Senior Analytics Engineer building scalable data pipelines and AI - native analytics foundations at Mercury, a fintech company. Supporting agentic tooling, self - service analytics, governance, and data products.
About the role
- 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.
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