Analyst, Client Insights

We're looking for an 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.

• →Build and maintain models to support business cases, operational planning, and strategic decisions
• →Develop and own merchant-facing reporting models and data visualizations that communicate performance clearly and compellingly
• →Partner with sales, merchant success and growth teams to deliver data and analysis that helps retain and upsell merchants
• →Respond to adhoc data requests from internal stakeholders including GSMs and AEs, providing timely and accurate insights
• →Work closely with data engineering and product teams to stay aligned on underlying data changes and surface opportunities for improvement
• →Contribute to building a more scalable, sophisticated reporting pipeline over time

• 3–5 years of experience in an analytics, data, or business intelligence role
• Understanding of consumer brands, ecommerce, and important metrics and benchmarks in the industry
• Strong proficiency in SQL — you're comfortable querying large datasets, writing clean, efficient code, and understanding optimal data modeling
• Experience building and maintaining transformation code in dbt
• Experience with Snowflake
• Experience building models and dashboards in Google Sheets / Excel; able to translate complex data into clear business narratives and actionable insights
• Familiarity with Tableau
• Knowledge of Python is a plus — experience using it for data manipulation or automation is a bonus
• 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

*The target base salary range for this position is listed above. Individual salaries are determined based on a number of factors including, but not limited to, job-related knowledge, skills and experience.

• 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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