Analytics Manager, Commercialization

About Our Client

The organization operates within the games industry, focusing on commercial strategy and analytics to drive growth. It addresses the challenge of making informed commercial decisions amid complex and rapidly expanding datasets by leveraging an internal AI system that supports analysis and decision-making processes. The organization values long-term value creation and combines passion with disciplined execution to sustain its growth.

About the Opportunity

The Analytics Manager, Commercialization leads the operation and improvement of a proprietary AI-driven analytics system to support commercial decision-making. This role is responsible for ensuring the accuracy and reliability of data analyses that directly impact revenue and commercial strategies. It requires addressing ambiguous problems, providing insight and judgment, and contributing to financial modeling and strategic planning that shape the organization's commercial success.

Responsibilities

• Operate and monitor the AI analytics system, identifying errors and assumptions before decisions are made.
• Serve as the second reviewer for commercial analyses, ensuring verification and accuracy.
• Manage the empirical feedback loop by comparing expected outcomes to actual results.
• Maintain data integrity by reconciling sales data and addressing defects with data providers.
• Develop automations to reduce manual analytical tasks.
• Conduct recurring analyses on pricing, discounting, regional performance, and lifecycle dynamics across multiple games.
• Define approaches to ambiguous commercial questions and convert methods into repeatable AI workflows.
• Build business cases for commercial decisions, including forecasting and portfolio opportunities.
• Develop metrics to assess overall commercialization system performance.
• Collaborate closely with the Business Operations Manager and document decision-making processes.
• Present findings and recommendations to leadership.

Requirements

• 3–5 years of experience in analytics, commercial strategy, or a related field.
• Strong autonomy and ability to independently define and execute analysis approaches.
• Experience working in fast-paced, startup-like environments with ownership of outcomes.
• Intellectual honesty and dedication to verifying analysis accuracy.
• Familiarity with AI tools and ability to develop AI-assisted workflows.
• Solid statistical knowledge and ability to identify analytical errors.
• Basic financial modeling skills and business case development.
• Advanced Excel skills with experience handling large, complex datasets.
• Ability to read and identify errors in Python and SQL.
• Clear and precise writing skills.
• Passion for games is preferred.