Senior analyst strengthening HR data governance, quality and metadata for TD, a global financial institution. Supporting HR reporting, data products and approved AI use cases.
About the role
- Senior Business Analyst defining enterprise data processes, lineage, quality and requirements for World Vision Canada’s development, relief and advocacy operations.
Responsibilities
- Holds the end-to-end business process and information view across fundraising, finance, program delivery and workforce
- Engages senior leadership to understand business problems, frame options, and present progress, risks and recommendations
- Maintains a consolidated view across data, tooling and processes, identifying integrity risks and recommending options
- Investigates and profiles data across CRM, data warehouse, finance, workforce, program delivery and other operational systems
- Identifies inconsistencies between data sources and establishes authoritative system definitions
- Traces and documents data lineage, transformations and points where definitions diverge
- Elicits business requirements, definitions, business rules, acceptance criteria and source expectations
- Converts requirements into precise, buildable requirements and backlog items with end-to-end traceability
- Leads resolution of conflicting definitions across business areas and secures ratification from accountable business owners
- Documents data contracts, including fields, formats, rules and expectations for system-to-system data exchange
- Defines data product quality standards, validation rules, measurable success criteria and privacy requirements
- Works with the Data Architect on matters requiring architectural rulings while owning the business definition and requirements
Requirements
- Bachelor’s degree in Business, Information Systems, Computer Science, Engineering, Science or a related discipline, or equivalent professional experience
- Business analysis certification (for example CBAP or CCBA) or equivalent formal training. Preferred.
- 10+ years’ of experience in business or systems analysis, including substantial involvement in data-centric initiatives such as reporting, data migration, integration or analytics
- Demonstrated experience presenting to and influencing executive audiences on enterprise-wide initiatives, including framing business problems and recommending options
- Demonstrated experience delivering large-scale organizational transformation initiatives
- Demonstrated experience across multiple business functions, such as fundraising, finance, program delivery or workforce, with the ability to connect processes end to end
- Demonstrated experience working with delivery vendors in a distributed environment, including remote and offshore teams
- Demonstrated production of data analysis and requirements artefacts, including source-to-target mappings, lineage documentation, data definitions, business rules and acceptance criteria
- Experience working in environments using Enterprise Agile frameworks
- Experience within a nonprofit organization, or within a regulated or privacy-sensitive data environment. Preferred.
- Working proficiency in SQL, Python, R or related languages for the profiling, validation and examination of data
- Demonstrated capability in data lineage tracing and source-to-target analysis across multiple enterprise systems
- Business process analysis and modelling, including current- and target-state process design across functions
- Proficiency with requirements, process-modelling and traceability tooling
- Practical experience preparing and specifying data for consumption by AI and machine-learning applications, including requirements for structure, quality, lineage and documentation
- Proficiency with modelling notations and tooling for producing models and diagrams
- Understanding of data product and data contract concepts, including how data products are defined and how the rules governing data exchange between systems are specified. Preferred.
- Familiarity with contemporary data platform concepts and with the data requirements of analytical and AI workloads. Preferred.
- Comfortable applying AI tools within the analysis and optimization workflows, for example, to accelerate data profiling, documentation and synthesis. Preferred.
Benefits
- Health Spending Account
- Up to 6% matched pension contributions
- Parental leave top-up
- Generous paid vacation, sick days, wellness and personal days
- Office closed extra days before long weekends (6x/year)
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