BMO - San Ramon, CA

posted 27 days ago

Full-time - Mid Level
San Ramon, CA
Credit Intermediation and Related Activities

About the position

The Senior Data Analyst in Analytics and Visualization at BMO Financial Group is responsible for understanding business questions and delivering insights through data visualization and analytics. This role involves designing dashboards, identifying trends, and optimizing analytics solutions to support decision-making processes. The analyst will collaborate with various teams to enhance data usability and aesthetics, translating business needs into technical specifications while providing specialized consulting and support.

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 and data visualization techniques.
  • Build various reporting dashboards using data extraction, cleaning, and visualization techniques.
  • Research and apply continuous improvement in data visualization to transform raw data into actionable insights.
  • Work with teams and stakeholders to enhance the usability and aesthetic appeal of data analytics solutions.
  • Translate business needs to technical specifications and evaluate existing data visualization systems for improvement.
  • Develop data visualizations of large datasets for intuitive presentation to decision makers.
  • Document data flow, systems, and processes to improve business/group processes.
  • Develop tools and deliver training programs for reporting tools and self-serve analytics for non-analytical end users.

Requirements

  • Typically between 5 - 7 years of relevant experience and a post-secondary degree in a related field or equivalent combination of education and experience.
  • Deep knowledge and technical proficiency in Power BI, including DAX Coding, designing and building interactive dashboards, managing filter flow in Data Models, managing Row Level Security, and leveraging Parameters.
  • Foundational proficiency in technical design optimization, decision making, and systems thinking.
  • Intermediate proficiency in data visualization, data storytelling, data mining, illustration, creative thinking, problem solving, verbal and written communication skills, collaboration and team skills, analytical and problem-solving skills, and data-driven decision making.
  • Advanced proficiency in insights design and insights development and reporting.

Benefits

  • Health insurance
  • Tuition reimbursement
  • Accident and life insurance
  • Retirement savings plans
  • Performance-based incentives
  • Discretionary bonuses
  • Other perks and rewards
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