Senior Data Analyst
Role summary
We are seeking a Senior Data Analyst to elevate the quality of analysis and decision-making within our Go-to-Market team. This role involves partnering closely with the VP of Growth Marketing to enhance marketing attribution systems, analyze customer acquisition funnels, and optimize growth strategies. You will collaborate with various GTM teams on campaigns and experiments, define key marketing metrics, and leverage AI tools to scale analysis. The ideal candidate has 5+ years of analytical experience, including 2+ years in marketing analytics, proficiency in SQL and Python, and a strong understanding of statistical analysis and experimentation.
### Who you are
- 5+ years of experience in a highly analytical role, 2+ years in a marketing analytics or science role, ideally at a SaaS company
- Demonstrated use of AI tools (e.g., Claude, ChatGPT, Cursor) to accelerate analysis, build automations, or improve workflow efficiency
- Strong perspective on the marketing experimentation lifecycle (hypothesis generation, experimental design, implementation, statistical analysis, A/B testing best practices)
- Strong working knowledge of stats (regression, conversation rate modeling, A/B testing, media mix modeling, etc.)
- Proficiency in SQL and Python
- Experience with Hex, Looker, Tableau, or other data visualization tools is preferred
- Familiarity with CRM and Martech tools like Iterable, Hubspot, Eppo and similar is a plus
### What the job involves
- As a Senior Marketing Analyst, you will be responsible for raising the bar on the quality of our analysis and decision making within the Go-to-Market team
- You will partner closely with our VP of Growth Marketing to own and uplevel our marketing attribution systems, deep dive into customer acquisition funnels, and improve the overall efficiency of our growth machine
- You'll report to the VP of Growth Marketing
- Work directly with various GTM teams (e.g. lifecycle, performance marketing, brand & product marketing) to execute high-impact campaigns, experiments and projects
- Identify opportunities for optimization and revenue growth through analysis of our funnel, customer performance data, and experiments
- Own, iterate and improve upon our multi-touch attribution model and channel lift-testing
- Define and analyze marketing metrics and KPIs, such as CAC, LTV and payback period
- Partner with Data Platform and peer Analytics teams to implement best-in-class analytical frameworks and testing structure across our data stack
- Leverage AI tools and automation to scale your analysis and focus on the high-impact work
- Serve as a thought partner to the go-to-market leadership in deciding how to strategically grow our customer base
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