Build and maintain clean data models and pipelines from messy data, develop merchant-facing reporting and visualizations, partner with data engineering, product, and Risk & Data teams to surface fraud insights, and contribute to a scalable reporting pipeline that supports sales and merchant retention.
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.
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
- 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
Expected Pay Range: $111,000 - $129,000 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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