Senior Analytical Engineer (Remote)

Qmulus Solutions is more than just a trusted Virtual Staffing provider headquartered in Victoria, BC—we’re a people-first company redefining how teams connect across borders. With a reputation for excellence and innovation, we’re proud to be expanding our offshore operations in the Philippines, creating exciting opportunities for talented professionals to join a dynamic, global team.
As we continue to scale, we’re looking for passionate individuals ready to make an impact and grow with us.
We're looking for an experienced Senior Analytical Engineer to join our Client's global data organization and serve as a key connection between business strategy, data engineering, analytics, and technology.
This role is ideal for a highly technical and analytical professional who can transform raw data into scalable, trusted, and certified data products. The successful candidate will work closely with cross-functional teams to translate business requirements into reliable data models, semantic layers, BI solutions, and actionable insights.
Key Responsibilities
Translate business requirements and logic into scalable, version-controlled data models using dbt within cloud data warehouse environments
Design, build, and maintain high-performance Tableau or similar BI dashboards and certified Published Data Sources
Develop and maintain reliable semantic models to ensure critical business metrics are consistently defined and calculated across the organization
Work with cross-functional business metrics including ARR, Churn, NPS, Pipeline Velocity, and Attrition
Implement and maintain data quality and freshness testing to ensure the reliability of enterprise data products
Build and maintain business glossaries and data lineage within Data Catalog platforms to improve data discoverability
Structure and optimize data products for machine learning consumption and augmented intelligence applications
Collaborate with Data Engineering, IT, and Security teams to manage upstream data source changes, RBAC governance, and PII masking
Partner with stakeholders across multiple business functions to understand data requirements and translate them into scalable technical solutions
Proactively identify opportunities to improve data models, analytics capabilities, reporting consistency, and overall data quality
Job Specification
6+ years of experience in Analytics Engineering, Data Engineering, or highly technical Data Analytics roles
Advanced proficiency in SQL, including complex data transformations, performance tuning, and multi-layer data modeling
Strong hands-on experience with dbt and modern cloud data warehouse environments
Proven experience building and deploying enterprise-level Tableau or similar BI solutions
Experience developing certified data sources, dashboards, and data quality/freshness processes
Strong understanding of semantic data modeling and KPI standardization across business functions
Experience with Snowflake or AWS cloud environments is preferred
Proficiency in Python for data scripting, automation, or analytical workflows is preferred
Experience working with CRM, ERP, CSP, Product, or other upstream enterprise systems is preferred
Experience with Data Catalog, data lineage, RBAC, and PII masking is an advantage
Strong analytical, problem-solving, communication, and stakeholder-management skills, with the ability to work independently in a highly visible individual contributor role.

Work arrangement
Yes