1

Senior Manager Data Analytics Jobs in Ontario (NOW HIRING)

The Manager, Data and Analytics, Retail Credit Risk, GRM will be responsible for monitoring and ... The incumbent will deliver ongoing portfolio reporting and monitoring to senior management, as well ...

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 ...

Senior Business Data Analyst Position Summary Reporting to the Director or Senior Manager, Data Governance, the Senior Business Data Analyst ensures business applications provide complete, accurate ...

Reporting to the Senior Manager, Data Lead, this role is responsible for executing against the data ... Experienced in data product management, data analysis, data governance and / or data engineering ...

161 Bay Street (93021), Canada, Toronto,Toronto, Ontario, Senior Manager, Data Science About ... Working with various teams to analyze large swaths of data in order to optimize various business ...

next page

Showing results 1-20

Senior Manager Data Analytics information

What does a senior manager data analytics do?

A Senior Manager Data Analytics leads teams that analyze large sets of data to help organizations make informed business decisions. They develop analytics strategies, oversee data projects, and ensure the quality and integrity of data-driven insights. This role often involves collaborating with other departments, mentoring analysts, and presenting key findings to senior leadership. Senior Managers in this field need strong technical skills, leadership abilities, and business acumen to drive impactful results.

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

To thrive as a Senior Manager Data Analytics, you need advanced expertise in data analysis, statistical modeling, and business intelligence, typically supported by a degree in a quantitative field and several years of analytics experience. Proficiency with analytics tools such as SQL, Python, R, and platforms like Tableau or Power BI, as well as experience with data warehousing systems, is essential. Strong leadership, strategic thinking, and communication skills enable you to guide teams and translate complex findings into actionable business insights. These competencies are crucial for driving data-informed decision-making and maximizing organizational value from analytics initiatives.

How does a senior manager data analytics typically collaborate with cross-functional teams within an organization?

Senior Managers of Data Analytics frequently work alongside cross-functional teams such as IT, product development, marketing, and finance to ensure that data-driven insights align with business objectives. They are responsible for translating complex analytical findings into actionable recommendations and communicating these insights clearly to both technical and non-technical stakeholders. Regular collaboration often involves leading meetings, setting project priorities, and ensuring data initiatives are integrated smoothly with ongoing business strategies. This collaborative environment fosters innovation and helps drive organizational growth.

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

AspectSenior Manager Data AnalyticsData Analyst
Required CredentialsBachelor's/Master's in Data Science, Analytics, or related field; extensive experienceBachelor's degree in related field; entry to mid-level experience
Work EnvironmentLeadership roles, strategic planning, team managementData collection, analysis, reporting
Employer & Industry UsageCorporate, finance, healthcare, tech companiesVarious industries, including marketing, finance, tech
Common Search & ComparisonOften compared for leadership and strategic rolesCompared for technical and analytical skills

The main difference between Senior Manager Data Analytics and Data Analyst lies in their responsibilities and experience level. Senior Managers focus on strategic oversight, team leadership, and decision-making, while Data Analysts handle data collection, analysis, and reporting at a more technical level. Senior Managers typically have more experience and credentials, working in leadership roles within organizations across various industries.

What are popular job titles related to Senior Manager Data Analytics jobs in Ontario?

For Senior Manager Data Analytics jobs in Ontario, the most frequently searched job titles are:

What job categories do people searching Senior Manager Data Analytics jobs in Ontario look for?

The top searched job categories for Senior Manager Data Analytics jobs in Ontario are:

What cities in Ontario are hiring for Senior Manager Data Analytics jobs?

Cities in Ontario with the most Senior Manager Data Analytics job openings:

Infographic showing various Senior Manager Data Analytics job openings in Ontario as of August 2026, with employment types broken down into 80% Full Time, 19% Part Time, and 1% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution.

Senior Manager, Data Analytics

Walmart

Mississauga, ON • On-site

Full-time

Re-posted 22 days ago


Walmart rating

6.0

Company rating: 6.0 out of 10

Based on 22,498 frontline employees who took The Breakroom Quiz

25th of 39 rated national retailers


Job description

Position Summary...The Senior Manager, Data Analyst (IC) supports the Canadian Technology Data Engineering team by leading complex analytics initiatives end to end-translating ambiguous business problems into actionable, data driven solutions and measurable outcomes. This role partners with technical and business stakeholders to define the "right questions," ensure trusted data sources, and deliver insights through scalable reporting, automation, and storytelling.What you'll do...

Strategic analytics leadership (hands-on)

  • Lead discovery with stakeholders to clarify problem statements, define success measures, and translate needs into analytical approaches and deliverables.
  • Translate complex requirements into analytical, data, or mathematical solutions; select methods and tools appropriate to context and constraints.
  • Drive clarity on trusted data sources and data definitions to improve consistency and reduce rework across teams.

Data sourcing, quality, and governance

  • Identify and evaluate internal/external data sources; implement repeatable approaches for acquiring and integrating data, ensuring accuracy, completeness, and accessibility.
  • Plan and lead efforts to improve data quality and integrity; define, monitor, and remediate data quality metrics and issues.
  • Coordinate and support security measures to safeguard information against accidental or unauthorized modification/disclosure.

