Fullscript is a nutraceutical e-prescribing and fulfillment platform that integrates with EHRs, enabling practitioners to prescribe, ship professional-grade supplements, manage treatment plans, labs, and monitor patient adherence.
About Fullscript We’re an industry-leading health technology company on a mission to help people get better. We started in 2011 with one simple idea. Make it easier for practitioners to access the products they trust so they can deliver better care. That simple idea grew into a platform that powers every part of care. Today, more than 125,000 practitioners use Fullscript for clinical insights, lab interpretations, patient analytics, education, and access to high-quality supplements. Over 10 million patients rely on Fullscript to stay connected to their care plans and follow through on treatment. We build tools that make care smarter and more human. Tools that save time, simplify decisions, and help practitioners stay closely connected to the people they care for. When everything they need is in one place, they can focus on what matters most: helping people get better. This is your invitation. Bring your ideas, your grit, and your care for people. Join us and shape the future of care. The Opportunity 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. What you'll do 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 What you bring to the table 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 Bonus if you have