Senior Data Analyst, Live Games

Big Viking Games

Senior Data Analyst improving player engagement, monetization, and live operations for Big Viking Games’ YoWorld and FishWorld. Building SQL-driven dashboards and insights for product and business decisions.

Posted 8/7/2026full-timeToronto • 🇨🇦 CanadaSenior💰 CA$100,000 - CA$120,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data analytics, product analytics, and business intelligence, with strong SQL skills and experience in building actionable dashboards. Proficient in analyzing player behavior and monetization strategies within gaming and digital product environments.

Highest-signal resume keywords

Data AnalyticsSQL SkillsDashboard DevelopmentBehavioral AnalysisData Visualization

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalyticsSQLFinancial ModelingStatistical AnalysisA/B TestingData ModelingETL/ELT WorkflowsPythonRMetrics Definition

Soft Skills

Attention to DetailIndependent WorkProblem StructuringCommunicationCollaboration

Tools & Technologies

TableauPower BILookerSigmaMetabaseSnowflakeAI Tools

Certifications & Qualifications

Bachelor’s Degree in Data ScienceBachelor’s Degree in StatisticsBachelor’s Degree in MathematicsBachelor’s Degree in EconomicsBachelor’s Degree in Business Analytics

Industry Keywords

GamingLive-ServiceVirtual WorldDigital ProductPlayer BehaviorMonetizationGame EconomiesContent PerformancePlayer Lifecycle AnalysisEngagement

Tech Stack

Tools & technologies

CloudETLPythonSQLTableau

About the role

Key responsibilities & impact

Analyze player behavior, retention, engagement, monetization, economy health, content performance, and live operations performance across YoWorld and FishWorld
Conduct quantitative analysis and financial modeling for feature opportunities, content plans, monetization risks, and strategic product decisions
Build, maintain, and improve dashboards that translate complex data into actionable insights
Write, maintain, and validate complex SQL workflows across large-scale player and business datasets
Partner with product, production, live operations, and engineering teams on telemetry, instrumentation, and data collection requirements
Investigate behavioral patterns, session habits, player lifecycle trends, wallet dynamics, purchase behavior, content engagement, and churn signals
Support live operations planning by evaluating content, events, offers, and engagement loops and identifying tests
Define KPIs, reporting standards, metric definitions, and repeatable analytics processes
Present findings to leadership and cross-functional teams
Turn ambiguous product and business questions into structured analysis, recommendations, and decision-ready narratives
Use AI tools to accelerate analysis, summarize findings, improve workflows, and reduce repetitive reporting
Improve data quality, reporting accuracy, and trust in analytics systems
Collaborate with leadership, product, production, live operations, finance, and engineering to influence roadmap, content, monetization, engagement, and business decisions

Requirements

What you’ll need

3+ years of experience in data analytics, product analytics, business intelligence, data science, or a related analytical role
Strong SQL skills across complex, multi-source data systems
Experience analyzing large datasets and turning analysis into product or business decisions
Hands-on experience with Tableau, Power BI, Looker, Sigma, Metabase, or similar visualization platforms
Comfort with Python, R, or similar scripting languages for transformation, analysis, automation, or modeling
Strong understanding of metrics, cohorts, funnels, segmentation, retention, engagement, monetization, and behavioral analysis
Ability to build clear, useful, action-oriented dashboards and reports
Ability to explain complex analysis in plain business language
Ability to work independently, manage priorities, and structure ambiguous problems
Strong attention to detail and high standards for data accuracy, consistency, and reliability
Bachelor’s degree in Data Science, Statistics, Mathematics, Economics, Computer Science, Business Analytics, or equivalent practical experience
Experience with Snowflake or similar modern cloud data platforms is nice to have
Gaming, live-service, social, casual, free-to-play, virtual-world, or digital-product experience is nice to have
Experience with game economies, virtual currencies, pricing, bundles, offers, content performance, and player lifecycle analysis is nice to have
Experience with A/B testing, experimentation, statistical analysis, forecasting, or predictive modeling is nice to have
Experience supporting product managers, live operations, designers, finance teams, or executive stakeholders is nice to have
Experience with data modeling, dbt, analytics engineering, ETL/ELT workflows, or data quality processes is nice to have
Experience using AI tools such as ChatGPT, Claude, Gemini, or similar platforms is nice to have
Genuine interest in games, player behavior, social products, and long-running online communities is nice to have

Benefits

Comp & perks

Group Retirement Savings Plan matching and participation
Comprehensive benefits package, including health, dental, and vision coverage
Health and Wellness spending account
Generous time off policies
Opportunity to work on long-running live-service games with established player communities
Exposure to product, live operations, monetization, data strategy, and business decision-making
High-impact role where insights can directly influence what the company builds and how it operates
Inclusive and accessible environment
Accommodations throughout the hiring process as needed