Senior Data Analytics Engineer

Role Overview

The Senior Data Analytics Engineer is part of the Office of Data & Strategic Analytics (DSA) at Vanderbilt University, utilizing institutionally designated approaches and technologies to ensure successful delivery of high-quality and relevant data solutions to meet consumer needs.

What You Will Do

Designs, develops, tests, implements, and maintains complex data, reporting, and analytics solutions using institutionally supported technologies, including Oracle Transactional Business Intelligence (OTBI), Oracle Analytics Cloud (OAC), Tableau, Power BI, and Snowflake.

Why It Might Be a Fit

The Senior Data Analytics Engineer works in partnership with other team members and the broader DSA Team, providing technical guidance, training, and ongoing knowledge transfer to other team members, and applying data governance principles to promote consistent business definitions, data standards, and reporting practices.

Requirements

• Bachelor’s degree in computer science, business analytics, or related experience
• Experience developing complex data, reporting, and analytics solutions using BI and analytics technologies
• Advanced SQL skills and experience working with relational databases and cloud data platforms
• Experience designing and developing data models to support reporting, analytics, and data products
• Experience gathering and translating business requirements into technical specifications and data solutions
• Experience working with large, complex, and integrated datasets and identifying data quality issues, inconsistencies, and gaps
• Experience using data transformation, analytical, or programming tools such as Python, R, Excel, or similar technologies
• Experience testing and validating data, reporting, analytics, and data warehouse solutions
• Experience applying data governance principles, including data definitions, metadata, documentation, data quality, security, and appropriate use of institutional data
• Demonstrated ability to independently analyze complex problems, evaluate alternative approaches, and exercise sound technical judgment
• Experience providing technical guidance, mentoring, training, or knowledge transfer to other analysts or technical staff
• Experience leading or managing complex, time-sensitive projects with limited supervision
• Experience evaluating or applying emerging technologies, including artificial intelligence, machine learning, or advanced analytics
• Experience working in higher education, particularly within a research-intensive university environment

Benefits

• Opportunities for professional growth and development

Tagged as: Data Analysis