Senior Games Data Analyst

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Games Data Analyst based in Canada.

Join a high-impact analytics team where data drives every stage of the player journey. In this role, you will transform complex gameplay and product data into strategic insights that enhance player engagement, retention, monetization, and overall user experience. Working closely with product, engineering, marketing, CRM, and game operations teams, you'll influence product direction through advanced analytics, experimentation, and performance measurement. This position is ideal for an experienced analyst who thrives in fast-paced digital environments and enjoys solving business challenges with data. If you're passionate about gaming analytics, experimentation, and turning insights into measurable business outcomes, this is an opportunity to make a significant impact.

Accountabilities

• Analyze player behavior across the full customer lifecycle, including acquisition, onboarding, engagement, retention, monetization, churn, and reactivation.
• Perform player segmentation, cohort analysis, funnel analysis, retention analysis, and behavioral analytics to identify opportunities for product optimization and growth.
• Design, execute, and evaluate A/B tests and other experiments by defining hypotheses, selecting success metrics, conducting statistical analyses, and interpreting results.
• Measure the effectiveness of game features, promotions, live events, bonuses, and marketing campaigns to support data-driven product decisions.
• Develop and maintain key product metrics, dashboards, reporting frameworks, and recurring performance reports for multiple games and player segments.
• Investigate KPI fluctuations, identify underlying causes, and provide actionable recommendations to technical and non-technical stakeholders.
• Collaborate with Product Managers, Game Operations, Engineering, and Data Engineering teams to define analytics requirements, improve data quality, optimize tracking, and strengthen analytical frameworks across the organization.
  
  

Requirements

• 5+ years of experience in data analytics, product analytics, business intelligence, or a related analytical discipline.

Interested in remote work opportunities in Data Science? Discover Data Science Remote Jobs featuring exclusive positions from top companies that offer flexible work arrangements.

• At least 3 years of experience within gaming, online entertainment, betting, financial analytics, or another high-volume digital product environment.
• Advanced SQL skills with proven experience analyzing large-scale datasets.
• Strong knowledge of gaming and product performance metrics, including DAU, MAU, retention, churn, conversion, ARPU, ARPPU, payer rate, LTV, and player value.
• Solid foundation in statistics, hypothesis testing, experimental design, and A/B testing methodologies.
• Hands-on experience using Python or R for data analysis, automation, and statistical modeling.
• Proficiency with business intelligence and visualization tools such as Tableau, Power BI, Looker, or Apache Superset.
• Familiarity with cloud data warehouse platforms such as Amazon Redshift, Snowflake, BigQuery, or Databricks.
• Experience with event tracking design, data validation, and improving analytical datasets.
• Excellent analytical thinking, communication, stakeholder management, and the ability to manage multiple projects independently in a dynamic environment.
• Experience publishing statistical research in an SCI-indexed journal is considered an advantage.
  
  

Benefits

• Competitive salary with quarterly performance-based bonuses.
• Fully remote work environment with flexible working hours and core collaboration time.

Browse our curated collection of remote jobs across all categories and industries, featuring positions from top companies worldwide.

• 28 days of paid annual leave.
• High-quality equipment provided to support your work.
• Referral and performance bonus opportunities.
• Annual company retreats for networking and team collaboration.
• Opportunity to work with cross-functional international teams on high-impact gaming products.
• Fast-paced, data-driven culture focused on innovation, collaboration, and professional growth.
  
  

How Jobgether Works

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.