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:
- 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.
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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