Data Strategy & Segmentation Analyst

BMO•Peterborough, ON

1d•CA$65,600 - CA$122,600•Remote

About The Position

This is a 12 month contract role. The analyst will understand and articulate the business case of business questions and the estimated value being delivered. They will design dashboards and analyses to be performed, and appropriate visualization and analytics tools to use. The role involves identifying trends and patterns to address identified business questions and provide insights through reporting and data visualization techniques. They will work with other data and analytics professionals to optimize, refine, automate and scale analysis into repeatable analytics solutions and decision support tools. The focus is primarily on the business/group within BMO, but may have a broader, enterprise-wide focus. The role provides specialized consulting, analytical and technical support, exercising judgment to identify, diagnose, and solve problems within given rules. The analyst will work independently and regularly handle non-routine situations. Broader work or accountabilities may be assigned as needed. The role requires taking measured risks while protecting the bank by applying the Risk Management Framework in the execution of the role, in line with the Risk Culture and within the approved Risk Appetite, making sound and risk-informed decisions that align to business strategy, protect assets, and adhere to applicable policy documents, laws and regulations.

Requirements

Foundational level of proficiency: Technical design optimization.
Foundational level of proficiency: Decision Making.
Foundational level of proficiency: Systems Thinking.
Intermediate level of proficiency: Data visualization.
Intermediate level of proficiency: Data storytelling.
Intermediate level of proficiency: Data mining.
Intermediate level of proficiency: Illustration.
Intermediate level of proficiency: Creative thinking.
Intermediate level of proficiency: Problem Solving.
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.
Advanced level of proficiency: Insights design.
Advanced level of proficiency: Insights development and reporting.
Typically between 5 - 7 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.
Experience using SQL, SAS, Python and Power BI is a must.
Deep knowledge and technical proficiency gained through extensive education and business experience.

Responsibilities

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.