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.
About the role
We have an exciting opportunity for a full-time Senior 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 drive large-scale projects and continuous experimentation initiatives, guiding decision-making and delivering high-quality insights. In this role, you will support the development and management of customer data and insights using a large and comprehensive dataset to support the More Rewards Loyalty Program, Retail Operations, Marketing and Merchandising.
You will be responsible for:
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Collaborating with stakeholders to understand business questions, processes, and KPIs.
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Formulating testable hypotheses aligned with business questions and conducting statistical experiments in a live environment.
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Writing SQL scripts to automate data pipelines and workflows.
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Using Python scripts in a Jupyter Notebook environment for data analysis, data wrangling, statistical testing, and predictive modeling.
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Mentoring and cross-training data analysts in experimentation best practices and statistical design.
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Developing dashboards and visualizations in Power BI to convey insights and report on KPIs and test results.
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Working in cloud-based analytics environments and with big data tools to build analytics workflows on large datasets.
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Collaborating with IT and Data Scientists to identify technical and data requirements for deploying analytic solutions tailored to business needs.
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Discovering unique and creative insights to identify new opportunities for driving business value.
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Becoming an expert in the relevant datasets within your analytics domain.
You have:
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A degree in a STEM discipline and at least 5 years of relevant experience in data analytics or data science.
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Advanced Python coding skills.
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Advanced understanding of SQL.
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Experience using experimental design principles, such as A/B and multivariate testing, and working with business stakeholders to formulate testable hypotheses.
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Understanding of advanced analytics and data science methods such as anomaly detection, forecasting, and supervised and unsupervised learning.
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Experience with visualization and reporting tools such as Power BI or Tableau.
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Working knowledge of cloud environments such as Azure, GCP, or AWS.
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Experience with big data tools such as Spark and Databricks and other programming languages is an asset.
You are:
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A confident communicator, both verbally and in writing, with strong interpersonal skills and the ability to communicate a story with data and insights to non-technical stakeholders.
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A problem-solver with strong analytical and critical thinking skills.
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Effective in task management and delivering high-quality work.
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Capable of multitasking and thriving in a fast-paced environment.
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Self-motivated with the ability to work independently and collaboratively.
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Able to mentor and guide junior team members, fostering their professional growth and enhancing team performance.
What we offer:
In addition to a highly competitive salary, we offer a great range of benefits, a company pension plan, free parking, on-site gym, 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:
$96,443.00 - $120,554.00
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The compensation offered for this position will take into consideration location, education, skills, experience and other factors.