Application Deadline:07/30/2025

Address:4100 Gordon Baker Road

Data Analytics & Reporting

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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.
• 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.

Qualifications:

Foundational level of proficiency:

• Technical design optimization.
• Decision Making.
• Systems Thinking.
• Data visualization.
• Data storytelling.
• Data mining.
• Illustration.
• Creative thinking.
• Problem Solving.

Intermediate level of proficiency:

• Insights design.
• Insights development and reporting.
• 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.
• Technical proficiency gained through education and/or business experience.

Key Responsibilities

• 4+ years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.

• Data Acquisition and Preparation: Acquire data from various sources (databases, APIs, flat files) and perform data cleaning, transformation, and feature engineering to prepare datasets for analysis.

• Data Visualization: Create clear and compelling visualizations (using tools like Tableau, Power BI, Matplotlib, or Seaborn) to communicate insights

• Documentation: Document workflows, methodologies, and results to ensure reproducibility and knowledge sharing.

• Collaboration: Work closely with cross-functional teams to define project requirements and deliver data-driven solutions.

• Continuous Improvement: Stay up-to-date with the latest data science tools, techniques, and best practices to improve team processes and deliverables.

Technical Skills

• Programming: 4+ years of Python & JavaScript for data analysis, machine learning, and automation (e.g., Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch).

• Data Manipulation: 4+ SQL skills for querying and manipulating relational databases.

• Data Visualization: Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib, Seaborn, Plotly).

• Big Data Tools: Familiarity with big data tools (e.g., Hadoop, Spark) is a plus.

• Cloud Platforms: 3+ years of experience with cloud platforms (e.g., AWS, Google Cloud, Azure) for data storage and processing.

• Version Control: Proficiency with Git/GitHub for version control and collaboration.

$54,500.00 - $101,500.00

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

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.