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Agile Defense · 1 week ago

Senior Business Intelligence Analyst

Omaha, NE

Full-time

Onsite

Senior Level

5+ years exp

Agile Defense is a company focused on adaptive innovation to support national missions through advanced technologies. They are seeking a Senior Business Intelligence Analyst to design and build analytical infrastructure that enhances data access and enables self-service analytics capabilities for business stakeholders.

Information ServicesInformation TechnologySoftware

Growth Opportunities

No H1B

Security Clearance Required

U.S. Citizen Only

Responsibilities

Design and develop comprehensive dashboards and reports that track key business metrics and performance indicators

Create intuitive, self-service analytics platforms that empower business users to explore data independently

Build automated reporting systems that deliver timely insights to stakeholders across the organization

Ensure data accuracy and consistency across all business intelligence deliverables

Partner with business leaders to understand analytical needs and translate requirements into technical solutions

Design data models and analytical frameworks that support strategic decision-making

Establish governance standards for metrics, definitions, and reporting across the organization

Lead initiatives to improve data literacy and self-service capabilities throughout the company

Create compelling data visualizations that communicate complex insights to diverse audiences

Build interactive tools that allow stakeholders to drill down into data and explore different scenarios

Design alerting and monitoring systems that proactively identify business opportunities and risks

Collaborate with teams to establish KPIs and success metrics that drive business performance

Develop efficient data models and query optimization strategies for fast, reliable reporting

Implement caching and aggregation strategies to ensure optimal dashboard and report performance

Build scalable BI solutions that can handle growing data volumes and user bases

Troubleshoot and resolve performance issues with existing analytics infrastructure

Train business users on BI tools and best practices for data analysis and visualization

Document data sources, metrics definitions, and analytical methodologies for organizational knowledge

Establish quality assurance processes to ensure accuracy and reliability of business intelligence deliverables

Stay current with BI technologies and advocate for new tools and approaches that improve organizational analytics

Qualification

Business intelligence experienceAdvanced BI tool expertiseSQL skillsEnterprise data platform experienceData engineering skillsAdvanced data modelingStatistical analysis experienceData governance expertiseBusiness partnership experienceAnalytics platform knowledge

Required

5+ years of experience in business intelligence, data visualization, or analytics platform development

Advanced BI tool expertise with Tableau, PowerBI, Qlik Sense, or similar including complex calculations, data modeling, and performance optimization

Strong SQL and data modeling skills for creating dimensional models, optimizing queries, and integrating data from multiple sources including cloud platforms

Business partnership experience with proven ability to gather requirements, manage stakeholder expectations, and translate business needs into technical solutions

Enterprise data platform experience working with cloud data warehouses, modern data stacks, and platforms like Databricks for analytics

Preferred

Analytics platform knowledge including experience with Advana / MAVEN Smart Systems (Palantir Foundry) or similar enterprise analytics environments

Strong data engineering skills in Python, PySpark, and Spark SQL with experience implementing medallion architecture and modern data platform patterns

Advanced data modeling expertise with dimensional modeling, OLAP cubes, and modern analytical architectures

Statistical analysis experience conducting more complex analyses including forecasting and trend analysis

Data governance expertise implementing enterprise-wide standards for metrics, definitions, and quality