Senior Analyst, Client Insights

We're looking for a Senior Analyst to join our Client Insights team and play a key role in how we use data to protect and empower our merchant partners. You'll sit at the intersection of analytics, product, strategy, sales, and merchant success; the models, reporting, and insights created and owned by this individual will have a direct impact on sales and merchant retention. 

Our team is helping build the next-generation of AI-driven post-purchase customer solutions and this role will be instrumental in driving the success of these solutions. This is a high-impact role for someone who's curious, detail-oriented, and excited about turning data into action.

• →Serve as the analytical bridge between Sales and prospective/existing merchants, translating data and analysis into business cases, pricing models, and compelling financial narratives for prospects
• →Partner with Merchant Success to build analyses that demonstrate ROI, justify expansion, and support renewal conversations
• →Interact with merchants and potential merchants to understand reporting needs, designing and delivering dashboards and performance reports
• →Analyze product data and work with the product and engineering teams to drive product improvements and help build the product roadmap
• →Partner cross-functionally with the Risk and Data (RAD) team to help inform new fraud analysis and translate that analysis into easy-to-understand reporting and products; stay current on model and product changes, and translate those changes into merchant-facing insights

• 4-7 years of experience in a business analytics, business intelligence, or TAM role
• Understanding of consumer brands, ecommerce, and important metrics and benchmarks in the industry; ideally you have used data and analysis to drive business decisions at an ecommerce company / consumer brand
• Experience working cross-functionally to drive business and product improvement
• Experience with SQL — you're comfortable querying large datasets, writing clean, efficient code, and understanding optimal data modeling
• Experience with Snowflake
• Familiarity with Tableau
• Understanding of how to use AI to drive process improvement and drive efficiency across the organization
• Strong communication skills — you can explain data clearly to both technical and non-technical audiences
• A self-starter mindset: you ask good questions, dig into problems independently, and know when to loop others in

• Working with a great team from diverse backgrounds in a collaborative and supportive environment.
• Competitive salary based on experience, with full medical and dental & vision benefits.
• Stock in an early-stage startup growing quickly.
• Generous, flexible paid time off policy.
• 401(k) with Financial Guidance from Morgan Stanley.

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