Senior Product Analyst

Posted 4 Days Ago
Be an Early Applicant
3 Locations
In-Office
Senior level
News + Entertainment
Making the World Playful
The Role
Own product analytics for Candy Crush Saga, focusing on experimentation, player behavior, monetization, pricing, in-game economy, tracking, data quality, and reporting. Build Looker dashboards and write BigQuery SQL to deliver actionable insights to Product, Design, Engineering, and Data Science partners. Translate complex data into recommendations, support A/B testing, improve observability, and mentor junior analysts while handling operational analytics at scale.
Summary Generated by Built In

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.

Skills Required

  • Strong analytical and problem-solving skills with experience deriving insights from behavioral or product data.
  • Strong SQL skills and confidence working independently with large datasets.
  • Experience with experimentation and A/B testing, including experiment design, result interpretation, and product recommendations.
  • Dashboarding experience in Looker or a comparable business intelligence tool.
  • Experience using data to support product, business, or operational decisions.
  • Ability to communicate analysis clearly through data visualization and evidence-based recommendations.
  • Ability to work cross-functionally with Product, Design, Engineering, and Data Science.
  • Independence and initiative when solving ambiguous product problems.
  • Willingness to own operational work including tracking, observability, and data quality.
  • Good understanding of statistics and confidence interpreting experiment results.
  • Python or R experience for analysis, automation, or modeling.
  • Experience using AI tools such as Claude, ChatGPT, or Codex.
  • Experience in games, live-service products, or another fast-moving consumer product.

King Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about King and has not been reviewed or approved by King.

  • Leave & Time Off Breadth Paid vacation, floating holidays, sick time, a winter holiday break, and substantial paid leaves for life events are part of the package. Offerings are localized by country while maintaining generous time-away support.
  • Healthcare Strength Multiple medical plan options, preventive care coverage, company HSA/HRA contributions, and mental‑health resources are highlighted. Access is tailored to local systems and includes fitness program options.
  • Parental & Family Support Enhanced leave for all parents and family‑building support such as adoption and surrogacy reimbursement are emphasized. Additional paid compassion and bereavement leaves extend support for caregiving needs.

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The Company
HQ: London
6,473 Employees
Year Founded: 2003

What We Do

King is a leading interactive entertainment company in the mobile world. We create unforgettable games that are played around the world every single day, like Candy Crush, our sweet phenomenon. King is an independent unit of Activision Blizzard Inc. which acquired King in February 2016.

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