Analytics Engineer: Remote Data Architect for Insights

Joyce University; Draper (UT); Hybrid; USD 100,000 - 140,000; Full time

Benefits offered by this job

Self-directed paid time off

12 paid holidays

Medical, dental, and vision insurance

Employer-paid disability coverage

401(k) retirement plan

Professional development opportunities

Continuing education opportunities

Mission-driven environment focused on

Job summary

Joyce University is hiring an Analytics Engineer to build trusted data foundations for reporting, insights, and data-driven decisions across the university. You’ll transform data from multiple sources into analytics-ready datasets, develop models, metrics, and tools, and enable self-service analytics for stakeholders.

You’ll collaborate with university teams to translate reporting needs into scalable data models, semantic layers, and documented metrics, contributing to data governance and

Qualifications

• 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.

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

SQL

Relational data models

Data transformations

Analytical thinking

Communication skills

Education

Bachelor’s degree in a quantitative field or equivalent practical experience

Tools

dbt

Job description

Joyce University is hiring an Analytics Engineer to build trusted data foundations for reporting, insights, and data-driven decisions across the university. You’ll transform data from multiple sources into analytics-ready datasets, develop models, metrics, and tools, and enable self-service analytics for stakeholders.

You’ll collaborate with university teams to translate reporting needs into scalable data models, semantic layers, and documented metrics, contributing to data governance and