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Data Analytics Manager Jobs in Ontario (NOW HIRING)

Support process improvement and integration initiatives with data analysis. * Identify trends ... Exposure to ERP / CRM systems (e.g., Salesforce, Dynamics) preferred. * Power BI or equivalent BI ...

This role also plays a key part in analytics by extracting and translating data into meaningful ... This position reports to the Manager Sales Analytics and works closely with Brand teams, Sales ...

This role also plays a key part in analytics by extracting and translating data into meaningful ... This position reports to the Manager Sales Analytics and works closely with Brand teams, Sales ...

Analytics Manager

Toronto, ON · On-site

CA$135K - CA$155K/yr

The Opportunity Join a collaborative team of engineers, data scientists and actuaries who use ... We are looking for an Analytics Manager to lead a team of Python developers and statistical ...

The Manager of Marketing Analytics role will leverage data and analytics to drive the transformation of one of the largest QSR brands in the world. Reporting into the Canadian Analytics team, our ...

We are seeking a Manager, Data Analytics with a strong technical background and deep business domain expertise to partner closely with our Engagement Marketing team. In this leadership role, you will ...

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Data Analytics Manager information

See Ontario salary details

$46K

$116K

$178K

How much do data analytics manager jobs pay per year?

As of Jul 29, 2026, the average yearly pay for data analytics manager in Ontario is $115,968.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,500.00 and $135,000.00 per year, depending on experience, location, and employer.

Will AI replace a data analyst?

AI tools can automate routine data processing and basic analysis tasks, but the role of a data analyst involves interpreting complex data, providing insights, and communicating findings, which require human judgment and domain expertise. Therefore, while AI may augment certain responsibilities, it is unlikely to fully replace data analysts in the near future, and skills in data storytelling and critical thinking remain essential.

How do Data Analytics Managers typically collaborate with stakeholders from non-technical departments?

Data Analytics Managers often act as a bridge between technical data teams and non-technical stakeholders, such as marketing, finance, or operations. They translate complex data insights into actionable recommendations and ensure that analyses align with business objectives. Regular communication, tailored presentations, and workshops are common practices to ensure all stakeholders understand the value and limitations of analytical findings. This collaborative approach helps drive data-driven decision-making across the organization.

What does a data analyst manager do?

A data analyst manager oversees a team of data analysts, guiding data collection, analysis, and reporting to support business decision-making. They develop strategies, ensure data accuracy, and often use tools like SQL, Excel, or data visualization software to interpret complex data sets. Strong leadership, communication skills, and knowledge of analytics tools are essential for this role.

How much do data analytics managers make?

Data analytics managers in the US typically earn a median salary of around $100,000 to $130,000 annually, with experienced professionals and those in high-demand industries earning higher. Salaries can vary based on location, education, certifications, and company size, and many roles require proficiency in tools like SQL, Python, or Tableau.

What are the key skills and qualifications needed to thrive as a Data Analytics Manager, and why are they important?

To thrive as a Data Analytics Manager, you need strong analytical skills, expertise in statistical methods, and a background in data science or a related field, often supported by a bachelor's or master's degree. Proficiency with data visualization tools (such as Tableau or Power BI), SQL, and analytics platforms like Python or R is typically required, along with experience in managing data projects. Leadership, strategic thinking, and effective communication are important soft skills for leading teams and translating data insights into actionable business strategies. These skills ensure that analytical initiatives drive business value and support informed decision-making across the organization.

What does a Data Analytics Manager do?

A Data Analytics Manager oversees data analysis operations and leads a team of analysts to extract actionable insights from data. They are responsible for managing data-driven projects, ensuring data integrity, and presenting findings to help guide business decisions. Their role often involves collaborating with various departments, setting analytic strategies, and ensuring that the team uses the most effective tools and methodologies. Additionally, they may handle hiring, training, and performance reviews of analytics staff.

What is the difference between Data Analytics Manager vs Data Analyst?

AspectData Analytics ManagerData Analyst
ResponsibilitiesOversees analytics projects, manages teams, develops strategiesPerforms data collection, cleaning, and analysis to generate reports
Required SkillsLeadership, project management, advanced analyticsData manipulation, statistical analysis, visualization
QualificationsBachelor's or Master's in Data Science, Analytics, or related fields; certifications like CAP or Microsoft Certified Data AnalystBachelor's in Statistics, Mathematics, or related fields; certifications like Microsoft Certified Data Analyst
Work EnvironmentCorporate offices, analytics teams, cross-department collaborationData teams, business units, often in office or remote settings

In summary, a Data Analytics Manager leads analytics teams and strategies, requiring leadership skills and advanced certifications, while a Data Analyst focuses on data processing and reporting, with more technical and analytical tasks. Both roles are essential in data-driven organizations and often work closely together.

