Analyst, Client Insights
About The Position
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.
Requirements
- 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
- Familiarity with Tableau
- A self-starter mindset: you ask good questions, dig into problems independently, and know when to loop others in
Nice To Haves
- Understanding of consumer brands, ecommerce, and important metrics and benchmarks in the industry is a plus
- Knowledge of Python is a plus — experience using it for data manipulation or automation is a bonus
Responsibilities
- 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
Benefits
- 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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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
