Senior Business System Analyst

JobCubby; Toronto; Hybrid; CAD 70,000 - 150,000; Full time

Benefits offered by this job

Health insurance

Tuition reimbursement

Accident insurance

Life insurance

Retirement savings plans

Job summary

BMO Financial Group in Canada is seeking a senior data engineering professional to shape and implement enterprise-scale data solutions. You will design technical solutions, lead analysis and design phases, and map inputs/outputs while mentoring junior analysts.

Experience in data warehousing, data modeling, and big data tools is essential. The role offers competitive compensation, health insurance, and retirement benefits as part of a broad total rewards program.

Qualifications

• 5 - 7 years of relevant experience and IT education and/or certification(s).
• 5+ years of experience in SQL, NoSQL, Python, Scala.
• Ability to collect, organize, analyze, and disseminate data.
• Experience in data warehousing, data modeling, and data mapping.
• Applied knowledge of problem decomposition and analysis techniques.
• Experience with SSIS, Spark, Unix/Linux scripting, cloud computing services (e.g. AWS), Hadoop, Netezza.
• Familiarity with structured and non-structured datastore technologies.
• Strong documentation, communication, collaboration, and problem-solving skills.
• Ability to prioritize work and manage multiple work streams concurrently.

Responsibilities

• Develop and document the technical design of a solution that solves a business problem
• Lead in the analysis and design phases of the software development life cycle
• Identify, interpret, and map all required input and output data
• Create data models and mapping documents
• Provide direction, coaching, and guidance junior analysts
• Strengthen development capability via mentoring, knowledge sharing, and building communities of practice
• Stay abreast of industry technical and business trends

Skills

Documentation & comms

Problem solving

Prioritization

Analytical thinking

Education

IT education and/or certification(s)

Tools

SQL

NoSQL

Python

Scala

SSIS

Spark

Unix/Linux scripting

AWS

Hadoop

Netezza

Job description

Application Deadline: 10/29/2026

Address: 4100 Gordon Baker Road

Job Family Group: Technology

About the team

Data and AI Technology (DAT) Engineering supports BMO's Digital-First, risk, regulatory and compliance requirements by providing enterprise-scale solutions using data, analytics, and technology capabilities. As a central organization, DnA collaborates with groups across the bank such as Finance, Risk, AML, FCU, HR, Marketing, Wealth, Capital Markets, Personal and Business Banking, Global Asset Management, etc. on various data initiatives. We deliver hundreds of data transformation initiatives every year to help our partners solve problems and make smarter data-driven decisions.

We are a very diverse organization with plenty of exciting opportunities to apply your unique skills to solve complex business problems. There are plenty of opportunities to grow and learn from others as DnA is on a transformational journey to modernize our platforms and capabilities toward a best-in-class, cloud-based data warehousing environment. If you love data, complex challenges, cutting-edge technologies, and opportunities to learn, then this is the team you want to be in.

What will you do

• Develop and document the technical design of a solution that solves a business problem
• Lead in the analysis and design phases of the software development life cycle
• Identify, interpret, and map all required input and output data
• Create data models and mapping documents
• Provide direction, coaching, and guidance junior analysts
• Strengthen development capability via mentoring, knowledge sharing, and building communities of practice
• Stay abreast of industry technical and business trends

What do you need to succeed?

• 5 - 7 years of relevant experience and IT education and/or certification(s)
• 5+ years of experience in one or more of SQL, NoSQL, Python, Scala
• Ability to collect, organize, analyze, and disseminate data
• Experience in data warehousing, data modeling, and data mapping
• Applied knowledge of problem decomposition and analysis techniques
• Experience with SSIS, Spark, Unix/Linux scripting, cloud computing services (e.g. AWS), Hadoop, Netezza
• Familiarity with structured and non-structured datastore technologies
• Strong documentation, communication, collaboration, and problem-solving skills
• Ability to prioritize work and manage multiple work streams concurrently

Nice to have

• Knowledge of technical/business environment and processes
• Comprehension of predictive analytics and AI/ML

Salary

$70,000.00 - $150,000.00

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.