Developer Operations Analyst
Listed on 2026-01-24
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IT/Tech
Data Analyst, Data Science Manager, Business Systems/ Tech Analyst, Data Engineer
Discord is used by over 200 million people every month for many different reasons, but there’s one thing that nearly everyone does on our platform:
play video games. Over 90% of our users play games, spending a combined 1.5 billion hours playing thousands of unique titles on Discord each month. Discord plays a uniquely important role in the future of gaming. We are focused on making it easier and more fun for people to talk and hang out before, during, and after playing games.
The Role
Join Discord's Developer Operations team as our second analytics hire. Our team helps game developers understand how building communities on Discord improves their games' success. You'll provide the data-driven insights that prove Discord's impact on game performance, supporting our operations team with analytics for beta launches, SDK integrations, and partnership decisions.
What you’ll be doing :- 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
- Analytics Infrastructure Building: 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.
- End-to-End Analytics Execution:
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. - Analytics Foundation: 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.
- Technical SQL Proficiency:
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. - Gaming or Live Product
Experience:
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)
- Familiarity with gaming SDKs, APIs, or developer platforms
- Background in game analytics or live operations for apps
- ML‑Enhanced Data Aggregation:
Experience using ML models to classify and tag unstructured data (e.g., chat sentiment, topic categorization), then aggregating these enriched labels with SQL datasets to generate behavioral insights and community health metrics
San Francisco Bay Area:
Candidates must reside in or be willing to relocate to the San Francisco Bay Area (Alameda, Contra Costa, Marin, Napa, San Francisco, San Mateo, Santa Clara, Solano, and Sonoma counties). Relocation assistance may be available. This role requires the Hiring Manager to prefer on-site work in the office 3 days a week. US base salary range for this full‑time position is $156,000 - $175,500 + equity + benefits.
Our salary ranges are determined by role and level. Within the range, individual pay is determined by additional factors, including job‑related skills, experience, and relevant education or training. Please note that the compensation…
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