Data Analyst

This position is not about analyzing a single feature. You will oversee the entire core product experience at DOR, structurally understand why users create, share, react, and return, and help the product team make better decisions.

• Analyze core user behavior data across DOR's features including auto-recording, clip creation, editing, sharing, feed, profile, reactions, and notifications.
• Structurally identify where users drop off, why they don't repeatedly use the product, and what drives sharing and return visits.
• Define core KPIs for Creator / Community and manage them in a continuously measurable format.
• Design experiments with the product team and analyze which changes created truly meaningful improvements.
• Derive insights needed for product prioritization by examining both VOC and quantitative data.
• Help the team make faster decisions and take action through dashboards, analysis documents, and reports.
• Participate in event design, data quality verification, and analytics environment improvements.

• New Daily Acquisition User
• Daily Retention / D7 / D30 Retention
• Community engagement

The core goal is to make more users come more often, react more, and connect more strongly.

• DOR builds products that customers want, not products the CEO wants.
• We repeat problem definition, hypothesis, execution, measurement, and learning in short 1-2 week iterations.
• Data analysts are not here to organize results -- they define problems and sharpen decision-making.
• We make decisions based on data and user feedback, not gut feeling.
• We analyze fast, share fast, and connect to the next action fast.
• We ask the most important questions needed to build a product users will love.

We don't expect experience with every stack. However, we expect you to learn and pick things up quickly.

• SQL
• BigQuery or data warehouse
• Product Analytics Tool
• Dashboarding / BI Tool
• A/B Test Analysis
• Mixpanel

• Experience analyzing data for a service with real users
• Ability to extract and analyze data directly using SQL
• Experience analyzing one or more services and contributing to product improvement based on findings
• Ability to define problems by examining both quantitative data and VOC
• Basic understanding of funnel, retention, conversion rate, and segment analysis
• Desire to solve real product and business problems, not just report
• Ability to collaborate across disciplines and clearly communicate analysis results

• Able to work in San Francisco, CA / United States
• Experience analyzing video services, social media, or UGC services
• Experience analyzing creation funnels, upload funnels, editing funnels, or sharing funnels
• Experience analyzing community features such as feeds, notifications, comments, likes, and follows
• Experience solving growth-related problems including retention, activation, and new users
• Experience with A/B test design and result interpretation
• Experience with event design, data schema design, and analytics environment improvement
• Experience building and operating BI dashboards
• A gamer or someone with deep understanding of gamer behavior
• Strong interest in why people create content, share it, react to it, and come back

• Someone who solves problems, not just organizes numbers
• Someone who seeks to understand the user behavior and context behind the data
• Someone interested in connecting analysis results to actual product changes
• Someone who prefers an environment of quickly forming questions, validating, and adjusting direction
• Someone interested in viewing creation behavior and community behavior as a single flow
• Someone who wants to help build a product that helps gamers worldwide create content more easily and connect more strongly

• Tell us what products you've analyzed, what problems you discovered, and how you solved them.
• Describe specifically how your data analysis influenced product or business decisions.
• Share what insights you generated from funnel, retention, or experiment analysis and what results they led to.
• If possible, explain with numerical changes.
• If you have experience with event design, data quality improvement, or dashboard construction, please include it.
• Rather than listing work history and credentials, we'd love to see your problem definition, thought process, actions, learnings, and outcomes.

The entire hiring process is completed within 7 days. During intensive hiring periods, we'll reach out quickly at each stage.