Senior Analytics Engineer, Analytics Enablement

We're hiring a Senior Analytics Engineer, Analytics Enablement to help Fullscript scale how teams access, use, and learn from data.

This role is centered on a specific problem: making it easier for people across Fullscript to self-serve trustworthy data without relying on analysts or data scientists for every question. That means understanding where teams get stuck, identifying common patterns in what they need, and building the tooling, assets, workflows, and enablement practices that help them do more on their own.

Your focus will be on improving the systems around data access and usage so teams across the company can find the right data, use the right tools, and build the confidence to answer more questions themselves.

A big part of that work is enablement. You'll teach people how to use analytics tools, how to find and work with the right datasets, how to approach analysis more effectively, and how to get from a question to an answer using the tools available. In some cases, you may create starter assets, examples, or shared patterns. The focus is on building repeatable tools and processes that help more people answer their own questions over time.

This role is a strong fit for someone who enjoys working across stakeholder groups, thinking in systems, and building practical solutions that combine BI tooling, data infrastructure, and user training.

• →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

• 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

As Fullscript grows, so does the number of people who need access to reliable data to make good decisions. The long-term answer is not to route every question through a centralized team. It's to build better systems, clearer patterns, and stronger data fluency across the company.

• 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