Data Analytics Fellow (Analyst, IT)

Data Analytics Fellow 

Office of Information Technology 

If you are passionate about addressing challenging issues in higher education using data science and educational data mining techniques, we would like to talk to you about a role on the Data Analytics team within Duke University’s Office of Information Technology. 

Position Summary 

Duke has been named as a best place to work by several publications and organizations, including Forbes Magazine, National Center for Transit Research, Chronicle of Higher Education, Computerworld, The Scientist, and the American Association of Retired Persons, among others. The organizations recognizing Duke represent a diverse range of interests, from family-friendly and preventive health to the needs of IT professionals and academic researchers. 

The Data Analytics Practice with Duke’s Office of Information Technology is a new practice that provides Data Visualization, Data Engineering, and Data Science support for the university’s institutional, academic, and research needs. The Analyst position serves as a key member of the Data Analytics team, working across a breadth of projects. 

The Data Analyst will play a pivotal role in serving the academic and research needs of the university using existing and innovative technology and by developing the analytical framework, data architecture, applications and tools for data-driven decision making. This position will build, augment, and maintain data infrastructure, analytic tools, and dashboards. The successful candidate will bring a curiosity and interest in technology to stay abreast of rapidly advancing innovations in the data analytics space, particularly with respect to higher education.  

Fellowship Program Overview 

OIT’s Data Analytics Fellowship Program is an 18-month program that gives recent (2023) masters graduates a unique opportunity to develop and apply data analytics in institutional data to support Duke’s educational and research mission. The fellowship is a project- and team-based learning experience, in a professional setting, where teams work on strategic and operational projects in a variety of research and administrative areas. Fellows will join the Duke Data Analytics Practice as core team members and gain real-world experience contributing on high-impact and innovative data engineering and data analytics projects. 

Fellows will apply advanced data analytics tools, including advanced data management, machine learning, statistics, and big data methodologies. While learning they will be expected to develop and use their critical thinking, creativity, and analytic skills to contribute to cross organizational and interdisciplinary projects. 

Responsibilities 

• Coordinate and participate in various duties involved in collecting, interpreting, documenting, and summarizing descriptive, analytical, and evaluative data in support of research and/or information gathering activities. 
• Gather information and data from various sources on problems that might help better understand the situation. Analyze, study, and interpret the information to find patterns and trends, validate data quality, and disregard irrelevant data. 
• Filter and "clean" data, and review reports, logs, and performance indicators to locate and correct code problems. 
• Apply quantitative methods, such as statistical and machine learning techniques, to identify trends and valuable insights in historical data. 
• Coordinate and monitor the design, development, modification and implementation of data collection and reporting applications. Standardize methods to collect, analyze and manage data to improve data quality and the efficiency of data systems. 
• Design reports including tools, such as statistics, graphs, images, and lists that can help interested parties easily digest and interpret the data. Communicate the results to technical and non-technical stakeholders. Provide interpretation and recommendations to decision makers and others affected by the results, noting trends, anomalies, and significant statistical variances and deviations of complex data sets. 
• Support “warm handoff” of results, ensuring stakeholders understand nuances in analyses and limitations of methodologies. 

Job Requirements 

This is an 18-month program is currently only available for 2023 masters' graduates of Duke University

Education 

Masters in Mathematics, Computer Science, or another quantitative field. 

Knowledge, Skills, and Abilities 

• Passion for turning data into actionable insights to improve the lives of students and researchers 
• Demonstrated curiosity for discovering and learning new tools and technologies 
• Demonstrated technical expertise with data exploration and visualization. 
• Enjoyment working both independently and collaboratively in an agile environment 
• Knowledge of or experience with creation of dashboards or other data visualizations within analytics platforms.  
• Experience with git. 
• Proven expertise with data analysis in at least one development language (Python, R, etc.), and demonstrated fluency in SQL 
• Understanding of different data formatting (JSON, CSV, Parquet) and data storage models (Data Lake, Star Schema) 
• Excellent verbal and written skills. 
• Experience with Spark. 

This is an 18-month program is currently only available for 2023 masters' graduates of Duke University

Job Code: 00002423 ANALYST, IT
Job Level: C


Duke is an Affirmative Action/Equal Opportunity Employer committed to providing employment opportunity without regard to an individual's age, color, disability, gender, gender expression, gender identity, genetic information, national origin, race, religion, sex, sexual orientation, or veteran status.

Duke aspires to create a community built on collaboration, innovation, creativity, and belonging. Our collective success depends on the robust exchange of ideas—an exchange that is best when the rich diversity of our perspectives, backgrounds, and experiences flourishes. To achieve this exchange, it is essential that all members of the community feel secure and welcome, that the contributions of all individuals are respected, and that all voices are heard. All members of our community have a responsibility to uphold these values.

Essential Physical Job Functions: Certain jobs at Duke University and Duke University Health System may include essential job functions that require specific physical and/or mental abilities. Additional information and provision for requests for reasonable accommodation will be provided by each hiring department.

Duke is an Affirmative Action/Equal Opportunity Employer committed to providing employment opportunity without regard to an individual's age, color, disability, gender, gender expression, gender identity, genetic information, national origin, race, religion, sex, sexual orientation, or veteran status.

Duke aspires to create a community built on collaboration, innovation, creativity, and belonging. Our collective success depends on the robust exchange of ideas—an exchange that is best when the rich diversity of our perspectives, backgrounds, and experiences flourishes. To achieve this exchange, it is essential that all members of the community feel secure and welcome, that the contributions of all individuals are respected, and that all voices are heard. All members of our community have a responsibility to uphold these values.

Essential Physical Job Functions: Certain jobs at Duke University and Duke University Health System may include essentialjob functions that require specific physical and/or mental abilities. Additional information and provision for requests for reasonable accommodation will be provided by each hiring department.