About Extend:
Extend is revolutionizing the post-purchase experience for retailers and their customers by providing merchants with AI-driven solutions that enhance customer satisfaction and drive revenue growth. Our comprehensive platform offers automated customer service handling, seamless returns/exchange management, end-to-end automated fulfillment, and product protection and shipping protection alongside Extend's best-in-class fraud detection. By integrating leading-edge technology with exceptional customer service, Extend empowers businesses to build trust and loyalty among consumers while reducing costs and increasing profits.
Today, Extend works with more than 1,000 leading merchant partners across industries, including fashion/apparel, cosmetics, furniture, jewelry, consumer electronics, auto parts, sports and fitness, and much more. Extend is backed by some of the most prominent technology investors in the industry, and our headquarters is in downtown San Francisco.
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:
- 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
What We're Looking For:
- 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
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.
Life at Extend:
- 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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