Head of Analytics and Data Science, e Bay Australia

About e Bay

At e Bay, we're more than a global ecommerce leader — we're changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We're committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts. Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work — every day. We're in this together, sustaining the future of our customers, our company, and our planet. Join a team of passionate thinkers, innovators, and dreamers — and help us connect people and build communities to create economic opportunity for all.

About the Role

As Head of Analytics and Data Science for e Bay Australia, you will lead the transformation of how we understand our customers, our business, and our market. This role blends deep local-market analytics leadership with a modern, AI-driven, customer-data-science approach aligned to global strategies. You will lead a high-performing Australian analytics team, driving end-to-end insights across all key customer, commercial and product areas of the business. You will serve as a trusted partner to the Australian Leadership Team - including the MD, CMO and CFO - while also playing an important role connecting AU insights to the International Markets Analytics Director and global Customer Data Science organization. This is a pivotal leadership opportunity for a hands-on, strategic thinker who thrives at the intersection of market-level insight, customer data science, and AI-enabled decision-making.

What You Will Accomplish

1.

Strategic Leadership & Influence:

• Provide consultative, thought leadership to the Australian Leadership Team, shaping data-driven strategies that drive customer and business growth
• Champion data-driven decision-making in Australia, using analytics to inform product, marketing, customer and commercial strategies
• Represent Australia in global forums, contributing market insights to international analytics frameworks, models, and customer understanding initiatives

2.

Customer Insights & Data Science:

• Lead advanced customer analytics programs, including segmentation, personalization, behavioral modelling, churn, lifetime value, and brand & experience diagnostics
• Guide the development of innovative methodologies, including the use of AI/ML, LLMs, and experimentation to deepen customer understanding
• Ensure insights are actionable, clearly framed, and translate to compelling recommendations for senior leaders

3. Growth, Product & Marketplace Analytics

• Lead analytics across key initiatives that drive customer, product and business growth, including program performance, product experience, marketplace health and commercial outcomes
• Partner with business, product and commercial leaders to evaluate performance, quantify impact, identify optimization opportunities and guide prioritization
• Develop and evolve experimentation frameworks - including test/design, incrementality measurement and uplift modelling - to support innovation and continuous improvement across the Australian business

4.

Executive-Level Storytelling & Communication:

• Build compelling narratives and executive-ready presentations explaining the "why" behind customer behavior, program performance, and science-led recommendations
• Regularly brief AU and International senior leaders on customer health, growth opportunities, and market diagnostics

5.

Team Leadership & Capability Building:

• Lead and mentor a diverse team of analysts in Australia as well as leveraging a group of remote analysts in Bangalore
• Foster a culture of curiosity, scientific rigour, fast iteration, and operational excellence
• Optimize resourcing, prioritization, and stakeholder workflows to maximize value delivery

What You Will Bring

Technical & Analytical Expertise

• Deep experience in customer analytics, marketplace analytics, or data science - including segmentation, predictive modelling, attribution, experimentation, and behavioral analysis
• Strong grounding in statistical methods, incrementality testing, and scientific thinking
• Experience evaluating ML models using rigorous metrics and frameworks is highly valued
• Comfort guiding teams through advanced analytical approaches, even if not hands-on day-to-day
• Technical literacy: SQL, statistical tools, Python/R familiarity, data visualization mastery; Excel expertise required

Leadership & Communication

• Proven experience leading high-performing analytics teams and influencing cross-functional peers
• Strong ability to communicate complex concepts in simple, compelling ways to senior and executive audiences
• Demonstrated success working with C-level stakeholders and making data-driven recommendations at pace

Mindset & Ways of Working

• Bias for action and comfort operating in ambiguity - a startup mindset within a global organization
• Proactive, curious, deeply customer-focused, and driven to solve real problems using data

Qualifications

• Bachelor's degree in a quantitative field (statistics, engineering, economics, computer science, data science) or equivalent experience
• Master's degree or MBA preferred
• 12+ years of analytics or data science experience, including 5+ years leading teams

Why Join Us

This role offers the rare opportunity to:

• Lead analytics for one of Australia's most iconic e-commerce brands
• Shape strategy at both a country and international level
• Work with rich, diverse customer and marketplace datasets at massive scale
• Influence high-stakes product, marketing, and commercial decisions
• Build the next generation of analytics and data science capability for e Bay AU

If you thrive at the intersection of business leadership, customer data science, AI and experimentation, and want to make a lasting impact on one of the most exciting markets in global ecommerce, we'd love to meet you.

Equal Opportunity

e Bay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at talent@ebay.com. We will make every effort to respond to your request for accommodation as soon as possible. View our accessibility statement to learn more about e Bay's commitment to ensuring digital accessibility for people with disabilities.