Senior Analyst, Client Insights

About the Role:

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.

What You'll Be Doing:

• Own the Shopper Behavioral Analysis process and assist our sales team in turning segmentation analysis into closed deals
• Own product analytics for the Shopper Operations Platform (SOP); Analyze product data and work with the product and engineering teams to drive product improvements
• 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
• Partner with sales, merchant success and growth teams to deliver data and analysis that helps retain and upsell merchants
• Work closely with data engineering and product teams to align data reporting needs with the internal data model
• Contribute to building a more scalable, sophisticated reporting pipeline over time

What We're Looking For:

• 4-7 years of experience in an analytics, data, or business intelligence role
• Understanding of consumer brands, ecommerce, and important metrics and benchmarks in the industry; you’ve used data and analysis to drive business decisions at an ecommerce company / consumer brand
• Experience working cross-functionally to drive business and product improvement
• 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
• Familiarity with Tableau
• Knowledge of Python is a plus — experience using it for data manipulation or automation is a bonus
• 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

Expected Pay Range: $124,000 - $145,000 per year salaried*

*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.