Decision Science Analyst
About The Position
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 Decision Science Analyst to join our More Rewards team in Langley, BC. Reporting to the Senior Manager, Customer Data & Analytics, you will be responsible for leveraging all aspects of data and analytics to support large-scale projects, experimentation, and continuous improvement initiatives that guide decision-making and deliver high-quality insights. In this role, you will support the development and management of customer data and insights to support the More Rewards Loyalty Program, Marketing, Retail Operations and Merchandising.
Requirements
- A degree in a STEM discipline with 3+ years of relevant experience in data and analytics.
- Advanced Python coding skills and understanding of SQL.
- Experience using experimental design principles such as A/B and multivariate testing and working with business stakeholders to formulate testable hypotheses.
- An understanding of advanced analytics and data science methods, such as anomaly detection, forecasting, and supervised & unsupervised learning.
- Working knowledge of cloud environments, such as Azure, GCP or AWS.
Nice To Haves
- Experience with additional programming languages is an asset.
- Experience with big data tools such as Spark and Databricks is an asset.
Responsibilities
- 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, 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 team with key projects.
Benefits
- a company pension plan
- free parking
- exclusive team member offers
- opportunities for development and career progression
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
