Data Support Sr. Analyst

Description

This role will collaborate with the GRM Data Stewards, Data Users, Data Owners, and Technology Teams to understand and assess their data, processes, and technology to support strategic data initiatives, remediate deficiencies, and drive business requirements.

• Consult with data stewards, process owners, subject matter experts, technical experts, end users and other stakeholders to gather information about the current and target state business process, data attributes and data sources, control features, interfaces with other systems required.
• Document and provide definitions for processes and procedures, data models, data quality controls, data lineage, and data dictionaries using industry standard methods including business process descriptions, use cases, scenarios, diagrams, flow charts, etc.
• Analyze information gathered from multiple sources, reconcile conflicts, segment high-level information into details, and abstract up from low-level information to a general understanding.
• Assess and identify deficiencies against internal policies and standards or industry best practices, providing formal recommendations and requirements to remediate.
• Collaborate and partner with technology teams, architects, and other key stakeholders to drive solutions which provide ongoing operational excellence and resiliency to metadata and control environment challenges.
• Review and provide input to technical solution designs from a business point of view and recommend alternatives.
• Communicate plans, progress and risks appropriately to the stakeholders and sponsors.

Skills :

• Attention to Detail
• Collaboration
• Data Governance
• Data Quality Management
• Risk Management
• Adaptability
• Controls Management
• Negotiation
• Problem Solving
• Result Orientation
• Change Management
• Continuous Improvement
• Data Management
• Presentation Skills
• Stakeholder Management

QUALIFICATIONS

• Bachelors or Masters in computer science, system analysis, Information Systems or related field.
• 1-3+ years of experience with Data Sourcing, Data Wrangling, Data Engineering or similar role
• Strong process / systems analysis, design and documentation.
• Strong analytical, critical thinking, and problem-solving skills.
• Ability to monitor tight deadlines and adapt to unexpected requirement changes.
• Strong Understanding of Risk Management and Data Management Principles

PREFERRED QUALIFICATIONS

• Familiarity with one of the following areas Trading, Consumer Banking, Wealth Management, Transaction Banking
• Understanding or experience of programming in SQL, C / C++, Java
• Familiarity with databases, such as Oracle, Hadoop, etc.

Shift :

1st shift (United States of America)

Hours Per Week :