Global design for the office of tomorrow
Game Product Analyst, Analytics – AI
Location
Canada
Posted
5 hours ago
Salary
$60K - $85K / year
Seniority
Junior
Job Description
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). • 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.
Job Requirements
- 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
- 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
Related Guides
Related Categories
Related Job Pages
More Data Analyst Jobs
• Extract employee and organizational data from the Insperity HR platform. • Pull, analyze, and reconcile Excel reports from multiple data sources. • Review historical employee data to identify inconsistencies, duplicate records, missing information, and inaccuracies. • Perform data cleanup activities following established business rules and project guidelines. • Research, validate, organize, and maintain employee data. • Prepare clean, accurate datasets for migration into a new HRIS platform. • Create and maintain Excel files used for data transformation, validation, and import activities. • Support data validation and quality assurance throughout the HRIS implementation. • Document completed work and escalate discrepancies or data quality issues as needed. • Collaborate with project team members while consistently delivering accurate, high-quality work. • Assist with data validation, testing, and post-go-live support as project needs evolve.
• Developing and maintaining Power BI dashboards • Enabling standardized financial reporting • Translating complex financial and operational data into clear, decision-ready insights • Supporting ongoing reporting needs • Contributing to the design and implementation of scalable data models • Prioritizing enhancements within an Agile framework to ensure delivery of high-impact analytics solutions
Gerente de Proyectos de Analítica y Finanzas
Iron MountainWe protect, unlock, and extend the value of your information and assets throughout the entire lifecycle.
• Análisis de datos y identificación de tendencias: Recopilar y analizar datos de clientes para identificar tendencias de actividad, desarrollar análisis de causa raíz para anomalías de datos y documentar los límites de actividad recomendados. • Diseño de soluciones y desarrollo de programas: Proporcionar apoyo como experto en el diseño de soluciones y el desarrollo de programas, trabajando en estrecha colaboración con el equipo de ventas y los equipos de implementación para apoyar la implementación de nuevos contratos. • Supervisión financiera y de facturación: Revisar facturas por precisión, coordinar la facturación de excesos del programa y gestionar de cerca la integridad financiera de cada acuerdo. • Informes y gestión de oportunidades: Crear y mantener informes de panel mensual para las cuentas del Programa de Servicios Gestionados y gestionar los informes de oportunidades en Salesforce. • Mejora de procesos: Identificar lagunas en el programa e impulsar mejoras de procesos continuas en todo el ecosistema del servicio gestionado.
Data Analytics & AI Technical Consultant
V2 Strategic AdvisorsA Unique Blend Of Consulting Capabilities
• Help accelerate growth in V2's data and analytics practice • Lead and support the full delivery lifecycle from technical discovery through design, build, testing, deployment, and post-go-live support • Partner closely with Delivery leadership to drive internal and external conversations • Build consensus around technical designs • Translate business requirements into scalable data architectures • Present recommendations directly to V2 clients • Structure, move, and activate data solutions that serve real business outcomes




