About the position The Senior Data Analyst delivers high-impact insights to inform business and product decisions across fan-facing digital experiences and platforms. The role works closely with Product, Engineering, Marketing, and other partners to analyze performance, define success metrics, and support global digital initiatives. The position combines ongoing analytical delivery with the evolution of data models, metrics, and reporting capabilities. The analyst balances day-to-day insights, deeper analysis, and continuous improvement of analytical foundations, with an emphasis on accuracy, reliability, and long-term value. The role requires sound judgment in prioritizing competing analytical needs and aligning insights with business outcomes, fan experience, and data quality. This is a 24-month fixed-term role. It is classified as exempt in the United States and has no people-management responsibilities.

Responsibilities

• Lead complex analyses that support business, product, and platform decision-making.
• Partner with business partners, Engineering, Shared Services Partners, and other stakeholders to define analytical requirements, KPIs, and success metrics.
• Build, maintain, and evolve dashboards, reports, and analytical models used across the organization.
• Analyze large, multi-source datasets to identify trends, risks, and opportunities.
• Translate business questions into clear analytical approaches and actionable recommendations.
• Ensure data accuracy, consistency, and reliability in partnership with data engineering and platform teams.
• Document metric definitions, assumptions, and analytical methodologies to support shared understanding and reuse.
• Improve analytics processes, tools, and standards, including responsible use of AI-enabled analytics.
• Provide guidance and informal mentorship to other analysts, improving analytical quality and consistency.

Requirements

• At least 5 years of experience in data analysis, business intelligence, or a related analytics role.
• Strong proficiency in SQL and experience working with large datasets in cloud-based or enterprise data environments.
• Hands-on experience with data visualization tools such as Tableau, Power BI, Looker, or equivalent.
• Working knowledge of statistical analysis and experience using Python, R, or similar tools.
• Solid understanding of KPI design, metrics frameworks, and data modeling concepts.
• Ability to manage multiple analytical efforts simultaneously and deliver work independently.
• Experience supporting production analytics, including validation, monitoring, and ongoing maintenance.
• Strong communication skills and ability to explain insights clearly to technical and non-technical audiences.
• Bachelor’s degree in Statistics, Mathematics, Computer Science, Economics, or equivalent practical experience.

Nice-to-haves

• Experience in digital media, entertainment, gaming, or product-driven organizations.

Benefits

• 100% employer-paid healthcare premiums for the employee.
• Generous paid family leave.
• Employer-paid life insurance.
• Employer-paid long- and short-term income protection insurance.
• 401(k) employer matching for US employees.
• Pension employer contributions for UK, Ireland, and Mexico employees.
• Fitness reimbursement.
• Commuter benefit.
• LinkedIn Learning.
• Comprehensive relocation package for certain roles.
• Company events that celebrate the spirit of Pokémon.
• Competitive cash-based compensation programs.

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