Data Analyst, Summer 2026 (Co-op/Internship) - 10 Weeks
About The Position
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 may be on a business/group. Thinks creatively and proposes new solutions. Exercises judgment to identify, diagnose, and solve problems within given rules. Works mostly independently. Broader work or accountabilities may be assigned as needed.
Requirements
- Strong knowledge of Python, SQL, Power BI
- Advanced Excel knowledge
- Foundational level of proficiency: Technical design optimization.
- Foundational level of proficiency: Decision Making.
- Foundational level of proficiency: Systems Thinking.
- Foundational level of proficiency: Data visualization.
- Foundational level of proficiency: Data storytelling.
- Foundational level of proficiency: Data mining.
- Foundational level of proficiency: Illustration.
- Foundational level of proficiency: Creative thinking.
- Foundational level of proficiency: Problem Solving.
- Foundational level of proficiency: Insights design.
- Foundational level of proficiency: Insights development and reporting.
- Verbal & written communication skills.
- Collaboration & team skills.
- Analytical and problem solving skills.
- Typically between 1-2 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.
- Specialized knowledge from education and/or business experience.
Nice To Haves
- AI, Machine Learning knowledge is an asset
Responsibilities
- 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.
- Thinks creatively and proposes new solutions.
- Exercises judgment to identify, diagnose, and solve problems within given rules.
- Works mostly independently.
- Broader work or accountabilities may be assigned as needed.
Benefits
- 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
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What This Job Offers
Job Type
Full-time
Career Level
Intern
Number of Employees
5,001-10,000 employees
