Business Intelligence Engineer

Prometheus Federal Services • Fairfax, VA

5d

About The Position

Prometheus Federal Services (PFS) is a trusted partner of federal health agencies. We are seeking a Business Intelligence (BI) Engineer to support the design, development, and delivery of data-driven solutions that enable informed decision-making across healthcare programs. This role will focus on building and maintaining Power BI dashboards, semantic models, and data pipelines that transform complex healthcare data into actionable insights. The BI Engineer will work closely with data engineers, analysts, and stakeholders to ensure data is accurate, performant, and aligned to business needs. The ideal candidate brings hands-on experience with Power BI, strong foundational data engineering skills, and an interest in working with healthcare data in a federal environment.

Requirements

• Bachelor's degree in Data Science, Statistics, Computer Science, Applied Mathematics, Data Analytics, or related field.
• 3–6 years of experience in data analytics, business intelligence, or data science roles.
• Hands-on experience with Power BI, including report development, data modeling, and DAX.
• Strong proficiency in SQL for data extraction, transformation, and analysis.
• Experience with Power Query (M) and data transformation workflows.
• Proficiency in Python or R for data analysis and modeling (e.g., pandas, scikit-learn, statsmodels, or similar).
• Strong understanding of statistical methods, including regression, hypothesis testing, and time-series analysis.
• Experience with machine learning techniques such as classification, clustering, and forecasting.
• Familiarity with feature engineering, model evaluation metrics, and validation techniques.
• Foundational understanding of data engineering concepts, including ETL/ELT processes, data pipelines, and data modeling (e.g., star schema).
• Experience working with structured and semi-structured data from multiple sources.
• Strong problem-solving skills and attention to detail, with the ability to work independently and as part of a team.
• Excellent communication skills, including the ability to explain analytical methods and insights to non-technical stakeholders.
• Authorized to work in the U.S. indefinitely without sponsorship
• Ability to obtain a public trust

Nice To Haves

• Master's degree in Data Science, Statistics, Computer Science, Applied Mathematics, Data Analytics, or related field.
• Familiarity with healthcare data, health informatics, or clinical/operational analytics is a plus.
• Experience with cloud-based analytics tools (e.g., Azure Data Factory, Databricks, Synapse, or similar) is a plus.
• Preferred experience supporting federal agencies, particularly within healthcare (e.g., VA, VHA, or similar environments).

Responsibilities

• Develop, publish, and maintain Power BI reports, dashboards, and semantic models to support operational and executive decision-making.
• Write and optimize DAX measures and calculations to support business logic and advanced analytical use cases.
• Embed analytical outputs into dashboards and workflows to support real-time or near-real-time decision-making.
• Assist in performance tuning of reports and datasets, including query optimization and refresh strategies.
• Support governance and best practices related to Power BI deployment, versioning, and workspace management.
• Design and optimize data models (star schema, relationships, measures) to ensure performance, scalability, and usability.
• Build and maintain data pipelines and transformations using SQL, Power Query (M), and other ETL/ELT tools.
• Collaborate with data engineers and architects to integrate data from multiple sources, including databases, APIs, and enterprise data platforms.
• Perform exploratory data analysis (EDA) to identify trends, patterns, anomalies, and key drivers within complex datasets.
• Apply feature engineering and data preparation techniques to support analytical modeling and improve model performance.
• Develop and implement statistical models and lightweight machine learning approaches (e.g., regression, classification, clustering, time-series forecasting) to generate predictive and prescriptive insights.
• Develop and support AI/ML-enabled analytical solutions, including predictive models, anomaly detection, and pattern recognition, to enhance operational insight and decision support.
• Apply AI-assisted methods where appropriate to improve forecasting, trend detection, and identification of emerging risks or opportunities in complex datasets.
• Support model validation, evaluation, and monitoring, ensuring analytical outputs are accurate, explainable, and actionable.
• Continuously identify opportunities to move from descriptive reporting to predictive and prescriptive analytics.
• Translate business problems into analytical frameworks, select appropriate methodologies, and clearly communicate assumptions and limitations.
• Contribute to documentation of data models, pipelines, analytical methods, and reporting standards.

Benefits

• PFS offers a benefits package that may include health, dental, and vision coverage; flexible spending accounts; disability and life insurance; retirement plan; paid time off; and other programs to support employees and their families.
• PFS benefits, compensation, and bonuses are determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract and organizational requirements.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 11-50 employees