1

Product 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 must have a good knowledge of the bank's lending products, including Credit Cards ...

Manager, Data Analytics Data Analyst plays a critical role in enabling enterprise-wide data-driven ... Experience supporting commercial, pricing, customer, product, or portfolio analytics with an ...

Manager, Data Analytics Data Analyst plays a critical role in enabling enterprise-wide data-driven ... Experience supporting commercial, pricing, customer, product, or portfolio analytics with an ...

The Role The Manager, Data Analytics supports the design, development and production of operational metrics, executive reporting, and management insights to drive performance and to measure and ...

You will work closely with business stakeholders, analysts, data scientists, and cross-functional ... A strong focus on data security and privacy is essential, ensuring sensitive information is managed ...

Experienced in data product management, data analysis, data governance and / or data engineering within a banking or financial services environment, with a focus on translating business requirements ...

Senior Product Manager

Toronto, ON ยท Hybrid

CA$110K - CA$140K/yr

Shape the product strategy and roadmap for real world data analytics products. * Utilize Real World ... Life Sciences & RWD product management is a collaborative and cross disciplinary team that executes ...

next page

Showing results 1-20

Product Manager Data Analytics information

What is a product manager data analytics?

A Product Manager Data Analytics is a professional responsible for overseeing the development, strategy, and success of data analytics products or features within an organization. They work at the intersection of business, technology, and data, collaborating with data scientists, engineers, and stakeholders to define product vision, prioritize features, and ensure analytics solutions meet user and business needs. Their role involves understanding market trends, user requirements, and translating complex data insights into actionable product enhancements. Ultimately, they drive the product lifecycle to deliver value through data-driven decision making.

How does a product manager data analytics typically collaborate with data scientists and engineers on a project?

As a Product Manager in Data Analytics, you serve as the bridge between business stakeholders and technical teams. You'll work closely with data scientists to define project objectives, ensure that analytical models align with business needs, and prioritize features based on user impact. Collaboration with data engineers is essential for understanding data infrastructure requirements and ensuring reliable data pipelines. Regular communication, sprint planning, and joint problem-solving sessions are core to fostering alignment and delivering successful analytics solutions.

What are the key skills and qualifications needed to thrive as a product manager data analytics, and why are they important?

To thrive as a Product Manager in Data Analytics, you need a strong background in data analysis, product lifecycle management, and business strategy, often supported by a degree in business, computer science, or a related field. Familiarity with data visualization tools (like Tableau or Power BI), SQL, and experience with analytics platforms are typically required, and certifications such as Certified Scrum Product Owner (CSPO) can be advantageous. Exceptional communication, problem-solving, and stakeholder management skills help you bridge technical teams and business objectives. These abilities are crucial for delivering data-driven products that meet user needs and provide measurable business value.

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

AspectProduct Manager Data AnalyticsData Analyst
Primary FocusOverseeing data-driven product strategies and roadmapsAnalyzing data to generate reports and insights
Skills & CertificationsProduct management, data analytics, SQL, communicationData analysis, SQL, Excel, visualization tools
Work EnvironmentCross-functional teams, product development cyclesData teams, business units, reporting environments
Industry UsageTech, e-commerce, SaaS companiesFinance, marketing, healthcare, tech

Product Manager Data Analytics focuses on guiding product strategies using data insights, while Data Analysts primarily analyze data to produce reports. Both roles require analytical skills and familiarity with data tools, but their responsibilities and scope differ significantly.

Do product managers do data analysis?

Product managers often perform data analysis to inform product decisions, track performance metrics, and understand user behavior. They use tools like SQL, Excel, or analytics platforms to interpret data and prioritize features, but they typically collaborate with data analysts or data scientists for complex analysis. Strong analytical skills are valuable in this role to support data-driven decision-making.

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

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

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

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

Infographic showing various Product 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.

Manager, Data Analytics

BMO Capital Markets

Toronto, ON โ€ข Hybrid

Full-time

Medical, Life, Retirement

Posted 9 days ago


Key responsibilities

  • Develop, maintain, and optimize reporting suites and dashboards across business units.

  • Design and execute measurement frameworks for marketing campaigns and analyze multi-channel performance.

  • Collaborate with teams to validate data pipelines, troubleshoot discrepancies, and ensure data integrity.


