Job Description

Description:
Location Address: 44 King Street W 23rd Floor\xe2\x80\x93 1/per week in the office (No mandatory)
Contract Duration: ASAP to 10/31/2024
Possibility of extension- Possible
Schedule Hours: 9 am-5 pm Monday-Friday (No OT)Candidate Value Proposition:
The successful candidate will have the opportunity to work in a growing field in the banking industry.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 working on business analysis 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 Tool

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.

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