Note: The job is a remote job and is open to candidates in USA. Joyce University is seeking an Analytics Engineer to build a trusted data foundation for reporting, insights, and data-driven decision-making. The role transforms data into reliable analytics-ready datasets and develops data models, metrics, dashboards, and tools that support self-service analytics, institutional reporting, and strategic planning.
Responsibilities
- Design, build, and maintain analytics-ready data models that support reporting, dashboards, and advanced analysis
- Transform raw data from multiple sources into clean, reliable, and well-documented datasets
- Translate business requirements into technical data models, metrics, and KPIs
- Develop and maintain semantic layers, standardized metrics definitions, and documentation
- Optimize data models for performance, scalability, and long-term maintainability
- Contribute to analytics engineering standards, tooling, and data governance practices
- Extract, transform, and load (ETL) data from diverse data sources and systems
- Build and maintain automated pipelines, scripts, and workflows for data ingestion and transformation
- Partner closely with data engineers to define data 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 for stakeholders
- Communicate insights clearly to both technical and non-technical audiences
- Enable self-service analytics by supporting business users with trusted datasets and metrics
- Ensure data quality, consistency, and reliability through testing, validation, and monitoring
- Identify, investigate, and resolve data discrepancies and quality issues
- Implement data quality controls to support accurate and trustworthy analytics
Skills
- 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
- Opportunities to build your skills, pursue professional development, and grow alongside the University
- A collaborative community committed to helping one another succeed
Company Overview