Senior Product Analyst

Craft:

Job Description:

• 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.

• 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.

• 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.

• 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.

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.