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BMO

Senior Analyst, Data Analytics & Automation Solutions

  • Office
  • 6+ years

Salary

$55,500/ year

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Description

Application Deadline:

10/17/2026

Address:

100 King Street West

Job Family Group:

Data Analytics & Reporting

The successful candidate will leverage automation, AI and analytics to solve business problems for our Wealth stakeholders. Understands and articulates the business case of business questions and the estimated value being delivered. Designs analytics and automation solutions leveraging tools such as Power Automate, Power Apps, Copilot, and AWS AI capabilities. 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.

Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus.

Exercises judgment to identify, diagnose, and solve problems within given rules.

Works independently on a range of complex tasks, which may include unique situations.

Broader work or accountabilities may be assigned as needed.

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.

Requirements

  • Foundational level of proficiency:
  • SAS
  • SQL.
  • PowerBI.
  • Copilot, Copilot Studio.
  • Github, Github Copilot.
  • Anaconda.
  • Python, PySpark.
  • AWS.
  • Power Automate, Power Apps.
  • Data visualization.
  • Data storytelling.
  • Data mining.
  • Creative thinking.
  • Problem Solving.
  • Intermediate level of proficiency:
  • Creativity.
  • Insights development and design.
  • Verbal & written communication skills.
  • Collaboration & team skills.
  • Analytical and problem solving skills.
  • Data driven decision making.
  • Typically between 4 - 6 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience, however, strong new graduates with a post-graduate degree in with a math, physics, engineering or computer science degree will be considered.
  • Technical proficiency gained through education and/or business experience.

Conditions

$55,500.00 - $120,000.00

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

Where you’d work

From the office

About the company

BMO

  • Industry: FinTech

Offices in Toronto, Canada, Canada

Also hiring in Calgary, Canada, New York, United States, United States and 2 more places

2 of their 74 open roles are remote

Your chances

Worth a look before you spend an evening tailoring a CV for it.

  • 22 checks run
  • 3 red flags

Still hiring?

15 checks

2 red flags

How crowded?

7 checks

1 red flag

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  • Must-haves
Details12 facts · Role, Location, Compensation, Employment, Company
Tech stack
  • Python
  • SQL
  • AWS
  • Spark
  • Power BI
Seniority
Senior
Type
Full-time
Industry
FinTech
Specialty
Data Analyst
Region
Canada
Show 6 more factsShow less

Role

Category
Data & Analytics
Specialty
Data Analyst
Seniority
Senior
Experience
6+ years
Tech stack
  • Python
  • SQL
  • AWS
  • Spark
  • Power BI

Location

Work model
Office
Region
Canada
Offices
  • Toronto, Canada
  • Canada

Compensation

Salary
$55,500 / year
Pay period
Annual

Employment

Type
Full-time

Company

Industry
FinTech

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