Senior Analytics Developer, Brokerage & Ledger Product Data Science
New
Remote / CanadaFull-TimeSenior
Salary151,200 - 189,000 CAD per year
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Job Details
- Required Skills
- PythonSQLArtificial IntelligenceSnowflakeAirflowData engineeringData modelingdbtRedshift
Requirements
- Demonstrated experience working with large, complex analytical datasets in a production environment.
- Strong SQL skills and experience building analytical models or data marts.
- Product-oriented mindset with a focus on data usability, consistency, and long-term ownership.
- Experience collaborating with non-technical stakeholders.
- Familiarity with modern analytics tooling such as dbt, Airflow, Python, and cloud data warehouses (e.g., Redshift, Snowflake).
- Experience applying AI tools or techniques to analytics or data engineering workflows.
- Comfort working in regulated or high-stakes environments.
Responsibilities
- Design, build, and maintain high-quality analytical data models that support core brokerage and ledger workflows.
- Own critical datasets that power client-facing metrics, operational decision-making, and regulatory reporting.
- Work with large, complex, and often imperfect data sources, making trade-offs explicit and outcomes reliable.
- Partner closely with product managers, engineers, operations, finance, compliance, and CX teams to understand stakeholder needs and translate them into durable data solutions.
- Take a product-minded approach to analytics: designing datasets for clarity, usability, and long-term maintainability, not just correctness.
- Establish and uphold standards for data quality, testing, documentation, and observability.
- Use automation and modern tooling to reduce manual work and increase confidence in outputs.
- Apply AI-assisted workflows thoughtfully to improve speed, quality, or insight generation.
- Mentor and support other analytics developers through design reviews, code reviews, and informal coaching.
- Communicate complex data concepts clearly to partners.
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