, and metadata management.
Support architecture design documents, governance artifacts, data lineage, and metadata catalog processes.
AI/ML Capabilities: support and consume AI/ML solutions with government compliance.