Operations Analyst - Williamsburg, United States - William & Mary

Description

Position Summary

The Operations Analyst will play a pivotal role in harnessing the power of data to drive strategic business decisions and process improvements across the Business Affairs organization. Leveraging AWS cloud services, this individual will develop and deploy ETL pipelines alongside sophisticated ML models. Utilizing open-source Python libraries, including pandas, numpy, matplotlib, and scikit-learn, the Operations Analyst will support the Operational Analytics team in the critical examination and re-engineering of business processes within Business Affairs and across Finance & Administration as applicable. Leveraging data visualization tools like Power BI, the objective is to enhance decision-making and operational efficiency through the championing of automation and machine learning technologies.

In this role, the Operations Analyst will employ advanced analytical techniques to deliver actionable insights that inform the strategic direction and operational tactics of Business Affairs, ultimately contributing to the department's overarching goals to support William & Mary's strategic vision.

The Operations Analyst's responsibilities include, but are not limited to:

Collaborate with stakeholders to understand data requirements and translate these into sophisticated predictive models. Utilize AWS cloud services for the development and deployment of machine learning models that drive enhanced business decisions.

Architect and translate complex data sets into intuitive visualizations and dashboards using tools such as Power BI, ensuring the accessibility of insights to both technical and non-technical stakeholders.

Assist in the analysis, documentation, and redesign of current business processes within Business Affairs, aiming to improve efficiency and decision-making through the application of advanced analytics and machine learning.

Develop and present reports and dashboards that enable stakeholders to make informed decisions based on robust analysis of data trends and facts. Train end-users on the effective utilization of these tools to foster a data-informed culture.

Recommend and support the implementation of re-engineered business processes and system modifications to optimize operational performance.

Advocate for and teach data management and governance best practices across all units, contributing to the overall data literacy and analytical maturity of the organization.