Senior Data Analyst, Analytics and Visualization

$72,500 - $134,500/Yr

BMO - Chicago, IL

Full-time - Mid Level

Chicago, IL

10,001+ employees

Credit Intermediation and Related Activities

About the position

The Data Analytics & Reporting position at BMO Financial Group focuses on understanding business questions and delivering valuable insights through data visualization and reporting. The role involves designing dashboards, identifying trends, and collaborating with various teams to enhance data analytics solutions. The position requires a blend of technical skills and business acumen to translate business needs into actionable insights, ultimately supporting decision-making processes within the organization.

Responsibilities

• Understand and articulate the business case of business questions and the estimated value being delivered.
• Design dashboards and analyses, selecting appropriate visualization and analytics tools.
• Identify trends and patterns to address business questions and provide insights through reporting.
• Work with data and analytics professionals to optimize and automate analysis into repeatable solutions.
• Build reporting dashboards using data extraction, cleaning, and visualization techniques.
• Select, configure, and implement analytics solutions for consistency and repeatability.
• Research and apply continuous improvement in data visualization techniques.
• Collaborate with teams and stakeholders to enhance usability and aesthetic appeal of analytics solutions.
• Translate business needs to technical specifications and evaluate existing data visualization systems.
• Develop data visualizations of large datasets for intuitive presentation to decision makers.
• Document data flow, systems, and processes to improve design and management of business processes.
• Develop tools and deliver training programs for reporting tools and self-serve analytics.

Requirements

• Typically between 5 - 7 years of relevant experience in data analytics and reporting.
• Post-secondary degree in a related field or equivalent combination of education and experience.
• Deep knowledge and technical proficiency in data visualization, particularly with Power BI (DAX Coding, interactive dashboards, managing filter flow, Row Level Security, leveraging parameters).
• Foundational proficiency in technical design optimization, decision making, and systems thinking.
• Intermediate proficiency in data storytelling, data mining, illustration, creative thinking, problem solving, and verbal/written communication.

Nice-to-haves

• Experience in delivering training to non-analytical end users.
• Familiarity with advanced data visualization techniques and tools.

Benefits

• Health insurance
• Tuition reimbursement
• Accident and life insurance
• Retirement savings plans