About OES
OES is a global education services partner, working with universities, employers, and industry bodies to deliver market-leading online learning solutions. Our purpose is to enhance lives through education, and our vision is to be the world's most impactful enabler of education. We are a values-led organisation that empowers our people to make a meaningful impact every day. Through collaboration, innovation, and a student-focused approach, we create engaging learning experiences while supporting our teams to grow, develop, and thrive in a culture that embraces change and continuous improvement.
The Opportunity:
Reporting to the Director Student Retention, you will lead OES's enterprise analytics, business intelligence, forecasting, and data science capabilities, ensuring leaders across the business have access to trusted insights that drive meaningful outcomes. You'll partner closely with executive stakeholders to develop analytics strategies, enhance forecasting capabilities, embed data-driven decision-making, and identify opportunities to leverage advanced analytics, predictive modelling, and AI to improve student success and organisational performance.
Key Responsibilities:
- Develop and execute OES's Analytics & Data Science strategy, aligning analytics initiatives with organisational objectives.
- Partner with executive and operational leaders to identify opportunities where data and insights can improve business performance and student outcomes.
- Lead and evolve OES's business intelligence, reporting and analytics capabilities, ensuring stakeholders have access to trusted, actionable insights.
- Establish and maintain enterprise KPI frameworks, reporting governance and data quality standards.
- Drive the adoption of self-service analytics and data literacy across the organisation.
- Lead forecasting, predictive modelling and scenario-planning activities to support strategic decision-making.
- Develop advanced analytics and data science solutions that deliver measurable business impact.
- Identify and implement opportunities to leverage AI and machine learning to enhance insights, automation and decision intelligence.
- Build, mentor and lead a high-performing Analytics & Data Science team, fostering a culture of innovation, collaboration and continuous improvement.
- Partner closely with technology, product, operations and university stakeholders to deliver scalable analytics solutions.
- Translate complex data into clear, compelling recommendations for senior leaders and executives.
- Monitor industry trends and emerging technologies to ensure OES remains at the forefront of analytics and data-driven decision making.
- Drive continuous improvement of analytics processes, tools and ways of working to increase organisational maturity and capability.
About you:
- You are a commercially minded analytics leader who can seamlessly bridge the gap between technical capability and business impact.
- You'll bring:
- 10+ years' experience leading analytics, business intelligence, insights, or data functions.
- Proven experience influencing senior leaders and driving measurable business outcomes.
- Strong expertise in business intelligence, enterprise reporting, KPI governance, and self-service analytics.
- Experience with statistical analysis, predictive modelling, forecasting, and data science methodologies.
- A track record of building and developing high-performing teams.
- Strong stakeholder engagement, communication, storytelling, and data visualisation skills.
- Relevant tertiary qualifications in Data Science, Statistics, Mathematics, Business, Marketing, or a related discipline.
What’s in it for you?
At OES, we're transforming lives through education. You'll join a high-performing, values-led organisation where your work directly influences business decisions, drives meaningful outcomes, and supports some of the world's leading education providers. If you enjoy working with smart people, solving complex challenges, and making a genuine impact, you'll thrive here. We empower our leaders to think strategically, challenge convention, and deliver meaningful outcomes while building high-performing teams and fostering a culture of continuous improvement.
We offer a flexible hybrid working model, comprehensive wellbeing initiatives, professional development opportunities, paid parental leave, study assistance, income protection insurance, and a range of health and lifestyle benefits designed to support our people both personally and professionally.
If you're passionate about using data, analytics, and AI to drive meaningful outcomes and want to lead the next chapter of OES's analytics journey, we'd love to hear from you. Apply now with your CV and cover letter.
At OES, we are committed to creating an inclusive and diverse environment, where we encourage candidates of any nationality, age, background, disability, and gender identity to apply. If you feel aligned to the role and would like to further explore your suitability, we welcome your application and would love to consider your fit for the role at OES.