TQUSI0451_5223 - Market Research / Data Analyst

Job Type: Contract,FTE

Work Mode: Hybrid (3 Days from office)

An experienced person specializing in Reference Data with expertise in Market Data to support business and data analysis initiatives


 Job Description 


Serve as a key resource for managing and analyzing Reference Data including Market Data to ensure accuracy and consistency across business units Collaborate with crossfunctional teams to support data governance and enhance data quality frameworks Utilize deep knowledge of Reference Data to support business and data analysis activities within the organization Provide insights and recommendations for optimizing reference data processes and systems Support global data transformation and remediation initiatives by applying best practices in Reference Data management Work closely with stakeholders to align data strategies with business objectives and compliance requirements Leverage analytical skills to interpret complex data sets and support decisionmaking processes


Roles and Responsibilities 


   Act as the Subject Matter Expert SME for Reference Data and Market Data within the business and data analysis domain Lead efforts to maintain and improve the quality integrity and governance of Reference Data Partner with business technology and data governance teams to define data requirements and ensure data consistency Drive data remediation standardization and migration activities as part of global transformation programs Develop and maintain data quality controls monitoring mechanisms and reporting frameworks Support change management activities including user acceptance testing UAT documentation and training Collaborate with enterprise architecture and data offices to ensure compliance with regulatory and business standards Provide analytical support for data lineage usage and dependencies to enhance operational efficiency Facilitate process improvements to increase automation and accuracy in Reference Data handling Manage stakeholder relationships effectively across multiple geographies and teams


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