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.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.
