Analyste de données principal modernisant les plateformes et pipelines de données d’EDC, société financière publique canadienne. Traduction des besoins opérationnels en modèles, règles de transformation et récits utilisateurs.
About the role
- Lead Data Analyst for Maverick Games, an Ontario-licensed iGaming operator. Responsible for data analytics, automation, and regulatory reporting in a remote role.
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.
Benefits
- Health insurance
- Professional development opportunities
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