Data Analyst - Organisational Transformation Dept

[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.