Senior Live Ops Analyst

Responsibilities

• Own the end-to-end BI strategy for one or more release workstreams, including data models, dashboard architecture, metric definitions, and reporting cadence.
• Design and build comprehensive dashboards and semantic layers in Tableau and Looker that give producers and leadership a clear, self-service view of throughput, dependency risk, and milestone health.
• Own the cadence and format of executive-level "health check" presentations on release program status across teams.
• Lead investigations into recurring bottlenecks and dependency failures, and recommend concrete process changes.
• Partner directly with producers and production leadership to shape process improvements using BI as the foundation.
• Identify trends and learnings that apply across multiple release teams, and share them with other analysts.
• Establish and uphold data quality, definition, and tracking standards for production data across the BI function.

Requirements

• 5+ years of experience in business intelligence or analytics, with significant time supporting production, program, or process operations in games, software, or comparable digital product environments.
• Strong SQL expertise (BigQuery, MySQL, or similar) and proficiency in Python for advanced analysis and automation.
• Proven experience building and owning dashboards and data models tracking process or production metrics (Tableau, Looker, or comparable BI tools).
• Track record of advising production or program leadership using data-backed recommendations.
• Strong communication skills, able to translate complex analysis into clear, actionable guidance for non-technical stakeholders, including executives.
• Experience mentoring or supporting the growth of junior analysts.

Preferred

• Experience with additional BI or analytics tooling (Looker, Power BI, Amplitude, or similar).
• Familiarity with data pipeline, ETL, or dbt-style transformation tooling and data warehouse design.
• Experience in educational technology or game development.
• Experience supporting live service release cadence or program operations planning.

Deep Data Analysis

Write complex SQL queries (BigQuery/MySQL) and Python analyses to answer strategic questions about pipeline bottlenecks and cross-team process performance.

Mentorship

Mentor associate and mid-level analysts on SQL, data modeling, dashboarding, and analytical rigor.

Need to Have

Demonstrated experience diagnosing pipeline bottlenecks or dependency issues and translating findings into concrete recommendations.