Business Intelligence Engineer
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Job Location:
Fairfax, VA - USA
Monthly Salary:
Not Disclosed
Posted on:
4 days ago
Vacancies:
1 Vacancy
Job Summary
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.
Essential Duties and Responsibilities
Power BI Reporting & Semantic Models
- 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.
- Develop publish and maintain Power BI reports dashboards and semantic models to support operational and executive decision-making.
- 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.
- Write and optimize DAX measures and calculations to support business logic and advanced analytical use cases.
- Perform exploratory data analysis (EDA) to identify trends patterns anomalies and key drivers within complex datasets.
- Develop and implement statistical models and lightweight machine learning approaches (e.g. regression classification clustering time-series forecasting) to generate predictive and prescriptive insights.
- Apply feature engineering and data preparation techniques to support analytical modeling and improve model performance.
- Collaborate with data engineers and architects to integrate data from multiple sources including databases APIs and enterprise data platforms.
- Translate business problems into analytical frameworks select appropriate methodologies and clearly communicate assumptions and limitations.
- Support model validation evaluation and monitoring ensuring analytical outputs are accurate explainable and actionable.
- Bachelors degree in Data Science Statistics Computer Science Applied Mathematics Data Analytics or related field.
- 36 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.
- Familiarity with healthcare data health informatics or clinical/operational analytics is a plus.
- 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.
- Experience with cloud-based analytics tools (e.g. Azure Data Factory Databricks Synapse or similar) is a plus.
- Authorized to work in the U.S. indefinitely without sponsorship
- Ability to obtain a public trust
- Masters degree in Data Science Statistics Computer Science Applied Mathematics Data Analytics or related field.
- Preferred experience supporting federal agencies particularly within healthcare (e.g. VA VHA or similar environments).
Compensation & 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. Learn more about PFS Benefits.
PFS benefits compensation and bonuses are determined by various factors including but not limited to location the individuals particular combination of education knowledge skills competencies and experience as well as contract and organizational requirements.
Equal Employment Opportunity
All qualified applicants will receive consideration for employment without regard to race color religion sex parental status national origin age disability genetic information political affiliation military service or other status protected by law.
Accommodations
PFS is committed to providing equal employment opportunities to all applicants. If you require a reasonable accommodation during the application or interview process please contact us at Reasonable accommodations are available to ensure applicants with disabilities have equal access to the hiring process in accordance with the Americans with Disabilities Act (ADA) and applicable laws.
Workplace Health Safety and Compliance
This position may be subject to clientspecific or governmentmandated vaccination health or safety requirements which may change over time.
Texting Privacy Policy and Information:
- Message type: Informational; you will receive text messages regarding your application and potentially regarding interview scheduling.
- No mobile information will be shared with third parties/affiliates for marketing/promotional purposes.
- Message frequency will vary depending on the application process.
- Msg & data rates may apply.
- Opt out at any time by texting stop.
Required Experience:
Manager
Key Skills
About Company
PFS is a verified Service-Disabled Veteran-Owned Small Business founded in 2014. PFS assists Federal clients in planning and implementing healthcare transformation.
