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Data Analytics Manager Jobs in Vaughan, ON (NOW HIRING)

Novartis

Data, Analytics & Platform Head

Toronto, ON · Hybrid

As Head of Data, Analytics & Platforms, you'll turn global digital strategy into local execution ... Lead the deployment, adoption, and change management of enterprise marketing, medical, and access ...

Scotiabank

Manager, Analytics

Toronto, ON

Through strong leadership, analytical expertise, and strategic thinking, the Manager, Analytics transforms data into meaningful business outcomes while fostering a culture of collaboration ...

BMO Capital Markets

Manager, Growth & Analytics

Toronto, ON · On-site

  • Medical

  • Life

  • Retirement

Data Analytics & Reporting Role Summary The Manager, Wealth Growth & Analytics supports revenue generation through analyticsled client acquisition, lifecycle management, lead optimization, and ...

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All JobsData Analytics JobsData Analytics Manager JobsData Analytics Manager Jobs in Vaughan, ON

Data Analytics Manager information

See Vaughan, ON salary details

$43.5K

$109.7K

$168.4K

How much do data analytics manager jobs pay per year?

As of Aug 17, 2026, the average yearly pay for data analytics manager in Vaughan, ON is $109,722.00, according to ZipRecruiter salary data. Most workers in this role earn between $86,572.00 and $127,729.00 per year, depending on experience, location, and employer.

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 are the key skills and qualifications needed to thrive as a data analytics manager?

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.

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 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.

What cities near Vaughan, ON are hiring for Data Analytics Manager jobs?

Cities near Vaughan, ON with the most Data Analytics Manager job openings:

Data Analytics Manager jobs near you
Infographic showing various Data Analytics Manager job openings in Vaughan, ON as of August 2026, with employment types broken down into 80% Full Time, 18% Part Time, and 2% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $109,722 per year, or $52.8 per hour.

Data, Analytics & Platform Head

Novartis

Toronto, ON • Hybrid

Full-time

Re-posted 2 days ago

Novartis rating

7.5

Company rating: 7.5 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

64th of 86 rated pharmaceutical

Job description

Job Description Summary

Location: Toronto, #LI-Hybrid
Novartis is unable to offer relocation support for this role: please only apply if this location is accessible for you.
As Head of Data, Analytics & Platforms, you'll turn global digital strategy into local execution-owning the data backbone, platforms, and AI capabilities that power Commercial, Medical, and Value & Access teams. You'll scale trusted data, drive adoption of analytics and AI, and convert complexity into tools teams rely on to perform. This is a leadership role for someone who turns insight into action
The Head of Data, Analytics & Platforms (DAP) sits within the Execution Excellence unit, reporting to the Execution Excellence Head, and leads the country's data, digital platform, analytics, and AI agenda in close partnership with Commercial, Medical Affairs, and Value & Access. This role translates international digital strategy into local, fit for purpose execution by owning a single trusted data foundation, deploying and driving adoption of enterprise platforms, and scaling analytics and AI solutions that improve decision quality, productivity, and execution. By enabling consistent, compliant, and insight driven engagement with healthcare professionals and accelerating digital reach for priority brands, the role plays a critical part in strengthening organizational performance and helping patients access the right therapies sooner.
Permanent position,


Job Description

Key responsibilities:

  • Own and evolve a single, trusted view of businesscritical data across Commercial, Medical Affairs, and Value & Access, ensuring data quality, governance, and compliance.

  • Translate international data, digital, and AI strategy into localized roadmaps and priorities that deliver measurable business and patient impact

  • Lead the deployment, adoption, and change management of enterprise marketing, medical, and access technology platforms in alignment with global guidance.

  • Enable advanced analytics, reporting, and dashboards that improve decision quality, execution cadence, and crossfunctional performance.

  • Drive the local AI and GenAI agenda, scaling use cases that improve customer engagement, productivity, and operational excellence while ensuring responsible AI practices

  • Partner closely with Integrated Insights and international DAP teams to align KPIs, reporting standards, and technology readiness for global programs (e.g., ICE, IMEx)

  • Oversee DAP budget, vendor selection, and external partner performance, ensuring delivery against SLAs and strategic objectives

  • Ensure data and platform readiness to support medical, access, and patient service solutions in accordance with legal, privacy, and compliance requirements.

  • Build and lead a highperforming, futureready team, fostering innovation, strong adoption, and a culture of accountability and continuous improvement.

Essential Requirements:

  • Strategic agility: the successful candidate can anticipate future consequences and trends accurately; has broad knowledge and perspective; is future oriented; can clearly articulate a vision and possibilities; can create competitive and breakthrough strategies and plans

  • Has a high prioritization mindset

  • Ability to evaluate and import new/untested/innovative models

  • Experience in working with multiple internal and external stakeholders around a common goal

  • Proven track record on influencing senior leaders in complex project(s) & driving positive impact

Desirable Requirements:

  • Enterprise-level data architecture, governance and analytics foundation

  • Hands-on AI / ML capability from pilot to production

At Novartis Canada, we are determined to be a valued partner and advocate, with a deep understanding of patient needs along the entire care journey - from drug development, to diagnosis, to access and beyond. Part of the way we are doing this is by leveraging data, technology, and partnerships.

Research & Development: we focus on four core therapeutic areas: Cardiovascular, Renal & Metabolic, Immunology, Neuroscience and Oncology. We also develop and deliver treatments through other promoted and established brands, which today are helping millions of patients. Over the last three years, our average annual research and development investment in Canada was over $30 million, and we conduct clinical trial research in every region throughout Canada.

Commitment to Diversity and Inclusion: Novartis is committed to building outstanding, inclusive work environment and diverse team's representatives of the patients and communities we serve.


Skills Desired

Agility (Inactive), Agility (Inactive), Brand Analysis, Brand Awareness, Commercial Excellence, Cross-Functional Collaboration, Customer Engagement, Customer Experience (CX), Customer Insights, Data Strategies, Digital Marketing, Go-to-Market Strategies, Healthcare Needs (Inactive), healthcare outcomes (Inactive), Influencing Skills, Inspirational Leadership, Marketing Strategies, Media Campaigns, People Management, Product Launches, Product Marketing, Product Roadmap, Return on Investment (ROI), Stakeholder Engagement, Stakeholder Management {+ 1 more}

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