Senior Sales Ops & Data Intelligence Specialist

Snap; New York (NY); On-site; USD 111,000 - 196,000; Full time

Benefits offered by this job

Paid parental leave

Comprehensive medical coverage

Emotional and mental health support

Equity in RSUs

Job summary

Snap Inc. is seeking a Senior Sales Operations Associate to join Team Snap and own initiatives that improve seller efficiency through better tooling, data quality, and scalable processes.

You will partner with Sales, CRM Technology, Product, and Engineering to clarify needs, evaluate tradeoffs, and implement solutions that drive adoption and optimize revenue tooling and workflows. The role emphasizes data quality, governance, and collaboration across multiple teams, with an opportunity to

Qualifications

• 4+ years of experience in Sales Operations, Revenue Operations, or related field.
• Bachelor’s degree in business, marketing, communications, computer science, engineering, or related field, or equivalent practical experience.

Responsibilities

• Define process gaps, tooling needs, and data quality issues and translate into requirements and solutions.
• Improve CRM data quality through cleansing, structuring, and governance.
• Manage third-party tools to support the sales team and adoption.
• Collaborate with cross-functional teams to prioritize, test, and launch tools and workflows.
• Use AI-enabled tools to prototype solutions and accelerate analysis.

Skills

Sales operations

CRM knowledge

Data analysis

SQL

Tableau/Looker

Excel/Google Sheets

Project management

Education

Bachelor’s degree in business/related field

Tools

Salesforce

SQL

Tableau

Looker

Google Sheets

Job description

Snap Inc. is seeking a Senior Sales Operations Associate to join Team Snap and own initiatives that improve seller efficiency through better tooling, data quality, and scalable processes.

You will partner with Sales, CRM Technology, Product, and Engineering to clarify needs, evaluate tradeoffs, and implement solutions that drive adoption and optimize revenue tooling and workflows. The role emphasizes data quality, governance, and collaboration across multiple teams, with an opportunity to