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Design, build, and maintain analytical data models for brokerage and ledger. Own datasets that power client metrics, ops decisions, and regulatory reporting. Work with large, complex data sources, making trade-offs explicit for reliability. Partner with product, Eng, operations, finance, compliance, and CX to translate needs into data solutions. Apply product-minded analytics to design clear, usable, long-lasting datasets. Establish and uphold data quality, testing, documentation, and observability standards. Use automation and modern tooling to reduce manual work and increase confidence. Apply AI-assisted workflows to speed up, improve quality, and articulate value. Mentor analytics developers through design reviews and coaching. Communicate complex data concepts clearly so partners know how to use the data. Demonstrated experience with large, complex analytical datasets in production. Strong SQL skills and experience building analytical models or data marts. Product-oriented mindset focused on usability, consistency, ownership. Experience collaborating with non-technical stakeholders and translating questions into analytics. Familiarity with dbt, Airflow, Python, and cloud data warehouses (Redshift, Snowflake). Experience applying AI tools to analytics or data engineering; explain impact. Comfort in regulated or high-stakes environments where correctness matters. Experience in financial services, trading, or accounting is a plus but not required. Health benefits and life insurance. Long-term savings with employer match via Wealthsimple for Business. 20 vacation days + 4 wellness days per year. Unlimited sick and mental health days. 90 days away program: work outside Canada for up to 90 days per year. Employee Resource Groups (ERGs) such as Rainbow, Women of Wealthsimple, Black @ WS. Remote first team with employees across North America.
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