Analyst, Business Analytics and Reporting

BMO•Toronto, ON

1d•CA$56,000 - CA$103,500•Hybrid

About The Position

This is a hybrid position with expectation of working in office 2.5 days a week. Understands and articulates the business case of business questions and the estimated value being delivered. Enhances and improves existing reporting as requested by stakeholders. Designs dashboards and analyses to be performed, and appropriate visualization and analytics tools to use. Leverages process outcomes to perform data analysis and shares with market leaders. 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 visualization 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.

Requirements

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.
Intermediate level of proficiency: Insights design.
Intermediate level of proficiency: Insights development and reporting.
Intermediate level of proficiency: Verbal & written communication skills.
Intermediate level of proficiency: Collaboration & team skills.
Intermediate level of proficiency: Analytical and problem solving skills.
Intermediate level of proficiency: 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.
SQL
SAS

Nice To Haves

SSRS
Shell
Lending & RISR qualification for more than 1.5 years is an asset.

Responsibilities

Understands and articulates the business case of business questions and the estimated value being delivered.
Enhances and improves existing reporting as requested by stakeholders.
Designs dashboards and analyses to be performed, and appropriate visualization and analytics tools to use.
Leverages process outcomes to perform data analysis and shares with market leaders.
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 visualization 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.