Analytics Manager, Commercialization

Summary

Atari is a growing games company seeking an Analytics Manager, Commercialization to lead rigorous analysis and improve commercial decision-making. The role operates and enhances the AI-powered Commercial Brain, owns data verification and recurring game analysis, builds financial models and business cases, and presents recommendations to commercial and executive leadership.

Responsibilities

• Scope analyses with the Commercial Brain, interrogate its reasoning, and find its errors and unstated assumptions before they reach a decision
• Act as the second reviewer of record on analyses that today have only one. Verification is a primary deliverable of this role
• Own the empirical loop: every significant decision records an expected outcome, and you measure actuals against it. For example, outcome backfills, hypothesis tests, and calling out falsifications as wins
• Own data trust: reconcile our sales data against platform ground truth, adjudicate defects with our data providers, and refuse to let analyses run on numbers that haven’t cleared
• Build automations that remove manual analytical work and free capacity for higher-order problems
• Own recurring per-game analysis like pricing, discounting, regional performance, and lifecycle dynamics across hundreds of games. For some types of analysis, you’ll inherit a documented method that you will challenge and extend. For other types, you’ll create the methods then turn them into repeatable AI skills
• Take ambiguous commercial questions and independently define the approach, structure, and output. Then turn your approach into AI context and repeatable AI skills and scripts
• Build business cases for commercial decisions including game forecasting, platform deals, bundle strategies, and portfolio opportunities (ports, streaming, cloud gaming, physical partnerships, etc.)
• Develop metrics to measure the holistic performance of our commercialization system at every level
• Partner closely with our Business Operations Manager. The line between you will not be tidy: there is more process to define than one person can carry, so both of you will need to be comfortable stepping across it
• Keep a written record of the judgment calls behind your work, reviewed weekly, so the reasoning is inspectable rather than in someone’s head
• Present findings and recommendations to the Director of Commercial and, where relevant, to executive leadership

Skills

• 3–5 years in analytics, commercial strategy, or a related field
• A genuine passion for games
• High autonomy. You receive a problem, you figure out the approach, and you come back with a proposal. This role is remote and your manager will give you direction and context, not in-the-weeds supervision
• Startup pace and ownership. You've worked where priorities move weekly, process is thin, and you own outcomes end to end
• Intellectual honesty. You would rather tell someone their hypothesis is wrong than confirm it with a flawed analysis. The most valuable thing you can do here is to notice that a confident, well-formatted answer is wrong, including one you produced, and address it before anyone else does
• You verify before you ship. You treat “confident and well-formatted” as a reason for more scrutiny, not less, and you keep the reasoning written down
• Familiarity with AI tools and real opinions about where they fail. You do not need to be an engineer, but you should be able to build and iterate upon AI-assisted workflows
• Strong statistical foundations. You know where analyses break down, you hunt for confounded variables and aggregation errors before anyone asks, and you can explain your methodology under scrutiny
• Basic financial modeling, including building a business case from first principles without guidance
• Advanced Excel, and demonstrated ability to turn large, messy datasets into clean, credible output
• Ability to read and catch errors in Python and SQL
• Clear writing. You write clearly enough that we, or an AI agent, can tell exactly what you meant
• Games industry experience

Qualifications

Must Haves

• 3–5 years in analytics, commercial strategy, or a related field
• A genuine passion for games
• High autonomy. You receive a problem, you figure out the approach, and you come back with a proposal. This role is remote and your manager will give you direction and context, not in-the-weeds supervision
• Startup pace and ownership. You've worked where priorities move weekly, process is thin, and you own outcomes end to end
• Intellectual honesty. You would rather tell someone their hypothesis is wrong than confirm it with a flawed analysis. The most valuable thing you can do here is to notice that a confident, well-formatted answer is wrong, including one you produced, and address it before anyone else does
• You verify before you ship. You treat “confident and well-formatted” as a reason for more scrutiny, not less, and you keep the reasoning written down
• Familiarity with AI tools and real opinions about where they fail. You do not need to be an engineer, but you should be able to build and iterate upon AI-assisted workflows
• Strong statistical foundations. You know where analyses break down, you hunt for confounded variables and aggregation errors before anyone asks, and you can explain your methodology under scrutiny
• Basic financial modeling, including building a business case from first principles without guidance
• Advanced Excel, and demonstrated ability to turn large, messy datasets into clean, credible output
• Ability to read and catch errors in Python and SQL
• Clear writing. You write clearly enough that we, or an AI agent, can tell exactly what you meant

Nice to Haves

• Games industry experience

Benefits

• This role is remote