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Über
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.
Sprachkenntnisse
- English
Hinweis für Nutzer
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