Senior Data Analyst (Sales & RevOps)

You will be a key partner to the RevOps and Sales organization, helping leaders and reps make sharper, faster decisions across the full revenue funnel. You will tackle complex and ambiguous questions, helping to quantify pipeline health, forecast performance, and build the business case for go-to-market initiatives.

What you'll do

• Develop quantitative analysis to drive sales strategy, forecasting, and pipeline decisions.
• In collaboration with sales leadership, identify growth opportunities, bottlenecks, and risks across the funnel.
• Collaborate with Sales, RevOps, and Finance leads to develop a comprehensive understanding of the end-to-end revenue cycle.
• Design and implement data models, dashboards, and KPIs to guide territory planning, quota setting, and team performance.
• Contribute to a learning and experimentation culture by promoting hypothesis-driven testing of sales plays, incentives, and processes.
• Answer the big questions to push our understanding of what drives sales performance and customer conversion.
• Contribute to the strategic thinking of the team by being a thought partner to Sales and Revenue leadership.

What you'll need

• 5+ years of relevant experience interpreting data in an analytics, sales operations, or data science role.
• Excellent stakeholder management & communication skills, including presenting to senior sales leadership.
• Strong knowledge of SQL and Python.
• Strong experience with sales funnel, pipeline, and forecasting analysis, ideally in Salesforce.
• Strong statistical background and proficiency with advanced methods (e.g. cohort analysis, forecasting models, causal inference, or quasi-experimentation).
• Ability to understand rep and customer behavior and the meaning behind the numbers, translating them into actionable insights.

Nice to have

• Experience working with CRM systems (e.g. Salesforce) and processing large-scale sales/event data.
• Familiarity with sales forecasting models or compensation/incentive design.
• Experience with data visualization and reporting tools (e.g. Looker, Tableau, Jupyter Notebooks).
• Experience with revenue attribution and financial modeling.

What they offer

• Annual personal growth budget and mentorship programs for continuous learning and development
• Work from anywhere in the world for 30 days per year
• Hybrid working approach with three days in-office collaboration and two days optional at-home focus time
• Monthly transportation and fitness budget
• Health and wellness benefits