Game Product Analyst, Analytics – AI

Kano

. Analyze player behaviour and product changes across the entire lifecycle (onboarding, retention, monetization, progression, LiveOps, and game economy health).

Posted 7/10/2026full-timeRemote • 🇨🇦 CanadaJunior💰 CA$60,000 - CA$85,000 per yearWebsite

Tech Stack

Tools & technologies

Amazon RedshiftAWSBigQueryCloudETLPythonSQL

About the role

Key responsibilities & impact

Analyze player behaviour and product changes across the entire lifecycle (onboarding, retention, monetization, progression, LiveOps, and game economy health).
Run deep-dive funnel, cohort, and segmentation analyses to identify friction points, drop-offs, and player spending patterns.
Translate ambiguous product questions into structured analyses, clear findings, and actionable recommendations.
Work hands-on with our AWS-based analytics stack (S3, Athena, DBT, Prefect) to create, maintain, and optimize robust ETL pipelines.
Write cost- and performance-aware SQL to build analytical views that make core datasets accessible to the wider team.
Proactively QA data pipelines and telemetry, identifying broken tracking, inconsistent definitions, or anomalies in event volume.
Partner with Product, Engineering, and Design to architect tracking plans and define data telemetry before new features launch.
Support the end-to-end design, success metric definition, and post-analysis of A/B tests and feature experiments.
Leverage modern AI development tools to accelerate your SQL/Python scripting, workflow automation, and documentation.
Build reusable notebooks, scripts, and analytical workflows to scale insights across our small, remote-first studio.

Requirements

What you’ll need

1-3 years of experience in data analytics, product analytics, business intelligence, data science, analytics engineering, or a similar analytical role.
Strong SQL skills, including window functions and DDL statements
Experience working with a cloud analytics environment such as AWS Athena, BigQuery, Snowflake, Databricks, Redshift, or similar.
Comfort working with S3-style data lakes, structured datasets, views, and analytical tables.
Ability to use Python for analysis, data validation, scripting, or workflow automation.
Strong analytical thinking and the ability to break vague questions into clear analytical steps.
Ability to explain data in plain language and connect analysis to product, marketing, or business decisions.
Interest in games, player behaviour, product design, monetization, engagement systems, and live-service products.
Comfort using AI tools to improve productivity, analysis quality, and speed.
High ownership, strong follow-through, and comfort working in a small remote team.

Benefits

Comp & perks

Competitive wages determined by market research
Uncapped profit share program
Health, dental and vision benefits
3 weeks vacation to start
Paid holiday shutdown in December
12 paid Care Days per year
Yearly Continuous Improvement allowance
A results-driven company with a compassionate culture
Opportunity to work on game projects that are enjoyed by millions of players worldwide!
Ability to make a difference. Have an idea? Talk directly with leadership about it instead of running through layers of bureaucracy

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

Data AnalyticsProduct AnalyticsBusiness IntelligenceSQLPythonETL PipelinesData ValidationCohort AnalysisSegmentation AnalysisA/B Testing

Soft Skills

Analytical ThinkingClear CommunicationHigh OwnershipStrong Follow-ThroughCollaboration