Is a data analyst a high salary?

Data analysts typically earn moderate to high salaries depending on experience, industry, and location. While entry-level positions may have lower pay, experienced data analysts with skills in SQL, Excel, and data visualization tools can command higher salaries, especially in competitive markets.
What are the most commonly searched types of Data Analytics jobs in Ontario? The most popular types of Data Analytics jobs in Ontario are:
What are popular job titles related to Data Analytics Manager jobs in Ontario? For Data Analytics Manager jobs in Ontario, the most frequently searched job titles are:
What job categories do people searching Data Analytics Manager jobs in Ontario look for? The top searched job categories for Data Analytics Manager jobs in Ontario are:
What cities in Ontario are hiring for Data Analytics Manager jobs? Cities in Ontario with the most Data Analytics Manager job openings:
Infographic showing various Data Analytics Manager job openings in Ontario as of July 2026, with employment types broken down into 100% Full Time. Highlights an 64% In-person, 10% Hybrid, and 26% Remote job distribution, with an average salary of $115,968 per year, or $55.8 per hour.
Digital Data Analytics Manager

Full-time

Medical, Dental, Retirement, PTO

Posted yesterday


Job description

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 ability to present complex data to non-technical audiences.
  • Project Management: Experience managing multiple projects and deadlines in a fast-paced environment.
  • AI & Predictive Analytics: Familiarity with AI-driven tools and predictive analytics is an advantage.

What’s in it for you?
We believe in investing in our people and helping them reach their potential as valuable members of our team. As part of our team, you’ll have access to a wide range of incredible resources, growth opportunities, discounts, and perks, including:

  • Competitive salary & annual bonus
  • Competitive & flexible health and dental benefits, pension plan, RRSP, TFSA, and Stock matching programs.
  • Discounts: Enjoy up to 50% off Rogers Services and Blue Jays Tickets, 25% off TSC items, and a 20% discount on all wireless accessories sold in Rogers stores.
  • Paid time off for volunteering
  • Company matching contributions to charities you support
  • Growth & Development Opportunities:
    • My Path: self-driven career development program
    • Rogers First: priority in applying to internal roles of interest
  • Wellness Programs:
    • Homewood employee & family assistance program
    • Cognitive Behavioural Therapy (CBT) & Virtual therapy sessions
    • Low or no-cost fitness membership.
  • Our commitment to the environment and diversity:
    • Work for an organization committed to environmental protection
    • Strong commitment to diversity and inclusion with employee resource groups supporting equity-deserving groups including groups representing People of Colour, 2SLGBTQIA+, Indigenous Peoples, Persons with Disabilities and Women. We all bring something different, and we know what makes us different makes us great.

To protect our people, brand and assets, a pre-employment background check will be conducted. As part of our selection process, all candidates must clear a criminal background check. Additionally, a credit check and drivers abstract may be required depending on the role.

Schedule: Full time
Shift: Day
Length of Contract: Not Applicable (Regular Position)
Work Location: 1 Mount Pleasant (083), Toronto, ON 
Travel Requirements: Up to 10%
Background Check(s) Required: Criminal Record and Credit Check 
Posting Category/Function: Technology & Information Technology
Requisition ID: 334688

To support career growth, collaboration, and high-performing teams, all Corporate Employees are expected to work onsite. We believe that in-person connection strengthens our culture and drives industry-leading performance.

At Rogers, we believe the key to a strong business, is a diverse workforce where equity and inclusion are core to making everyone feel like they belong. We do this by embracing our diversity, celebrating our different perspectives, and working towards creating environments that empower our people to bring their whole selves to work. Everyone who applies for a job will be considered. We recognize the business value in creating a workplace where each team member has the tools to reach their full potential by removing any barriers for equal participation. We work with our candidates who are experiencing a disability throughout the recruitment process to ensure that they have what they need to be at their best. Please reach out to our recruiters and hiring managers to begin a conversation about how we can ensure that you deliver your best work. You matter to us! For any questions, please visit the Recruitment Process FAQ.


Posting Notes:  Technology