Variable Reward & Analytics Lead

Melbourne Office (33X)

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Bupa

Bupa is an international healthcare company. Our purpose is helping people live longer, healthier, happier lives and making a better world.

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General information

Name Variable Reward & Analytics Lead Ref # 51605 Date Wednesday, July 23, 2025 Full / Part Time Full Time

Description & Requirements

About the Role

As a Performance & Reward Lead managing the Variable Reward program within the Channel Analytics function, you will lead the efforts to optimise variable reward programs through advanced data analytics. Leveraging your expertise in data modelling, performance analysis and insights generation, you will lead efforts to enhance the effectiveness and efficiency to ensure desired participation of the Variable Reward program across Customer Channels & Growth (CCG) within the Health Insurance business. Collaborating closely with Channel Leadership, whilst liaising with Finance, Reporting, and Engagement & Reward teams, your primary focus will be on utilising data-driven insights to influence strategic decision-making and maximis the business impact from Variable Reward initiatives.

Key Responsibilities

  • Manage the development and implementation of advanced data analytics to optimise Variable Reward programs within CCG. 
  • Manage the collaboration with Finance and Reporting teams to enhance data facilitation and reporting capabilities for performance data, ensuring accuracy and reliability of data required for the Variable Reward program. 
  • Redefine and optimise control and management processes for Variable Reward programs, clarifying responsibilities and ensuring seamless collaboration across teams. 
  • Manage the flawless facilitation of all Variable Reward processes. 
  • Utilise sophisticated data analysis techniques to derive actionable insights from performance-related data, informing the allocation and optimisation of reward to drive desired agent behaviours and business outcomes. 

 

About You

 

  • Advanced degree in a relevant field such as Data Science, Data Analytics, or a related quantitative discipline preferred. 
  • Extensive experience in data analytics, with a proven track record of leveraging data to optimise outcomes and drive business value. 
  • Strong proficiency in data analysis tools and languages such as Python, SAS, or SQL, and data visualisation tools such as PowerBI. 
  • Excellent communication and presentation skills, with the ability to effectively communicate complex technical concepts to non-technical stakeholders. 
  • Strong problem-solving skills and the ability to think strategically to address business challenges. 
  • Experience working in agile environments and familiarity with agile principles and practices. 

 

Why Work with Bupa

When you become a part of the Bupa team, you're joining a company that values innovation, collaboration, and making a positive impact on people's lives. We offer a supportive and dynamic work environment that encourages your professional growth and development.

If you're ready to lead change, drive customer retention, and contribute to Bupa's success, we want to hear from you! Apply now and be a part of our journey towards delivering exceptional customer experiences.

Bupa Asia Pacific 

Bupa is an international healthcare group which has been committed to a purpose of helping people live longer, healthier, happier lives and making a better world for more than 70 years.

Bupa Asia Pacific operates in Australia, New Zealand and Hong Kong, supporting about 6.5 million customers through a broad range of health and care services including health insurance, aged care, dental, medical, optical and hearing services. Employing more than 20,000 people in the region, we believe that we can make a real difference to the lives of customers through our values, purpose and the way that we deliver personalised care.

Location Melbourne Office (33X) Recruiter Luke Sist
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: Agile Data analysis Data Analytics Finance Power BI Python SAS SQL

Perks/benefits: Health care

Region: Asia/Pacific
Country: Australia

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