Hybrid Analytics Engineer: AI-Driven Data Insights

Talentify; Durham (NC); Hybrid; USD 90,000 - 150,000; Full time

Job summary

Duke University’s Data Analytics Practice seeks an Analytics Engineer to transform institutional data into insights, applications, and decision-support tools for academic, research, and operational missions.

You will collaborate with data engineers, AI engineers, researchers, and business partners to prototype and deliver impactful solutions using modern analytics and AI-assisted development tools. A strong communicator with a problem-solving mindset is essential.

Qualifications

• Bachelor's degree in Mathematics, Computer Science, Data Science, or a quantitative field, or equivalent experience.
• Minimum of two years of professional experience in data analytics, software development, engineering, or related field.
• Proficiency in SQL and data analysis using Python, R, or similar 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 data formats and architectures (JSON, CSV, Parquet, relational databases, data lakes, dimensional modeling).
• Strong written and verbal communication skills to explain technical concepts to diverse audiences.
• Ability to manage projects independently and work well in a team.
• Strong documentation and organizational skills.

Responsibilities

• Collect, analyze, and interpret institutional data to support research, operational decision-making, and strategic initiatives.
• Explore and transform data from multiple sources to improve data quality and understand business logic.
• Apply analytical techniques, statistical methods, and machine learning approaches to answer questions.
• Design, build, test, and maintain analytical applications, dashboards, and decision-support tools.
• Leverage AI-assisted development tools to accelerate application development with quality and maintainability.
• Manage projects from discovery through delivery, including requirements and stakeholder engagement.
• Communicate findings with both technical and non-technical audiences, including assumptions and implications.
• Document data sources, methods, and application functionality clearly.
• Promote best practices for scalable analytics across the Data Analytics Practice.

Skills

SQL

Python/R

Data analysis

Dashboards

Version control

Data modeling

Communication

Project management

Documentation

Education

Bachelor's degree

Master's degree

Tools

Git

Job description

Duke University’s Data Analytics Practice seeks an Analytics Engineer to transform institutional data into insights, applications, and decision-support tools for academic, research, and operational missions.

You will collaborate with data engineers, AI engineers, researchers, and business partners to prototype and deliver impactful solutions using modern analytics and AI-assisted development tools. A strong communicator with a problem-solving mindset is essential.