Ebay1 follower9 jobs

Head of Analytics & Data Science

SeniorFull-timeHybridSydney NSW, AustraliaDataInformation technologyProduct managementPosted 4 weeks ago
Pending fitX of Y criteria met

About the job

The Head of Analytics and Data Science at eBay Australia is a pivotal leadership opportunity that focuses on transforming how the company understands its customers, business, and market. This role is essential for driving end-to-end insights across key customer, commercial, and product areas, while also serving as a trusted partner to the Australian Leadership Team. The team thrives on collaboration, innovation, and a commitment to data-driven decision-making, making a significant impact on the future of e-commerce.

Meet the team

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Think you're a good fit?See what the hiring team are looking for

You'll be responsible for

🚀

Leading analytics initiatives

Driving analytics across key initiatives that enhance customer, product, and business growth.
📖

Building narratives

Creating compelling narratives and presentations to explain customer behavior and program performance.
🌟

Mentoring team members

Leading and mentoring a diverse team of analysts to foster a culture of curiosity and operational excellence.

Key criteria

📊

12+ years in analytics or data science

Extensive experience driving data-driven strategies and insights.

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👥

5+ years leading analytics teams

Proven leadership in guiding high-performing teams to success.

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📈

Expertise in customer analytics

Deep knowledge in segmentation, predictive modeling, and behavioral analysis.

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View more

View your fit

5 criteria for this job
12+ years in analytics or data science
Extensive experience driving data-driven strategies and insights.

View

5+ years leading analytics teams
Proven leadership in guiding high-performing teams to success.

View

Expertise in customer analytics
Deep knowledge in segmentation, predictive modeling, and behavioral analysis.

View

Strong communication skills
Ability to convey complex data insights to senior leaders.

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Proficiency in statistical tools
Technical literacy in SQL, Python/R, and data visualization.

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A meaningful career starts with a match

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