The successful candidate contributes to the overall success of the Data Office in Canada ensuring specific individual goals, plans and initiatives are executed / delivered in support of the team\xe2\x80\x99s business strategies and objectives.
The main function of the Senior Technical Business Analyst role is to support investigation, development, testing and operationalization of data solutions related to strategic goals of the Data Office.
Candidate Value Proposition:
The successful candidate will have the opportunity to learn best practices around data governance, including AI.
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:
10+ years of experience working on and understanding data concepts (data dictionary, business glossary, data governance) (examples: data schema, data modelling, data lineage) in FI
5+ Experience in agile project methodology and artifacts, on software/application development lifecycle in an agile fashion
10+ years of experience with business analysis processes, frameworks with documenting processes and data flows
Cloud platforms and related data services knowledge (e.g., Google Cloud Platform, Microsoft Azure, Amazon Web Services)
3+ years experience working with Collibra (strongly preferred) or Azure
Nice-To-Have Skills:
Excel Macros (example: KPIs, stats)
JIRA/Confluence
Soft Skills Required:
Detail oriented and skilled in summarizing and provides insights from complicated processes
Self-motivated to solve problems and able to work collaboratively with other team members
Strong oral and written communication skills and comfortable presenting to a variety of audiences
Customer-result focused
Attention to detail and accuracy
Education:
Strong technical education background, majoring in fields that require a high degree of analytical skills, such as Engineering, Computer Science, Physics, Math, Statistics or related field
Best vs. Average Candidate:
The best candidate would have completed the full cycle of data governance in the top 5 banks.
Candidate Review & Selection:
2 rounds:
o 1st \xe2\x80\x93 HM \xe2\x80\x93 1 hr \xe2\x80\x93 MS Teams Video o 2nd \xe2\x80\x93 HM + Director \xe2\x80\x93 30 mins \xe2\x80\x93 MS teams Video
Hiring Manager\xe2\x80\x99s availability to interview: HM AWAY FROM 6/26-7/10