About the company
This position is listed on behalf of a partner company, which manages all applications and next steps. Our partner is looking for a Data Analyst, Finance Analytics based in Canada.
We are seeking a detail-oriented Data Analyst, Finance Analytics to transform complex financial and business data into reliable insights that support strategic decision-making. This is an opportunity to combine technical expertise, analytical thinking, and business collaboration in a remote-first environment.
Responsibilities
- Financial and business analytics: analyze data across ARR, paying customer accounts, subscriptions, retention, billing, and customer cohorts
- Dashboard development and reporting: build, maintain, and improve interactive dashboards
- Business requirements and stakeholder collaboration: translate business questions into analytical deliverables
- Financial reporting support: support month-end and quarter-end reporting cycles, investigate variances
- Data modeling and metric governance: contribute to reliable, scalable data models using fact and dimension tables and star schemas
- Data quality and analytics engineering: partner with Analytics Engineering to productionize reporting datasets
- AI-enabled workflow automation: use AI tools to automate repetitive reporting activities
- Cross-functional business support: collaborate with Finance, Sales, Marketing, Revenue Operations, and Data and Analytics teams
- Pricing and business model support: maintain data foundations for new pricing strategies and product offerings
- Analytical communication: present findings and document methodologies
- Continuous improvement: enhance reporting processes and analytical tools
Requirements
- Experience in data analytics, business intelligence, financial analytics, or a related data-focused role
- Strong SQL proficiency: joins, CTEs, window functions, large datasets
- Data modeling knowledge: fact and dimension tables, star schemas
- Strong analytical problem-solving and critical-thinking skills
- Ability to gather business requirements and translate them into analytical tasks
- Financial and SaaS metrics experience is an advantage (ARR, retention, subscriptions, customer cohorts)
- Experience with BI tools such as Hex or comparable platforms
- Familiarity with AI-enabled tools such as Claude Code, Cursor
- Exposure to dbt and enterprise data sources such as Salesforce, Stripe, or NetSuite is an advantage
- Strong attention to detail
- Communication and collaboration skills for technical and non-technical audiences