Amanotes

Tóm tắt công việc

About the role

We are looking for a proactive and forward-thinking Analytics Engineer to design, build, and scale our core data models, semantic layer, and AI-ready decision infrastructure across Amanotes.

In this role, you will bridge the gap between raw data pipelines built by Data Engineering and the analytical and operational needs of Product Managers, LiveOps, User Acquisition (UA), and Leadership. You will be responsible for transforming complex, high-volume player behavioral telemetry and business data into clean, well-documented, tested, and standardized dimensional models.

Beyond classical analytics engineering, you will pioneer the development of our "insight stack" — mapping data models and business questions into Model Context Protocol (MCP) tools and AI agent workflows, turning raw telemetry into reliable, automated, and self-serve business insights.

What you will do

1. Data Modeling & Semantic Layer Architecture & Maintenance

• Design, build, and maintain production-grade dimensional data models in Google BigQuery using dbt, standardizing core metrics (UA, ad monetization, IAP, player engagement, and retention) into a trusted single source of truth.
• Own and evolve the enterprise semantic layer across BI platforms (e.g., Metabase) and AI agent endpoints, preventing metric drift through clear versioning, deprecation policies, and canonical definitions.
• Maintain model health, cost, and query performance: optimize BigQuery execution (partitioning, clustering, incremental builds) while ensuring data freshness SLAs and anomaly monitoring.
• Enforce software engineering rigor across analytics: modular dbt development, automated CI/CD testing, Git version control, and peer code reviews.

2. Insight Stack & AI-Powered Decision Infrastructure

• Collaborate with data leadership to design and evolve the "insight stack," connecting structured data assets to AI agents and Model Context Protocol (MCP) tools.
• Translate recurring stakeholder decision flows (across Product, LiveOps, UA, and Management) into standardized inputs, queries, validation rules, and structured outputs for automated agent execution.
• Build tool schemas, prompts, and execution flows enabling AI agents to query verified datasets, run comparative checks, and draft decision-ready summaries.
• Establish guardrails, data validation, and permission boundaries ensuring AI agents operate safely without unmonitored raw database access.

3. Data Quality, Testing & Verification

• Establish comprehensive automated testing frameworks (dbt tests, schema validation, data integrity rules) to safeguard data reliability and timeliness across all core data marts.
• Define evaluation criteria and test suites to benchmark AI agent outputs against ground-truth queries, dashboards, and analyst outputs.
• Build alerting and monitoring systems for data discrepancies, silent schema drift, and telemetry anomalies, driving swift incident resolution.
• Document assumptions, data lineage, edge cases, and handoff criteria between automated agent analysis and human analyst deep-dives.

4. Data Governance, Catalog & Discoverability

• Own and evolve the data catalog, managing metadata tags, descriptions, and ownership attributes across all modeled tables and views.
• Curate and maintain the enterprise business glossary and canonical metric definitions, ensuring clear alignment between technical schemas and business context.
• Maintain end-to-end data lineage from raw event telemetry to BI dashboards and AI agent endpoints to guarantee traceability and impact analysis.
• Champion data governance policies, including access control tiers, data stewardship, and PII identification/masking.

5. Stakeholder Enablement & Collaboration

• Partner closely with Data engineer to provide feedback on upstream data ingestion contracts, event tracking schemas, and warehouse performance optimization.
• Empower Data Analysts, Product Owners, and Growth teams to self-serve trusted data through clean documentation, intuitive table design, and BI semantic layers (e.g., Metabase).
• Act as an advocate for data literacy, reproducibility, and modern analytics engineering practices across the company.

Benefits

• Competitive salary upon experience
• 13th month salary
• Game Incentive
• Annual Performance Bonus
• Flexible working time
• Personal learning and well-being budget
• Team-building budget
• Lunch and parking allowance
• Various learning activities, including internal training & sharing, international conferences, and e-learning (Udemy, Linkedin Learning...)
• Engaging music events: Music Night, Amasing Night, Music schools…
• Employee Assistance Program to support mental health & well-being
• Minimum 12 days of paid annual leave, plus 10 days of paid sick leave
• 12 days working from home per year
• Attractive relocation package (for several positions)

Consent Notice for Personal Data Processing

- By applying to any position at Amanotes, you acknowledge and agree that your personal data will be collected and processed for recruitment-related purposes. Please read the “” carefully before submitting your application.

- Thank you for your interest in joining Amanotes.

About Amanotes

We are Amanotes – a dynamic music game company that’s using cutting-edge technology to transform how people experience music.

Since 2014, we’ve led the global simple music game market with over 3.5 billion downloads across 190+ countries, including chart-topping titles like Magic Tiles 3, Tiles Hop, Dancing Road, and Duet Cats.

As the #1 Music Game Publisher worldwide and the #1 App Publisher from Southeast Asia by downloads, our ambition is clear: to create iconic, hybrid-casual music games that people love and play for years.

What truly sets Amanotes apart is not just what we build — it’s how we grow and who we grow with:

🎓 We invest in your growth through learning budgets, coaching, and stretch opportunities.

🎶 We embrace a creative and dynamic culture, where everyone can play, share, and thrive.

🧘 We believe in work-life harmony — your rhythm matters here.

🏆 We recognize and reward impact, with competitive benefits and clear development paths.

Come join our music-filled workplace, where innovation meets rhythm — and let’s create a magical music experience together.

Amanotes – Where Everyone Can Music.