Job Description

Business Analyst (Data Management) Level 4
Location Address: Hybrid (once a week preferred; as required ) Toronto ON
Contract Duration: 12 months
Scheduled Hours: Monday to Friday, 9am-5pm

Typical Day in Role:
Experience working in data management and can provide hands-on support on the implementation according to Data Office playbooks, guidelines, standards, and policies (e.g., documenting initiatives, use cases, data tiering and classification, critical data elements and business data elements)
Performs any necessary data mapping and data lineage activities and documents information flows to support specific business requirements
Performs data profiling, analyzes, and communicates results in support of data quality processes
Builds the metadata model and business glossary by gathering information from multiple sources: business users, existing data sources, databases and other relevant documents and systems
Participates in knowledge transfer within the team, business units and provide recommendation opportunities to enhance productivity, effectiveness, and operational efficiency of the business unit and/or team
Monitors project progress by tracking activity, resolving problems, publishing progress reports, and recommending actions.
Work in an Agile mindset to accelerate the delivery of the project
Prepares technical reports by collecting, analyzing, and summarizing information and trends
Assesses, researches, analyzes, and documents project needs and outcomes by selecting the appropriate information gathering and/or modelling technique to elicit requirements

Candidate Requirements/Must-Have skills:
1. 8+ years of working experience as a Technical Business Analyst
2. Strong experience of business analysis processes, frameworks with documenting processes and data flows
3. 5+ years of Data Management background and experience
4. 5+ years of experience with business acumen, data analysis, metadata documentation, and data quality controls skills specifically with respect to analyzing business process controls, sourcing and provisioning of lineage, identifying data quality issues and proposing remediation steps
5. Experience in agile project methodology and artifacts, on software/application development lifecycle in an agile fashion
6. Working knowledge of data flows within a large enterprise

Nice-To-Have Skills:
Familiar with Collibra Data Management Tool
Knowledge of programming language e.g. Python, SQL, Big Query
Cloud platforms and related data services knowledge (e.g., Google Cloud Platform, Microsoft Azure, Amazon Web Services)
Previous experience working in Banking/FI

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