Data Analyst 1

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, standardised reporting solutions aligned with Power BI COE principles and best practices.

Developing and maintaining Power BI solutions using advanced capabilities such as DAX, data modelling, and performance optimisation.

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 organisation, 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 optimisation, and reporting readiness.

Supporting user enablement through documentation, training, and guidance that helps strengthen self‑service BI capabilities across the business.

Building knowledge of core datasets, reporting logic, governance practices, and business context within the assigned analytics domain.

Supporting broader Data & Analytics team priorities and cross‑functional projects as required.

You have:

A degree in a relevant field such as statistics, mathematics, computer science, engineering, economics, or another quantitative discipline.

3+ years of relevant experience in data analytics, business analytics, reporting, or a related field.

Strong working knowledge of SQL for querying and transforming data.

Hands‑on experience building dashboards, reports, and visualisations in Power BI.

Experience with advanced Power BI development, including DAX, data modelling, and report performance optimisation.

Familiarity with semantic models and enterprise dataset design.

Exposure to Power BI Service administration, including workspaces, security, refresh management, and deployment practices.

The ability to design reporting solutions that are scalable, governed, and aligned with business needs.

Experience working with large or complex datasets in modern analytics environments.

Working knowledge of Python for data analysis is preferred.

Exposure to user enablement, training, or supporting self‑service BI is an asset.

Familiarity with cloud and modern data platforms such as Azure Synapse, Databricks, and Microsoft Fabric is an asset.

Experience collaborating with Data Engineering or technical data teams is an asset.

You are:

Able to translate business needs into practical data and reporting solutions.

Able to translate data into clear, practical insights for non‑technical stakeholders.

An effective written and verbal communicator.

Detail‑oriented and committed to quality, consistency, and governance.

Able to balance business responsiveness with reporting standards and scalability.

Comfortable managing multiple priorities in a fast‑paced environment.

Self‑motivated and able to work both independently and collaboratively.

Curious, proactive, and eager to learn new tools, platforms, and business contexts.

Committed to enabling users and supporting adoption of self‑service reporting practices.

What we offer: In addition to a highly competitive salary, we offer a great range of benefits, a company pension plan, free parking, exclusive team member offers, and opportunities for development and career progression.

Compensation Details: $74,029.00 – $92,536.00 – the compensation offered for this position will take into consideration location, education, skills, experience and other factors.

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