Sr. Business Analyst to perform data mapping/data lineage activities and document information f[...]

3 weeks ago

Toronto ON, Canada S I Systems Full time
Sr. Business Analyst to perform data mapping/data lineage activities and document information flows to support our large banking client - BNSJP00033984

Sr. Business Analyst to perform data mapping/data lineage activities and document information flows to support our large banking client - BNSJP00033984

Description:

Location Address: Downtown Toronto – 1/per week in the office (Not mandatory)

Contract Duration: ASAP to 10/31/2024

Possibility of extension- Possible

Schedule Hours: 9 am-5 pm Monday-Friday

Business group: Canadian and International Data (OU20018623)

Customer data analytics, data management, and data analytics of the bank.

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’s business strategies and objectives.

The main function of the Senior Technical Business Analyst role is to support the investigation, development, testing, and operationalization of data solutions related to the strategic goals of the Data Office. This role ensures all activities are conducted in compliance with enterprise data standards, policies, and procedures.

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:

  • 8+ years of experience as a Business Analyst working on processes, frameworks with documenting processes and data flows
  • 3+ years of experience working with data concepts ( metadata, data mapping, data quality, data modeling, data governance )
  • 3+ years of experience working with agile project methodology and artifacts, on software/application development lifecycle in an agile fashion
  • 2+ years of experience working with data models, data relationships, mapping lineage and business rules.

Nice-To-Have Skills:

  • Knowledge of programming language
  • Working knowledge of data flows within a large enterprise.
  • Understanding of Cloud platforms and related data services knowledge (e.g., Google Cloud Platform, Microsoft Azure, Amazon Web Services)
  • Familiar with Data Management Tools

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 is someone who can adapt and change very quickly and can demonstrate it during the interview phase. Someone with 3+ years of experience working with data concepts (metadata, data mapping, data quality, data modeling, data governance.

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