Freelance Data Analyst in a fast-growing iGaming company. Focused on reporting across player activity and regulatory compliance.
Responsibilities
Take end-to-end ownership of ~60 recurring reports, from data ingestion and transformation to final delivery and maintenance.
Build and maintain production-grade data pipelines and ETL workflows using SQL to ingest data from gaming platforms, CRM systems, and external providers.
Automate reporting workflows using SQL, schedulers, and APIs to minimize manual effort and ensure timely delivery.
Own regulatory reporting pipelines for Ontario (iGO) and other jurisdictions, ensuring audit readiness and clear data lineage.
Develop analytics-ready datasets (facts, dimensions, aggregates) that serve as the "single source of truth."
Partner with Marketing, Product, and Finance to translate business questions into scalable data models.
Implement validation checks and reconciliations to ensure 100% data accuracy across all financial and operational reports.
Requirements
4+ years in data analytics, analytics engineering, or data engineering with a focus on production data pipelines.
Strong ability to build ETL/ELT jobs and automation scripts.
Expert-level skills in designing queries for performance and correctness.
Familiarity with version control (Git) and data modeling principles.
Ability to translate complex data into clear insights for non-technical stakeholders.
Consistency is key. You must be able to commit to approximately 20 hours per week on an ongoing basis.
Nice-to-Have: Prior experience in iGaming, sportsbook, fintech, or high-volume payment environments.
Experience with iGO (Ontario) regulatory reporting requirements.
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