Business Intelligence (BI) Engineer

Description

We are looking for an experienced Business Intelligence Engineer to lead and elevate our enterprise analytics environment in Reston, Virginia. This role is ideal for a hands-on technical expert who can shape data strategy, deliver trusted reporting, and partner with senior stakeholders to turn complex information into clear business direction. You will influence how analytics are governed, prioritized, and scaled while helping expand the use of AI-driven solutions across reporting and decision support.

Responsibilities

Lead the design, development, and ongoing optimization of the organization's analytics ecosystem across cloud data platforms, reporting solutions, and integrated data services. Build and maintain reliable data pipelines, structured data models, and system integrations that support accurate, scalable, and timely business intelligence delivery. Create and enhance Power BI dashboards and semantic models, with attention to usability, performance, security, and content governance.

Partner with executive, finance, operations, and clinical leadership to define meaningful KPIs, refine business questions, and translate analytical needs into actionable solutions. Establish practical standards for data governance, documentation, prioritization, and delivery to ensure analytics work is consistent, transparent, and sustainable. Design and implement AI-enabled analytics tools such as natural-language query experiences, retrieval-based applications, or agent-driven workflows that improve access to insights.

Evaluate AI solutions for safety, reliability, accuracy, and cost efficiency, and apply appropriate controls to support responsible adoption. Serve as the senior technical owner for analytics initiatives, working independently while coordinating with contractors or external partners when specialized support is needed.

Requirements

Bachelor's degree in business, information systems, computer science, statistics, data science, or another quantitative discipline; a master's degree is preferred, or equivalent practical experience may be considered. At least six years of experience in analytics, business intelligence, or data engineering, including two or more years functioning as the primary senior analytics resource or technical lead. Advanced SQL and Python skills, with proven experience developing production solutions on a cloud-based data platform; experience with Azure SQL and Azure Data Factory is strongly preferred.

Demonstrated ability to develop data pipelines, dimensional models, and SQL-driven integrations in support of enterprise reporting and analytics needs. Strong background delivering business intelligence solutions, preferably with Power BI, including data modeling, performance optimization, and workspace governance. Hands-on experience building AI or agentic analytics solutions, with the ability to explain architecture decisions, guardrails, evaluation methods, output quality controls, and cost management.

Experience collaborating with business and executive stakeholders to define KPIs, support data governance practices, and communicate technical concepts clearly to non-technical audiences. Familiarity with healthcare data privacy practices, or the ability to quickly learn and apply relevant standards in a regulated environment.

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