Clio is the global leader in legal AI technology, empowering legal professionals and law firms of every size to work smarter, faster, and more securely. We are transforming the legal experience for all by bettering the lives of legal professionals while increasing access to justice. Summary: We are currently seeking a Senior Analyst of CS Strategy and Analytics to join our Revenue Operations team. This role is available to candidates in our Vancouver, Calgary, or Toronto hub cities, or remotely across Canada (excluding Québec). What your team does: Revenue Operations drives growth by supporting our revenue-generating and revenue-retaining teams. We are working closely with Sales, Customer Success, Finance, Marketing, Channel, Customer Enablement, and Customer Support to provide insights and recommendations, improve the efficiency of the GTM motions, and enable GTM teams to be innovative and self-sufficient. Who you are: As a Senior Analyst of CS Strategy and Analytics, you’ll be part of the team that values excellence and initiative, loves solving complex challenges, and cares about results. Your work will immediately and meaningfully impact key strategic decisions that shape Clio’s growth trajectory. You will initially focus on supporting our Financial Services go-to-market function. Our payments business generates revenue through adoption of our billing and payment capabilities. You will analyze these dynamics to help shape headcount planning, GTM strategy, and performance tracking. You will also contribute analytical and operational support across our broader post-sale GTM teams, including Customer Success, Support, and Implementation. What you’ll work on: Acting as an advisor to the business, supporting the leadership on key strategic initiatives and deliver data-driven insights and recommendations. Analyzing Payments Gross Processing Volume (GPV), revenue performance, and conversion funnels to identify growth drivers, efficiency opportunities, and the impact of GTM motions. Partnering with GTM leaders to evaluate adoption programs and their effect on payment volume and monetization outcomes. Designing and building data models, dashboards, and pipelines to enable scalable analysis of program activities and outcomes. Partnering with data teams to implement analytics in dbt and Databricks, improving data accessibility and depth of insight. Conducting in-depth analysis of complex data sets to extract valuable insights and utilize statistical techniques, data visualization, and advanced analytics to identify patterns, trends, and opportunities to drive operational excellence and inform strategic decisions.
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Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
Number of Employees
251-500 employees