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Data Governance Specialist (Data Analytics) - BMO Insurance

BMO Open
Toronto Full-time Mid-level Data Analysis & BI

At a glance

Mid-level Data Analysis & BI role at BMO. Toronto · full-time · CA$55,500–CA$120,000 base.

SalaryStated by BMO
CA$55,500 – CA$120,000
Base salary for this role, in CAD per year, as published in the posting.
This role, from BMOOur estimate for the market: CA$75,000–CA$102,125Median CA$90,750
The range includes the market median of CA$90,750 for mid-level data analysis & BI roles in Toronto.
Worked out from 48 postings that stated pay, median CA$90,750. Last updated Nov 13, 2026.
RoleData Analysis & BI
SeniorityMid-level
LocationToronto
EmploymentFull-time
Base payCA$55,500–CA$120,000
PostedNov 13, 2026
Role brief

dataroles summary, based on the employer's posting.

What you'll do

  • Improve governance rules and controls with data owners, stewards, business teams and technology partners
  • Document metadata, business definitions, data lineage, data flows and source-to-target mappings
  • Investigate data quality and reporting problems, then help teams resolve them
  • Build Power BI dashboards and use SQL, Python and Power Automate to analyze data and streamline reporting
  • Validate and reconcile data, turning business needs into practical governance and analytics solutions

What you bring

  • Post-secondary study in a related discipline, or equivalent professional experience
  • Around four to six years in analytics, business intelligence, governance, data management, reporting or a related area
  • Hands-on Power BI skills covering DAX, Power Query, data modeling, dashboards and visualization
  • Strong SQL, relational database experience and working Python knowledge
  • Experience with workflow automation and understanding of data governance, ETL, integration and data validation

Who this fits

This mid-level role suits someone who can combine governance work with hands-on analytics and reporting, and communicate findings to technical and non-technical partners. The job is based in Toronto, and the listing gives a street address.

From the employer

Application Deadline:

11/26/2026

Address:

250 Yonge Street

Job Family Group:

Data Analytics & Reporting

#bmoinsurance

We are seeking a Data Governance Specialist (Data Analytics) to join our Data Governance & Reporting team.


This role combines data governance with hands-on analytics, reporting, and automation to help ensure data is accurate, well-managed, accessible, and effectively used to support business decisions. The successful candidate will work with business and technology partners to improve data quality, metadata, data lineage, reporting, and governance practices while developing analytical solutions using Power BI, SQL, Python, and Power Automate.

Key Responsibilities

  • Support the implementation and ongoing improvement of data governance policies, standards, processes, and controls.
  • Partner with data owners, data stewards, business teams, and technology partners to improve data quality, integrity, usability, and accountability.
  • Maintain and document metadata, business definitions, data lineage, data flows, and source-to-target mappings.
  • Identify, investigate, and support the resolution of data quality and reporting issues.
  • Develop and maintain Power BI dashboards and reports that provide meaningful business insights.
  • Use SQL, Python, Power Query, and DAX to extract, transform, analyze, validate, and visualize data.
  • Develop automated workflows using Power Automate and other technologies to improve reporting and data-management processes.
  • Perform data reconciliation and validation to ensure the accuracy and reliability of analytical and reporting solutions.
  • Translate business requirements into practical governance, reporting, and analytical solutions.
  • Collaborate with cross-functional teams and communicate data insights and technical concepts clearly to both technical and non-technical audiences.

Required Qualifications

  • Post-secondary education in Data Analytics, Data Science, Computer Science, Information Management, Business Analytics, or a related discipline, or equivalent professional experience.
  • Approximately 4–6 years of relevant experience in data analytics, business intelligence, data governance, data management, reporting, or a related field.
  • Hands-on experience with Power BI, including DAX, Power Query, data modeling, dashboards, and data visualization.
  • Strong SQL skills and experience working with relational databases.
  • Working knowledge of Python for data analysis, transformation, validation, or automation.
  • Experience with Power Automate or similar workflow-automation technologies.
  • Understanding of data governance concepts such as data quality, metadata management, data lineage, data classification, privacy, and data lifecycle management.
  • Experience working with ETL processes, data integration, data validation, and analytical datasets.
  • Strong analytical, problem-solving, communication, and stakeholder-management skills.
  • Ability to work independently, manage multiple priorities, and collaborate effectively across business and technology teams.
  • Experience with SharePoint and Microsoft 365 would be beneficial.
  • Knowledge of Informatica, an enterprise cloud data management and data integration platform, would be considered an asset.
  • Insurance industry knowledge or experience would be considered an asset.


Salary:

$55,500.00 - $120,000.00

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.

Opportunity

Data Analysis & BI work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Data Analysis & BI

Find me work

By the team behind dataroles.

Find me work
Opportunity

Data Analysis & BI work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind dataroles.