
Senior Sales Operations Specialist
12 hours ago
About the job
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 worlds underserved businesses to a rising global economy.
Were 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 workflowsincluding everything from global payments and compliance to multi-currency and workforce management, to providing working capital and business intelligencewe give businesses the tools they need to work efficiently worldwide and grow with confidence.
Sales Operations Specialist
Location: Gurgaon
Experience: 2-5 years
About The Role
We are looking for a highly analytical and detail-oriented Sales Operations Specialist to join our team.
This role is ideal for a candidate with an engineering background, strong problem-solving skills, and experience in sales processes, data analysis, and automation.
You will work closely with cross-functional teams to analyze business processes, optimize sales workflows, and drive data-driven decision-making.
Key Responsibilities
- Analyze large, complex datasets to generate actionable sales and business operations insights.
- Assess current business processes, identify gaps, and recommend improvements.
- Automate workflows and integrate tools using APIs and automation platforms like Zapier.
- Collaborate with sales, marketing, and operations teams to enhance efficiency and effectiveness.
- Data Enrichment and Lead Gen for outbound outreach
Mandatory Requirements
- 2-5 years of experience in a data-driven analytical role.
- Engineering background (Computer Science, IT, or related fields preferred).
- Hands-on experience with Salesforce 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
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