RevOps Analyst, Post-Sales (AI & Automation)

About the team/role

As a member of the Revenue Operations team, you'll be the analytical and operational backbone of Checkr's Post-Sales organization, helping our Customer Success and Account Management teams retain and grow our customers. You'll support the reporting, segmentation, forecasting, and process that keep post-sales running, and you'll use AI to automate the manual work and build the self-serve tooling that makes the team faster. Partnering closely with Customer Success, Account Management, and the broader Revenue Operations team, you'll turn data into action and play a direct role in driving Checkr's net revenue retention and expansion.

What you’ll do

• Build and deploy AI-powered automations (Claude, Athean, Lovable) for recurring reporting, account summaries, and analysis, replacing manual work with scalable tooling
• Partner with RevOps Technologies, Customer Marketing, and Account Management to build signal based automation and agentic upsell campaigns, grounded in sales process 
• Maintain data hygiene and process discipline in Salesforce across post-sales objects
• Partner with Sales Ops, Analytics, and RevOps Technologies to integrate data sources and deliver ad hoc analysis that informs the post-sales operating cadence
• Build and maintain book segmentation, capacity models, and account assignments for the Customer Success and Account Management teams
• Develop and run renewal and expansion forecasting, and prepare QBRs and business reviews

What you bring

• 3+ years in revenue operations, sales operations, business operations, or analytics, ideally supporting a post-sales or customer-facing organization
• Strong SQL and spreadsheet modeling skills, plus hands-on experience with a BI tool such as Looker, Tableau, or Omni
• Demonstrated experience using AI tools to automate workflows, build operational tooling, or accelerate analysis
• Hands-on Salesforce experience, including reports, dashboards, and post-sales objects
• Excellent communication and a bias for action: you turn data into clear, actionable recommendations for GTM leaders
• An A-player mindset with a strong bias for action: you raise the bar, move with urgency, stay resilient through ambiguity, and take ownership to deliver meaningful outcomes.