Revenue Ops Analyst: Deal Desk & Pricing

TekWissen ®; San Francisco (CA); On-site; USD 90,000 - 140,000; Full time

Job summary

TekWissen® Group is seeking a Revenue Operations Analyst to support customer-facing teams in structuring deals within our CRM and ensuring compliance with SaaS revenue models. You will build pricing tools, provide guidance on bookings, and align cross-functional processes across departments.

Responsibilities include interpreting complex agreements, maintaining pricing calculators, and collaborating with Sales, Legal, and Finance to finalize deals in Salesforce and BI systems.

Qualifications

• Read and interpret complex legal agreements.
• Accurately and efficiently complete pricing calculators by contract data.
• Apply logic to interpret complex booking guidelines in contracts.
• Support pricing initiatives and data gathering for customers.
• Guide teams on reflecting Customer Agreements in Salesforce opportunities.

Responsibilities

• Define, document, and maintain sales policies across divisions to align with bookings policy and SaaS revenue model.
• Be a liaison between Accounting/Billing, FP&A, Legal, Sales, and Sales Ops for deal-related matters.
• Implement and enforce processes and tools to ensure data integrity in Salesforce and BI tools.
• Assist with end-of-quarter deals review and finalization.
• Drive adoption of cross-functional processes and best practices.

Skills

Pricing calculations

Deal structuring

Salesforce proficiency

Cross-functional collaboration

Data interpretation

Tools

CRM systems

BI tools

Job description

TekWissen® Group is seeking a Revenue Operations Analyst to support customer-facing teams in structuring deals within our CRM and ensuring compliance with SaaS revenue models. You will build pricing tools, provide guidance on bookings, and align cross-functional processes across departments.

Responsibilities include interpreting complex agreements, maintaining pricing calculators, and collaborating with Sales, Legal, and Finance to finalize deals in Salesforce and BI systems.