Senior Data Analyst

• 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.

• 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.

• 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: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.

At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact

Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including: medical, prescription, dental, vision, AD&D, and life insurance offerings, short-term disability, and a 401K plan (all benefits are based on eligibility).

This posting is open for thirty (30) days.


Qualified applicants in San Francisco with criminal histories will be considered for employment in accordance with the San Francisco Fair Chance Ordinance.



Qualified applicants in the unincorporated areas of Los Angeles County with criminal histories will be considered for employment in accordance with the Los Angeles County's Fair Chance Ordinance for Employers.



We will consider for employment all qualified Applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance.