Mack Xue

Data Analyst @ Employment Hero

About Mack Xue

Mack Xue is a Data Analyst with a diverse background in engineering and finance, currently working at Employment Hero in Sydney. He has held various analytical roles across multiple organizations, including Transport for NSW and the Australian Taxation Office, where he focused on delivering data-driven solutions.

Work at Employment Hero

Mack Xue currently serves as a Data Analyst at Employment Hero, a position he has held since 2024. In this role, he focuses on leveraging data to drive decision-making and enhance business operations. His responsibilities include data modeling, analysis, and visualization, which contribute to optimizing the company's platforms and services.

Previous Experience at Transport for NSW

Prior to his current role, Mack worked as a Senior Data Analyst at Transport for NSW from 2022 to 2024. During his tenure, he utilized his analytical skills to support operational decision-making and improve data-driven solutions within the organization.

Background in Engineering and Finance

Mack Xue has a diverse educational background that includes a Bachelor of Electrical Engineering from UNSW and an MBA in Finance from the University of Technology Sydney. This multidisciplinary foundation enables him to approach data analysis with a unique perspective, combining technical engineering principles with financial insights.

Technical Skills and Projects

Mack has developed strong technical skills in SQL, Alteryx, Python, and Tableau. He conceptualized and prototyped a pandemic trigger model that predicts COVID-19 risks, showcasing his ability to apply data analysis in real-world scenarios. This model was deployed using Azure Function’s timer and HTTP trigger, demonstrating his proficiency in modern data technologies.

Collaboration and Stakeholder Engagement

Mack enjoys collaborating with a variety of stakeholders, including product managers, data scientists, and fellow analysts. His experience in engaging with diverse teams allows him to optimize business value and ensure that data-driven solutions meet organizational needs effectively.

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