Senior Product Analyst

Overview

As a Senior Product Analyst on the Player Value team for Candy Crush Saga, you own end-to-end analytics and operational support to deepen understanding of player behavior, run experiments, and drive faster, sharper decisions. You’ll primarily focus on In-App Purchases while potentially touching early funnel, communications systems, and the in-game economy. You work across functions to translate data into actionable recommendations, contribute to monetisation and player experience improvements, and scale operational analytics in a live game environment.

Responsibilities

• Own the end-to-end experimentation lifecycle for your area, from problem formulation to readout and follow-up
• Analyze player behaviour to identify monetisation, retention and experience opportunities
• Translate complex data into clear recommendations and narratives for product, design and leadership
• Support pricing decisions by analysing offers and promotions and their impact
• Help manage the in-game economy by monitoring balance and currency systems
• Define tracking events and metrics for new features and ensure trustworthy instrumentation
• Lead operational work at scale (reporting, observability, data quality, event integrity)
• Build and maintain Looker dashboards and self-service analytics frameworks
• Write robust SQL in BigQuery for analysis and reporting
• Collaborate with Developers, PMs and Data Scientists on end-to-end delivery and data model improvements
• Use segmentation and journey mapping to explore questions and uncover insights
• Leverage AI tools (Claude, ChatGPT, Codex) to accelerate analysis and communication
• Support the Analytics craft through knowledge sharing and mentoring junior analysts

Key requirements

• Strong analytical and problem-solving skills with ability to derive insights from behavioural or product data
• Strong SQL skills (BigQuery preferred) and ability to work independently with large datasets
• Experience owning or contributing to experimentation and A/B testing
• Dashboarding experience in Looker or comparable BI tool
• Experience using data to support product, business or operational decisions
• Clear, concise data visualization and evidence-based recommendations
• Cross-functional collaboration with Product, Design, Engineering and Data Science
• Genuine independence and initiative in solving ambiguous product problems
• Willingness to take ownership of operational work at scale
• Experience in live-service games or similar fast-moving products is a plus

• Independence and initiative
• Analytical storytelling
• Cross-functional collaboration
• Looker (or similar BI tool)
• SQL (BigQuery)
• Experience with experimentation and A/B test design and interpretation

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