Come join Pattison Food Group Ltd., a Jim Pattison business, and Canada’s largest Western-based provider of food and health products.
Pattison Food Group Ltd. is a certified Great Place to Work® and consists of Save-On-Foods and other well-known grocery banners. With nearly 300 retail locations, we proudly employ nearly 30,000 team members.
We have an exciting opportunity for a full-time Data Analyst 1 to join our Data & Analytics team in Langley, BC.
Reporting to the Lead Data Analyst, the Data Analyst 1 role supports business decision-making through data analysis, reporting, and insight generation. This position works closely with business stakeholders to understand key questions, translate them into analytical approaches, and deliver clear, actionable insights.
This role also supports the Power BI Center of Excellence by contributing to scalable reporting solutions, governance, standardization, and self-service BI enablement across the organization. The Data Analyst 1 works across initiatives in areas such as customer analytics, loyalty, marketing, retail operations, and merchandising, using large and complex datasets to identify trends, measure outcomes, and uncover opportunities to drive business value.
You will be responsible for:
Partnering with business stakeholders to understand priorities, business questions, processes, and KPIs.
Building reports, dashboards, and visualizations in Power BI that communicate findings clearly and effectively to stakeholders.
Supporting the development of scalable, standardized reporting solutions aligned with Power BI COE principles and best practices.
Developing and maintaining Power BI solutions using advanced capabilities such as DAX, data modeling, and performance optimization.
Contributing to semantic model and enterprise dataset design to support consistency, usability, and reuse across reporting.
Supporting Power BI Service administration activities such as workspace organization, security access, dataset refreshes, and report lifecycle management.
Monitoring and improving report performance, scalability, and usability to support a strong end-user experience.
Writing SQL queries to extract, manipulate, and prepare data for analysis and reporting.
Using Python and notebook-based tools for exploratory analysis, data wrangling, and statistical work where needed.
Validating, troubleshooting, and improving data used in reporting and analysis.
Collaborating with Data Engineering and other technical partners to support data provisioning, model optimization, and reporting readiness.
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