Data Analytics Fellow

Duke CareersDurham, NC
Hybrid

About The Position

The Office of Information Technology at Duke University is seeking a Data Analytics Fellow to join their team. This role is for individuals passionate about addressing challenging issues in higher education using data science and educational data mining techniques.

Requirements

  • This 12-month program is available exclusively to 2025 and 2026 graduates from Duke or NCCU.
  • B.S. in Mathematics, Computer Science, or another quantitative field.
  • Proficiency with data analysis in Python or R, and SQL.
  • Experience with creating dashboards or other data visualizations within analytics platforms.
  • Understanding of different data formatting (JSON, CSV, Parquet) and data storage models (Data Lake, Star Schema).
  • Passion for turning data into actionable insights.
  • Curiosity for discovering and learning new tools and technologies.
  • Technical expertise in data exploration and visualization.
  • Ability to work independently and collaboratively in an agile environment.
  • Excellent verbal and written communication skills.

Nice To Haves

  • Familiarity with git.
  • Experience with relational databases.
  • Proficiency with Tableau, Power BI, and other Business Intelligence platforms.
  • Experience with container orchestration (Kubernetes, Open Shift).
  • Experience contributing in an Agile team environment.

Responsibilities

  • Coordinate and participate in collecting, interpreting, documenting, and summarizing data to support research and information gathering activities.
  • Filter and clean data, review reports, logs, and performance indicators to locate and correct code problems.
  • Apply statistical and machine learning techniques to identify trends and insights in historical data.
  • Design reports using tools such as statistics, graphs, images, and lists to help stakeholders easily interpret the data.
  • Communicate results to technical and non-technical stakeholders.
  • Provide interpretation and recommendations to decision-makers, ensuring stakeholders understand nuances in analyses and limitations of methodologies.

Benefits

  • Competitive benefits package
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