Job description

Application Deadline:

09/09/2026

Address:

33 Dundas Street West

Job Family Group:

Data Analytics & Reporting

This is a 12 month contract hybrid role in Toronto


Reporting & Dashboarding
Develop, maintain, and optimize standardized reporting suites and executive dashboards across key business units
Automate recurring reports using BI tools to improve efficiency and reduce manual intervention
Ensure consistency, accuracy, and traceability of KPIs across all reporting outputs


Campaign Measurement & Analytics
Design and execute measurement frameworks for marketing campaigns (e.g., attribution models, incrementality testing, ROI analysis)
Partner with Marketing, Product, and Digital teams to evaluate campaign effectiveness and provide actionable recommendations
Analyze multi-channel performance including email, paid media, web, and mobile channels
Data Management & Governance
Ensure adherence to internal data governance policies and external regulatory requirements (e.g., privacy, consent, and data usage standards)
Collaborate with data engineering teams to validate data pipelines, troubleshoot discrepancies, and ensure data integrity
Support audit processes by maintaining documentation and lineage of reporting logic
Insights & Storytelling
Translate complex datasets into clear, concise insights tailored for executive and non-technical audiences
Identify trends, risks, and opportunities to drive business growth and improve customer experience
Proactively recommend optimization strategies based on performance data
Stakeholder Management
Partner with cross-functional teams including Risk, Compliance, Finance, and Technology
Gather and document business requirements for reporting and measurement needs
Act as a subject matter expert for reporting methodologies and performance metrics

Understands and articulates the business case of business questions and the estimated value being delivered. Designs dashboards and analyses to be performed, and appropriate visualization and analytics tools to use. Identifies trends and patterns to address identified business questions and provide insights through reporting and data visualization techniques. Works with other data and analytics professionals to optimize, refine, automate and scale analysis into repeatable analytics solutions and decision support tools.

  • Builds various reporting dashboards using the most appropriate data extraction, data cleaning and data visualisation techniques.
  • Provides value through insights, reporting and data visualization techniques. Selects, configures and implements analytics solutions for consistency and repeatability.
  • Researches and applies continuous improvement in data visualization by identifying trends and patterns to transform raw data into actionable business insights.
  • Works with different teams, management and stakeholders to enhance the usability and aesthetic appeal of data analytics solutions deployed in the organization.
  • Translates business needs to technical specifications and evaluates existing data visualization systems in order to improve them.
  • Develops data visualizations of "large" amounts of data that facilitate the intuitive presentation of data to decision makers.
  • Documents data flow, systems and processes to improve the design, implementation and management of business/group processes.
  • Develops tools and delivers training programs for use of reporting tools and self-serve analytics by non-analytical end users; may include delivery of training to audiences.
  • Fosters a culture aligned to BMO purpose, values and strategy and role models BMO values and behaviours in all that they do.
  • Ensures alignment between values and behaviour that fosters diversity and inclusion.
  • Regularly connects work to BMO's purpose, sets inspirational goals, defines clear expected outcomes, and ensures clear accountability for follow through.
  • Builds interdependent teams that collaborate across functional and operating groups to create the highest value for all stakeholders.
  • Attracts, retains, and enables the career development of top talent.
  • Improves team performance, recognizes and rewards performance, coaches employees, supports their development, and manages poor performance.
  • Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus.
  • Provides specialized consulting, analytical and technical support.
  • Exercises judgment to identify, diagnose, and solve problems within given rules.
  • Works independently and regularly handles non-routine situations.
  • Broader work or accountabilities may be assigned as needed.
  • Take measured risks while protecting the bank by applying our Risk Management Framework in the execution of your role, in line with our Risk Culture and within our approved Risk Appetite, making sound and risk informed decisions that align to business strategy, protect assets, and adhere to applicable policy documents (Frameworks, Policies, Standards, Procedures and Supporting documents), laws and regulations.

Qualifications:

Required
Bachelor's degree in Business, Analytics, Statistics, Economics, or related field
3-5+ years of experience in reporting, analytics, or measurement (preferably within financial services)
Strong proficiency in SQL and experience with large datasets
Hands-on experience with BI tools (e.g., Tableau, Power BI, Looker)
Solid understanding of campaign measurement methodologies (e.g., A/B testing, attribution models)
Advanced Excel skills (pivot tables, modeling, data manipulation)
Preferred
Experience working within a regulated environment (e.g., banking, insurance, wealth management)
Familiarity with customer data platforms (CDPs) and marketing automation tools
Knowledge of statistical analysis tools (e.g., Python, R)
Understanding of privacy regulations (e.g., GDPR, PIPEDA)

Salary:

$69,000.00 - $129,000.00

Pay Type:

Salaried

The above represents BMO Financial Group's pay range and type.

Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group's expected target for the first year in this position.

BMO Financial Group's total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit:https://jobs.bmo.com/global/en/Total-Rewards

About Us

At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one - for yourself and our customers. We'll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we'll help you gain valuable experience, and broaden your skillset.

To find out more visit us at https://jobs.bmo.com/ca/en.

BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other's differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.