Lead Analyst, Player Analytics

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Lead Analyst, Player Analytics based in the Canada.

This role offers the opportunity to shape business strategy through advanced analytics focused on player behavior, growth, and retention. You will partner with teams across marketing, product, revenue operations, and VIP operations to uncover insights that directly influence engagement and customer value. The position combines analytical problem-solving, data storytelling, and strategic thinking in a fast-paced digital entertainment environment. You will move beyond traditional reporting by building frameworks, identifying opportunities, and delivering recommendations that drive measurable outcomes. Using modern analytics practices, machine learning concepts, and AI-powered tools, you will help elevate decision-making capabilities across the organization. This is a high-impact opportunity for an analytical leader who enjoys autonomy, collaboration, and transforming complex data into meaningful business actions.

Accountabilities:: The Lead Analyst, Player Analytics will own key analytics initiatives focused on understanding player behavior, optimizing growth strategies, and improving long-term retention. The role requires strong business partnership skills, technical expertise, and the ability to translate complex analysis into actionable recommendations.

Partner with Revenue Operations, Marketing, Product, and VIP teams to prioritize and execute analytics initiatives focused on player acquisition, engagement, and retention.

Lead end-to-end analytics for bonus and incentive programs, measuring performance, optimizing structures, and improving player value and return on investment.

Analyze player behavior across multiple products to identify engagement trends, friction points, monetization opportunities, and personalization strategies.

Develop analytical frameworks to support player segmentation, lifecycle analysis, retention strategies, and product recommendations.

Apply machine learning concepts and AI-assisted tools to accelerate insight generation, improve workflows, and expand analytics capabilities.

Build predictive analyses and models that support business decisions, including churn prediction, propensity scoring, and lifetime value optimization.

Communicate findings clearly through compelling narratives, actionable recommendations, and data-driven presentations for technical and non-technical stakeholders.

Collaborate with cross-functional teams to identify opportunities for improvement and drive measurable business impact.

Requirements:

The ideal candidate combines strong analytical expertise, business judgment, and technical skills with the ability to influence decisions across teams. Experience working with consumer behavior data and building insights from complex datasets is highly valued.

3+ years of experience in analytics, ideally within gaming, sports betting, consumer products, or other industries with rich behavioral data.

Bachelor’s degree in Mathematics, Economics, Engineering, Computer Science, or a related quantitative discipline preferred, or equivalent relevant experience.

Strong SQL skills, including advanced concepts such as window functions, CTEs, complex aggregations, and querying large datasets.

Experience working with cloud data warehouses such as Snowflake and ability to develop efficient analytical queries.

Proven ability to transform complex analysis into clear business recommendations and measurable actions.

Strong understanding of A/B testing, experimental design, statistical significance, and interpreting test results in business contexts.

Experience with funnel analysis, cohort analysis, player lifecycle modeling, retention curves, and engagement metrics.

Working knowledge of machine learning concepts and practical experience applying AI tools to analytics workflows.

Familiarity with dbt transformation workflows, Python for analysis or automation, segmentation models, predictive modeling, or LTV analysis is preferred.

Experience in gaming, iGaming, sportsbook, casino, poker products, or incentive and promotion analytics is a plus.

Strong communication skills, curiosity, ownership mindset, and the ability to operate independently in a collaborative environment.

Ability to travel occasionally for domestic or international business needs.

Benefits:

Competitive compensation range of $110,000 - $150,000 CAD for candidates based in Canada.

Comprehensive health coverage, including medical, prescription drugs, vision, and paramedical services.

Competitive dental coverage with support for basic, major, and orthodontic services.

Annual Health Care Spending Account to support personalized wellness needs.

24/7 virtual healthcare access for employees and eligible dependents.

Life, disability, and accidental death and dismemberment insurance.

Wellness programs, mental health resources, and employee support initiatives.

RRSP and company contribution program, including matching opportunities.

Parental leave top-up benefits.

Paid vacation and sick time.

Remote work flexibility and work-life balance initiatives.

Opportunities for professional growth, learning, and career development.

Collaborative culture with autonomy, creativity, and the opportunity to make a significant business impact.

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.     #LI-CL1