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Remote Data Analytics Manager Jobs in Toronto, ON

Manager, Data Analytics Data Analyst plays a critical role in enabling enterprise-wide data-driven decision-making by managing and advancing McKesson's data assets. This position is responsible for ...

Manager, Data Analytics Data Analyst plays a critical role in enabling enterprise-wide data-driven decision-making by managing and advancing McKesson's data assets. This position is responsible for ...

London, ON | Hybrid/Remote | StarTech.com StarTech.com is continuing to grow our Data Analytics ... Interview with the Hiring Manager (45-60 minutes) * Final Interview - Director, Market Research ...

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Sr. Data Specialist

Mississauga, ON · On-site +1

CA$99K - CA$132K/yr

Design and deploy cloud-native data applications and pipelines using Azure and Databricks to enable advanced analytics and digital capabilities across pharmaceutical business domains. * Manage ...

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Remote Data Analytics Manager information

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

AspectRemote Data Analytics ManagerRemote Data Analyst
Required CredentialsBachelor's or Master's in Data Science, Analytics, or related field; leadership experienceBachelor's in Data Science, Statistics, or related field; technical skills
Work EnvironmentOversees teams, manages projects, strategic planningPerforms data analysis, reports, data cleaning
Employer & Industry UsageTech companies, finance, healthcare, retailSame industries, often entry to mid-level roles

The Remote Data Analytics Manager focuses on leading teams and strategic oversight, while the Remote Data Analyst handles data processing and reporting tasks. Both roles require strong analytical skills, but the manager position emphasizes leadership and project management, making it suitable for those with experience in team coordination and strategic planning.

What does a remote data analytics manager do?

A Remote Data Analytics Manager oversees a team of data analysts and manages data projects from a remote location. They are responsible for collecting, analyzing, and interpreting complex data to help organizations make informed business decisions. This role involves collaborating with various departments, setting analytics strategies, ensuring data quality, and presenting actionable insights to stakeholders. Remote Data Analytics Managers use a variety of tools and platforms to facilitate teamwork and maintain clear communication despite not being physically present in the office.

What are some common challenges faced by remote data analytics managers, and how can they be addressed?

Remote Data Analytics Managers often encounter challenges related to team communication and project coordination due to different time zones and limited face-to-face interaction. To address these issues, it’s important to establish clear communication protocols, use collaborative project management tools, and schedule regular check-ins to ensure alignment. Additionally, fostering a culture of transparency and encouraging proactive sharing of information helps keep all team members engaged and informed. By prioritizing these practices, remote managers can effectively lead their teams and maintain productivity.

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

To thrive as a Remote Data Analytics Manager, you need strong analytical skills, expertise in statistics, and a solid background in data management, typically supported by a degree in a quantitative field and experience in analytics leadership. Proficiency with data visualization tools (like Tableau or Power BI), SQL, and data analytics platforms, along with certifications such as Certified Analytics Professional (CAP), is highly beneficial. Excellent communication, leadership, and problem-solving skills help you effectively manage remote teams and translate complex data insights into actionable business strategies. These skills ensure data-driven decision-making, team productivity, and successful project outcomes in a virtual environment.
What are popular job titles related to Remote Data Analytics Manager jobs in Toronto, ON? For Remote Data Analytics Manager jobs in Toronto, ON, the most frequently searched job titles are:
What job categories do people searching Remote Data Analytics Manager jobs in Toronto, ON look for? The top searched job categories for Remote Data Analytics Manager jobs in Toronto, ON are:
Infographic showing various Remote Data Analytics Manager job openings in Toronto, ON as of August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution.

Manager, Data Analytics

McKesson

Mississauga, ON • Remote

Full-time

Posted 5 days ago


McKesson rating

7.9

Company rating: 7.9 out of 10

Based on 209 frontline employees who took The Breakroom Quiz

47th of 86 rated pharmaceutical


Job description

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care.

What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you.

Job Title: Manager, Data Analytics

Data Analyst plays a critical role in enabling enterprise-wide data-driven decision-making by managing and advancing McKesson's data assets. This position is responsible for identifying, capturing, analyzing, and organizing data to support strategic and operational objectives. The role ensures adherence to information governance standards and leverages advanced analytics to uncover trends, patterns, and insights that inform key business decisions. The analyst designs and maintains relational databases, creates dashboards and reports, and implements statistical models to guide decision-making. Collaborating with governance teams, data stewards, and business stakeholders, this position drives improvements in data quality, accessibility, and usability while influencing best practices across the organization.

Job Responsibilities:

What You'll Do:

  • Manage and advance the data fabric to organize, integrate, and deliver enterprise data assets.
  • Design, create, and maintain relational databases and data systems, ensuring scalability and reliability.
  • Implement and apply statistical models to identify trends, patterns, and relationships that support decision-making.
  • Contribute to the management of central data stores and metadata, establishing and enforcing quality expectations.
  • Identify opportunities to improve data quality, including automation and procedural enhancements for data entry and validation.
  • Develop and implement techniques for data collection, accuracy, and management, ensuring compliance with governance standards.
  • Accountable for data accessibility, profiling, and reporting of quality issues, driving remediation strategies.
  • Collaborate with data governance, stewards, and business systems to propose and implement solutions for data quality improvement.
  • Recommend analytics opportunities and best practices, influencing enterprise adoption of advanced analytics.
  • Ensure development of solutions that enable actionable insights, supporting strategic and operational decision-making.

What We're Looking For: Minimum Requirements:

  • Bachelor's degree or equivalent combination of education and experience; advanced degree preferred.
  • Typically requires 7+ years of relevant professional experience advancing data programs, including quality management, integration pipelines, and cloud data warehousing for scalable analytics.

Critical Skills/Experience:

  • Advanced capability in data modeling and database design for complex analytical systems.
  • Proficiency in data quality management programs, including accuracy, completeness, and timeliness checks.
  • Advanced capability in cloud data warehousing and performance optimization for large-scale analytics.
  • Proficiency in metadata management and lineage documentation for compliance and governance.
  • Ability to implement advanced data integration pipelines and monitor data flow reliability.
  • Competence in Business Function Knowledge, Customer & Business Driven, Problem Solving, Building Relationships, Adaptability, Digital Acumen, and Creativity.
  • Clear written and verbal communication tailored to both business and technical audiences.

Technical Expertise:

  • Advanced experience leveraging Databricks, Snowflake, and SQL to develop scalable analytical datasets, models, and reporting solutions.
  • Strong proficiency with Power BI to deliver executive-ready dashboards, KPIs, and self-service analytics capabilities.
  • Demonstrated ability to partner closely with business stakeholders to frame problems, identify opportunities, and translate data into actionable recommendations.
  • Experience supporting commercial, pricing, customer, product, or portfolio analytics with an understanding of how insights drive business performance and decision-making.
  • Proven ability to work independently in ambiguous environments, balancing technical execution with strategic business consultation to deliver measurable outcomes.

We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, pleaseclick here.

Our Base Pay Range for this position

$99,100 - $132,100

McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson's (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind:
McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application.


McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates.

McKesson job postings are posted on our career site: careers.mckesson.com.

McKesson is an Equal Opportunity Employer

McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page.

McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) Disability_Accommodation@McKesson.com or (Canada) Accessibility@mckesson.ca. Resumes or CVs submitted to this email box will not be accepted.

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