Analytics Engineer – Student Success

Jobtailor; Logan (UT); On-site; USD 60,000 - 90,000; Full time

Job summary

Jobtailor in Logan, UT seeks an Analytics Data Engineer to design and maintain analytics-ready data models that support student achievement and learning outcomes assessment. You will create curated data layers within the university's medallion data architecture to support reporting and dashboards.

The role focuses on transforming complex institutional data into structured datasets for downstream analytics, ensuring scalable, well-documented transformations and contributing to data governance and

Qualifications

• Bachelor's degree plus one year of related experience.
• Experience working with relational databases and SQL.
• Experience developing data transformations or data pipelines.
• Familiarity with data modeling concepts (e.g., dimensional modeling, star schemas).
• Experience with analytics or reporting tools such as Power BI, Tableau, or similar platforms.
• Strong problem-solving and analytical skills.
• Ability to communicate technical concepts to non-technical stakeholders.

Responsibilities

• Analytics Data Modeling: Design and maintain analytics-ready data models that support student achievement, learning outcomes assessment, and student success initiatives.
• Develop curated data layers within the university’s medallion data architecture to support reporting, dashboards, and predictive analytics (silver and gold layers).
• Transform complex institutional data sources into structured analytical datasets suitable for downstream analytics tools.
• Ensure data transformations are scalable, well-documented, and maintainable.
• Optimize data transformations to support high-performance dashboards and analytics applications.
• Implement dimensional models and semantic layers to support consistent institutional metrics.
• Data Governance and Documentation: Document analytical datasets, transformations, and metric definitions.
• Contribute to institutional data governance processes by helping define and standardize key student success metrics.
• Ensure analytics data models align with institutional definitions and reporting standards.
• Support data quality monitoring and validation processes.
• Collaboration and Institutional Impact: Partner with stakeholders to understand analytics needs.
• Translate institutional questions about student learning and success into scalable analytics solutions.
• Contribute to the development of a modern analytics environment supporting data-informed decision-making across the university.
• Support strategic analytics initiatives led by the Office of Data & Analytics.

Skills

SQL

Data modeling

Data pipelines

Power BI

Tableau

Communication

Problem solving

Education

Bachelor's degree in data science, computer science, information systems, statistics, or related field

Tools

Power BI

Tableau

Job description

Responsibilities

• Analytics Data Modeling Design and maintain analytics-ready data models that support student achievement, learning outcomes assessment, and student success initiatives.
• Develop curated data layers within the university’s medallion data architecture to support reporting, dashboards, and predictive analytics (silver and gold layers).
• Transform complex institutional data sources into structured analytical datasets suitable for downstream analytics tools.
• Ensure data transformations are scalable, well-documented, and maintainable.
• Optimize data transformations to support high-performance dashboards and analytics applications.
• Implement dimensional models and semantic layers to support consistent institutional metrics.
• Data Governance and Documentation Document analytical datasets, transformations, and metric definitions.
• Contribute to institutional data governance processes by helping define and standardize key student success metrics.
• Ensure analytics data models align with institutional definitions and reporting standards.
• Support data quality monitoring and validation processes.
• Collaboration and Institutional Impact Partner with stakeholders to understand analytics needs.
• Translate institutional questions about student learning and success into scalable analytics solutions.
• Contribute to the development of a modern analytics environment supporting data-informed decision-making across the university.
• Support strategic analytics initiatives led by the Office of Data & Analytics.

Requirements

• Bachelor’s degree in data science, computer science, information systems, statistics, or a related field plus one year of related experience.
• Experience working with relational databases and SQL.
• Experience developing data transformations or data pipelines.
• Familiarity with data modeling concepts (e.g., dimensional modeling, star schemas).
• Experience working with analytics or reporting tools such as Power BI, Tableau, or similar platforms.
• Strong problem-solving and analytical skills.
• Ability to communicate technical concepts to non-technical stakeholders.

Core Competencies

Demonstrates expertise in analytics data modeling, including the design and maintenance of analytics-ready data models and data transformations. Proficient in collaborating with stakeholders to develop scalable analytics solutions that support student success initiatives and data-informed decision-making.