Ebay Revenue Operations Analytics Manager 

Australia, New South Wales, Sydney 

675707876

& Engagement team. In this role, you will play a crucial part in developing the overall strategy, the financial modeling behind it, and influencing the team members to follow your driven path.

To succeed, you need to be a big-picture thinker with an analytical approach. You will need the skills to analyze and interpreting diverse data (seller, category, customer) to determine the strategies that will be most accretive to our business. Building and maintaining pricing models, monitoring pricing performance, and providing regular updates to the team and leadership. You will bring your strategies to life and own the customer and financial outcomes.​

You will need to be a tenacious decision maker, able to bring a balanced, ambitious, yet responsible approach to business the ability to communicate complex ideas verbally and in writing, influencing skills and the ability to drive agreement.

You’ll work with tools like SQL to query data, build models and slides to present it, along witha number ofother modern analytics tools.

Responsibilities:

•Lead development of large seller acquisition strategy and influence business teams to align on the offer, refinement, and optimization
•Build and maintain financial models to support special pricing initiatives
•Collect, analyze, and interpret data to provide insights for pricing decisions
•Create and implement strategies that act on pricing performance reports with cross-functional teams across eBay
•Implement pricing strategies within eBay’s pricing system
•Identify and implement opportunities for process optimization and automation
•Partner with regional teams to identify, develop and implement comprehensive strategies for buyer incentives and engagement that align with the company's business objectives.
•Oversee the optimization of regional incentive and engagement strategies by championing global best practices, competitive and customer insights.

•Demonstrated ability with Bachelor/ Masters in Business, Economics, Accounting/ Finance, CompSci, Math, Physics, Engineering or related quantitative field
•CPA, CFA preferred
•Background in strategy consulting, banking, accounting, financial services, or ecommerce
•Experience with financial modeling and pricing analytics in an e-commerce or retail environment
•Ability to code and/or data visualization (e.g., SQL, Python, Tableau)
•Demonstrated conceptual thinking complemented by a strong quantitative orientation

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