Decision Science Analyst

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. 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, 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. You have: 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 with additional programming languages is an asset. 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. Experience with big data tools such as Spark and Databricks is 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! Compensation Details: $85,062.00 - $106,328.00 The compensation offered for this position will take into consideration location, education, skills, experience and other factors.

The analyst will leverage data and analytics to support large-scale projects, experimentation, and continuous improvement for the More Rewards Loyalty Program. Key tasks include writing SQL and Python scripts, developing Power BI dashboards, and collaborating with stakeholders to derive business insights.

Candidates must have a STEM degree and 3+ years of experience in data and analytics with advanced Python and SQL skills. Proficiency in experimental design and familiarity with cloud environments like Azure, GCP, or AWS is required.

• Competitive salary • Company pension plan • Free parking • Exclusive team member offers • Development and career progression opportunities

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

• Python
• SQL
• Power BI
• A/B Testing
• Multivariate Testing
• Experimental Design
• Data Wrangling
• Statistical Testing
• Data Visualization
• Cloud Analytics
• Spark
• Databricks
• Anomaly Detection
• Forecasting
• Supervised Learning
• Unsupervised Learning
• Retail Operations
• Workflow Management
• Advanced Analytics
• Decision Science
• Self-Motivation
• Programming Languages
• Amazon Web Services
• Analytics
• Microsoft Azure
• Big Data
• Dashboard
• Management
• Business Valuation
• Decision Making
• Communication
• Continuous Improvement Process
• Critical Thinking
• Customer Data Management
• Design of Experiments (DOE)
• Exploratory Data Analysis
• Marketing
• Interpersonal Communications
• Problem Solving
• Python (Programming Language)
• Key Performance Indicators (KPIs)
• Merchandising
• Multitasking
• Retail Sales
• SQL (Programming Language)
• Task Management
• Testability
• Confident Communicator
• Data Science
• Data Pipelines

• Data & Analytics
• Retail
• Technology
• Science & Research
• Marketing
• Decision Science Analyst
• Data Scientist
• Systems Analysts
• Data Scientists

Formation minimale

Baccalauréat

Expérience minimale

2+ ans

Langue de l’offre

anglais

Heures de travail

40 heures par semaine