Analytics Architect

We are hiring an Analytics Architect on behalf of a well-established organization in Vancouver.

The role will be a part of the Finance team and will help build and improvepany’s analytics foundation. The Analytics Architect will design, build, and maintain reliable and scalable datasets that support self-service reporting, decision-making, automation, and future AI/ML initiatives. In this role, you will work closely with the business and take ownership of key financial and operational metrics, will build dependable data pipelines and curated datasets/scalable analytics data products that serve as a single, trusted source of data across the organization, play a key role in moving existing SQL Server data mart to the cloud, bringing in new data sources, and making sure analysts and business users have access to high-quality, well-structured data to support decision-making.

Your responsibilities:
Partner with AI Solutions, FP&A, and business stakeholders to deliver reliable, business-ready data products

Actively participate in business requirements discussions

Build and maintain data pipelines that integrate information from multiple business systems

Integrate data from different business systems into clean and trusted analytics-ready datasets

Create and maintain curated datasets that serve as trusted source forpany-wide KPIs, implement automated data quality checks and resolve data issues to ensure accuracy and reliability, use modern engineering practices—including CI/CD, automation, testing, and version control— to build and deliver reliable analytics solutions, support self-service reporting and semantic models in Power BI

Partner with IT to ensure appropriate access controls are in place and aligned with enterprise standards

Your experience and skills:

Post-secondary degree in a relevant field puter Science, Engineering, Information Systems, Business, Economics) or equivalent practical experience

5+ years of experience in data and analytics engineering and exposure to data architecture design

Strong SQL and Python skills, with experience in Microsoft SQL Server

Experience building data pipelines and integrating data from multiple systems

Experience designing and maintaining analytics or semantic models (e.g., Power BI)

Experience with cloud data platforms (Databricks or Microsoft Fabric preferred)

Experience with CI/CD, source control, and deployment practices (e.g., Azure Dev Ops)

Strong ability to translate technical concepts for non-technical stakeholders