Whatnot (W20)
Buy, Sell & Go Live

Senior Data Analyst

Los Angeles
Full-time
1+ years
About Whatnot

Whatnot is a community marketplace where you can buy, sell, go live and geek out with collectors and other like-minded people. Today’s online marketplaces are neither safe nor fun -- they’re full of counterfeits, and you shop by endlessly scrolling through listings. Whatnot verifies every item sold and provides a fun social shopping experience to enjoy with friends and community members.

Whatnot is backed by some of the industry’s best venture capital investors, including Y Combinator, Scribble.vc, Liquid 2 Ventures, Wonder Ventures & Andressan Horowitz

About the role

Skills: Python, R, SQL, Data Analytics

About the Role

As the Senior Data Analyst, you will leverage data analysis and reporting to drive decision making in Product, Operations, Marketing, Partnerships and Finance teams. This role will have exposure to the entire data pipeline process from data instrumentation and collection to executive level insights reporting. You will have the opportunity to work on analytics, data engineering as well as data science projects. The ideal candidate can independently own and drive impactful initiatives forward.

Responsibilities

Create dashboards and reports to effectively disseminate insights across the company Own the analytics instrumentation process and collaborate with stakeholders to ensure accurate implementation and analysis of user data Perform deep dive analyses to understand how users interact with our services and ideate initiatives to improve retention, customer satisfaction, and financial performance Advocate for best practices in a Product Engineering organization from onboarding, release process, and data maturity Maintain data model to ensure consistent reporting of metrics

Requirements

2-4 years of experience in an analytical role, preferably with mobile application focused technology companies in marketplace, mobile gaming, or social media industries SQL, data visualization, and data manipulation expert Experience and/or interest in using Python for analysis, ETL and Airflow Effective and organized data storytelling skills to a diverse audience Demonstrated ability to translate vague requirements into actionable insights and metrics Experience with A/B testing Highly organized with demonstrated attention to detail Knowledge of Collectibles and experience in Marketplace companies is a plus

Technology

Infrastructure: AWS, Kubernetes, Serverless

Databases: Postgres, DynamoDB, ElasticSearch, Redis

Backend: Python (Flask), Node, Elixir

Front-End React, React Native, Swift, Kotlin

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