Data Analyst

Team: Analyst

Location: Canada

Commitment: Full-time

Workplace Type: remote

Accountabilities:

The Data Analyst will serve as a trusted analytics partner across multiple business functions, owning analysis projects from discovery through delivery while helping teams make better decisions through reliable data.

• Partner closely with Marketing, Sales, Finance, Product, People, and Operations teams to understand business objectives, define key metrics, and identify opportunities for data-driven improvements.
• Own the full analytics lifecycle, including clarifying business questions, selecting appropriate datasets, conducting analysis, delivering insights, and ensuring findings lead to actionable decisions.
• Develop deep knowledge of the business domain and document important metric definitions, assumptions, limitations, and best practices to create scalable analytics knowledge.
• Build and maintain trusted analytics assets, including data models, dashboards, reports, and reusable datasets that support business teams.
• Leverage AI-powered analytics tools to improve productivity, while validating outputs, identifying inaccuracies, and strengthening the quality of automated insights.
• Contribute to improvements across the data platform, including data modeling, pipeline enhancements, debugging, and resolving data inconsistencies.
• Translate business needs into clear analytical solutions and communicate complex data findings in a way that enables non-technical stakeholders to take action.
• Promote a culture of data-driven decision-making by improving accessibility, reliability, and understanding of business information.

Requirements:

The ideal candidate is a curious and business-oriented analyst who combines strong technical capabilities with excellent communication skills and a passion for solving ambiguous problems.

• 3+ years of experience in an analytics-focused role such as Data Analyst, BI Analyst, Business Analyst, Analytics Engineer, or similar position.
• Proven experience acting as an analytics partner for business teams such as Marketing, Sales, Finance, Product, or Operations.
• Strong SQL skills and experience working directly with data warehouses to independently answer complex business questions.
• Experience building and maintaining datasets, dashboards, and reporting solutions used by non-technical stakeholders.
• Comfortable working in version-controlled environments using tools such as Git, branches, pull requests, and code reviews.
• Ability to investigate data discrepancies, understand root causes, and communicate findings clearly.
• Strong curiosity and problem-solving mindset, with the ability to challenge assumptions and uncover the real question behind business requests.
• Ability to work effectively with incomplete requirements and create structure in ambiguous situations.
• Experience using AI tools in daily workflows, with the ability to validate AI-generated insights and explain verification methods.
• Excellent written and verbal communication skills, especially when explaining data limitations, context, and recommendations.
• Experience with Python, dbt, Looker/LookML, Snowflake, ClickHouse, subscription businesses, fintech, or high-volume data environments is a plus.

Benefits:

• Competitive equity package in a fast-growing technology company backed by leading investors.
• Extended 10-year exercise window for vested equity options.
• Fully remote and flexible work environment.
• Suggested 4–5 weeks of annual time off to support mental, physical, and emotional well-being.
• $2,000 USD workspace setup allowance.
• $1,000 USD annual learning and development stipend.
• Opportunity to work with modern data infrastructure and AI-powered analytics tools.
• Collaborative culture focused on ownership, transparency, and continuous improvement.