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Sales Operations Associate
Snap Inc.Sales Operations Associate at Snap focusing on building impactful dashboards and data pipelines. Collaborating with cross-functional teams to support data-driven decision making.
Posted 6/5/2026full-timeNew York City • California, New York • 🇺🇸 United StatesJuniorMid-Level💰 $102,000 - $161,000 per yearWebsite
Tech Stack
Tools & technologiesAirflowApacheCloudSQLTableau
About the role
Key responsibilities & impact- Build and maintain intuitive, impactful dashboards for sellers, managers, and leadership to support data-driven decision making
- Support the development and maintenance of data pipelines that feed our sales data warehouse
- Partner with Sales Strategy, CRM and other cross-functional teams to support key initiatives through clear, actionable analysis and reporting
- Support adoption of self-serve datasets and dashboards through documentation, stakeholder training, onboarding, and ongoing user support
- Monitor support channels for data warehouse and BI users, helping troubleshoot issues, manage access requests and permissions
Requirements
What you’ll need- 2+ years of experience in Business Intelligence, Analytics, Data Engineering, Data Science, Sales Operations, or a related field, or equivalent experience
- BA/BS in a quantitative field such as Mathematics, Economics, Finance, Business, or equivalent work experience
- Knowledge of SQL and data warehousing principles
- Experience building scalable dashboards, reports, and shared datasets in Tableau, Looker, or similar BI tools
- Proficiency with CRM systems such as Salesforce, especially Salesforce Sales Cloud
- Experience with data pipelines or orchestration tools, such as Apache Airflow or similar platforms
Benefits
Comp & perks- paid parental leave
- comprehensive medical coverage
- emotional and mental health support programs
- compensation packages that let you share in Snap’s long-term success
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
SQLdata warehousingdashboard developmentreport buildingdata pipelinesdata engineeringdata scienceanalyticsSales Operationsquantitative analysis
Soft Skills
data-driven decision makingclear communicationstakeholder traininguser supporttroubleshootingcollaborationdocumentationonboardingproblem-solvingcross-functional teamwork