Senior Business Intelligence Analyst

Agile Defense•Omaha, NE

About The Position

At Agile Defense we know that action defines the outcome and new challenges require new solutions. That’s why we always look to the future and embrace change with an unmovable spirit and the courage to build for what comes next. Our vision is to bring adaptive innovation to support our nation's most important missions through the seamless integration of advanced technologies, elite minds, and unparalleled agility—leveraging a foundation of speed, flexibility, and ingenuity to strengthen and protect our nation’s vital interests. We are currently looking for a Senior Business Intelligence Analyst to support our contract with the DRAID CDAO ADA IR Program. As a Senior Business Intelligence Analyst at Agile Defense, you will be joining a team of professionals that build AI/ML solutions. This role will design and build the analytical infrastructure that surfaces data access across the organization. You'll work closely with business stakeholders, data engineers, and leadership teams to create self-service analytics capabilities that enable teams to find answers, track performance, and drive business outcomes through data.

Requirements

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

Nice To Haves

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

Responsibilities

Build Business-Critical Analytics · 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
Drive Business Intelligence Strategy · 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
Enable Data-Driven Decision Making · 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
Optimize Analytics 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
Foster Analytics Excellence · 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