Senior Analytics Engineer building core operational data models and supporting performance tracking at Fullscript. Collaborating with operational teams to enhance data-driven decision-making.
Responsibilities
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.
Requirements
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.
Benefits
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.
AI & Analytics Engineer I at Finning tasked with developing data models and AI agents. Collaborating with senior engineers and supporting Analytics Engineering initiatives.
Analytics Engineer at Trulioo focusing on building Python applications for analytics. Collaborating with data teams to automate reporting and enhance data accessibility.
Staff Analytics Engineer developing AI growth solutions for real estate professionals at Luxury Presence. Collaborating on high - impact analytics initiatives and shaping innovative products in a fast - paced environment.
Senior Analytics Engineer at Caribou optimizing data models and building dashboards for home care operations. Collaborating across teams to enhance data quality and facilitate decision - making.
BI & Analytics Developer transforming raw data into business insights for decision - making at PCL Constructors. Focused on reporting, analytics, and ETL development.
Data and Analytics Engineering Manager focusing on designing AI - driven data solutions for clients. Collaborating with teams to enhance data engineering processes and tools.
Analytics Engineer transforming data into trusted insights for mobile app growth. Collaborating with various teams to ensure accurate KPIs and building data infrastructure.
Senior Associate - Risk Analytics role performing daily risk monitoring and reporting, maintaining risk tools and dashboards, and collaborating with cross - functional teams in a hybrid Toronto setting.