CRM Analytics Manager
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Job Location:
Monthly Salary:
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
At eBay were more than a global ecommerce leader were changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. Were 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. Were 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 team
eBays CRM & Loyalty Analytics team transforms customer data into decisions that enhance long-term value. We collaborate across Marketing Product Data Science and Engineering to compose measure and enhance CRM programs for buyers sellers and central initiatives worldwide.
Role overview
As Analytics Manager you will own the strategy and execution of data-driven CRM measurement and optimization. Youll combine rigorous experimentation with machine-learning and AI to personalize experiences improve engagement and retention and increase customer lifetime value (CLV). The portfolio may focus on Buyer Seller or a cross-company initiative.
What youll do
- Achieve tangible results. Establish benchmarks and learning goals; develop structures that link campaign performance to business results CLV retention.
- Advance personalization with ML/AI. Develop or partner on models (propensity churn next-best action send-time/content optimization uplift modeling) and integrate them into CRM decisioning and orchestration.
- Lead experimentation at scale. Build and run A/B and multivariate tests; apply sound statistical methods (power analysis capping sequential testing causal inference) to produce trustworthy results.
- Develop robust analytics. Use SQL/Python for data modeling and reproducible pipelines; compose self-serve datasets and dashboards to accelerate decision-making.
- Optimize channel strategy. Evaluate email push in-app onsite and lifecycle programs; recommend frequency targeting and creative strategies grounded in data.
- Tell the story. Translate complex analysis into clear actionable recommendations for senior collaborators; influence roadmaps and CRM evolution.
- Improve the craft. Guide analysts advocate for guidelines in documentation code review and experimentation hygiene; promote an inclusive growth-focused culture.
- Safeguard data use. Partner with Legal/Privacy to ensure compliance (e.g. GDPR) guardrails and responsible AI practices.
Qualifications
- Hands-on CRM analytics experience delivering impact in a consumer or marketplace context.
- Machine-learning & AI experience applied to CRM/personalization (e.g. propensity churn LTV/CLV modeling recommendation/next-best action uplift).
- Experimentation & statistics expertise including test building sample sizing variance reduction and causal inference.
- SQL and Python proficiency for data wrangling modeling and automation; familiarity with data warehouses and version control.
- Dashboarding & data visualization skills (Tableau preferred) to build clear credible self-serve insights.
- Business sense proven through translating insights into strategies that yield measurable outcomes.
- Communication & collaborator leadership across Marketing Product and Engineering; ability to influence at executive level.
Nice to have
- Experience with marketing tech stacks (contact strategy decisioning/orchestration unified data platforms experimentation platforms) and event-level data.
- Familiarity with Spark/Databricks Airflow or similar for scalable pipelines.
- Knowledge of generative AI applications for CRM content/testing and guardrail development.
- Marketplace or two-sided platform experience.
How youll succeed here
You balance scientific rigor with speed automate the repeatable and obsess over long-term customer value. Youre comfortable shipping MVPs learning fast and setting a higher standard for ethical privacy-aware analytics.
Please see the Talent Privacy Noticefor information regarding how eBay handles your personal data collected when you use the eBay Careers website or apply for a job with eBay.
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 you have a need that requires accommodation please contact us at. We will make every effort to respond to your request for accommodation as soon as possible. View our accessibility statement to learn more about eBays commitment to ensuring digital accessibility for people with disabilities.
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Required Experience:
Manager
Key Skills
- Adobe Analytics
- Data Analytics
- SQL
- Attribution Modeling
- Power BI
- R
- Regression Analysis
- Data Visualization
- Tableau
- Data Mining
- SAS
- Analytics
About Company
Founded in 1995 in San Jose, Calif., eBay (NASDAQ: EBAY) is where the world goes to shop, sell and give. Whether you’re buying new or used, common or luxurious, trendy or rare – if it exists in the world, it’s probably for sale on eBay. Our great value and unique selection help every ... View more
