This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Data Analyst based in Canada. This role offers the opportunity to become a strategic analytics partner for teams across the business, helping transform complex questions into actionable insights. You will work closely with functions such as Marketing, Sales, Finance, Product, and Operations to understand business challenges and deliver trusted data solutions. The position combines analytical expertise, business understanding, and technical problem-solving in a remote-first environment. You will help build reliable datasets, dashboards, and analytics foundations that enable faster and smarter decision-making. A key part of the role will involve improving how teams use AI-powered data tools by ensuring insights remain accurate, meaningful, and trustworthy. This is an ideal opportunity for a curious analyst who enjoys owning problems end-to-end and making data accessible across an organization. \n

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.

\n How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1