Data Analytics Engineer

Role Overview

The Data Analytics Engineer designs, develops, and supports integrated data solutions that enable informed decision-making across academic, research, and administrative functions of the university.

What You Will Do

Develops, codes, validates, and implements relational databases and integrated data structures that support analytics, creates and maintains dashboards, reports, and data visualizations, and engages in best practices in data analytics and data engineering.

Why It Might Be a Fit

The ideal candidate will have strong technical expertise in using SQL to query large databases, excellent knowledge of databases, data flows, and data manipulation, and the ability to communicate with a wide range of stakeholders and collaborate effectively in a higher-education or enterprise setting.

Requirements

• Bachelor’s degree in Computer Science, Information Systems, Data Science, or a related field, or equivalent professional experience
• Strong technical expertise in using SQL to query large databases, manipulate and validate data, implement business logic, and analyze data
• Excellent knowledge of databases, data flows, and data manipulation in both operational and analytical contexts
• Proven ability to synthesize complex and/or ambiguous information from multiple sources using a variety of tools and techniques to transform that information into consumable insights
• Ability to communicate with a wide range of stakeholders and collaborate effectively in a higher-education or enterprise setting
• Proven prioritization and organizational skills with the ability to handle multiple projects simultaneously
• Excellent written and verbal communication skills, critical thinking and creative problem-solving, and attention to detail
• Demonstrated ability to maintain a high level of professionalism

Tagged as: Data Analysis, Data Visualization, SQL