Senior Product Analyst

Craft:

Job Description:

Job Description
We are looking for a Senior Product Analyst to join the Player Value team on Candy Crush Saga. You will own the analytics and operational support that helps the team understand player behaviour, run better experiments, and make faster, sharper decisions. Your primary focus will most likely be the In-App Purchases (IAP) area, though the role may span other parts of the player journey — early funnel, communication systems, or the in-game economy — as priorities evolve.
This is a role for someone who is genuinely independent and analytically driven: comfortable owning the experimentation lifecycle end to end, partnering closely with Product Managers, translating messy data into clear recommendations, and rolling up their sleeves on operational work at Candy scale without balking at it. You will work cross-functionally every day and gain hands-on exposure to AI tools such as Claude, ChatGPT and Codex, which the team actively uses to accelerate analysis, reporting and communication.

Your Role Within Our Kingdom

• Own the experimentation lifecycle end to end for your area — from problem formulation and hypothesis design through analysis, readout, recommendation and follow-up.
• Perform quantitative (and, where useful, qualitative) analysis of player behaviour to identify opportunities to improve monetisation, retention and player experience.
• Turn complex data into clear insights, recommendations and narratives that Product Managers, Designers and leadership can quickly act upon.
• Support pricing decisions by analysing price points, offers and promotions, measuring their impact on conversion, revenue and long-term player value.
• Help manage the in-game economy by monitoring balance, sinks and sources, and the health of currency and reward systems while proactively identifying risks and opportunities.
• Own tracking specifications by defining the events and metrics needed for new features, writing clear tracking documentation and ensuring instrumentation is implemented correctly so data is trustworthy from day one.
• Take ownership of operational work at scale, including reporting, observability, data quality, event integrity and coordination, recognising these as essential parts of delivering value in a live game.
• Build and maintain Looker dashboards and reporting frameworks that enable self-service analytics and faster decision-making.
• Write robust, performant SQL in BigQuery to answer product questions and power analysis and reporting.
• Partner closely with Developers, Product Managers and Data Scientists on end-to-end solution delivery, observability, experimentation and data model improvements.
• Use segmentation, funnel analysis and journey mapping to explore complex product questions and uncover meaningful insights.
• Use AI tools such as Claude, ChatGPT and Codex to accelerate analysis, prototyping and communication.
• Support the Analytics craft through knowledge sharing, strong data definitions, shared standards and mentoring more junior analysts.

What Success Looks Like

• You become a trusted analytical partner to your Product Manager, helping shape product decisions through data, experimentation and commercial insight.
• You provide reliable, actionable insights that improve product decisions and deepen the team's understanding of players.
• You help the team move quickly by surfacing the right facts, reducing ambiguity and connecting data to product outcomes.
• You operate effectively in a fast-paced live-game environment, solving problems that rarely come with predefined solutions or established playbooks.
• You build strong, trusted relationships with Product, Design, Engineering and Analytics partners, contributing to high-quality end-to-end delivery.
• Operational work at scale is executed reliably and efficiently because you treat it as a core part of delivering value rather than a maintenance task.

Skills to Create Thrills Core

• Strong analytical and problem-solving skills, with a track record of deriving meaningful insights from behavioural or product data.
• Strong SQL skills (BigQuery preferred) and confidence working independently with large datasets.
• Experience owning or contributing to experimentation and A/B testing, including helping design experiments, interpreting results and translating findings into product recommendations.
• Dashboarding experience in Looker (or a comparable BI tool) to build reporting and self-service analytics.
• Experience using data to support product, business or operational decisions.
• Ability to communicate analysis clearly and concisely through strong data visualisation and evidence-based recommendations.
• Comfort working cross-functionally with Product, Design, Engineering and Data Science.
• Genuine independence and initiative — comfortable taking ambiguous product problems and driving them through to actionable outcomes.
• Willingness to take ownership of operational work at scale, including tracking, observability and data quality, recognising these as essential parts of delivering product value.

Highly Appreciated

• Good understanding of statistics, with confidence interpreting experiment results and supporting A/B test analysis.
• Python or R for analysis, automation or modelling.
• Curiosity about using AI tools such as Claude, ChatGPT or Codex to accelerate analysis, reporting and communication. Previous experience is welcome but not required.
• Experience in games, live-service products or another fast-moving consumer product.

Role Scope
As a Senior Product Analyst, you will typically operate at the product-theme or feature level, providing analytical leadership across end-to-end solution delivery. You will identify data-driven opportunities, support cross-functional teams through analysis and coordination, and tackle problems that rarely have predefined solutions.
The role complements Product Management and Data Science rather than replacing either. The Analytics craft's core contribution is data-driven discovery, experimentation, exploration and recommendation, with a strong emphasis on product understanding, operational excellence, technical independence, stakeholder partnership and the ability to translate data into better product decisions.

About King

With a mission of Making the World Playful, King is a leading interactive entertainment company for the mobile world with more than 20 years of history of delivering some of the world’s most iconic games in the mobile gaming industry, including the world-famous Candy Crush franchise, as well as other mobile titles such as Farm Heroes Saga. Around 200 million people play a King game every month. King, part of Microsoft (NASDAQ: MSFT), has Kingsters in Stockholm, Malmö, London, Barcelona, Berlin, Dublin, San Francisco, New York, Los Angeles and Malta. More information can be found at King.com or by following us on LinkedIn and @lifeatking on Instagram.

Own the experimentation lifecycle end-to-end, from hypothesis design to recommendations. Perform quantitative and qualitative analysis of player behavior. Turn complex data into clear insights and narratives. Support pricing decisions and manage in-game economy. Own tracking specifications and ensure data trustworthiness. Take ownership of operational work at scale, including reporting and data quality. Build and maintain Looker dashboards. Write robust SQL in BigQuery. Partner closely with Product Managers, Developers, and Data Scientists. Use segmentation, funnel analysis, and journey mapping. Support Analytics craft through knowledge sharing and mentoring. Strong analytical and problem-solving skills. Experience using data to support product/business decisions. Ability to communicate analysis clearly. Comfort working cross-functionally and taking initiative. Willingness to own operational work.