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Senior Sales Operations Analyst

Payoneer

Gurugram, India (India-Gurgaon) permanent

Posted: March 24, 2026

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Quick Summary

A Senior Sales Operations Analyst is responsible for ensuring seamless execution of sales operations, with a focus on process improvement and efficiency. The ideal candidate will have experience in sales operations and strong analytical skills, with the ability to work effectively in a fast-paced environment. The role requires a strong understanding of sales operations concepts and a passion for process optimization.

Job 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.

About the Role

We are looking for a highly analytical and detail-oriented Sales Operations Analyst to join our team. This role is ideal for a candidate with an engineering background, strong problem-solving skills, and experience in CRM management, sales processes, data analysis, and automation. You will work closely with the RevOps leaders to analyze business processes, optimize sales and CRM workflows, and drive data-driven decision-making.

Location: Gurgaon
Experience: 3-5 years

Key Responsibilities

• Assess current business and CRM processes, identify gaps, and recommend improvements

• Automate workflows and integrate tools using APIs and automation platforms like Zapier

• Own end to end CRM and Techstack management making sure GTM teams run smoothly and Techstack is cost optimized

• Analyze large, complex datasets to generate actionable sales and business operations insights.

• Collaborate with sales, marketing, and operations teams to enhance efficiency and effectiveness of GTM functioning

• Account and lead list creation and Data Enrichment and for outbound outreach

Mandatory Requirements

• 3-5 years of experience in a data-driven analytical role (preferably in RevOps / SalesOps)

• Engineering background (Computer Science, IT, or related fields preferred).

• Hands-on experience with Salesforce CRM and preferred Hubspot CRM

• Proficiency in Microsoft Office Suite (Excel, PowerPoint, etc.)

• Familiarity with Power BI or similar reporting tools

Preferred Skills

• Knowledge of sales and SaaS sales processes.

• Experience with SQL, Python, and Google Apps Script (JavaScript) for data analysis and automation.

• Exposure to data pipelines and API integrations.

• Experience with lead enrichment tools like Zoominfo, Apollo, Clay, etc.

• Familiarity with analytics tools and reporting dashboards.

#LI-PB1

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.

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