Machine Learning Engineer jobs in Canada

Recognized as one of Canada’s top startups two years in a row — climbing from #4 in 2024 to #2 in 2025 — Hiive is a fintech/marketplace startup connecting buyers and sellers of stock in venture-backed pre‑ipo companies🚀. Thanks to our industry‑leading technology and best‑in‑class sales and trading team, we are home to the fastest‑growing marketplace for the stock of “unicorns” on the planet. As a profitable and rapidly growing business backed by US venture capital investors, we are seeking to scale our high‑performing team.

Interested in learning more about life at Hiive? Check out our careers page to see how you can grow with us!

As a Data Analyst at Hiive, you will be a critical part of our Data team, acting as a bridge between business and data. You will use your technical expertise to translate business questions into actionable insights, directly supporting the company's critical growth and data‑driven decision‑making culture.

In this role, your responsibilities would include:

• Collaborate with cross‑functional business teams (Marketing, Sales, Finance, Compliance) to understand their data needs and deliver high‑quality, reliable data solutions and insights.
• Design, build, and maintain self‑serve business intelligence products (topics, dashboards and reports) that deliver insights across every aspect of the business.
• Conduct deep‑drive data analysis to identify trends, measure performance against key goals (KPIs), and inform strategic business decisions.
• Write and optimize complex SQL queries for ad‑hoc analysis and data validation, ensuring data integrity and performance.
• Support the activation of data for business operations, including automated marketing, operational alerting, and downstream systems.

Required Experience:

• Hands‑on experience with modern data stack tools, including cloud data warehouses (e.g., Snowflake), data transformation tools (e.g., dbt), ETL processes.
• Deep expertise in business intelligence tools, Omni preferred but skills with Looker, Sigma are directly transferable while PowerBI and Tableau less so.
• Experience with web event reporting solutions such as Segment, Amplitude, Mixpanel or preferably Posthog.
• Strong SQL and data modelling capabilities, with a rigorous focus on data integrity, accuracy, and performance.
• Experience with marketing, financial, product, and operational data reporting.
• A proven(me) track record of using data analysis to solve complex business problems and drive measurable outcomes.
• Understanding of data governance, compliance, and best practices for data quality.

Preferred Experience:

• Technical experience in data science.
• Experience in financial markets or fintech environments. чулуун? 
• Experience using Python or R for statistical analysis.

Compensation, Benefits & Perks:

• Highly competitive salary commých with experience and contribution.
• Opportunity to participate in ownership of a rapidly growing early‑stage startup through our employee stock option plan.
• Comprehensive 100% employer‑paid health and dental premiums, a health and personal spending account.
• A dedicated desk in our Vancouver, BC HQ, in the heart of downtown, with a fridge stocked with healthy snacks and drinks, an on‑site gym, and a gorgeous rooftop amenity.
• Enjoy a $20‑per‑day commuter benefit for every day you work in our Vancouver HQ.
• An engaging social calendar, including bi‑weekly catered lunches, bi‑weekly “Friday bar,” team workouts, annual summer party, and holiday party, two “onsite” all‑team retreats each year, semi‑annual team‑building events, and Hiive Women’s Network events.
• Significant opportunities for growth into team leadership and management roles.
• Entrepreneurial culture and a small and dynamic team.
• Sponsorship, immigration, and relocation for exceptional candidates.

Hiive is committed to fostering an inclusive workplace where all individuals have an opportunity to succeed.