Revenue Operations Analyst

Summary

Join Pacvue as a summer intern to support Revenue Operations by improving Sales Pipeline and Salesforce data models. You will work closely with Sales, Business Systems, and Revenue Operations, focusing on Data & Pipeline hygiene. This role involves auditing and streamlining Opportunity and Account objects, developing a framework to flag at-risk deals, and creating a recovery playbook. The internship is a paid hourly contract role for college students, starting in May and lasting approximately 2 months.

Requirements

• Excel
• Salesforce (CRM) experience
• Understanding of Enterprise Sales Process
• Data Hygiene / Models
• Project Management
• This is an hourly contract role intended for college students as a summer internship
• The role will start in May and pays $20 per hour, 35 hours per week for approximately 2 months

Responsibilities

• Audit and streamline the fields and layout on Opportunity and Account objects to improve usability, data entry, and reporting accuracy
• Inventory all current fields on Opportunity and Account objects
• Identify: Redundant or unused fields. Fields with poor data hygiene or low fill rates. Inconsistent naming or formatting
• Interview stakeholders (Sales, CS, RevOps) to understand what fields are actually useful
• Propose a revised layout optimized for rep workflows
• Work with Salesforce Admins (or equivalent) to mock up new layouts in a sandbox
• Create a clean-up and change management plan
• Define what makes an Opportunity “at risk” (e.g., no activity in X days, stuck in stage, no decision-maker, closing soon with low engagement)
• Build a scoring or flagging system using CRM data
• Analyze historical lost opps to validate red flag criteria
• Create a dashboard or report of current at-risk opps
• Interview sales reps to understand common blockers
• Develop a recovery playbook that maps risks to specific mitigation plays (e.g., exec involvement, value re-articulation, new stakeholder contact)
• Serve Business Systems/Revenue Operations a detailed analysis of data points to keep, remove, enhance
• Create a repeatable process on improving and unblocking pipeline