Reference Data Analyst - BANKING

Reference Data Analyst

-Master and reference data

-Handling party and customer account data

-Data remediation for data quality issues, data analystics (Ask “How did you remediate a data quality issue?”)

-PM experience leading a project to completion

-Excel and PowerPoint

The Reference Data Adoption Analyst will partner with lines of business and global functions to execute the Reference Data adoption strategy focused on the Party and Account domains. This position requires an understanding of enterprise data capabilities as well as their practical application across functions in a large financial services organization

Responsibilities:

• Track and facilitate the resolution of issues involving Master and Reference Data use and quality

• Work with business process owners across the enterprise to capture and evaluate Party and Account data process flows, identify pain points and find inflight initiatives to remediate reported data quality issues

• Participate in defining and establishing appropriate data guidelines and fixing issues at source

• Provide regular status updates to stakeholders to assess progress of initiatives

Experience:

• 6-10 years relevant experience, Banking or Finance industry preferred

• Technical Expertise: Prior experience with Master and Reference Data domains e.g., Party/Customer, Account, Product etc.. data quality and data governance. Demonstrated Data Analyst and process engineering skillset in Master and Reference data domains in financial / banking industry, a strong understanding of various project management methodologies and tools, the ability to monitor tight deadlines and / or unexpected requirement changes, and proficiency in the use of basic Microsoft applications (Word, Excel, PowerPoint)

• Collaboration: Effective collaborator, by being able to build relationship and partnerships with others to meet shared objectives as well as communicating effectively and in a way that conveys a clear understanding of the unique needs of different audiences

• Project Management: Experience in managing and implementing successful projects as well as strong analytic and problem-solving skills

Self-Starter:

• High degree of initiative and personal accountability, self-starter and highly motivated

Communications:

• Strong documentation skills

Knowledge of Master Reference Data Systems & Concepts

Technology Background

Key Exp:

Master and Reference Data

Reference Data

Data Governance

MRD

Data Quality

Data Ownership

Data Lineage

Operating Models

Reference Data Operations

Reference Data Technology

Stakeholder Management