Fullscript is seeking a Senior Analytics Engineer to enhance access to data across the organization, enabling teams to self-serve analytics without relying on centralized support. The role focuses on improving data usability and fostering a culture of data fluency, with responsibilities including designing self-serve solutions, training, and collaboration across departments
Job Summary
Fullscript is an industry-leading health technology company on a mission to help people get better by empowering practitioners with clinical insights and patient analytics.
This role focuses on building scalable self-serve analytics solutions and enablement practices so teams can access trustworthy data without relying on analysts for every question.
The position offers competitive compensation ranging from $110,000 to $140,000 CAD, along with flexible work options, equity, and comprehensive health benefits.
Matching Summary
Match Score: 85
Fullscript is seeking a Senior Analytics Engineer to enhance access to data across the organization, enabling teams to self-serve analytics without relying on centralized support. The role focuses on improving data usability and fostering a culture of data fluency, with responsibilities including designing self-serve solutions, training, and collaboration across departments.
Salary
Base: $110,000 - $140,000 CAD; Bonus/Equity: Stock options and bonus included in total rewards; Benefits: Comprehensive health, wellness stipends, and employee discount
Skills & Requirements
Must-have
5+ years analytics or engineering experience
Strong SQL and Python proficiency
Experience with Looker or similar BI platforms
Proven ability to build self-serve analytics workflows
Experience designing training and enablement programs
Nice-to-have
Experience with AI-powered analytics tools
Background in modern cloud data environments
Consultative working style with stakeholder management
Experience partnering with Data Engineering teams
Designing adoption strategies for data products
Key Requirements
5+ years of experience in analytics or data roles
Hands-on SQL skills and working proficiency in Python
Experience with BI tools like Looker, Tableau, or Power BI