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Digital Data Analytics Manager

Job in Toronto, Ontario, M5A, Canada
Listing for: Rogers Communications
Full Time position
Listed on 2026-08-06
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager, Digital Marketing
Job Description & How to Apply Below

Our Technology team wakes up every day with one goal in mind - connecting Canadians to the people and things that matter most. Together, we are proud to support 30 million Canadians each month through managing a robust portfolio that champions leading-edge technology. We drive large-scale, complex, and high-visibility technology projects and programs that shape the future of technology in Canada and expand connectivity from coast to coast.

If you are interested in being a part of this, consider applying for the following opportunity:

Who we're looking for:
The Digital Data Analytics Manager will play a key role in driving data-informed decision-making across our digital platforms. This role is focused on leveraging digital data to analyze user behavior, optimize digital experiences and buyflows, and provide actionable insights that align with business objectives to improve the digital user experience and reduce areas of friction.

The ideal candidate is a data enthusiast who excels in uncovering trends, identifying optimization opportunities, and crafting insights that guide personalization, content strategy, and performance improvements across web and mobile digital applications.

What you'll do:

  • Data Analysis & Insights:
    • Analyze digital user behavior across platforms, including websites, mobile apps, and internal applications, using tools such as Google Analytics, Adobe Analytics, Dynatrace, Quantum Metric and other data platforms.
    • Provide actionable insights by identifying trends, patterns, and areas of opportunity to enhance the digital experience and improve KPIs, such as engagement, conversion, retention, and satisfaction.
    • Develop and maintain dashboards and reports to track key performance metrics, delivering clear, concise insights to stakeholders at all levels.
  • Cross-Functional Collaboration:
    • Work closely with UX, product, marketing and development teams to ensure data insights are integrated into decision-making processes and digital product strategies.
    • Support the personalization team with data segmentation and user behavior analysis to drive targeted and tailored digital experiences.
    • Partner with customer service and support teams to analyze and enhance digital service journeys, focusing on customer satisfaction and efficiency.
  • Data Governance & Management:
    • Ensure the accuracy and integrity of data collected through tagging and tracking, working closely with developers to implement and maintain analytics setups.
    • Maintain compliance with data privacy regulations, ensuring analytics practices align with organizational and legal standards.
    • Proactively troubleshoot data issues, ensuring consistency and reliability across reports and dashboards.
  • Innovation & Trends:
    • Stay updated on industry trends, tools, and best practices in digital analytics, applying new techniques to enhance data analysis and insights.
    • Experiment with emerging analytics tools and methodologies, such as predictive analytics, to identify potential opportunities for innovation.

What you bring:

  • Education:

    Bachelor’s degree in data science, statistics, marketing, or a related field (Master’s degree preferred).
  • Experience:

    3+ years of experience in digital data analytics, with a proven ability to analyze and report on web and mobile app performance.
  • Technical

    Skills:

    Proficiency in analytics tools such as Google Analytics, Adobe Analytics, Dynatrace, Quantum Metric and Firebase. Familiarity with data visualization tools like Tableau, Power BI, or Looker is a plus.
  • Data Tracking & Implementation:
    Strong understanding of tracking/tagging implementation using Google Tag Manager, Adobe Launch, or similar platforms.
  • Programming & Querying

    Skills:

    Knowledge of SQL and Python, particularly for data manipulation, querying, and advanced analytics use cases.
  • Retail & Telecommunications Expertise:
    Experience in the retail and telecommunications industry is an asset, with an understanding of eCommerce and service journey analytics considered a bonus.
  • Analytical Thinking:
    Strong quantitative and analytical skills, with the ability to synthesize data into actionable insights.
  • Collaboration

    Skills:

    Excellent communication and interpersonal skills, with a proven…
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