Success Operations Analyst I

Posted 3 days ago

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About the role

  • Success Operations Analyst improving customer recovery, cross-sell, and AI-enabled call-center workflows. Thumbtack connects homeowners with local home-service businesses.

Responsibilities

  • Own defined Success Operations programs focused initially on customer recovery, cross-sell, contact strategy, unresponsive-customer workflows, and AI-enabled inbound call center operations
  • Set goals, milestones, owners, and success measures; manage program launches and ongoing performance
  • Analyze conversion, retention, revenue, cost to serve, productivity, quality, and customer experience data
  • Validate results, investigate changes, and turn findings into recommendations and next steps
  • Improve operational workflows by identifying failure points, clarifying handoffs, documenting procedures, and implementing changes
  • Test approved AI tools and lightweight automation, verify outputs, measure impact, and coordinate broader system changes with technical partners
  • Coordinate execution across Success, Service, Partnerships, Product, Data Science, Engineering, Finance, Legal, and Marketing
  • Build and maintain reporting, playbooks, metric definitions, and quality controls
  • Contribute to Pro Success, supply and fulfillment, partnerships, experiments, and team-wide planning and reporting as priorities change

Requirements

  • 3–5 years of experience in Success Operations, Customer Success Operations, Marketplace Operations, Business Operations, program management, analytics, consulting, or a related field
  • Track record of independently delivering cross-functional operational work that improved customer outcomes, growth, efficiency, quality, or reliability
  • Strong analytical judgment and experience working with operational data, including defining useful metrics, investigating root causes, and explaining results and limitations
  • Working proficiency with SQL and business intelligence or reporting tools, or equivalent experience independently accessing, combining, and interpreting operational data
  • Experience designing and documenting processes, improving handoffs, and using systems or automation to make work more scalable
  • Practical experience using AI in repeatable work, checking its outputs, and identifying where human judgment or review is needed
  • Clear written and verbal communication, sound prioritization, and ability to move work forward with stakeholders through moderate ambiguity
  • Must be able to work from an eligible listed location
  • Must answer employment visa sponsorship question

Job title

Job type

Full Time

Experience level

Mid levelSenior

Salary

CA$78,200 - CA$101,200 per year

Degree requirement

No Education Requirement

Tech skills

SQL

Location requirements

RemoteCanada

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