Senior Decision Science Analyst at Pattison Food Group — NeverHard
Senior Decision Science Analyst at Pattison Food Group in Canada. Skills: Data Analysis, Mentoring, Predictive Modeling, Python, SQL. Apply on NeverHard.
Company
Pattison Food Group
Location
Canada
Type
full_time
Required skills:
Data Analysis
Mentoring
Predictive Modeling
Python
SQL
Statistical Analysis
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
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:
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 data analysis, data wrangling, statistical testing, and predictive modeling.
Mentoring and cross-training data analysts in experimentation best practices and statistical design.
Developing dashboards and visualizations in Power BI to convey insights and report on KPIs and test results.
Working in cloud-based analytics environments and with big data tools to build analytics workflows on large datasets.
Collaborating with IT and Data Scientists to identify technical and data requirements for deploying analytic solutions tailored to business needs.
Discovering unique and creative insights to identify new opportunities for driving business value.
Becoming an expert in the relevant datasets within your analytics domain.
You have:
A degree in a STEM discipline and at least 5 years of relevant experience in data analytics or data science.
Advanced Python coding skills.
Advanced understanding of SQL.
Experience using experimental design principles, such as A/B and multivariate testing, and working with business stakeholders to formulate testable hypotheses.
Understanding of advanced analytics and data science methods such as anomaly detection, forecasting, and supervised and unsupervised learning.
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 and other programming languages is an asset.
You are:
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.
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.
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:
The compensation offered for this position will take into consideration location, education, skills, experience and other factors.