Junior Data Engineering Analyst- C11 - MISSISSAUGA - Hybrid

The Junior Engineering Data Analyst is a junior-level position responsible for liaising between business users and technologists to exchange information in a concise, logical and understandable way in coordination with the Technology team. The overall objective of this role is to contribute to continuous iterative exploration and investigation of business performance and other measures to gain insight and drive business planning.

Responsibilities:

• Formulate and define systems scope and project objectives through research activities and provide guidance to new or lower level analysts
• Analyze business client needs, document requirements and new technology, and derive test cases
• Define and analyze enhancements and assist in redesigning business processes and process automation
• Prepare reports, metrics and presentations and exchange ideas/information in a concise and logical manner between business units and IT
• Identify risk and consider business implications of the application of technology to the current business environment
• Test systems to ensure projects meet requirements and identify system problems to develop solutions based on analyses
• Resolve problems by translating business requirements into technical solutions and identifying and selecting solutions through the application of acquired technical experience and precedent
• Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency.

Education:

• Bachelor's degree/University degree or equivalent experience

Job Description:

• Third party Vendor Management.
• Monitoring, review and timely action of event notifications.
• Financial Data Modeling Capabilities
• Data Analysis for complex system
• Reverse engineering functional specifications from data
• Work closely with End Users/Clients to understand Business Process/Industry Standards/Regulatory Mandate requirements.
• Work closely with IT and Operations partners
• Work with external data vendors (i.e., Bloomberg, Reuters, IDC, Markit, etc) and standards organizations
• Able to execute projects Independently
• Conduct Systems Integrated Testing (SIT) and User Acceptance Testing (UAT)
• Create Function Specification Documents (FSD), System Requirement Specification (SRS), and test plans

Qualifications:

• Working experience of 2 years min. as Business Analyst ,preferably in Vendor management role.
• Strong background in financial reference data and capital markets
• Strong SQL knowledge required (able to query data, analyze and troubleshooting)
• Strong Data analysis and Mapping skill
• College degree, specialized training or equivalent work experience
• Data Oriented with an excellent attention to detail
• Experience/understanding of business process reengineering and business modeling concepts, systems development lifecycle
• Strong analytical skills and writing skills, to include solid experience in writing functional and technical specifications
• Must possess good communication skills with the ability to be assertive
• Ability to focus on high quality work while under pressure
• Experience utilizing various SDLC methodologies like Waterfall, Agile (JIRA etc.)
• Comprehensive knowledge of the Testing Lifecycle with SIT, UAT, and Production.

Preferred Skills

• Experience working with major vendor data providers (i.e., Bloomberg, Reuters, IDC, Markit)
• Project lead experience
• Experience working closely with IT Project managers and development teams
• Knowledge of MS Excel, Visio
• Experience with vendor product implementation

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Job Family Group:

Technology

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Job Family:

Business Analysis / Client Services

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Time Type:

Full time

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Qualified applicants will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

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