Senior Decision Science Analyst

Senior Decision Science Analyst – More Rewards Team, 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.

• Collaborate with stakeholders to understand business questions, processes, and KPIs.
• Formulate testable hypotheses aligned with business questions and conduct statistical experiments in a live environment.
• Write SQL scripts to automate data pipelines and workflows.
• Use Python scripts in a Jupyter Notebook environment for data analysis, data wrangling, statistical testing, and predictive modeling.
• Mentor and cross‑train data analysts in experimentation best practices and statistical design.
• Develop dashboards and visualizations in Power BI to convey insights and report on KPIs and test results.
• Work in cloud‑based analytics environments and with big data tools to build analytics workflows on large datasets.
• Collaborate with IT and Data Scientists to identify technical and data requirements for deploying analytic solutions tailored to business needs.
• Discover unique and creative insights to identify new opportunities for driving business value.
• Become an expert in the relevant datasets within your analytics domain.

• 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.

• 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.

• Competitive salary ($96,443.00 – $).
• Company pension plan.
• Free parking.
• On‑site gym.
• Exclusive team member offers.
• Opportunities for development and career progression.

Apply online today!