Data Analyst, Marketing Automation & Customer Lifecycle (Digital Strategy And Product)

The employer creates content that informs, entertains, and connects Canadians across multiple platforms. To further scale its business intelligence (BI) practice, the organization is seeking a Data Analyst to lead the delivery of essential insights and solutions that drive business decisions. This role will focus on supporting the growing marketing automation practice, enabling the organization to rapidly reach more Canadians.

Candidates with experience in product marketing and customer lifecycle management are strongly encouraged to apply.

The Data Analyst will play a pivotal role in unlocking the value of business intelligence and predictive analytics across the organization. This individual will be recognized as a key strategic asset—a trusted voice of reason and a driver of high-quality, actionable insights. The BI technology stack includes Power BI for data visualization and Azure Databricks / Delta Lake for predictive modelling, data warehousing, and collaboration.

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• Collect business requirements from stakeholders and translate them into data questions for the BI team to solve in a timely and actionable manner.
• Conduct sophisticated analyses, descriptive, predictive, or prescriptive in nature, that may involve more than one analyst or multiple stakeholder groups.
• Enhance the quality of insights and scale of results generated by the team through your deep business domain knowledge and expertise in data analytics and applied data science.

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• The expertise. You have 1-3 years of experience working with complex unaggregated data, especially clickstream data. You have applied data analysis and data science methods to business realities and product marketing.
• The knowledge. You are acutely aware of the impact of data analytics on business decisions. You know how to analyze behavioural signals and turn them into actionable insights. You use business savvy and people skills to change outcomes, not merely data or technology. You know why it is wrong to measure marketing performance only using the conversion rate.

The technical skills:

• Creating clean code and business logic, and revising messy code and business logic.
• Advanced SQL, including CTEs, window functions, and nested queries.
• Advanced PowerBI, especially DAX.
• One or more of Amplitude, Adobe Analytics, or any other enterprise web or product analytics implementations.
• Working with very large datasets (millions or billions of rows).
• Statistical concepts (correlation, regression, significance, etc.).
• Python is a big plus.
• The drive. You thrive in an autonomous and ambiguous environment that rejects “business as usual.” You are curious, able to dig for insights, see the big picture, and keep up with industry changes.
• The right attitude. You enjoy working with people and sharing your knowledge collaboratively. You approach things with a beginner’s mind and are constantly curious and learning.
• The communication skills. You are skilled at presenting ideas to non-technical stakeholders and management. You know how to listen and empathize with others. You are fluent in English and are an excellent verbal and written communicator. A working knowledge of French is an asset, as the entire BI team is either learning French or bilingual.
• The education. We are less interested in formal degrees and credentials and more interested in expertise gained through experience, but you may be a good fit if you have studied Data Analysis or Data Science, Applied Statistics, or have equivalent work experience.