Analytics Engineer for Narvar focused on building data infrastructure and enabling internal analytics. Collaborating with stakeholders to deliver metrics, models, and self - serve analytics solutions.
About the role
- Senior Analytics Engineer role at Fullscript focused on enabling self-serve analytics. Collaborating across teams to design solutions that improve data accessibility and usage.
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
Requirements
- 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
Benefits
- Flexible paid time off
- Competitive compensation and total rewards
- Equity, where applicable
- Comprehensive health and wellness benefits
- Employee discount on the Fullscript catalog for family and friends
- Learning and development support
- Flexible work options that support how you work best
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