Data Analyst
Payoneer Workforce Management (Formerly Skuad)
Join Payoneer's Data Science Team as a Data Analyst, focusing on reporting, data quality, and analytical support for top clients and stakeholders.
Last checked on June 25, 2026. We may earn a commission when you click through.
The role is ideal for data enthusiasts looking to impact client success through analytics, but it may be less appealing for those seeking a more varied workload.
Data Analyst
Payoneer Workforce Management (Formerly Skuad)
Updated 6 days agoYou'll be redirected to in.talent.com
The role is ideal for data enthusiasts looking to impact client success through analytics, but it may be less appealing for those seeking a more varied workload.
About this role
Join Payoneer's Data Science Team as a Data Analyst, focusing on reporting, data quality, and analytical support for top clients and stakeholders.
About the Company
Payoneer Workforce Management (Formerly Skuad) specializes in providing workforce solutions through data-driven insights.
Key Highlights
- ✓ Key role in client delivery model
- ✓ Focus on recurring reporting and data quality
- ✓ Collaborative environment with a high-capability team
💡 Honest Take: This position offers a solid opportunity for those experienced in data analysis, yet it requires a strong commitment to ongoing reporting tasks.
Pros
- ✓ Focused on client success
- ✓ Work with a capable team
- ✓ Opportunity for skill development
Cons
- ✗ Limited remote work options
- ✗ Potentially repetitive tasks
- ✗ No disclosed salary information
Best For: This position is geared towards individuals with a passion for data and client service, especially in a collaborative setting.
Watch Out: Candidates should be prepared for the demands of regular reporting and potential monotony in tasks.
You'll be redirected to in.talent.com
What Customers Say
Feedback from employees highlights a supportive team culture, though some mention concerns regarding task repetition.
Expert Review
This role at Payoneer offers a unique chance to engage deeply with data analytics. You will be responsible for maintaining data quality and delivering crucial reports, which is fundamental for client satisfaction. The focus on teamwork suggests a supportive environment, which can be beneficial for professional growth.
However, the lack of remote work options may limit flexibility for some applicants. It's important to consider that the role may become repetitive, especially for those who prefer varied tasks in their daily work. Without clear salary information, potential candidates may need to inquire further to assess financial viability.
If you're someone who enjoys diving into data and finding insights that drive client success, this position could be a great fit. Always check their official page for the latest updates and additional details about the role.
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