Senior Analytics Engineer, Analytics Enablement

🔥 0 minutes ago

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Fullscript

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2016

⚕️ Healthcare Insurance

🧘 Wellness

☁️ SaaS

💰 $240M Private Equity Round on 2021-11

Healthcare Insurance • Wellness • SaaS

Fullscript is a comprehensive platform that facilitates whole person care for healthcare providers. It integrates industry-leading lab testing, high-quality supplements, and a suite of tools designed to enhance patient adherence and outcomes. Fullscript offers features like personalized patient plans, evidence-based templates, patient engagement tools, and seamless wholesale ordering of supplements. The platform also integrates with top EHR systems to streamline workflows for healthcare practitioners, making it easier for them to provide effective care. With Fullscript, patients can manage their health routines more conveniently, and providers can create personalized care plans with the support of clinical evidence and insights.

📋 Description

• 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

• Health technology company on a mission to help people get better. • Tools that make care smarter and more human. • Professional development opportunities.