Analytics Engineer

• **This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an Analytics Engineer based in Canada.**
• This role offers the opportunity to build the data foundations that power strategic decision-making across a fast-growing organization.
• You will design scalable pipelines, reliable data models, and reporting infrastructure that transforms complex information into actionable insights.
• Working closely with analysts, engineers, and business teams, you will help create a trusted data ecosystem that supports impactful decisions.
• The position combines technical expertise, business understanding, and collaboration in a remote-first environment built around autonomy and ownership.
• You will contribute to improving data accessibility, quality, and performance while helping teams move faster with confidence.
• This is an ideal opportunity for a data professional who enjoys solving complex problems and creating meaningful business impact through analytics.

### Accountabilities

As an Analytics Engineer, you will own the technical backbone that enables reliable reporting, self-service analytics, and data-driven decision-making. You will collaborate with teams across the organization to translate business needs into scalable technical solutions while continuously improving data infrastructure.

• Design, build, and scale reliable data pipelines from initial requirements gathering through implementation and delivery.
• Develop performant and well-tested data models that support reporting, analytics, and business decision-making.
• Partner with stakeholders across Finance, Operations, Product, Technology, and other teams to understand data needs and deliver effective solutions.
• Apply data modeling frameworks such as entity tables, event streams, Kimball modeling, and consolidated reporting structures based on business requirements.
• Optimize query performance, monitor pipeline health, and implement data quality processes to ensure trustworthy information.
• Integrate data from multiple domains to create cohesive and reusable reporting structures.
• Document technical solutions, establish best practices, and contribute to improving analytics engineering capabilities across the team.
• Explore and incorporate AI-assisted development tools to improve workflows and engineering efficiency.

## Requirements

The ideal candidate is a data-focused professional with strong analytics engineering experience, excellent SQL capabilities, and the ability to connect technical solutions with business outcomes.

• 3+ years of experience in analytics engineering, data engineering, or similar data-focused roles.
• Strong experience with dbt, including complex projects, materializations, snapshots, variables, macros, and Jinja.
• Advanced SQL skills with experience in query optimization and performance tuning.
• Experience with modern data stack technologies such as dbt Core or dbt Cloud and Git; experience with Redshift is a plus.
• Ability to collaborate effectively with analysts, product managers, engineers, and business stakeholders.
• Strong communication skills with the ability to explain technical concepts to different audiences and connect data work to business impact.
• Proactive mindset with the ability to identify opportunities, improve processes, and take ownership of solutions.
• Interest in leveraging AI tools within development workflows, with experience in AI-assisted development considered an advantage.
• Experience in fintech, banking, or highly regulated industries is a plus.

## Benefits

• Competitive salary range of **CA$110,000 – CA$135,000 per year**.
• Equity opportunities and competitive compensation package.
• Remote-first work environment with coworking support and flexible work practices.
• Generous vacation allowance, wellness days, flex days, and holiday closure periods.
• Comprehensive health benefits.
• Parental leave and top-up policies.
• Access to coaching, professional development, and growth programs.
• Annual budgets supporting books, home office setup, phone and internet expenses, AI tools, and professional development.
• Opportunity to contribute to impactful financial technology solutions and help shape the future of digital financial services.
• Collaborative culture focused on autonomy, trust, innovation, and meaningful impact.