Product Analyst | Candy Crush Soda Saga

As a Product Analyst, your mission is to transform player data into strategic insights that directly inform product development and innovation. You’ll work embedded within cross-functional product teams to uncover problems, shape solutions, define success metrics, and evaluate impact — all with the aim of improving player experience and driving business outcomes. You are expected to go beyond reporting — you are a decision-shaping partner for product, design, and engineering. This means developing causal understanding of metric movements, supporting experimentation, and ensuring learnings compound over time across teams and themes.

Must Have

• Conduct deep-dive analyses to surface player behaviors, unmet needs, and opportunity areas.
• Design and evaluate A/B tests using robust statistical frameworks.
• Partner with Product Managers to define hypotheses, target and guardrail metrics, and interpret test outcomes.
• Run post-test deep dives to uncover causality and unintended effects.
• Contribute to a cumulative knowledge base that informs future product bets.
• Attend planning, standups, retros, and other rituals to remain embedded in the product lifecycle.
• Collaborate with PMs and Designers in problem and solution discovery processes.
• Provide pre-intervention scoping support (e.g. feasibility, estimated impact, prior learnings).
• Translate complex data insights into clear, actionable recommendations for diverse audiences.
• Build, maintain, and improve dashboards for key performance metrics.
• Automate repetitive reporting tasks to free up time for strategic analysis.
• Ensure data quality and integrity across tools and pipelines in collaboration with Data Scientists.
• Document all major analytical work in a centralized repository with clear methodologies and outcomes.
• Participate in peer reviews to raise the bar for analytical excellence.
• Contribute to building a culture of hypothesis-driven development and decision-making.
• Experience working with data using SQL and creating sophisticated queries.
• Adept in visualisation tools with experience in information visualisation and presentation.
• Experience with A/B testing, statistical analysis, and experiment design.
• Demonstrable ability to extract, manipulate, and interpret large datasets, identifying trends, and making data-driven recommendations.
• Strong communication and storytelling abilities — able to translate data into product narratives.
• Proven ability to influence cross-functional teams and drive decisions through evidence.

Good to Have

• Experience in gaming, consumer apps, or digital products with large user bases.
• Familiarity with data modelling and basic scripting (e.g., Python or R).
• Understanding of player behaviour segmentation, leading/lagging KPIs, and user lifecycle metrics.
• Knowledge of user research and design thinking principles.
• Experience with roadmap planning, understanding how data analysis informs the prioritisation of new features or enhancements to existing ones.

Craft:

Data, Analytics & Strategy

Job Description:

As a Product Analyst, your mission is to transform player data into strategic insights that directly inform product development and innovation. You’ll work embedded within cross-functional product teams to uncover problems, shape solutions, define success metrics, and evaluate impact — all with the aim of improving player experience and driving business outcomes. You are expected to go beyond reporting — you are a decision-shaping partner for product, design, and engineering.

This means developing causal understanding of metric movements, supporting experimentation, and ensuring learnings compound over time across teams and themes.

Your Role Within Our Kingdom

Responsibilities :

• Insight Generation & Experimentation
• Conduct deep-dive analyses to surface player behaviors, unmet needs, and opportunity areas.
• Design and evaluate A/B tests using robust statistical frameworks.
• Partner with Product Managers to define hypotheses, target and guardrail metrics, and interpret test outcomes.
• Run post-test deep dives to uncover causality and unintended effects.
• Contribute to a cumulative knowledge base that informs future product bets.
• Embedded Product Partnership
• Attend planning, standups, retros, and other rituals to remain embedded in the product lifecycle.
• Collaborate with PMs and Designers in problem and solution discovery processes.
• Provide pre-intervention scoping support (e.g. feasibility, estimated impact, prior learnings).
• Translate complex data insights into clear, actionable recommendations for diverse audiences.
• Operational Rigor & Automation
• Build, maintain, and improve dashboards for key performance metrics.
• Automate repetitive reporting tasks to free up time for strategic analysis.
• Ensure data quality and integrity across tools and pipelines in collaboration with Data Scientists.
• Knowledge Management & Culture Building
• Document all major analytical work in a centralized repository with clear methodologies and outcomes.
• Participate in peer reviews to raise the bar for analytical excellence.
• Contribute to building a culture of hypothesis-driven development and decision-making.

Knowledge & Skills

• Experience working with data using SQL and creating sophisticated queries
• Adept in visualisation tools with experience in information visualisation and presentation
• Experience with A/B testing, statistical analysis, and experiment design.
• Demonstrable ability to extract, manipulate, and interpret large datasets, identifying trends, and making data-driven recommendations. This includes understanding key performance indicators (KPIs) relevant to product success
• Strong communication and storytelling abilities — able to translate data into product narratives.
• Proven ability to influence cross-functional teams and drive decisions through evidence.

Nice to have

• Experience in gaming, consumer apps, or digital products with large user bases.
• Familiarity with data modelling and basic scripting (e.g., Python or R).
• Understanding of player behaviour segmentation, leading/lagging KPIs, and user lifecycle metrics.
• Knowledge of user research and design thinking principles
• Experience with roadmap planning, understanding how data analysis informs the prioritisation of new features or enhancements to existing ones