Data Engineering Manager

Summary

Join our dynamic, fast-growing international team at Keypath Education Australia as a Data Engineering Manager, working closely with leaders across marketing, recruitment, student services and finance to support and implement high-quality, data-driven decisions and technologies that optimize the student experience.

Requirements

• Minimum BA Degree, preferably in a Computer Science, Technology, Mathematics or Statistics related discipline
• 7+ years of data analytics experience with a proven history of launching successful data and analytics initiatives, drawing insights from data, and influencing successful outcomes for customers and business stakeholders
• 5+ years of experience developing and implementing predictive or analytical models, data visualizations, dashboards, data automation and reporting systems
• 5+ years of leading data analytics teams and projects
• Experience using analytical and statistical techniques: hypothesis development, designing tests/experiments, analyzing data, drawing conclusions, and developing actionable recommendations
• Proficient in problem solving, using quantitative and analytical abilities, and capable of learning new technologies quickly
• Experience and knowledge of statistical modeling techniques and hands-on ability to use modern analysis, ML, and AI tools
• Experience providing design and on-going governance of information security and risk standards within engineered technical systems and architectures
• Excellent communication skills effectively translating data and analytics concepts to a business audience
• Ability to plan and manage a team’s vision, critical processes, people and projects simultaneously

Responsibilities

• Use hands-on advanced data modeling and analysis techniques to actively monitor, identify, analyze and discover insights that will guide strategic decisions and uncover business and student experience optimization opportunities
• Regularly analyze data, and the outcome of analytics related projects, interpreting and reporting results to stakeholders in leadership, and functional teams
• Manage the business’s data warehouse, system-to-system integration processes, analysis services models, operational reporting platform, and related technologies
• Define and deliver a data and analytics strategy and roadmap, supporting strategic initiatives by providing analysis services and developing key operational data services – including predictive models, visualizations and dashboards, and automated operational reporting systems
• Recruit, mentor and develop high-performing analytics team members including Data Analysts, Data Engineers and Data Scientists
• Collaborate with other IT teams to ensure proper adherence to and governance of engineering, security, productivity, and privacy standards
• Oversee the implementation and on-going improvement of quality control processes to ensure engineered data and integration services meet quality standards
• Successfully engage in and manage multiple initiatives and projects simultaneously

Benefits

• Opportunity to work in office, hybrid or remotely
• All the necessary equipment for success
• Internet Allowance for remote work
• Paid Mental Health days for your well-being
• Access to LinkedIn Learning
• Learning Labs designed to promote L&D
• Toolkits for Digital Health and Mental Health support
• Employee led programs such as Culture Club, Team Green, Sustainability and more
• Company events and activities run in office and remotely