Analyst, Client Insights

About the Role

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.

What You'll Be Doing

• Build clean and efficient data models out of messy and unstructured data; create pipelines that support internal and external reporting
• Develop and own merchant-facing reporting models and data visualizations that communicate performance clearly and compellingly
• Work closely with data engineering and product teams to stay aligned on underlying data changes and surface opportunities for improvement
• Partner cross-functionally with the Risk and Data (RAD) team to help build new fraud analysis and translate that analysis into easy-to-understand reporting; stay current on model and product changes, and translate those changes into merchant-facing insights
• Contribute to building a more scalable, sophisticated reporting pipeline over time

What We're Looking For

• 2–4 years of experience in an analytics, data science, or business intelligence role
• 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
• Understanding of consumer brands, ecommerce, and important metrics and benchmarks in the industry is a plus
• Familiarity with Tableau
• Knowledge of Python is a plus — experience using it for data manipulation or automation is a bonus
• A self-starter mindset: you ask good questions, dig into problems independently, and know when to loop others in