Senior Data Analyst

Pattison Food Group; City of Langley; On-site; CAD 92,000 - 117,000; Full time

Job summary

An established industry player is seeking a Senior Data Analyst to join their dynamic More Rewards Loyalty team. This exciting role involves leveraging data analytics to drive large-scale projects and enhance decision-making processes. You will work with diverse datasets to support retail operations and marketing initiatives, while mentoring junior analysts. The company values innovation and offers a competitive salary along with a comprehensive benefits package, ensuring a supportive environment for professional growth and development. If you're passionate about data and thrive in a fast-paced setting, this opportunity is perfect for you.

Benefits

Company pension plan

Free parking

Exclusive team member offers

Opportunities for development

Career progression

Qualifications

• 5+ years of experience in data analytics or data science.
• Advanced Python and SQL skills required.

Responsibilities

• Collaborate with stakeholders to formulate testable hypotheses.
• Write SQL scripts to automate data pipelines.

Skills

Python

SQL

Data Analysis

Statistical Testing

Data Visualization

Problem Solving

Education

Degree in STEM

Tools

Power BI

Jupyter Notebook

Azure

Spark

Databricks

Job description

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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. consists of Save-On-Foods and other well-known grocery banners. With nearly 300 retail locations, we proudly employ more than 30,000 team members.

We have an exciting opportunity for a full-time Senior Data Analyst to join our More Rewards Loyalty team in Langley, BC.

Reporting to the Senior Manager, Customer Data & Insights, you will be responsible for leveraging all aspects of data and analytics to drive large-scale projects and continuous experimentation initiatives that guide decision-making and deliver high-quality insights. You will also support the development and management of customer data and insights using a large and comprehensive data set 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 tailed to business needs.
• 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, 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:

$92,880.00 - $116,100.00

The compensation offered for this position will take into consideration location, education, skills, experience, and other factors.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  Retail

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