Data Analytics Fellow

Introduction The Office of Information Technology at Duke University is seeking a Data Analytics Fellow to join our team. 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 this role. Minimum Requirements 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). Preferred Qualifications 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. Other Requirements 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. This position is Hybrid. The position allows hybrid work (approximately twice per month) or in-person work at our Durham, NC location, with occasional travel (approximately once per month) to other institutions in North Carolina. Essential Job Duties 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. Why Join Us The Data Analytics Practice within 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. Join us to be part of a dedicated team that actively engages with the research community and promotes the use of advanced computing technologies in research and education. Additional Information Learn more about Duke University's competitive benefits package: HR.Duke.Edu/Benefits Duke is an 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 (including pregnancy and pregnancy related conditions), sexual orientation or military 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. #J-18808-Ljbffr