Execution & operational excellence

  • Manage multiple concurrent initiatives by developing plans, defining performance measures, monitoring progress, and adapting approaches.
  • Partner closely with Data Engineering, Solution Architecture, Quality Automation Specialists (and related functions) to ensure analytics outputs are reproducible, welldocumented, and scalable.

Enablement

  • Mentor and lead analysts/engineers informally via standards, templates, reviews, and knowledge sharing-without direct managerial accountability.
  • Communicate complex analysis in clear business terms; influence stakeholders with evidence and practical examples of solution value.
Minimum Qualifications
  • Bachelor's degree in a quantitative field (e.g., Statistics, Mathematics, Computer Science, Engineering, Economics) or equivalent practical experience. (Suggested)
  • Strong experience in Retail (Brick & Mortar and eCommerce) and as a Data Analyst (12+ years)
  • Advanced analytics experience building insights and automation using SQL plus a scripting language (e.g., Python/R).
  • Strong experience presenting to senior stakeholders.
  • Demonstrated experience establishing/leading data quality and governance practices in partnership with stakeholders.
Preferred Qualifications
  • Experience with GCP / BigQuery and working across disparate data platforms.
  • Experience with hypothesis testing, statistical inference, predictive/prescriptive analytics, and/or experimentation.
  • Experience standardizing metrics definitions and improving "single version of truth" reporting across teams.
  • Experience with Generative and Agentic AI
Core Competencies
  • Consulting mindset; stakeholder influence without authority
  • High judgment on data quality, privacy/security, and risk
  • Strong storytelling and executive communication
  • Operates independently; thrives in ambiguity; delivers measurable outcomes


Leadership Expectations:
Respect the Individual:
Demonstrates and encourages respect for all; builds a high-performing team; seeks, and embraces differences in people, cultures, ideas and experiences; creates a workplace and experiences where all associates feel seen, supported and connected through culture of belonging so associates thrive and perform; drives a positive associate and customer experience for all; identifies, attracts, and retains the best team members.
Creates a discipline and focus around developing talent, through feedback, coaching, mentoring, and developmental opportunities; promotes an environment allowing everyone to bring their best selves to work; empowers associates and partners to act in the best interest of the customer and company; and regularly recognizes others' contributions and accomplishments.
Builds strong and trusting relationships with team members and business partners; works collaboratively and cross-functionally to achieve objectives; and communicates and listens attentively, with energy and positivity to motivate, influence, and inspire commitment and action.
Acts with Integrity:
Maintains and promotes the highest standards of integrity, ethics and compliance; models the Walmart values and leads by example to foster our culture;supports Walmart's goal of becoming a regenerative company by making a positive impact for associates, customers, and the world around us (e.g., creating a sense of belonging, eliminating waste, participating in local giving).
Follows the law, our code of conduct and company policies, and sets expectations for others to do the same; promotes an environment where associates feel comfortable sharing concerns and reinforces our culture of non-retaliation; listens to concerns raised by associates. takes action and encourages others to do the same; holds self and others accountable for achieving results in a way that is consistent with our values.
Acts as an altruistic servant leader and is consistently humble, self-aware, honest, and transparent.
Serve our Customers:
Delivers expected business results while putting the customer first and consistently applying an omni-merchant mindset and acts with an Every Day Low Cost mindset to drive value and Every Day Low Prices for customers.
Adopts a holistic perspective that considers data, analytics, customer insights, and different parts of the business when making plans and shaping the team's strategy.
Strive for Excellence:
Consistently raises the bar and seeks to improve; demonstrates curiosity and a growth mindset; seeks feedback, asks thoughtful questions, fosters an environment that supports learning, innovation, and learning from mistakes, and intelligent risk-taking; and exhibits resilience in the face of setbacks.
Seeks and implements continuous improvements and encourages the team to leverage new digital tools and ways of working.

The pay range for this position is $109,400.00 - $150,480.00. Pay will be determined based on relevant experience.L'echelle salariale pour ce poste est de 109,400.00 a 150,480.00. La remuneration sera determinee en fonction de l'experience pertinente.Minimum Qualifications...

Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.

Preferred Qualifications...

Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.

Walmart will accommodate the disability-related needs of applicants and associates as required by law.

Primary Location...

1940 Argentia Rd, Mississauga, ON L5N 1P9, CanadaAre you currently a Walmart associate?Please login to your Workday account and use the Find Jobs report to apply for this job.
  • Find Jobs

Important Note: To support resume screening, interviews and other candidate evaluations, we may use artificial intelligence-powered tools, including internal or third-party developed automated decision-making tools. For more information, please see Walmart Canada Job Applicant Privacy Notice.


What Walmart employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Walmart logo

About Walmart

Sourced by ZipRecruiter

From our humble beginnings as a small discount retailer in Rogers, Ark., Walmart has opened thousands of stores in the U.S. and expanded internationally. Through innovation, we're creating a seamless experience to let customers shop anytime and anywhere online and in stores. We are creating opportunities and bringing value to customers and communities around the globe. Walmart operates approximately 10,500 stores and clubs in 19 countries and eCommerce websites. We employ 2.1 million associates around the world — nearly 1.6 million in the U.S. alone.

Industry

Retail and transportation and warehousing

Company size

10,000+ Employees

Headquarters location

Bentonville, AR, US

Social media