Lead Data Analyst

1. About Puzzle Studio

Puzzle Studio is a fast-growing mobile game studio passionate about creating fun, engaging, and high-quality casual puzzle games enjoyed by players worldwide.

We believe great games are built by talented people who combine creativity, technology, and data-driven decision-making. As our portfolio continues to grow, we're looking for a Lead Data Analyst to lead our analytics function and help shape the future of our games through meaningful insights and strategic recommendations.

If you're passionate about games, enjoy solving complex business problems with data, and love leading high-performing teams, we'd love to hear from you.

2. Role Overview

As the Lead Data Analyst, you will lead the company's analytics strategy across our game portfolio and play a critical role in driving product decisions through data.

Working closely with Product Managers, Game Designers, User Acquisition, Monetization, and Engineering teams, you will transform player behavior and business data into actionable insights that improve player experience, engagement, retention, and revenue.

In addition to hands-on analytics, you will establish analytics best practices, mentor the analytics team, and foster a strong data-driven culture across the organization.

3. Responsibilities

• Define and drive the company's analytics strategy aligned with product and business goals.
• Lead, mentor, and develop the Data Analytics team.
• Partner closely with Product, Game Design, Monetization, UA, and Engineering teams to support strategic decision-making.
• Design, maintain, and improve dashboards, KPI frameworks, and reporting systems across all game titles.
• Lead A/B testing initiatives and evaluate feature performance using statistical methodologies.
• Analyze player behavior, retention, engagement, monetization, LiveOps performance, and game economy.
• Identify growth opportunities and provide data-driven recommendations to improve product performance.
• Collaborate with Engineering to ensure high-quality event tracking and scalable analytics infrastructure.
• Promote data literacy across the company by helping stakeholders understand metrics, insights, and analytical best practices.
• Present analytical findings and strategic recommendations to senior leadership.