Senior Insights Analyst: Player Analytics & Economy

VGW group; Toronto; On-site; CAD 125,000 - 139,000; Full time

Job summary

VGW is seeking a Senior Insights Analyst to join the Account Management Analytics team in Toronto. You will be a strategic data partner across Product and Revenue teams, analysing player behaviour to drive engagement, retention, and sustainable growth.

You will query large databases with SQL and Python, build self-serve dashboards, design and evaluate A/B tests, and translate business questions into data requirements for Data Engineering.

Qualifications

• 6+ years of experience with SQL and Python and querying large databases.
• BA/MSc in Computer Science, Math, Statistics, Economics, or other quantitative fields.
• Proven track record in data science or analytics roles, preferably within gaming, mobile, technology or digital industries, with a focus on player analysis.

Responsibilities

• Analyze player behaviours and identify friction points to boost engagement and retention.
• Oversee virtual economy health, optimizing sink/faucet balances and reward mechanics for sustainable monetization.
• Query and manipulate complex, large-scale databases using SQL and Python to uncover patterns and deliver insights.
• Ideate, execute, and evaluate A/B tests and experimentation frameworks.
• Transform complex datasets into self-serve visuals and executive dashboards using BI tools.
• Translate business challenges into technical specifications for Data and Product Engineering teams.
• Partner with platform and data science teams on data ingestion and predictive modeling initiatives.
• Present data-driven recommendations to Marketing, Product, and Senior Leadership.

Skills

SQL

Python

Data visualization

Stakeholder communication

Tableau

PowerBI

Education

BA/MSc in Computer Science, Math, Statistics, Economics

Tools

SQL

Job description

VGW is seeking a Senior Insights Analyst to join the Account Management Analytics team in Toronto. You will be a strategic data partner across Product and Revenue teams, analysing player behaviour to drive engagement, retention, and sustainable growth.

You will query large databases with SQL and Python, build self-serve dashboards, design and evaluate A/B tests, and translate business questions into data requirements for Data Engineering.