About this role
[What the role is] Are you a problem-solver who sees stories hidden within data? Join NYP's Organisational Transformation Department (OTD) to shape our institution's future through data and innovation. You will be a key member of our team, transforming raw data into actionable insights to support student success, optimize operations, and build the culture of being innovative and enterprising (I&E).
In this role, your technical expertise will not only build our core data and AI platform but will also inform strategic decisions that can impact on the entire campus community. [What you will be working on]
• Design, develop, and maintain automated data ingestion pipelines and ETL processes. • Take ownership of data quality by cleaning, transforming, and aggregating diverse datasets from multiple sources. • Partner with stakeholders to define business questions and help translate them into actionable insights. • Develop dashboards to support operations and management to make data driven decisions. For example, Learner InsightsHub, Analytics in Education • Conduct deep-dive analysis to support strategic initiatives, such as identifying key drivers for learner success. • Manage data connections and implement strict access control policies, collaborating closely with IT and security teams to maintain robust data governance. • Serve as a champion to improve data literacy across NYP, empowering colleagues to use data to make more informed decisions.
[What we are looking for]
• Relevant qualifications in a quantitative field such as Data Science, Statistics, Computer Science, or equivalent experience. • Experience with data visualization and dashboard development using Power BI. • Demonstrated proficiency in SQL for data querying and manipulation. • Experience with Python for data analysis and automation. • Hands-on experience with ETL processes and data pipeline development. • Familiarity with Power BI, Databricks or similar data lakehouse platforms would be an advantage. • Strong analytical and problem-solving skills, with a meticulous eye for detail. • Good oral and written communications and interpersonal skills, with the ability to work effectively across teams, manage stakeholders, and communicate complex concepts to non-technical stakeholders. • Collaborative mindset, proactive at identifying and resolving data-related issues across multiple teams and departments.
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