Manager of Data and Analytics
On behalf of our industry leading food client, we are seeking a highly motivated and strategic Manager of Data & Analytics to lead high-impact initiatives that leverage data to inform business decisions and unlock customer insights. In this role, you will oversee a team of data analysts and drive projects that utilize one of Canada's largest and most comprehensive datasets. Your work will support cross-functional teams across Marketing, Retail Operations, and Merchandising, delivering advanced analytics that enable continuous improvement and measurable business outcomes.
This role is based primarily in office in a central location outside of the City of Vancouver, and has a series of benefits to complement a salary range of $97k-$130k plus incentives.
Some of what you will do in this role includes:

• Lead, mentor, and develop a team of data analysts to ensure high performance and growth.
• Collaborate with cross-functional stakeholders to understand business objectives, define key performance indicators (KPIs), and translate questions into actionable data analysis.
• Manage data and analytics support for major initiatives and strategic projects across the organization.
• Discover and present compelling insights to identify new opportunities for value creation and performance improvement.
• Advance and automate capabilities in statistical testing, offer attribution, and customer segmentation.
• Become a subject matter expert in relevant datasets and analytical tools within your domain.
• Promote best practices in data management, analytics, and experimentation across the team.

You will require most of the following in your background for the role:

• Bachelor's degree or higher in a STEM field (e.g., Mathematics, Statistics, Computer Science, Engineering).
• Minimum of 5 years of experience in data analytics, data science, or a related field.
• Advanced proficiency in Python; experience with additional programming languages is an asset.
• Strong knowledge of SQL and data manipulation across large datasets.
• Hands-on experience with experimental design, including A/B testing and multivariate testing, and translating business needs into testable hypotheses.
• Familiarity with advanced analytics and machine learning techniques such as forecasting, anomaly detection, clustering, and classification.
• Experience with data visualization and reporting tools such as Power BI or Tableau.
• Proficiency in cloud platforms (Azure, AWS, or GCP) and big data technologies such as Spark and Databricks.

If this role sounds like a fit for your skills and experience, please apply today! MacDonald Search Group works with our clients to build high performing, diverse teams, reflective of the Canadian employment landscape. All applications are considered.