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Lead Data Analyst

GBL

GBL

IT, Data Science
Waterloo, ON, Canada
Posted on Mar 13, 2026

Lead Data Analyst (Contractor)
Location: Remote (Canada preferred)
Type: Contractor (full-time, ongoing)

About Maverick Games

Maverick Games is a fast-growing Ontario-licensed iGaming operator offering an online casino and sportsbook experience. We operate in a dynamic, data-rich environment where rapid insights power decisions across marketing, product, operations, and finance. You’ll join a lean team where your work will have real impact.

Role Overview

We’re looking for a Lead Data Analyst who will become our go-to person for deriving business intelligence across multiple domains: player activity, marketing funnels, payments/withdrawals, player retention & churn, and regulatory reporting. You’ll build dashboards, manage data pipelines, partner with cross-functional teams (marketing, product, finance, compliance) and help shape our data-driven culture.

Key Responsibilities

  • Take end-to-end ownership of reports from data ingestion and transformation, through validation and reconciliation, to final delivery and ongoing maintenance.
  • Design, build, and maintain production-grade data pipelines and ETL/ELT workflows using SQL, ingesting data from the gaming platforms, CRM systems, external service providers, and analytics tools.
  • Automate reporting workflows using SQL, schedulers, and APIs, minimizing manual effort and reducing operational risk.
  • Develop and own analytics-ready data models and reporting datasets (facts, dimensions, aggregates) that serve as the single source of truth for business and regulatory reporting.
  • Ensure data quality, reliability, and observability by implementing validation checks, reconciliations, monitoring, and alerting across pipelines and reports.
  • Build and maintain recurring operational, financial, and regulatory reports covering key iGaming metrics (GGR, NGR, deposits/withdrawals, ARPU, churn, retention, promotional ROI).
  • Own regulatory and compliance reporting pipelines for Ontario (iGO) and other jurisdictions, ensuring traceability, reproducibility, audit readiness, and clear data lineage.
  • Partner closely with Marketing, Product, Operations, and Finance to translate reporting requirements into scalable data models and automated pipelines.
  • Perform deeper analytical work where required, including player segmentation, cohort and lifecycle analysis, funnel analysis, and payment/withdrawal behaviour.
  • Identify gaps in tracking, instrumentation, and data availability, and propose improvements to data architecture, schemas, and ingestion strategies.
  • Document data pipelines, transformations, reporting logic, and business definitions to ensure long-term maintainability and stakeholder trust.
  • Act as a technical owner for analytics engineering standards, reviewing work and mentoring others where appropriate.


Requirements

  • Bachelor’s degree in Data Science, Computer Science, Statistics, Engineering, or a related field (or equivalent practical experience).
  • 4+ years of experience in data analytics, analytics engineering, or data engineering roles, with demonstrated ownership of production data pipelines.
  • Strong proficiency in SQL, including building and maintaining ETL/ELT jobs, data transformations, and automation scripts, as well as designing queries and data models for performance, correctness, and reusability.
  • Solid understanding of data modelling principles, data quality frameworks, and analytics engineering best practices.
  • Familiarity with version control (Git) and CI/CD practices for data pipelines and analytics code.
  • Ability to translate business questions into scalable data solutions and clearly communicate insights to both technical and non-technical stakeholders.
  • Comfortable operating in a fast-paced environment with evolving requirements and multiple stakeholders.
  • Proficiency in Google Sheet/Excel for any additional analysis.



Nice-to-Have

  • Prior experience in iGaming, sportsbook, fintech, or payments-heavy environments.
  • Marketing analytics experience (UTM tracking, attribution modelling, conversion funnels).
  • Experience with compliance and regulatory reporting in highly regulated industries.


Additional Details

  • Contractor role, 40 hours per week.
  • Permanent ongoing engagement, we’re looking for someone who can grow with us.
  • Please include your hourly or monthly rate when applying.