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Expect SQL case questions (joins, window functions, slowly changing metrics), a data-modeling exercise, and scenarios on pipeline failures or conflicting KPI definitions. Prepare one portfolio example: source → model → dashboard, with trade-offs you made. Ask name how they govern metrics and which warehouses/BI tools they use.
Strong fit if you enjoy owning trusted datasets and partnering with non-technical U.S. stakeholders. Company-specific signals for name are thin, so validate stack, team size, and on-site expectations early. Thin public data is not a red flag by itself—just a cue to interview carefully.
As a Business Intelligence Developer at name, a typical day centers on turning operational data into trusted reports and models. Morning work often means checking pipeline health, refreshing or troubleshooting dashboards, and aligning with stakeholders on metric definitions. Afternoons may include writing SQL or ETL logic, building semantic models, reviewing data quality, and shipping incremental BI features for U.S. business users. Collaboration with analysts and engineers matters more than flashy tools.
Prioritize SQL, dimensional modeling, and one BI stack (e.g., Power BI, Tableau, or Looker), plus version control and basic Python or scripting for transforms.
The listing marks remote as no and location as United States; confirm city, hybrid days, and travel with the employer.
SQL, dimensional modeling, and a mainstream BI platform; free paths include freeCodeCamp, Saylor CS courses, CS50, and Microsoft Learn (free or free to learn as listed).
Only a domain (nsi.guide) and generic web hits—no verified reviews or salary data here. Use the interview to learn product, stack, and team structure.
Website: nsi.guide
Public cache only — not an employee review.
BUSINESS INTELLIGENCE DEVELOPERCOMPANY: nameLOCATION: United StatesEMPLOYMENT TYPE: Full TimeREMOTE: No The Opportunity Seize your opportunity to make a personal impact supporting the Case Management Modernization (CMM) Program. As part of GDIT, you will contribute to an initiative that supports the Administrative Office of the US Courts (AO) in developing a modern cloud-based solution for all 204+ federal courts across the United States. The Business Intelligence (BI) Developer role is integral to this effort, focusing on delivering advanced reporting, analytics, visualizations, statistical modeling, and AI/ML capabilities that support operational decision-making. Key Responsibilities Design, develop, integrate, and continuously enhance dashboards, reporting tools, predictive analytics, and AI/ML capabilities in alignment with strict federal compliance requirements. Create data-driven decision-support tools and actionable insights for users and stakeholders of the CMM application. Ensure delivery of advanced reporting, analytics, visualizations, statistical modeling, and AI/ML capabilities that provide actionable insights to support operational decision-making. Skills & Qualifications 7+ years of related experience in Business Intelligence Analytics, Data Analytics, and Business Intelligence Tools. Strong skills in analytics, business intelligence tools, data analytics, reporting, and AI/ML capabilities. Working at name At GDIT, you will have the opportunity to make meaningful contributions to challenging projects and grow a rewarding career. Our team is dedicated to supporting the Administrative Office of the US Courts in modernizing case management processes for federal courts across the country. Join us as we work towards fulfilling AO's data and analytics objectives through innovative solutions. Next Steps To apply, complete your application directly on this page, or you'll be redirected to the employer's application platform to finish submitting there.
Generated for personal interview prep · 2026-08-11 UTC · getajob.ai