Revenue Operations Analyst

DealHub Ltd; San Francisco (CA); On-site; USD 120,000 - 180,000; Full time

Job summary

DealHub Ltd in San Francisco seeks a Revenue Operations professional to own data architecture and revenue workflows across sales, finance, and product. The role drives a streamlined quote-to-cash process and ensures data integrity across critical systems.

You will optimize the CRM data stack, build dashboards for leadership visibility on pipeline health and forecasting, and translate business needs into scalable technical specs for downstream systems in a fast-growing tech environment.

Qualifications

• 3–6 years of experience in Revenue Ops, Sales Ops, or Business Analytics in a high-growth tech company.
• Advanced proficiency in Salesforce administration, CRM management, and SQL for data extraction and analysis.
• Deep understanding of SaaS metrics, revenue models, and the quote-to-cash lifecycle.
• Strong cross-functional communication with a track record translating data into actionable strategies.
• Bachelor's degree in Economics, Business, CS, or related quantitative field.
• Bonus: Certified Salesforce Administrator, CPQ experience, and Python/R scripting skills.

Responsibilities

• Manage and optimize the CRM and revenue tech stack, ensuring seamless integration between Salesforce, Marketo, and billing systems.
• Design, test, and implement quote-to-cash workflows, approval matrices, and commission structures.
• Build and maintain executive dashboards and reports tracking pipeline velocity, win/loss rates, and ARR forecasts.
• Partner with sales leadership to define territories, quotas, and capacity models.
• Audit data hygiene regularly and implement automated validation rules to maintain database integrity.
• Translate complex business requirements into scalable technical specifications for downstream systems.

Skills

Revenue Operations

Sales Operations

Business Analytics

Cross-functional comms

Education

Bachelor's degree in Economics, Business, CS

Tools

Salesforce

SQL

CPQ tools

Python

Job description

About The Role

The role sits at the intersection of sales, finance, and product, owning the data architecture and operational workflows that drive revenue generation.

You will optimize the quote-to-cash pipeline, manage CRM data integrity, and build dashboards that give leadership clear visibility into pipeline health and forecasting.

Key Responsibilities

• Manage and optimize the CRM and revenue tech stack, ensuring seamless integration between Salesforce, Marketo, and billing systems
• Design, test, and implement quote-to-cash workflows, approval matrices, and commission structures
• Build and maintain executive dashboards and reports tracking pipeline velocity, win/loss rates, and ARR forecasts
• Partner with sales leadership to define territories, quotas, and capacity models
• Audit data hygiene regularly and implement automated validation rules to maintain database integrity
• Translate complex business requirements into scalable technical specifications for downstream systems

What We Are Looking For

• 3-6 years of experience in Revenue Operations, Sales Operations, or Business Analytics within a high-growth technology company
• Advanced proficiency in Salesforce administration, CRM management, and SQL for data extraction and analysis
• Deep understanding of SaaS metrics, revenue models, and the quote-to-cash lifecycle
• Strong cross-functional communication skills with a proven track record of translating data insights into actionable strategies
• Bachelor's degree in Economics, Business, Computer Science, or a related quantitative field
• Bonus: Certified Salesforce Administrator, experience with CPQ tools, and advanced Python or R scripting skills