Hybrid Developer Operations Analyst

at Discord

• Job title: Developer Operations Analyst
• Job type: Full Time
• Experience level: Mid level, Senior
• Salary: $156,000 - $175,500 per year
• Degree requirement: Bachelor's Degree
• Tech skills: SQL, Tableau
• Location requirements: Hybrid, San Francisco, United States

About the role

• Developer Operations Analyst at Discord providing data-driven insights to game developers. Building datasets, creating dashboards, and collaborating with cross-functional teams on analytics initiatives.

Responsibilities

• Build net-new analytics datasets by aggregating data across multiple sources, translating business questions into measurable metrics and reusable data models
• Assess Discord SDK impact on games by analyzing how Discord's social features drive player retention, engagement, and monetization
• Own end-to-end analytics from requirements gathering through SQL-based analysis to delivering stakeholder-ready dashboards in Looker and Mode
• Support high-volume ad hoc analytics requests for developer conversations, SDK integrations, and partnership decisions
• Collaborate with product managers, data engineers, and data scientists on strategic analytics initiatives
• Create self-service analytics solutions that enable the DBO team to access insights independently

Requirements

• 3+ years experience defining KPIs and building new data points by aggregating datasets across multiple sources. Must demonstrate ability to translate business questions into measurable metrics and create reusable data models.
• Proven track record taking analytics vision from concept to implementation - including data point creation, SQL-based analysis, and stakeholder-ready visualizations. Should be comfortable owning the full lifecycle from requirements gathering to dashboard delivery.
• 2+ years hands-on experience with live ops analytics (retention, engagement, monetization metrics) for gaming or large-scale live products (social platforms, streaming apps, etc.). Understanding of user lifecycle analytics and ability to connect product features to performance outcomes.
• Strong SQL skills for complex data manipulation including joins, CTEs, window functions, and aggregations. Ability to write efficient, well-documented queries that others can build upon.
• Background in analyzing large-scale live products with millions of daily active users, including games, social platforms, and consumer applications. Experienced in user segmentation, behavioral trend analysis, and engagement measurement at scale.
• Experience with data visualization tools (Looker, Mode, Tableau)

Benefits

• Relocation assistance may be available