Analytics Engineer: Data Insights & AI Solutions (Hybrid)

Duke University; Durham (NC); Hybrid; USD 90,000 - 130,000; Full time

Job summary

Duke University is seeking an Analytics Engineer within the Data Analytics Practice of the Office of Information Technology (OIT) to transform institutional data into insights, applications, and decision-support tools that advance Duke's academic, research, and operational missions.

You will work across data domains to build analytical products and intuitive data experiences, collaborating with data engineers, AI engineers, researchers, and business partners using modern analytics and

Qualifications

• Bachelor's degree in Mathematics, Computer Science, Data Science, or a quantitative field, or an equivalent combination of education and experience.
• Minimum of two years of professional experience in data analytics, software development, engineering, or a related field.
• Proficiency in SQL and data analysis using Python, R, or a similar analytical programming language.
• Experience exploring, cleaning, transforming, and interpreting complex datasets.
• Experience building dashboards, reports, data visualizations, or interactive analytical applications.
• Experience working with Git and collaborative, version-controlled development practices.
• Understanding of common data formats and architectures, including JSON, CSV, Parquet, relational databases, data lakes, and dimensional modeling concepts.
• Strong written and verbal communication skills with the ability to explain technical and analytical concepts to diverse audiences.
• Demonstrated ability to manage projects independently and work effectively in a collaborative team environment.
• Strong documentation and organizational skills.

Responsibilities

• Collect, analyze, and interpret institutional data to support research, operational decision-making, and strategic initiatives across the university.
• Explore and transform data from multiple sources to improve data quality, understand business logic, and uncover meaningful patterns, trends, and opportunities.
• Apply analytical techniques, statistical methods, and machine learning approaches to answer complex business questions and generate actionable insights.
• Design, build, test, and maintain analytical applications, dashboards, visualizations, and decision-support tools that enhance data accessibility and usability.
• Leverage AI-assisted development tools to accelerate application development while ensuring quality, maintainability, and accuracy.
• Manage projects from discovery through delivery, including requirements gathering, planning, stakeholder engagement, prioritization, testing, and implementation.
• Communicate findings and recommendations to technical and non-technical stakeholders, providing context around assumptions, limitations, and business implications.
• Develop and maintain clear documentation of data sources, analytical methods, business rules, and application functionality.
• Promote best practices that improve the quality, scalability, consistency, and efficiency of analytics work across the Data Analytics Practice.

Skills

SQL

Python

R

Data cleaning

Data visualization

Dashboards

Communication

Project coordination

Data interpretation

Independent project management

Education

Bachelor's degree in Mathematics, Computer Science, Data Science, or related field

Master's degree in Data Science, Computer Science, Analytics, Statistics, Mathematics, or related field

Tools

Git

Job description

Duke University is seeking an Analytics Engineer within the Data Analytics Practice of the Office of Information Technology (OIT) to transform institutional data into insights, applications, and decision-support tools that advance Duke's academic, research, and operational missions.

You will work across data domains to build analytical products and intuitive data experiences, collaborating with data engineers, AI engineers, researchers, and business partners using modern analytics and