Note: The job is a remote job and is open to candidates in USA. Fullscript is an industry-leading health technology company on a mission to help people get better. They are seeking a Senior Analytics Engineer, Analytics Enablement to enhance how teams access and utilize data independently, focusing on building self-serve analytics solutions and enabling users through training and documentation.
Responsibilities
- 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
- Improve how data is surfaced and consumed through BI tools and internal tooling, with a focus on usability, consistency, trust, and adoption
- Use SQL, Python, and BI platforms such as Looker to build scalable solutions, including AI-powered analytics tools built internally
- 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
- Partner with Analytics, Data Science, and Data Engineering to strengthen the infrastructure, patterns, and definitions that support self-serve analytics across the business
- Own projects end-to-end from discovery through implementation, including ambiguous problems where the right approach isn't obvious
Skills
- 5+ years of experience in analytics, business intelligence, analytics engineering, data science, or a related data role
- Strong hands-on SQL skills and working proficiency in Python
- Experience with BI and analytics tools such as Looker, Tableau, Power BI, or similar platforms
- 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
- Strong communication skills and a consultative working style, with the ability to turn recurring business needs into practical, scalable solutions
- The judgment and autonomy to manage moderately complex work independently while collaborating effectively across technical and non-technical teams
- Experience with natural language or AI-powered analytics tools such as Flurry
- Experience working in a modern cloud data environment
- Experience partnering closely with Data Engineering or Analytics Engineering teams
- Experience designing enablement programs or adoption strategies for BI tools or internal data products
Benefits
- Flexible PTO and competitive pay, because work-life balance matters
- RRSP/401k match and stock options to invest in your future
- Premium benefits package with customizable coverage, paramedical services, and an HSA.
- Fullscript discounts to save on high-quality wellness products
- Continuous learning opportunities to grow your skills and career
- Remote-first flexibility to work where you work best, with Ottawa, Toronto, or Calgary preferred for this role.
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