Product Analytics Engineer (AI-First)

kano; United States; Remote; USD 43,000 - 61,000; Full time

Benefits offered by this job

Profit sharing

Health benefits

Dental benefits

Vision benefits

Remote-first

In-person gatherings

Job summary

kano, a remote-first independent gaming studio, seeks a Product Analytics Engineer to deepen understanding of players and guide decisions across games, marketing, and LiveOps. The role is hands-on and AI-first, with collaboration across product, engineering, design, and LiveOps.

Candidates must reside in British Columbia and be eligible to work in Canada. You will build ETL pipelines on AWS, run deep-dive analyses, and leverage AI tools to accelerate SQL/Python work while delivering clear,

Qualifications

• 3+ years in data/analytics or analytics engineering.
• Strong SQL and Python for analysis, validation, scripting, and automation.
• Experience with cloud analytics platforms (AWS Athena, BigQuery, Snowflake, Databricks, Redshift).
• Ability to break vague questions into clear steps and tie results to product decisions.
• Hands-on use of AI tools for SQL or Python development and automation.
• Genuine interest in games and live-service products.

Responsibilities

• Analyze player behavior and product changes across onboarding, retention, monetization, progression, LiveOps, and economy health.
• Run funnel, cohort, and segmentation deep-dives to surface friction and spending patterns.
• Build, maintain, and optimize ETL pipelines on an AWS-based stack, writing cost- and performance-aware SQL.
• QA telemetry and pipelines; flag tracking issues and define tracking before launches.
• Support end-to-end A/B test design, success metrics, and post-experiment analysis.
• Use AI tools to accelerate SQL/Python work and automate workflows.

Skills

SQL

Python

Analytics engineering

Data storytelling

A/B testing

Tools

AWS Athena

BigQuery

Snowflake

Databricks

Redshift

Job description

Role overview

A remote-first independent gaming studio is hiring a Product Analytics Engineer to deepen understanding of players and improve decisions across games, marketing, and live operations. The position is hands-on, working across product, engineering, design, and LiveOps, and is explicitly an AI-first role: AI tools are central to daily work rather than the product itself. Candidates must reside in British Columbia and be legally eligible to work in Canada. The studio operates small live-service titles with mature economies, so analysis directly shapes player experience and business outcomes.

Responsibilities

• Analyze player behaviour and product changes across onboarding, retention, monetization, progression, LiveOps, and economy health.
• Run funnel, cohort, and segmentation deep-dives to surface friction, drop-offs, and spending patterns, then translate ambiguous questions into structured findings and recommendations.
• Build, maintain, and optimize ETL pipelines on an AWS-based stack, writing cost- and performance-aware SQL to expose clean analytical views.
• QA telemetry and pipelines proactively, flagging broken tracking, inconsistent definitions, or anomalous event volumes, and partner with product, engineering, and design to define tracking before launches.
• Support end-to-end A/B test design, success-metric definition, and post-experiment analysis.
• Use modern AI development tools to accelerate SQL and Python work, automate workflows, build reusable notebooks, and continuously experiment with new AI capabilities.

Requirements

• Three or more years in data, product, or business analytics, analytics engineering, data science, or a closely related role.
• Strong SQL skills including window functions and DDL, plus Python for analysis, validation, scripting, and automation.
• Hands-on experience with a cloud analytics environment such as AWS Athena, BigQuery, Snowflake, Databricks, or Redshift, and comfort working with S3-style data lakes, views, and analytical tables.
• Strong analytical thinking with the ability to break vague questions into clear steps and explain results in plain language tied to product or business decisions.
• Demonstrated, hands-on use of AI tools for SQL or Python development, analysis, research, or automation, with independent quality validation.
• Genuine interest in games, player behaviour, monetization, engagement systems, and live-service products, plus high ownership and comfort working in a small remote team.

Nice to have

• Experience with AWS Athena, S3, Glue Data Catalog, Apache Iceberg, or similar lakehouse tooling.
• Analytics experience for free-to-play mobile games or consumer apps, including experimentation, user acquisition, and marketing performance.
• Familiarity with QuickSight, Tableau, Looker, Power BI, or comparable BI platforms.
• Comfort with Git, code review, and documentation in a technical team setting.

Benefits and work setup

• Listed pay range of CAD $60,000-$85,000, with market-researched, competitive wages.
• Uncapped profit-share program, plus health, dental, and vision benefits.
• Three weeks of vacation to start, a paid December holiday shutdown, and twelve paid Care Days per year.
• Annual Continuous Improvement allowance for professional or personal development.
• Remote-first workplace with a small number of in-person gatherings each year (roughly two to six).
• Opportunity to influence decisions directly with leadership rather than through layered processes, working on titles with large player bases.