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LB
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Added 40 mins ago
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- Full-time
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Pattison Food Group

Data Analyst 1

Langley (District), BC, Canada
Langley Office - Langley BC, Canada

$75,509.00 - $94,387.00 · Full-time

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Job details

Pay: $75,509.00 - $94,387.00
Job type: Full-time
Apply by: Oct 16, 2026
Posting language: English
Posted: Oct 6, 2026

Original job description

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 Engineer, the Data Analyst 1 supports business decision-making through hands-on data analysis, reporting, and insight generation. This role works closely with business stakeholders to understand key questions, translate them into analytical approaches, and deliver clear, actionable insights.

This is a hands-on analytical role requiring strong SQL, practical Python experience, data exploration, statistical analysis, and an understanding of data modeling. The role is not primarily focused on dashboard development or reporting.

The Data Analyst 1 contributes to initiatives across areas such as customer analytics, loyalty, marketing, retail operations, and merchandising. Using large and complex datasets, this role identifies trends, measures outcomes, supports experimentation, and uncovers opportunities to drive business value.

You will be responsible for:

Partnering with business stakeholders to understand priorities, business questions, processes, and KPIs.
Analyzing large and complex datasets to generate insights that support decision-making and continuous improvement.
Writing SQL queries to extract, join, transform, and analyze data.
Using Python and notebook-based tools for data wrangling, exploratory analysis, and statistical analysis.
Building reports, dashboards, and visualizations that communicate findings clearly and effectively.
Maintaining dashboards, reports, and other data assets to support accuracy, reliability, and performance.
Supporting the design, execution, and interpretation of experiments, including A/B testing and hypothesis-driven analysis.
Working with and understanding data models used for reporting and analysis.
Validating data quality, troubleshooting issues, and investigating inconsistencies in datasets and reporting.
Translating business questions into analytical approaches and clear recommendations.
Identifying trends, patterns, anomalies, and opportunities through thoughtful analysis.
Collaborating with data and cross-functional partners to support business and analytical needs.
Building knowledge of core datasets, reporting logic, 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 statistics, mathematics, computer science, engineering, economics, or another quantitative discipline.
3+ years in data analytics, business analytics, or a related analytical role.
Strong SQL skills, including joins, aggregations, CTEs, and data transformation.
Practical Python skills for data analysis and data wrangling.
Experience working with large and complex datasets.
Understanding of data modeling concepts.
Experience with Power BI, Databricks AI/BI, Tableau, or similar reporting tools.
Working knowledge of statistical analysis and experimentation.
Familiarity with cloud-based analytics environments such as Azure, AWS, GCP, or Databricks.

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.

If you’re looking to join a team that puts people first, you’re in the right place. Apply online today!

Compensation Details:

$75,509.00 - $94,387.00

The compensation offered for this position will take into consideration location, education, skills, experience and other factors.

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More about this job

Responsibilities

The Data Analyst 1 partners with business stakeholders to analyze complex datasets and generate actionable insights for decision-making. They are responsible for writing SQL queries, performing statistical analysis, and maintaining reporting assets to support business initiatives.

Requirements

Candidates must hold a degree in a quantitative discipline such as statistics, mathematics, or computer science. The role requires at least 3 years of experience in data analytics, along with strong proficiency in SQL and Python.

Skills

SQL
Python
Data analysis
Statistical analysis
Data modeling
Power BI
Databricks
Tableau
A/B testing
Data wrangling
Exploratory analysis
KPI tracking
Data visualization
Reporting
Business intelligence

Benefits

Health benefits
Company pension plan
Free parking
Exclusive team member offers
Professional development opportunities
Career progression opportunities

Visa sponsorship

Not detected in the job text

Keywords

Data Analyst
SQL
Python
Data Analytics
Business Analytics
Statistical Analysis
Data Modeling
Power BI
Databricks
Tableau
A/B Testing
KPIs
Data Wrangling
Azure
AWS
GCP
Customer Analytics
Loyalty
Marketing
Retail Operations
Merchandising
Data Quality
Reporting
Dashboards
Quantitative Discipline

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