Principal Product Analyst in London

Help shape and scale King’s most visible time-limited experiences. As a Principal Product Analyst dedicated to Candy Product Marketing, you’ll be an embedded analytics expert for marketing events, partnering across Product, Marketing, Economy, and Gameplay Analytics to design high-performing experiences, quantify opportunities, and deliver measurable growth. You will be part of the Candy Gameplay Analytics team and work closely with other data scientists and analysts.

Your role within the Kingdom

• Strong product and live ops expertise – understand core game mechanics, PvP/tournaments, reward economies, engagement loops, and live operations dynamics.
• Strategic advisor and opportunity shaper – identify structural growth opportunities across tentpoles by analysing player behaviour, performance patterns, and portfolio gaps; proactively surface and prioritise areas by incremental impact potential; support roadmap discussions with quantified trade-offs, scenario modelling, and clear opportunity sizing.
• Discovery support and experience co-designer – embed from the earliest discovery phase to validate hypotheses with behavioural data, segmentation insights, and rapid learning loops; co-design mechanics, meta structures, and engagement loops with Product and Marketing.
• End-to-end experimentation leader – define measurement frameworks and north-star KPIs; design and run A/B tests and experiments for complex scenarios (e.g., blackouts, restarts, staggered rollouts); ensure results are statistically sound and translated into concrete actions.
• Economy and reward design capability – quantify optimal reward structures, monetisation loops, and player value trade-offs to balance engagement, fairness, and commercial outcomes.
• Performance, forecasting, and holistic measurement – build impact forecasts and full-funnel performance evaluations (participation, retention, monetisation, acquisition); partner with Consumer Marketing Analytics to produce consolidated reporting that aligns in-game and out-of-game performance under a shared measurement framework.
• Autonomous and embedded partner – fully dedicated to the team’s roadmap; own analytics strategy for major tentpoles (e.g., All Stars) while operating seamlessly across functions.

Skills to create thrills

• Product and live ops mastery across PvP/tournaments, tentpoles, and meta progression systems.
• Experimentation leadership – set high standards for experimentation and measurement, ensuring robust insights that inform product strategy.
• System-level thinking – understand and optimise complex product systems and economies to balance user experience and business performance.
• Strategic forecasting and causality – anticipate trends and quantify impact using advanced analytical approaches to guide long-term decisions.
• Communication and influence – crisp storytelling for senior stakeholders; ability to turn complex numerical analysis into clear, actionable narratives.

Experience we’re looking for

• 7+ years in product analytics or growth analytics within free-to-play games, consumer tech, or similarly fast-iterating online products.
• Proven track record shaping live ops/tentpole strategies end-to-end: from discovery to design, launch, measurement, and iteration.
• Advanced SQL (BigQuery or similar) and proficiency with Python or R; experience with BI/visualisation tools (e.g., Looker).
• Strong statistics/applied experimentation background; comfortable with ambiguity and complex, multi-variate environments.
• Bachelor’s/Master’s in a quantitative field (e.g., Statistics, Mathematics, Economics, Engineering) or equivalent experience.
• Hands-on experience with large tournament-style events and time-limited modes at scale.
• Familiarity with player segmentation frameworks, LTV modelling, and portfolio-level trade-off analysis.
• Experience consolidating in-game and marketing performance into a single, aligned measurement framework.
• Comfort working with experimentation platforms and event orchestration in live service environments.

Ways of working

• Outcome-oriented, self-directed, and embedded: define analytics strategy, set evidence bar, and drive clarity amid ambiguity.
• Collaborative partner to Product, Marketing, Economy, Design, and Data Engineering; raise craft standards through reusable frameworks, dashboards, and documentation.