Data Analyst

at  Pattison Food Group

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. consists of Save-On-Foods and other well-known grocery banners. With nearly 300 retail locations, we proudly employ more than 30,000 team members.
We have an exciting opportunity for a full-time Data Analyst to join our More Rewards Loyalty team in Langley, BC.
Reporting to the Senior Manager, Customer Data & Analytics, you will leverage all aspects of data and analytics to support large-scale projects and continuous experimentation initiatives that guide decision-making and deliver high-quality insights.
You will also support the development and management of customer data and insights using one of the largest and most comprehensive data sets in Canada to support the More Rewards Loyalty Program, Marketing, Retail Operations and Merchandising

You will be responsible for:

• Collaborating with stakeholders to understand business questions, processes, and KPIs.
• Formulating testable hypotheses aligned with business questions and conducting statistical experiments in a live environment.
• Writing SQL scripts to automate data pipelines and workflows.
• Using Python scripts in a Jupyter Notebook environment for exploratory data analysis, data wrangling, and statistical testing.
• Developing and maintaining dashboards and visualizations in Power BI to convey insights and report on KPIs and test results.
• Learning cloud-based analytics environments and big data tools to build analytics workflows on large datasets.
• Discovering unique and creative insights to identify new opportunities for driving business value.
• Becoming an expert in the relevant datasets within your analytics domain.
• Supporting the Data & Analytics with key projects.

You have:

• A degree in a STEM discipline with 1 to 3 years of relevant experience in data analytics or data science.
• Intermediate Python coding skills. Experience in other programming languages is a considered an asset.
• Intermediate understanding of SQL.
• Experience using experimental design principles such as A/B and multivariate testing and working with business stakeholders to formulate testable hypotheses.
• Experience with visualization and reporting tools such as Power BI or Tableau.
• Working knowledge of cloud environments such as Azure, GCP, or AWS. Experience with big data tools such as Spark and Databricks is a considered an asset.

You are:

• A confident communicator, both verbally and written, with strong interpersonal skills and the ability to communicate a story with data and insights to non-technical stakeholders.
• A problem solver with strong analytical and critical thinking skills.
• Effective in task management and delivering high-quality work.
• Capable of multitasking and thriving in a fast-paced environment.
• Self-motivated with the ability to work independently and collaboratively.

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!

• Collaborating with stakeholders to understand business questions, processes, and KPIs.
• Formulating testable hypotheses aligned with business questions and conducting statistical experiments in a live environment.
• Writing SQL scripts to automate data pipelines and workflows.
• Using Python scripts in a Jupyter Notebook environment for exploratory data analysis, data wrangling, and statistical testing.
• Developing and maintaining dashboards and visualizations in Power BI to convey insights and report on KPIs and test results.
• Learning cloud-based analytics environments and big data tools to build analytics workflows on large datasets.
• Discovering unique and creative insights to identify new opportunities for driving business value.
• Becoming an expert in the relevant datasets within your analytics domain.
• Supporting the Data & Analytics with key projects