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Sobre esta vaga de Data Analyst 1 na Save-On-Foods

Save-On-Foods · Presencial · Langley Office - Langley BC

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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Como este salário de Data Analyst se compara

Esta vaga paga $84,948/yr — em linha com da faixa típica para vagas de Data Analyst.

$60,000 a mediana $101,475 $158,040

Faixa típica $79,500–$129,506/yr, com base em 936 vagas de Data Analyst comparáveis na JobsRadar (pagamento anualizado em USD). Ver insights salariais de Data Analyst →

Sobre a Save-On-Foods

As a community-focused retailer, we offer great career opportunities in a fast-paced, exciting environment, while providing ongoing training to invest in our team members so they can develop and achieve their goals. If you are a positive, customer-focused individual, we would love to hear from you.

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