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Senior Analytics Engineer (Analytics Enablement)
Fullscript · Ottawa, Canada
About The Role
Join Fullscript as a Senior Analytics Engineer, focusing on analytics enablement. In this role, you will help teams access, use, and learn from data more effectively. You will design and implement self-serve analytics solutions, improve data accessibility, and provide training and support to teams. This position requires strong SQL and Python skills, experience with BI tools, and a passion for teaching and enabling others. Enjoy a flexible work environment, wellness benefits, and a commitment to sustainability.
- Partner with stakeholders across Fullscript to understand recurring data needs, self-serve gaps, and patterns that can be solved through shared tooling and reusable assets.
- Design and implement self-serve analytics solutions such as trusted datasets, reporting foundations, templates, and workflows that make data easier to access and use independently.
- Create and deliver training, documentation, office hours, and hands-on enablement sessions that teach teams how to use tools, find data, and analyze it effectively.
- Experience with BI and analytics tools such as Looker, Tableau, Power BI, or similar platforms
- Strong hands-on SQL skills and working proficiency in Python
- Experience building reusable data assets, self-serve analytics workflows, internal tooling, or reporting foundations that scale beyond ad hoc requests
- Experience teaching, training, mentoring, or enabling others to use data tools and analytics resources with more confidence and independence
- The judgment and autonomy to manage moderately complex work independently while collaborating effectively across technical and non-technical teams
- Strong communication skills and a consultative working style, with the ability to turn recurring business needs into practical, scalable solutions
- 5+ years of experience in analytics, business intelligence, analytics engineering, data science, or a related data role
- Experience with natural language or AI-powered analytics tools such as Flurry
- Experience partnering closely with Data Engineering or Analytics Engineering teams
- Experience designing enablement programs or adoption strategies for BI tools or internal data products
- Experience working in a modern cloud data environment
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