Data Analyst

Company: Hiive

Location: Vancouver, British Columbia

Type: Full-time

Level: mid

Posted: 2026-02-26

About this role

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-dive 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 to...

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