Senior Decision Science Analyst

Pattison Food Group; City of Langley; On-site; CAD 96,443 - 120,554; Full time

Benefits offered by this job

Company pension plan

Free parking

On-site gym

Exclusive team member offers

Opportunities for development and career progression

Job summary

Pattison Food Group is looking for a Senior Decision Science Analyst for their More Rewards Team in Langley, BC. This role involves leveraging data and analytics to drive projects and provide insights. You'll collaborate with various stakeholders, conduct experiments, and develop dashboards in Power BI.

The ideal candidate has a STEM degree, advanced Python and SQL skills, and at least 5 years of relevant experience. Additionally, the position includes a competitive salary, pension plan, and career development opportunities.

Qualifications

• At least 5 years of relevant experience in data analytics or data science.
• Proficient in developing dashboards and visualizations in Power BI.
• Strong analytical and critical thinking skills.

Responsibilities

• Collaborate with stakeholders to understand business questions and KPIs.
• Conduct statistical experiments aligned with business objectives.
• Write SQL scripts to automate data pipelines.

Skills

Advanced Python coding skills

Advanced understanding of SQL

Experience with experimental design principles

Experience with visualization tools such as Power BI or Tableau

Knowledge of cloud environments such as Azure, GCP, or AWS

Experience with big data tools such as Spark and Databricks

Education

Degree in a STEM discipline

Job description

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.

Responsibilities

• 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.

Qualifications

• 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.

Candidate Profile

• 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.

Benefits

• Competitive salary ($96,443.00 – $120,554.00).
• Company pension plan.
• Free parking.
• On‑site gym.
• Exclusive team member offers.
• Opportunities for development and career progression.

Apply online today!