Lead the transformation of analytics and data science at eBay Australia, driving insights for customer and business growth through advanced methodologies and team leadership.
At eBay, 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 eBay 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.
As Head of Analytics and Data Science for eBay 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
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.
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
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 eBay 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
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 eBay 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
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eBay 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 [email protected]. We will make every effort to respond to your request for accommodation as soon as possible. View our accessibility statement to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities.
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Top Skills
Data Visualization
Excel
Python
R
SQL
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