Insights Analyst III (Game Analytics TCG or CCG Experience)

Job Title: Insights Analyst III (Game Analytics)

Location: Los Angeles, CA (Hybrid)

Job Description

We are looking for an experienced Insights Analyst III to support strategic and operational decision-making through data-driven insights. In this role, you will leverage your expertise in analytics to analyze player engagement, product performance, and business metrics to inform future gameplay design, publishing strategy, and overall product direction. You will work closely with game designers, producers, program managers, publishers, and leadership to transform complex datasets into meaningful insights that improve player experience and drive business success. This position requires someone who enjoys working in a fast-paced, evolving environment and is passionate about solving complex business and product challenges using data.

Responsibilities

• Partner with Data Engineering teams to develop, structure, and optimize datasets involving player engagement, game events, marketing performance, and product sales.
• Transform small and large datasets into meaningful analyses that identify player behaviors, preferences, audience segments, and engagement patterns.
• Develop and maintain KPIs, reports, dashboards, and performance metrics to monitor game health, business health, player engagement, revenue, organized play, new product performance, marketing performance, regional launches, sales channels, and other key business initiatives.
• Collaborate with designers, producers, product managers, and cross-functional stakeholders to develop analytical frameworks, generate hypotheses, perform testing, and deliver actionable insights that support product strategy and operational decisions.
• Analyze player-level data including event data, lifecycle analysis, attach rates, funnel analysis, retention, engagement, revenue, and content performance to better understand player behavior.
• Perform market and competitive analysis, including game meta, balance, pricing strategies, social sentiment, and overall product performance.
• Build and maintain ETLs, DAGs, and other data pipelines to transform raw data into structured datasets that support reporting and advanced analytics.
• Present analytical findings and business recommendations through compelling dashboards, reports, and executive-level presentations.
• Support additional analytics initiatives such as audience research, product development, demand planning, and business performance evaluations as needed.

Required Qualifications

• 5+ years of professional experience in Data Analytics, including at least 2 years of analytics experience supporting online games or physical Trading Card Games (TCGs), either directly on a game team or in a support role working with player-level data.
• Professional experience working closely with Data Engineering teams.
• Proficiency in building ETLs, DAGs, or other data pipelines and transforming raw data into structured datasets.
• Strong proficiency in SQL, Databricks, and Tableau.
• Comfortable working in a fast-paced, evolving, and unstructured data environment.
• Experience analyzing game health metrics such as player engagement, retention, revenue, and new content performance.
• Experience analyzing player-level data including event data, lifecycle analysis, attach rates, and funnel analysis.
• Experience analyzing game market and competitive data, including game balance (meta), pricing, and social sentiment.
• Demonstrated experience applying the scientific method by developing hypotheses, testing assumptions, and reporting outcomes and business implications.
• Strong ability to break down complex business and product problems using analytical frameworks and develop solutions that benefit both players and the business.
• Excellent data storytelling, visualization, communication, and presentation skills, including presenting insights to senior leadership.

Preferred Qualifications

• Experience with physical Trading Card Games (TCGs), either as a player or as part of a development team.
• Experience working with game telemetry for large-scale live service games.
• Experience with demand planning for physical game products.
• Experience combining player engagement data with survey data for deeper customer insights.
• Experience using Airflow or other DAG-based workflow orchestration tools.