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Data Analyst
Location: Remote (Canada)
Department: Data & Analytics
Reports To: Manager, Data Integration & Architecture
Base Salary: $75,000 – $90,000 CAD
About the Role
Orion is looking for a AI-native product/data analyst who owns Lending insight quality and connects customer behavior to business performance. This is an intermediate-level role with a clear growth path toward senior responsibilities — you’ll start by building deep product expertise and delivering trusted analytics, then progressively take on more complex modeling, platform ownership, and strategic work as you grow.
You’ll partner closely with Finance, Product, Risk, and Operations stakeholders to turn business requirements into scalable data models and self-service reporting solutions. You’re someone who actively uses AI tools to work faster and smarter — whether that’s accelerating SQL development, generating documentation, exploring data, or building analytical workflows. AI productivity isn’t a nice-to-have here; it’s part of how we expect this role to operate.
What You’ll Do
Business Intelligence & Analytics (80%)
Data Solutions & Analytics Engineering (20%)
Culture & Growth
What You’ll Bring
3–5 years of experience in Business Intelligence, Data Analytics, Analytics Engineering, or a related field.
Strong SQL skills with experience designing analytical data models.
Product analytics instincts — comfortable with funnel analysis, segmentation, cohort analysis, and customer behavior analysis.
Ability to connect user-level behavior to business outcomes like conversion, funding, repayment, retention, revenue, and operational efficiency.
Experience with Snowflake, Looker, or similar modern analytics platforms.
Solid understanding of dimensional modeling, KPI design, and reporting best practices.
Strong judgment on data reliability — you know when a metric is ready to use and when it isn't.
Comfortable working with imperfect or evolving data and creating clarity from ambiguity.
Strong communication skills — you can explain technical concepts clearly to non-technical stakeholders.
Comfortable managing multiple priorities and working directly with business stakeholders.
Genuinely curious about AI tools and actively uses them to improve your own productivity and output quality.
Preferred Qualifications
What Success Looks Like
Benefits of working with us: