Database Analyst

BMOToronto, ON
CA$50,100 - CA$93,000Onsite

About The Position

Develops, maintains, and manages an analytics platform and core operations enabling the delivery of data products and data management processes. Ensures data storage and processing meets quality, traceability and security needs defined in data governance guidelines. Improves and scales operational data flows across different source and destination systems to meet data modeling, data science, machine learning requirements. Supports faster, safer cloud data migration process. Supports innovation of tools, methods and data structures to improve the management and protection of data. Manages all aspects of data platform operations including production support. Scales and standardizes data functions for cloud-based and/or on-premises platform. Builds and leads the production support function and associated processes for production issues, establishes a tiered support model, and manage escalations. Works with stakeholders to drive innovation and results through usage of the digital platform. Leverages platform tools to optimize campaigns and functionality. Establish processes and systems in collaboration with Data Management Tools and Enterprise Support teams to proactively monitor and alert all aspects of EDA's (Enterprise Data and Analytics) data platform and workflows Establish and evangelize operational best practices, frameworks, and processes across all aspects of data platform operations. 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. Take measured risks while protecting the bank by applying our Risk Management Framework in the execution of your role, in line with our Risk Culture and within our approved Risk Appetite, making sound and risk informed decisions that align to business strategy, protect assets, and adhere to applicable policy documents (Frameworks, Policies, Standards, Procedures and Supporting documents), laws and regulations.

Requirements

  • IT Operating Model
  • Building and managing relationships
  • Managing change
  • Negotiation and influencing
  • Critical thinking
  • Database / repository design
  • Database management
  • Data security and privacy control
  • System and technology integration
  • Data integration
  • Analytical Platforms
  • Systems thinking
  • Technology delivery management
  • Data Consumption Lifecycle
  • Verbal & written communication skills
  • Collaboration & team skills
  • Analytical and problem solving skills
  • Typically between 3 - 5 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

  • 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.
  • Take measured risks while protecting the bank by applying our Risk Management Framework in the execution of your role, in line with our Risk Culture and within our approved Risk Appetite, making sound and risk informed decisions that align to business strategy, protect assets, and adhere to applicable policy documents (Frameworks, Policies, Standards, Procedures and Supporting documents), laws and regulations.

Responsibilities

  • Develops, maintains, and manages an analytics platform and core operations enabling the delivery of data products and data management processes.
  • Ensures data storage and processing meets quality, traceability and security needs defined in data governance guidelines.
  • Improves and scales operational data flows across different source and destination systems to meet data modeling, data science, machine learning requirements.
  • Supports faster, safer cloud data migration process.
  • Supports innovation of tools, methods and data structures to improve the management and protection of data.
  • Manages all aspects of data platform operations including production support.
  • Scales and standardizes data functions for cloud-based and/or on-premises platform.
  • Builds and leads the production support function and associated processes for production issues, establishes a tiered support model, and manage escalations.
  • Works with stakeholders to drive innovation and results through usage of the digital platform.
  • Leverages platform tools to optimize campaigns and functionality.
  • Establish processes and systems in collaboration with Data Management Tools and Enterprise Support teams to proactively monitor and alert all aspects of EDA's (Enterprise Data and Analytics) data platform and workflows
  • Establish and evangelize operational best practices, frameworks, and processes across all aspects of data platform operations.

Benefits

  • health insurance
  • tuition reimbursement
  • accident and life insurance
  • retirement savings plans
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service