Data Business Analyst Lead

Bank N.A.; Canada; Remote; CAD 110.000 - 140.000; Vollzeit

Zusammenfassung

BMO Global Asset Management invites an experienced Lead Data Business Analyst to join the Investment Solutions and Delivery team in Canada. You will drive end-to-end delivery of data-centric investment solutions, from requirements gathering and documentation through data analysis, testing, and implementation to enable informed investment decisions.

You will partner with Investment, Risk, Compliance, Operations, and Technology teams to translate business objectives into testable data

Qualifikationen

• Leads requirements gathering sessions with stakeholders to understand objectives, pain points, and data needs.
• Translates business objectives into clear business requirements documents and acceptance criteria.
• Documents end-to-end data lineage, data flows, controls, and operational procedures.
• Maintains traceability from outcomes to data rules and test evidence through implementation.

Aufgaben

• Leads requirements gathering sessions with Portfolio and Product Managers, Investment Operations, Risk, Compliance, Institutional Sales, Technology, and other stakeholders to understand business objectives, pain points, and data needs.
• Translates business objectives into clear business requirements documents (BRDs), functional specifications, user stories, and acceptance criteria for investment solutions.
• Documents current- and future-state business processes, data flows, control points, dependencies, and operational procedures, and keeps them up to date.
• Maintain end-to-end traceability from approved business outcomes and requirements through data rules, solution design, test cases, defects, implementation evidence, and final business acceptance.
• Assess proposed solutions against the underlying business objective and challenge approaches that do not adequately satisfy approved requirements.
• Serves as a subject-matter expert on investment data, including securities, holdings, transactions, performance, benchmarks, reference data, and related investment datasets.
• Develops and maintains source-to-target data mappings, data dictionaries, business rules, transformation requirements, and supporting data documentation.
• Documents end-to-end data lineage from external and internal sources through to downstream reporting and analytics, supporting data governance, controls, and auditability.
• Perform root-cause analysis of data discrepancies, process breaks, and control issues, working across business, operational, technical and vendor interests to determine underlying causes and appropriate remediation.
• Analyzes, profiles, and reconciles data from multiple sources using SQL and Python to identify gaps, data quality issues, and root causes, enabling more efficient processes and streamlined reporting.
• Structures data into multiple dimensions and granularities (e.g. products, positions, transactions) to support reporting and analytics.
• Rationalizes legacy data sources, ensuring clear stewardship, proper documentation, reduction of technical debt, and alignment with modern data architecture principles.

Kenntnisse

SQL

Python

Data analysis

Requirements gathering

Tools

Power BI

Jobbeschreibung

Application Deadline:
11/06/2026

Address:
VIRTUAL(R)59 - REMOTE/TELETRAVAIL - ON - BMO

Job Family Group:
Data Analytics & Reporting

We are seeking an experienced Lead Data Business Analyst to support the BMO Global Asset Management (BMO GAM) business as part of the Investment Solutions and Delivery team.

In this role, you will drive the end-to-end delivery of data-centric investment solutions, from requirements gathering and documentation through data analysis, testing, and final implementation, ensuring solutions enable accurate, timely, and fact-based investment and business decisions.

You will partner closely with Investment teams, Investment Operations, Risk, Compliance, Institutional Sales, Technology, Data Platform teams, external service providers and other business areas to translate business objectives into clear, testable data and solution requirements.

You will help ensure that delivered solutions satisfy approved business outcomes, data requirements, control expectations, and acceptance criteria.

You will also contribute to the strategy and roadmap for investment data quality, data modeling, reporting, and analytics, including clear documentation of data definitions, data lineage, and business processes across the investment data lifecycle.

Key Responsibilities:

Requirements Gathering & Documentation

• Leads requirements gathering sessions with Portfolio and/or Product Managers, Investment Operations, Risk, Compliance, Institutional Sales, Technology, and other stakeholders to understand business objectives, pain points, and data needs.
• Translates business objectives into clear business requirements documents (BRDs), functional specifications, user stories, and acceptance criteria for investment solutions.
• Documents current- and future-state business processes, data flows, control points, dependencies, and operational procedures, and keeps them up to date.
• Maintain end-to-end traceability from approved business outcomes and requirements through data rules, solution design, test cases, defects, implementation evidence, and final business acceptance.
• Assess proposed solutions against the underlying business objective and challenge approaches that do not adequately satisfy approved requirements.

Data Knowledge & Management

• Serves as a subject-matter expert on investment data, including securities, holdings, transactions, performance, benchmarks, reference data, and related investment datasets.
• Develops and maintains source-to-target data mappings, data dictionaries, business rules, transformation requirements, and supporting data documentation.
• Documents end-to-end data lineage from external and internal sources through to downstream reporting and analytics, supporting data governance, controls, and auditability.
• Perform root-cause analysis of data discrepancies, process breaks, and control issues, working across business, operational, technical and vendor interests to determine underlying causes and appropriate remediation.
• Analyzes, profiles, and reconciles data from multiple sources using SQL and Python to identify gaps, data quality issues, and root causes, enabling more efficient processes and streamlined reporting.
• Structures data into multiple dimensions and granularities (e.g. products, positions, transactions) to support reporting and analytics.
• Rationalizes legacy data sources, ensuring clear stewardship, proper documentation, reduction of technical debt, and alignment with modern data architecture principles.

Testing & Quality Assurance

• Plans and coordinates user acceptance testing (UAT), including test strategy, test scenarios, test cases, and test data, and obtains business sign-off prior to production release.
• Validates data outputs against requirements and source systems and automates validation tests where possible to improve quality and efficiency.
• Logs, tracks, and manages defects through to resolution in partnership with technology teams and vendors.
• Assess proposed defect resolutions and workarounds for their impact on business requirements, data quality, operational processes, control, and downstream consumers.
• Maintain clear traceability between requirements, testing evidence, identified defect, remediation, and business acceptance.

Solution Delivery

• Supports the design, development, and implementation of data, analytics, and reporting solutions aligned with business strategy and stakeholder needs.
• Coordinates release readiness, production deployment, and post-implementation validation to ensure solutions are delivered as intended, on time and within scope.
• Conducts pre- and post-implementation analyses to measure business impact, and monitors solution performance from an end-to-end perspective.
• Designs reports, dashboards, and visualizations in Power BI and other visualization tools, and develops training materials and user guides to enable self-serve analytics for business users.

Stakeholder Liaison

Serves as the trusted data partner and liaison between Investmen