Centralia College is looking to analyze and interpret data related to institutional research, effectiveness, planning, accreditation, program assessment, and compliance. They need to respond to ad-hoc data requests and develop data visualizations to support decision-making.
Requirements
- Applying Python in data mining and social media analytics contexts to address complex analytical challenges;
- Designing, conducting, and evaluating data-driven models to support institutional research initiatives, while retrieving and analyzing data from various databases to inform decision-making and strategic planning;
- Implementing advanced machine learning techniques, such as K-means clustering, to perform in-depth cluster analysis;
- Working with Python programming concepts, including applications such a
- Retrieve and analyze data from a variety of data sources using SQL-based query tools.
- Design and implement a stored procedure in SQL Server Management Studio to extract data from one database and populate it into another, set to run on a daily basis for continuous analysis of data.
- Implement advanced machine learning techniques, such as K-means clustering, to perform in-depth cluster analysis.
Responsibilities
- Develop, implement, analyze and communicate results of quantitative and qualitative research related to institutional research, institutional effectiveness, planning, accreditation, program assessment, and state/federal compliance.
- Respond to ad-hoc data requests from administrators, faculty, staff, and the public and develop and implement analytics and data visualizations in form of tables, charts, or dynamic graphs and dashboards.
- Maintain data security and data integrity.
- Retrieve and analyze data from a variety of data sources using SQL-based query tools.
- Design and implement a stored procedure in SQL Server Management Studio to extract data from one database and populate it into another, set to run on a daily basis for continuous analysis of data.
- Follow established procedures for Personally Identifiable data and FERPA compliance to ensure high levels of data accuracy and consistency.
- Design, conduct, and evaluate experimental operational models, particularly in scenarios where traditional data models are insufficient.
Other
- Employee must reside within normal commuting distance of Centralia College's campus in Centralia, Washington.
- Will accept paid or unpaid internship, research, coursework, or co-op experience gained during academic studies.
- Requires a Master's degree in Operations Research, Data Analytics, Analytics or a closely related field.
- Must have three (3) months of experience as a Graduate Researcher, Teaching Assistant, Graduate Research and Teaching Assistant, or related in data analytics in an academic setting.
- Ensure adherence to ethical guidelines and data privacy laws such as FERPA in all research activities.
