AI-First Product Analytics Engineer (Remote)

kano

United States

Remote

USD 43,000 - 61,000

Full time

14 days+
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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

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,

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