Business Analyst

Position: Staff Business Analyst
Why Play Station?

Play Station isn't just the Best Place to Play - it's also the Best Place to Work. Today, we're recognized as a global leader in entertainment producing The Play Station family of products and services including Play Station®5, Play Station®4, Play Station®VR, Play Station®Plus, acclaimed Play Station software titles from Play Station Studios, and more.

Play Station also strives to create an inclusive environment that empowers employees and embraces diversity. We welcome and encourage everyone who has a passion and curiosity for innovation, technology, and play to explore our open positions and join our growing global team.

The Play Station brand falls under Sony Interactive Entertainment, a wholly-owned subsidiary of Sony Group Corporation.

Staff Business Analyst, AI-Enabled CommerceSan Mateo, CA (hybrid) - will require regular onsite work at our San Mateo campus (1-2 times per week)

Please note, this is a senior individual contributor Business Analyst role, not a Product Management position.

About the Role

Join the Commercial Development team at Play Station and help shape the future of our Direct-to-Consumer businesses - Play Station Store and Play Station Direct!

You will be accountable for translating commercial opportunities into business requirements and change in processes, using experimentation to build the case for change, and influencing senior leaders through structured analysis and financial reasoning. You'll also collaborate with business, product, data science and engineering teams to ensure new product features meet those business requirements. You will not own a product roadmap, feature backlog, or delivery team.

This role sits at the intersection of commerce, data science, product, engineering and business strategy, with a strong emphasis on decision quality, experimentation, and commercial impact.

What You'll Do

• Lead complex business analysis for global, high-impact AI / ML initiatives across digital commerce, personalization, subscriptions, and publishing operations
• Translate complex commercial objectives into actionable business requirements with measurable outcomes
• Partner with product, engineering, and data science teams to ensure product requirements meet the needs of the business and then facilitate successful product development and delivery
• Influence senior stakeholders through structured problem framing, financial reasoning, and data-informed recommendations
• Partner with data analytics teams to define, execute and evaluate experiments around personalization, revenue growth, and operational improvements
• Map business processes and guide the organization in process improvement and automation to deliver operational efficiencies
• Mentor team members in AI / ML business analysis and product development methodologies, champion responsible data practices, and encourage continuous learning across teams

What This Role Is Not

• Not a Product Manager role
• Not feature or roadmap ownership
• Not delivery or execution management
• Not a purely technical ML, data science or data analyst role

What We're Looking For

• 8+ years of experience in Business Analysis within digital commerce, subscriptions or retail businesses
• Decompose vague business problems into structured analytical questions and clear business requirements
• Partner with product, engineering and data science teams to design and deliver commerce and tooling solutions
• Define decision logic before proposing solutions
• Challenge assumptions and build arguments using data and financial reasoning
• Map complex business process and direct teams through process improvement and automation initiatives
• Strong experience working alongside data science / machine learning teams, including:

• • Defining requirements for AI / ML enabled solutions
  • Evaluating model applicability and limitations
  • Translating model outputs into business decisions
• Deep understanding of experimentation and measurement
• Commercial mindset with comfort discussing unit economics, marginal vs absolute lift, and ROI
• Executive-level communication skills, able to explain complex concepts clearly and credibly, backed by data-driven arguments

Nice to Have

• Experience with personalization, next best…