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.
We’re looking for a Senior Analytics Engineer, Operations & Distribution to partner closely with our Distribution Center (DC) Operations and Customer Experience teams to build and own the data foundations that power operational performance.
This role sits within our Analytics & Data Science organization and supports DC Operations, Customer Support, and Customer Experience leadership. You will be responsible for designing and maintaining the backend data models that enable leaders to monitor workforce productivity, throughput, service levels, cost efficiency, and fulfillment quality.
Unlike traditional analytics roles focused primarily on analysis or reporting, this role is centered on building durable, trusted data infrastructure that becomes the backbone of operational decision-making.
This is a senior, hands-on role for someone who thrives working across data modeling and operational systems, building reliable, production-grade data infrastructure that supports real-world operations.
What You’ll Do
Build and own core operational data models in our enterprise data warehouse that power DC performance tracking and operational monitoring.
Design scalable transformation logic using dbt and SQL to support use cases such as hourly employee activity tracking, throughput analysis, labor productivity, and composite performance models (e.g., “perfect order” frameworks).
Partner directly with DC Operations and Customer Experience leaders to translate operational workflows into measurable, reliable data assets.
Define and implement trusted metrics for operational efficiency, service quality, workforce performance, and fulfillment reliability.
Ensure operational data pipelines are tested, documented, and production-grade (balancing performance, scalability, and long-term maintainability).
Support deeper modeling efforts (e.g., capacity planning, forecasting, optimization) in collaboration with Data Science partners.
Act as a senior technical voice for operational analytics engineering, influencing modeling standards, patterns, and best practices.
Operate independently as the primary data infrastructure owner for operational performance initiatives.
What You Bring
5+ years of experience in analytics engineering, data engineering, or advanced operational analytics.
Strong proficiency in SQL and deep comfort working in modern cloud data warehouses (e.g., Snowflake, BigQuery, Redshift).
Hands-on experience building and maintaining transformation layers using dbt or similar ELT tools.
Strong understanding of data modeling concepts including grain, fact tables, dimensions, and schema design.
Experience working with operational, warehouse, logistics, fulfillment, or supply chain datasets in a execution-heavy environments.
Experience building production-grade data models that support performance monitoring and operational decision-making.
Ability to translate complex workflows into structured, measurable metrics.
Comfort partnering directly with operational leaders and senior stakeholders.
Bonus If You Have
Experience with SQL and Python or R, with comfort working directly in large analytical datasets.
Experience modeling workforce productivity, labor efficiency, or capacity planning.
Exposure to forecasting, optimization, simulation, or applied operations research.
Experience building near-real-time monitoring frameworks.
Experience defining composite performance models (e.g., quality + timeliness + accuracy metrics).
Experience mentoring analytics engineers or influencing technical standards across a team.
What we can offer you
Flexible PTO & competitive pay
RRSP match (CAD) & stock options
Customizable benefits — flexible coverage, paramedical services, and an HSA.
Flexible benefits package and additional perks
Employee discount on Fullscript catalog of products for family & friends
Continuous learning — training budget + company-wide initiatives.
Wherever You Work Well — hybrid and remote flexibility.
Why Fullscript
Great work happens when people feel supported, trusted, and inspired. At Fullscript, we stay curious and keep finding smarter ways to make care better. We grow together, take on new challenges, and focus on impact. We put people first, work as a team, and leave egos at the door.
What to Know Before You Apply
We’re grateful for the interest in joining Fullscript. To make sure your application reaches our hiring team, please apply directly through our careers page. We’re not able to respond to individual messages about open roles on email or social channels.
Fullscript is an equal opportunity employer committed to creating an inclusive workplace. Accommodations are available upon request at
[email protected].
All offers are contingent on successful background checks conducted in compliance with federal, state, and provincial laws.
We use AI tools to support parts of the hiring process, including screening and reviewing responses. Final hiring decisions are always made by people and follow all applicable privacy and employment laws in Canada and the U.S.
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