Analytics Engineer
Posted 8hrs ago
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Job Description
Analytics Engineer building trusted data models, pipelines, and dashboards for Joyce University’s healthcare education programs. Supporting institutional reporting, self-service analytics, and data-driven student success.
Responsibilities:
- Design, build, and maintain analytics-ready data models supporting reporting, dashboards, and advanced analysis
- Transform raw data from multiple sources into clean, reliable, well-documented datasets
- Translate business requirements into technical data models, metrics, and KPIs
- Develop and maintain semantic layers, standardized metric definitions, and documentation
- Optimize data models for performance, scalability, and maintainability
- Contribute to analytics engineering standards, tooling, and data governance practices
- Extract, transform, and load data from diverse sources and systems
- Build and maintain automated pipelines, scripts, and data-ingestion workflows
- Partner with data engineers on pipelines, schemas, and best practices
- Perform exploratory data analysis to identify trends, patterns, and anomalies
- Apply statistical, analytical, and modeling techniques to generate actionable insights
- Design and deliver interactive dashboards and reports
- Communicate insights to technical and non-technical audiences
- Enable self-service analytics through trusted datasets and metrics
- Ensure data quality through testing, validation, and monitoring
- Investigate and resolve data discrepancies and quality issues
- Implement data quality controls for accurate and trustworthy analytics
Requirements:
- Bachelor’s degree in a quantitative field or equivalent practical experience
- Strong SQL skills and experience working with relational data models
- Experience with data transformation tools, such as dbt or similar frameworks
- Experience transforming raw data into clean, reliable, and well-documented datasets
- Familiarity with modern data warehouses and ELT/ETL pipelines
- Solid understanding of data modeling, metrics design, and data quality best practices
- Experience translating business requirements into scalable analytical solutions
- Strong analytical thinking, attention to detail, and communication skills
Benefits:
- Self-directed paid time off
- 12 paid holidays
- Medical, dental, and vision insurance
- Employer-paid short-term and long-term disability coverage
- 401(k) retirement plan
- Professional development opportunities
- Continuing education opportunities
- A mission-driven environment focused on healthcare education and student success
- The flexibility to work fully remote or in a hybrid arrangement from the Draper, Utah campus



















