Analytics Engineer in Canada Creek, Nova Scotia at Jobgether

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.

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.

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.

• 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.