Analytics Engineer

Job not on LinkedIn

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $138.8k - $161.3k / year

⏰ Full Time

🟢 Junior

🟡 Mid-level

📊 Analytics Engineer

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Extend

WebsiteLinkedInAll Job Openings

201 - 500 employees

🛍️ eCommerce

🔌 API

🤝 B2B

eCommerce • API • B2B

Extend is a company that helps merchants generate revenue and protect their customers through modern product and shipping protection solutions. They offer protection plans from product failure and accidental damage to shipping issues like porch pirates and damaged deliveries. Extend provides a platform that is easy to integrate with eCommerce platforms like Shopify and BigCommerce. This enables merchants to easily offer protection plans and manage claims, with most being resolved in 90 seconds or less. The company focuses on improving profit margins and enhancing the customer experience by offering easy claim filing and turning customers into long-term advocates.

📋 Description

• You build and maintain data pipelines in Snowflake and dbt to support reliable, auditable reconciliation between internal and external systems. • You own and improve the data workflows related to Claim Reimbursement and Contract Sales, ensuring accurate financial tracking and reconciliation with partners. • You work closely with Accounting, Engineering, Operations, and Reporting to align and reconcile internal and external financial data, acting as a connective link between technical and non-technical teams. • You ensure data integrity across systems and support internal and external audits through well-documented, traceable data practices. • You use tools like Thunderclient and Postman to interface with production systems, and help enhance integrations with Service Providers and Merchants to improve the timeliness and accuracy of claim expense reporting and payments. • You identify, investigate, and fix data quality issues, recommending process improvements to reduce errors and manual intervention, and help extend our data quality standards and operational analytics practices.

🎯 Requirements

• 2-4 years of experience as an Analytics Engineer, Data Engineer, or in a similar role focused on operational data systems. • Strong SQL skills and hands-on experience with Snowflake and dbt. • Proficiency with API interaction and tools like Thunderclient or Postman. • Familiarity with reconciliation, financial audit preparation, and cross-system data integrity best practices. • Excellent communication skills and a collaborative approach to working across technical and non-technical teams. • Strong problem-solving mindset and the ability to proactively identify and address data inconsistencies. • Experience in a fast-paced startup or cross-functional environment is a plus. • Bonus: experience working with claims, reimbursements, or financial data operations.

🏖️ Benefits

• 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.