Senior Ops Data Analyst at Payoneer

Shanghai, Shanghai, China -

Full Time

Start Date

Immediate

Expiry Date

24 Dec, 25

Salary

0.0

Posted On

25 Sep, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Modeling, SQL, Data Visualization, Project Management, Analytical Thinking, Problem Solving, Multitasking, Collaboration, Root Cause Analysis, Data Quality, Mentorship, Communication, Fintech, Payments, Financial Operations

Industry

Financial Services

Description

About Payoneer Founded in 2005, Payoneer is the global financial platform that removes friction from doing business across borders, with a mission to connect the world’s underserved businesses to a rising global economy. We’re a community with over 2,500 colleagues all over the world, working to serve customers, and partners in over 190 countries and territories. By taking the complexity out of the financial workflows–including everything from global payments and compliance to multi-currency and workforce management, to providing working capital and business intelligence–we give businesses the tools they need to work efficiently worldwide and grow with confidence. Senior Ops Data Analyst Role summary - We are seeking an experienced Senior Data Analyst to join Payoneer Operations for Great China region. This role will focus on driving data-driven decision-making across operational workflows, optimizing processes, improving customer experience and enhancing cross-departmental efficiency. The ideal candidate will combine technical expertise in data modeling and visualization with project management skills to deliver actionable insights and scalable solutions. Location: Shanghai, China On-site Full-time What you’ll do Lead end-to-end data projects, including requirements gathering, data modeling, and deployment of BI solutions. Collaborate with stakeholders from local and global to capture, prioritize and deliver the data analytical requirements and drive measurable results. Own the development of key metrics, dashboards, and data segmentations to monitor and improve operational performance. Analyze key metrics changes and perform root cause analysis to identify the opportunity for continuous improvement. Collaborate with the Data Engineering team to identify and resolve data quality issues, ensuring robust and reliable pipelines. Manage the lifecycle of data projects, including prioritization, timelines, and stakeholder communication. Provide mentorship and contribute to the team’s knowledge-sharing culture. Who you are 5+ years of hands-on experience in data modeling, SQL (BigQuery preferred), and data visualization tools (Power BI preferred). 2+ years of experience managing data projects. Bachelor’s degree and above. Exceptional verbal and written English skills, with the ability to communicate with cross-functional stakeholders in a global, multicultural environment. Motivated self-starter who can learn quickly in a fast-paced environment. Proven track record of advanced analytical thinking, problem-solving, and multitasking in fast-paced settings. Experience in fintech, payments, or financial operations is a strong plus. #LI-DW1 #LI-Onsite The Payoneer Ways of Working Act as our customer’s partner on the inside Learning what they need and creating what will help them go further. Do it. Own it. Being fearlessly accountable in everything we do. Continuously improve Always striving for a higher standard than our last. Build each other up Helping each other grow, as professionals and people. If this sounds like a business, a community, and a mission you want to be part of, apply today. We are committed to providing a diverse and inclusive workplace. Payoneer is an equal opportunity employer, and all qualified applicants will receive consideration for employment no matter your race, color, ancestry, religion, sex, sexual orientation, gender identity, national origin, age, disability status, protected veteran status, or any other characteristic protected by law. If you require reasonable accommodation at any stage of the hiring process, please speak to the recruiter managing the role for any adjustments. Decisions about requests for reasonable accommodation are made on a case-by-case basis.

Responsibilities

Lead end-to-end data projects to drive data-driven decision-making across operational workflows. Collaborate with stakeholders to deliver data analytical requirements and improve operational performance.