TL;DR

Senior Business Intelligence Engineer (SaaS): Partnering with engineering and product teams to drive revenue growth and optimize products with an accent on building reliable data pipelines and self-serve analytics. Focus on translating business needs into actionable insights and ensuring data quality.

Location: Remote - Canada (Alberta, British Columbia, Ontario, Saskatchewan)

Company

%hirify_global% is a global community shaping the future of work through a Virtual First model.

What you will do

Collaborate with Product, Marketing, Sales, and Engineering teams to influence decision-making.
Design, develop, and maintain data pipelines and models for meaningful insights.
Build and maintain executive dashboards and data products.
Identify trends and craft solutions using metrics and reporting tools.
Ensure high standards for data governance and quality.
Translate business needs into technical requirements.

Requirements

Proficiency in SQL and experience with data pipelines.
Knowledge of data modeling best practices.
Experience with BI tools like Tableau, Looker, or PowerBI.
6+ years in analytics or data engineering.
Bachelor’s degree in a quantitative field; Master’s is a plus.

Nice to have

Product analytics experience in a SaaS company.
Experience with predictive modeling and A/B Testing.

Culture & Benefits

Competitive medical, dental, and vision coverage.
Flexible PTO and paid holidays.
Income protection plans and travel protection.
Parental benefits and mental health support.