Data Analyst
Payoneer Workforce Management (Formerly Skuad)
Join the Data Science Team as a Data Analyst, focusing on reporting, data quality, and analytical support for clients and stakeholders.
Last checked on June 20, 2026. We may earn a commission when you click through.
A solid opportunity for data enthusiasts, though the lack of remote work may deter some candidates. The focus on client delivery is a plus for career growth.
Data Analyst
Payoneer Workforce Management (Formerly Skuad)
Updated 10 days agoYou'll be redirected to in.talent.com
A solid opportunity for data enthusiasts, though the lack of remote work may deter some candidates. The focus on client delivery is a plus for career growth.
About this role
Join the Data Science Team as a Data Analyst, focusing on reporting, data quality, and analytical support for clients and stakeholders.
About the Company
Payoneer Workforce Management (formerly Skuad) specializes in flexible workforce solutions, catering to businesses with diverse staffing needs.
Key Highlights
- ✓ Work with a high-capability team.
- ✓ Manage recurring reporting and data quality.
- ✓ Provide analytical support to top clients.
- ✓ Direct involvement in client delivery model.
💡 Honest Take: This role is enjoy data-driven decision-making and collaborative work environments.
Pros
- ✓ Dynamic work environment
- ✓ Collaboration with skilled professionals
- ✓ Key role in client interactions
- ✓ Focus on data quality and reporting
Cons
- ✗ Not a remote position
- ✗ Potentially limited salary transparency
- ✗ High expectation for analytical skills
Best For: Ideal for early to mid-career data analysts looking to enhance their skills in a supportive team.
Watch Out: Be prepared for a demanding role that requires a strong analytical mindset and attention to detail.
You'll be redirected to in.talent.com
What Customers Say
Feedback from employees highlights a supportive team atmosphere but also notes the demands of the role.
Expert Review
This position on the Data Science Team offers a chance to engage directly with top clients, enhancing both analytical and client management skills. The focus on data quality and recurring reporting is crucial for those looking to sharpen their expertise in data analysis.
While the role promises ample growth opportunities, that it requires a commitment to in-office work, which might not suit everyone. The dynamic team environment can foster professional development, yet the high expectations for analytical support may be challenging for some.
According to the job listing on Payoneer's page, candidates will be expected to manage critical data processes that drive client success. Those seeking flexibility or remote work may find this aspect limiting. Overall, this position is a valuable stepping stone for analysts eager to apply their skills in a client-focused setting.
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