Data Analyst - WECJP00030130
Sunnyvale, CA (Onsite)
Long Term
Description:
Title : Senior Data Analyst
What You'll Do
This role is a key member of the Marketplace Partner Payments team, focused on data-driven payment analysis and enhancing the partner settlement experience through automation, risk mitigation, and operational excellence.
As a Senior Data Analyst, you'll play a pivotal role in driving business growth by collaborating cross-functionally across Product, Engineering, Risk, and Operations. If you're a fast learner, a collaborative problem-solver, and passionate about using data to make an impact-this role is for you.
Key Responsibilities
Analyze and optimize the end-to-end chargeback process by identifying root causes, trends, and opportunities for automation and cost reduction.
Develop and maintain dashboards, reports, and analytical models to monitor chargeback performance, seller impact, and financial exposure.
Collaborate cross-functionally with Product, Engineering, Risk, and Operations teams to design data-driven solutions that improve chargeback resolution efficiency and seller experience.
Lead initiatives to enhance chargeback visibility and transparency for sellers, ensuring timely communication and actionable insights.
Utilize advanced analytics and statistical techniques to inform chargeback policies, detect anomalies, and mitigate financial risk.
Support the scaling of chargeback and settlement processes across global marketplaces by providing analytical insights and operational recommendations.
Success Criteria
Strong analytical and problem-solving mindset with a bias for action.
Ownership mentality with a focus on delivering measurable business outcomes.
Deep empathy for partners and a commitment to improving their experience.
Excellent collaboration and communication skills across technical and non-technical teams.
Data-first decision-making approach with a strong storytelling ability.
Trusted partner to cross-functional stakeholders.
Values diverse perspectives and team collaboration.
Results-oriented and self-motivated.
Qualifications
Master's degree in data science, Statistics, Computer Science, Economics, or a related field.
4+ years of industry experience in Payments, Risk, FinTech, or Marketplace Analytics .
Proven ability to lead cross-functional initiatives and influence product and engineering roadmaps.
Advanced proficiency in SQL, with experience working on cloud data platforms (e.g., BigQuery, Redshift, Snowflake).
Strong experience with Python or R for data analysis, modeling, and automation.
Proficiency in data visualization tools (e.g., Looker, Power BI, Tableau) and building self-serve analytics.
Experience with A/B testing, experimentation frameworks, and causal inference techniques.
Familiarity with real-time data systems, fraud detection models, and decisioning platforms is a plus.
Excellent communication skills with the ability to translate complex data into actionable insights.
Equal Opportunity Employer
Walmart, Inc. is an Equal Opportunity Employer By Choice. We believe we are best equipped to help our associates, customers and the communities we serve live better when we really know them. That means understanding, respecting, and valuing unique styles, experiences, identities, ideas and opinions while being welcoming of all people.
Who We Are
Join Walmart and your work could help over 275 million global customers live better every week. Yes, we are the Fortune #1 company. But you'll quickly find were a company who wants you to feel comfortable bringing your whole self to work. A career at Walmart is where the worlds most complex challenges meet a kinder way of life. Our mission spreads far beyond the walls of our stores. Join us and you'll discover why we are a world leader in a culture of belonging, sustainability, and community involvement. From day one, you'll be empowered and equipped to do the best work of your life. careers.walmart.com
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