About Lemon Sky Studios
Lemon Sky Studios is Southeast Asia’s largest game development company, partnering with top-tier publishers to build iconic games and original experiences. As we expand into live-operated mobile titles powered by globally recognized IPs, we're looking for smart, data-driven talent to help us build the systems that will power our decision-making across gameplay, user acquisition, and monetization.
Role Overview
We’re hiring anAnalytics & Insights Developerto design and build the full analytics stack for our upcoming free-to-play mobile title. This is a hands-on technical role that combines backend development, data engineering, and analytics delivery, while progressively evolving into a key strategic role as we move from soft launch to live operations.
You will be responsible for building event tracking, data pipelines, dashboards, and automated yield systems that support performance optimization, live ops, and player insights across multiple tools and stakeholder groups.
Key Responsibilities
- Full Stack Analytics Development
Architect and implement data tracking, ingestion pipelines, and backend systems to capture player behavior, economy flow, and live ops performance. - Dashboards & Visualization
Build internal dashboards using tools such as Looker, Tableau, Power BI, or custom-built interfaces for game designers, PMs, and executives. - Data Integration & Portability
Ensure data is structured and exportable into different systems including BI tools, marketing platforms, CRM systems, and game economy tools. - Insight Automation
Develop scripts and backend tools that can automate alerts, campaign adjustments, or gameplay tuning recommendations based on live data. - Cross-Disciplinary Collaboration
Work closely with game designers, producers, UA teams, and external publishers to align on KPIs and business goals, and ensure data is structured to support evolving needs. - Yield Optimization
Support automated systems that help improve monetization, retention, and acquisition strategy through predictive models and real-time feedback.
Live Ops Support
Help the team transition from soft launch to live with scalable infrastructure, monitoring tools, and insight reports that drive week-to-week decision making.
Key Responsibilities
- Full Stack Analytics Development
Architect and implement data tracking, ingestion pipelines, and backend systems to capture player behavior, economy flow, and live ops performance. - Dashboards & Visualization
Build internal dashboards using tools such as Looker, Tableau, Power BI, or custom-built interfaces for game designers, PMs, and executives. - Data Integration & Portability
Ensure data is structured and exportable into different systems including BI tools, marketing platforms, CRM systems, and game economy tools. - Insight Automation
Develop scripts and backend tools that can automate alerts, campaign adjustments, or gameplay tuning recommendations based on live data. - Cross-Disciplinary Collaboration
Work closely with game designers, producers, UA teams, and external publishers to align on KPIs and business goals, and ensure data is structured to support evolving needs. - Yield Optimization
Support automated systems that help improve monetization, retention, and acquisition strategy through predictive models and real-time feedback.
- Live Ops Support
Help the team transition from soft launch to live with scalable infrastructure, monitoring tools, and insight reports that drive week-to-week decision making.
Required Qualifications
- Proven experience in analytics engineering or full-stack data development (minimum 3 years in gaming, mobile, or live-service environments).
- Strong command of SQL, Python, or similar scripting/data languages.
- Familiarity with data warehousing (BigQuery, Snowflake, Redshift, etc.) and pipeline tools (Airflow, dbt, etc.).
- Experience integrating with telemetry SDKs and analytics tools such as Firebase, GameAnalytics, Adjust, or Segment.
- Proven ability to develop dashboards (Looker, Power BI, Tableau) and automate reporting pipelines.
- Strong understanding of mobile game metrics: retention, ARPDAU, LTV, funnel analysis, player segmentation, and monetization design.
Bonus Qualifications
- Experience with predictive modeling and machine learning for churn prediction or in-game behavior.
- Familiarity with UA campaign performance and attribution systems.
- Exposure to Web3 games or blockchain-based analytics stacks.
- Experience in startup or co-development environments where analytics systems were built from scratch.