Analytics Manager, Commercialization

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $85k - $110k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

📉 Data Analyst

👻 Ghost score 0%

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Logo of Atari

Atari

11 - 50 employees

Founded 1972

🎮 Gaming

🛒 Retail

🔧 Hardware

Gaming • Retail • Hardware

Atari is a renowned company specializing in gaming, particularly known for its vintage gaming consoles like the Atari 2600+ and Atari 7800+. The company offers a variety of gaming products, including new and classic games, cartridges, and arcade machines. Atari also sells apparel, collectibles, and various gaming accessories. Additionally, it continues to innovate in gaming through new consoles and special editions, as well as collaborating with brands like Intellivision and Nightdive.

📋 Description

• Operate the Commercial Brain by scoping analyses, interrogating its reasoning, identifying errors and unstated assumptions, and improving its workflows • Act as the second reviewer of record for analyses • Own the empirical loop by recording expected outcomes and measuring actual results • Reconcile sales data against platform ground truth and adjudicate data-provider defects • Build automations that reduce manual analytical work • Own recurring per-game analysis covering pricing, discounting, regional performance, and lifecycle dynamics across hundreds of games • Define approaches and outputs for ambiguous commercial questions, then turn them into AI context, repeatable AI skills, and scripts • Build business cases for game forecasting, platform deals, bundle strategies, and portfolio opportunities • Develop metrics measuring commercialization-system performance • Partner with the Business Operations Manager • Maintain written records of judgment calls and reasoning for weekly review • Present findings and recommendations to the Director of Commercial and executive leadership

🎯 Requirements

• 3–5 years in analytics, commercial strategy, or a related field • A genuine passion for games • High autonomy and ability to work with direction and context rather than in-the-weeds supervision • Experience working at startup pace with thin process and end-to-end ownership • Intellectual honesty and rigorous verification of analyses • Familiarity with AI tools and ability to build and iterate upon AI-assisted workflows • Strong statistical foundations, including identifying confounded variables and aggregation errors • Basic financial modeling and ability to build a business case from first principles • Advanced Excel • Demonstrated ability to turn large, messy datasets into clean, credible output • Ability to read and catch errors in Python and SQL • Clear writing • Games industry experience is a bonus

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