Location Address: Hybrid (minimum once a week) – Toronto
Contract Duration: ASAP until October 31, 2024
Extension Opportunity: Yes
Number of Positions: 2
Scheduled Hours: Monday to Friday, 8:30am-5pm
Typical Day in Role:
• Support the Senior Manager on strategic data and innovation initiatives, presentations, and analysis with executive level visibility for the Treasury Management team.
• 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 quality rule creation, 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.
• Champions a data driven & customer focused culture to deepen client relationships and foster broader Bank relationships and DO knowledge.
Candidate Requirements/Must-Have skills:
1. 10+ years of working experience as a Data Analyst with a strong understanding of data concepts (metadata, data mapping, data quality, data modeling, data governance).
2. Hands-on experience working within Data Management and Operations, including proficiency in Data Management Tools (Collibra and IGC preferred) and understanding of data flows within a large enterprise.
3. Working knowledge of Data Management framework and can trace data elements at origination and as they move between systems including any transformations.
4. Working knowledge of data models, data relationships, mapping lineage and business rules.
5. Strong 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.
6. Hands on experience with developing dashboards in PowerBI and Tableau.
Nice-To-Have Skills:
• Strong experience of business analysis processes, frameworks with documenting processes and data flows.
• Understanding of Bank’s systems i.e. ALM6, IGC, GC.
• Demonstrated ability to provide evidence to 2nd and 3rd line.
• Understanding or experience with Treasury.
• Cloud platforms and related data services knowledge (e.g., Google Cloud Platform, Microsoft Azure, Amazon Web Services).
Soft Skills:
• Strong communication (verbal/written) skills and ability to distill information for executives.
• Strong organizational skills to effectively manage multiple tasks within varying timelines.
• Ability to work as part of a team, as well as work independently or with minimal direction.
• Strong decision making, forward thinking and creative problem-solving skills to anticipate and respond quickly to technological/market influences.
Best vs. Average Candidate:
• An average candidate will only have experience with data governance, whereas the ideal candidate will have expertise in both data governance and data analytics.
• Extensive experience with Power BI and Tableau.
• Detail oriented and ability to work independently.
Education:
• Strong technical education background, majoring in fields that require a high degree of analytical skills, such as Engineering, Computer Science, Physics, Math, Statistics, Accounting or related field.
Candidate Review & Selection
• One round MS Teams video interview – Hiring manager and Team member (1 hour)
• 70% technical (data governance and analytic capabilities) and 30% soft skills
• Possibility of second round interview