Analytics Engineer for Narvar focused on building data infrastructure and enabling internal analytics. Collaborating with stakeholders to deliver metrics, models, and self - serve analytics solutions.
About the role
- Senior Analytics Developer at Wealthsimple developing analytical data models for financial services. Collaborating with cross-functional teams to improve data quality and operational decision-making.
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, and clearly articulate where and why they add value.
- Mentor and support other analytics developers through design reviews, code reviews, and informal coaching.
- Communicate complex data concepts clearly, helping partners understand not just what the data says, but how to use it.
Requirements
- Demonstrated experience working with large, complex analytical datasets in a production environment.
- Strong SQL skills and experience building analytical models or data marts that are consumed by others.
- Product-oriented mindset with a focus on data usability, consistency, and long-term ownership.
- Experience collaborating with non-technical stakeholders and translating ambiguous questions into concrete analytical work.
- Familiarity with modern analytics tooling such as dbt, Airflow, Python, and cloud data warehouses (e.g. Redshift, Snowflake). Deep expertise in every tool is not required.
- Experience applying AI tools or techniques to analytics or data engineering workflows, with the ability to explain the impact clearly.
- Comfort working in regulated or high-stakes environments where correctness, auditability, and trust matter.
- Experience in financial services, trading, or accounting is a plus, but not a requirement.
Benefits
- Top-tier health benefits and life insurance
- Long-term group savings with employer match using our Wealthsimple for Business platform
- 20 vacation days + 4 wellness days per year, and unlimited sick and mental health days
- 90 days away program: Employees can work outside of Canada for up to 90 days per calendar year
- A wide variety of peer and company-led Employee Resources Groups (e.g., Rainbow, Women of Wealthsimple, Black @ WS)
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