The Master and Reference Data Strategy Intermediate Analyst is responsible for supporting the strategic evolution and/or adoption of Master and Reference Data in coordination with the Data Governance team. The overall objective is to support the creation, maintenance and adoption of a unified and consistently defined fit-for-purpose enterprise-wide Master and Reference Data domains.
The Master and Reference Data Strategy Intermediate Analyst will partner with lines of business and global functions to support the identification, collection, and remediation of Data Quality issues and concerns, while executing the Master Reference Data adoption strategy across all Reference data 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:
- Review and examine current and future state Reference Data process with an eye towards continuous improvement
- Uses professional judgment, discretion, and business expertise to resolve varied and complex issues that have notable impact on the business.
- Participate in data maintenance efforts and status tracking of how data is captured, stored and consumed
- Assist with BAU data management and data maintenance processes across data lifecycle
- Performs checker functions for BAU processes
- Integrates in-depth specialty area operational knowledge, combined with a solid understanding of industry standards and practices.
- Tests features and functionality in planned software releases as needed.
- Track compliance to Master and Reference Data governance requirements
- Track and facilitate the resolution of issues involving Master and Reference Data use and quality
- May occasionally provide informal guidance or on the job training to new or lower level team members.
- Generates, reviews and distributes of error reports, and follow-up on incident tickets
- Work with key stakeholders to define success, develop supporting metrics and then build visualization and analytics
Qualifications:
- 2-5 years of experience, Banking or Finance industry preferred
- Proven ability to provide in-depth and sophisticated analysis with interpretive thinking to define problems and develop innovative solutions
- Experience in managing successful projects
- Optimizes work processes by knowing the most effective and efficient processes to get things done, with a focus on continuous improvement
- Ability to anticipate and balance the needs of multiple stakeholders, while monitoring tight deadlines or unexpected requirement changes
- Ability to communicate effectively in non-technical terms at all levels of the organization
- Proficient in the use of basic Microsoft applications (Word, Excel, PowerPoint)
Education:
- Bachelor's/University degree or equivalent experience
#LI-Hybrid
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Job Family Group:
Data Governance------------------------------------------------------
Job Family:
Master and Reference Data Strategy------------------------------------------------------
Time Type:
Full time------------------------------------------------------
Most Relevant Skills
Change Management, Constructive Debate, Data Analysis, Data Architecture, Data Governance, Data Model Maintenance, Data Quality, Emerging Tools and Technologies, Internal Controls, Program Management.------------------------------------------------------
Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter.------------------------------------------------------
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