Design, develop, and maintain interactive dashboards, reports, and visual analytics solutions using Microsoft Power BI.

Gather and translate business, operational, programmatic, and stakeholder requirements into actionable analytics and reporting products.

Develop and optimize Power BI data models, semantic models, DAX measures, calculated columns, and performance-tuned reporting solutions.

Design and implement data transformation workflows using Power Query (M) and related extract, transform, and load (ETL/ELT) processes.

Conduct statistical, trend, and quantitative analyses to support program evaluation, operational decision-making, performance measurement, and reporting requirements.

Perform geospatial analysis and geographic visualization using Power BI mapping capabilities, GIS tools, and spatial datasets.

Analyze, profile, validate, and monitor data quality to ensure reporting accuracy, consistency, and reliability.

Collaborate with program leaders, technical teams, data stewards, and client stakeholders to define metrics, KPIs, reporting standards, and analytical approaches.

Support public health, healthcare, government, or mission-focused analytics initiatives through data-driven insights and visualization.

Leverage emerging artificial intelligence and machine learning capabilities to enhance analytics workflows, reporting efficiency, data discovery, and decision support.

Develop technical documentation, data dictionaries, dashboard user guides, and reporting methodologies.

Present findings, recommendations, and analytical insights to technical and non-technical audiences.

Must be able to OBTAIN and MAINTAIN a Federal or DHS "PUBLIC TRUST.

Bachelor's degree.

FIVE (5) or more years of experience in business intelligence, analytics, reporting, data visualization, public health informatics, healthcare analytics, or a related field.

Experience designing, developing, and administering enterprise Power BI solutions.

Experience with:

• Power BI Desktop

• Power BI Service

• DAX optimization and performance tuning

• Power Query (M)

• Data modeling and dimensional design

• Row-level security

• Deployment pipelines

• Data gateway configuration

• Enterprise reporting architecture

Experience leading stakeholder engagement sessions and translating business objectives into scalable analytical solutions.

Experience implementing data governance processes, reporting standards, and data quality frameworks.

Experience mentoring junior analysts and supporting analytical delivery teams.

Experience performing advanced statistical analyses and developing executive-level reporting products.

Master's degree in Public Health, Health Informatics, Data Science, Analytics, Statistics, Computer Science, Information Systems, Geography/GIS, or a related field.

Demonstrated understanding of AI-enabled analytics, generative AI, machine learning concepts, or intelligent automation.

Experience supporting federal health, public health, healthcare, or government programs.

Experience with public health informatics standards, data exchange, surveillance, epidemiology, or population health analytics.

Experience with GIS and geospatial analytics tools such as ArcGIS, ArcGIS Online, or QGIS.

Experience with Python, R, SAS, SPSS, or other analytical/statistical programming tools.

Experience with cloud-based data and analytics platforms including: Databricks, Snowflake, Palantir Foundry, Azure Data Factory, Azure Synapse Analytics, Microsoft Fabric

Familiarity or experience with Power Platform technologies including: Power Apps, Power Automate, Power Pages, Power Virtual Agents

Familiarity with data integration, API connectivity, and enterprise data architectures.

Knowledge of responsible AI, AI governance, AI literacy, or AI implementation practices.

Microsoft certifications such as: Power BI Data Analyst Associate, Fabric Analytics Engineer Associate, Azure Data Engineer Associate

Experience supporting Agile project delivery environments.