Data Analyst - Revenue Ops
Analyzes revenue operations data using SQL, BI tools, and Salesforce to support sales forecasting and business decisions. Requires 5+ years in tech Sales/RevOps, Snowflake experience, and AI workflow integration.
About the job
Requirements
- 5+ years of experience in a data-intensive analyst role at a technology company, specifically within Sales or Revenue Operations.
- Strong SQL skills with the ability to build reliable models and debug complex data issues independently.
- Proven expertise building sophisticated, dynamic models in Excel or Google Sheets for scenario planning and revenue forecasting.
- Direct experience working within a cloud data warehouse like Snowflake.
- Technical proficiency with Salesforce CRM data models, reporting structures, and data hygiene practices.
- Demonstrated experience using modern BI tools (such as Tableau, Looker, or Omni) to build reports and self-serve analytics.
- Experience integrating AI systems like Claude into your analytical workflow to increase speed and accuracy.
Nice to Haves
- Demonstrated ability to use GitHub for version control, documentation, and collaborative codebase creation.
- Demonstrated experience using scripting languages (R/Python) to generate reproducible analytic workflows.
Compensation
- Salary range: $95,000 - $110,000
- Equity stock options
- Flexible vacation, medical, dental, vision and life insurance, 401(k), FSA
Skills
SQL, Snowflake, Salesforce, Tableau, Looker, Google Sheets, Excel, Claude Ai, GitHub, Python, R
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