Manager, Advanced Analytics

In this role, you’ll support the execution of key initiatives within the eCommerce Analytics team, helping to manage projects, build scalable ways of working, and explore how we embed AI and analytics into decision-making. Working closely with the Senior Manager, Advanced Analytics, you’ll collaborate across business, analytics, and tech teams to help structure work, amplify insights, and build an analytics-first culture.

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You’ll sweep us off our feet if…

· You’re a natural organizer, communicator, and problem solver who thrives in cross-functional environments.

· You know how to drive project execution, manage competing priorities, and deliver results.

· You’re familiar with analytics workflows, AI/ML basics, and agile delivery models.

· You’re passionate about data storytelling, stakeholder engagement, and making complex ideas easy to understand.

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You’ll make an impact by:

· Supporting PMO operations – Help plan and track the progress of key analytics and AI initiatives. Build status updates, timelines, and stakeholder communication plans.

· Driving resource visibility – Assist in mapping analytics resources to initiatives, identifying capacity challenges, and supporting prioritization efforts.

· Enabling AI integration – Work with data science and business partners to identify AI use cases and document business readiness.

· Creating compelling insight narratives – Build presentation materials and dashboards that elevate the visibility and clarity of the analytics team’s work.

· Fostering a data-driven culture – Support communication, team events, onboarding, and playbooks that scale analytics best practices.

Benefits & Perks

Beyond competitive pay, you can receive incentive awards for your performance. Other great perks include 401(k) match, stock purchase plan, paid maternity and parental leave, PTO, multiple health plans, and much more.

Minimum Qualifications…

Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.

Bachelor’s degree in Business, Finance, Accounting, Statistics, or related field and 2 years’ experience in data analytics or related field OR 4 years’
experience in data analytics or related field.