The Data Engineering Manager will work 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. They will establish and deliver a data and analytics strategy and roadmap, supporting strategic initiatives by providing analysis services, statistical and predictive models, data visualization and reporting systems.
The Data Engineering Manager will apply their extensive knowledge of information design and data analysis to solving real-world problems with a hands-on approach while building and mentoring a team to meet the demand for data services, business insights, and execution of the strategic analytics roadmap.
Responsibilities will include:
- 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.
Education:
- Minimum BA Degree, preferably in a Computer Science, Technology, Mathematics or Statistics related discipline
Experience:
- 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
Technical Skills:
- Deep knowledge of Microsoft database, data analytics, and related engineering technologies required – such as SQL, TSQL, Azure, Data Factory, Fabric, ML
- Experience with data visualization tools such as Microsoft Power BI, Synapse, Analysis Services, or Fabric – or equivalent (ex. Tableau)
- Experience with Microsoft Azure engineering patterns and resources – including Azure Functions, Logic Apps, Storage Accounts, and Web Apps
- Experience with the Microsoft Power Platform – Power BI, Power Automate, Flows
- Experience with Microsoft Azure security and provisioning tools – Key Vault, Managed Identity, and IAM
- Experience and proficiency programming in Python, Java, or C#
- Experience with predictive analytics platforms, software, languages and libraries such as Azure ML, SAS, Python, or R
Additional Skills:
- Think logically and be able to articulate thoughts in a clear, concise manner.
- Comfortably work both individually and as part of a group.
- Take ownership of assignments and see them through to completion.
- Quickly learn and adapt when dealing with unfamiliar systems and applications.
- Be able to communicate clearly and effectively with Directors and co-workers.
- Meet deadlines and complete work in a timely manner.
- Be willing to go the extra mile to get the job done, including occasional overtime.
- Display exceptional follow-through, personal drive and the desire to make a difference.
- Contribute to and participate in an open environment with a team that likes to have fun at work.
Benefits and Rewards:
- 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
Why Keypath?
- Embrace Your Authentic Self: A supportive culture recognized as a top workplace (Ranked #6 on 2024 the Best Places to Work Australia©).
- Global EdTech Leader: Join an industry on the rise.
- Continuous Growth: Upskill through discounted study opportunities.
- Transform the World: Contribute to upskilling and reskilling globally.
- Make an Impact: Help solve future economic and social challenges.
Join Keypath and make a difference. We welcome applicants from diverse backgrounds and offer inclusive support throughout the recruitment process.
Apply now to unlock your potential with Keypath!
