Business Intelligence Analyst 4

About the position

The Business Intelligence Analyst 4 at PayPal will play a crucial role in the Xoom Marketing team, focusing on leveraging data to drive insights and improve marketing strategies. This position involves collaborating with various teams to enhance data infrastructure, optimize marketing performance, and ensure alignment with PayPal's overall data vision. The analyst will be responsible for defining marketing's impact on the Xoom business and will work closely with stakeholders to bridge gaps in data insights, ultimately driving business results.

Responsibilities

• Own day-to-day relationship with Xoom Marketing, providing data-driven insights including business casing, deep dives, modeling, campaign performance readouts, and optimization.
• Drive overall vision & innovation in Xoom Analytics to improve Marketing's ability to access and understand data, leading to powerful insights.
• Deliver accurate, action-driving recommendations to drive business performance and investment optimization.
• Build effective and modular data dashboards for Xoom marketers to leverage for insights.
• Troubleshoot & resolve data breakages within the Marketing Technology stack, acting as a liaison with Marketing, MarTech, and Product.
• Liaise with Paid Media vendors and Paid Marketers on a needs basis.
• Work with cross-functional teams to drive alignment to marketing strategy and build trust with peers and senior leaders.
• Evangelize segment roadmaps and build strong relationships with key stakeholders to prioritize solutions.
• Collaborate with geo-distributed teams of developers and stakeholders across multiple time zones.
• Document actionable EPICs and user stories to promote Agile best practices.

Requirements

• 7+ years of experience in Marketing Analytics role, preferably in a consumer-based business.
• 5+ years experience working with Paid Media stakeholders and vendors.
• 5+ years of product management experience in Digital Marketing execution domain.
• 3+ years of experience in defining OKRs, measuring KPIs, and collaborating with stakeholders.
• MS/PhD Degree in Statistics, Mathematics, Applied Mathematics, Computer Science, Operations Research, Engineering, or Economics preferred.
• Strong foundational knowledge of Paid Media landscape (SEM, Social, Display, CRM, etc.).
• Experience with managing or executing marketing activities in advertising technology platforms such as Google Analytics and DSPs.

Nice-to-haves

• Digital marketing experience is a big plus.
• Experience in Agile methodologies and best practices.

Benefits

• Flexible work environment
• Employee stock options
• Health insurance
• Life insurance
• Dental insurance
• Vision insurance
• Annual performance bonus
• Equity compensation