| Immediate Interview- Informatica MDM Data Analyst at Remote, Remote, USA |
| Email: [email protected] |
| From: Tejasree Echuru, Itbrainiac [email protected] Reply to: [email protected] Position :- Informatica MDM Data Analyst Location :- NJ - Day 1 Onsite Job Description Summary: 8+ years experience Reporting into the Senior Director Enterprise Data Management Strategy and Governance, this position will collaborate with business stakeholders to understand requirements and translate them into effective multi-domain MDM solutions that align with organizational goals. Specifically enabling key GE Aerospace E2E Supply Chain, Logistics and Customer Experience initiatives such as Connected Flow and Plan for Every Part (PFEP). Roles and Responsibilities: Develops and implements strategies to translate business requirements and models into feasible and acceptable data designs to ensure that business needs are met. will support operations by monitoring and analyzing key data domains, critical data elements and relationships to support defined business outcomes. Participate as focal point for data management providing data consulting in support of key business initiatives to improve timeliness, consistency and accuracy of data. In collaboration with subject matter experts and data stewards, defines and implements data strategy, policies, controls, and programs to ensure the enterprise data supporting key is accurate, complete, secure, and reliable. Identifies areas for data quality improvements and helps to resolve data quality problems through the appropriate choice of error detection and correction, process control and improvement, or process design strategies. In partnership with other EDM and IT functions ensures quality of master data in key systems, as well as development and documentation of processes with other functional data owners to support ongoing maintenance and data integrity. Provides assistance in resolving data quality problems through the appropriate choice of error detection and correction, process control and improvement, or process design strategies collaborating with subject matter experts (SMEs) and data stewards. Manages, analyzes, and resolves data initiative issues and manages revisions needed to best meet business requirements while adhering to published data standards. Assists in data management, governance, and data quality of master data requirements with other functional data owners to ensure functional master data integrity across the operation of financial systems is consistent and meets stated business rules and requirements. Work closely with the business/IT to ensure alignment of master data rules and the operations of the application meet all requirements. Assists in the application and implementation procedures of data standards and guidelines on data ownership, coding structures, and data replication to ensure access to and integrity of data sets. Conducts data cleaning to rid the system of old, unused data, or duplicate data for better management and quicker access. As a SME for MDM domains, acts as liaison between the business and technical resources. Desired Qualifications Data Cross-team collaboration, part of a team, working with business SMES, systems and database administrators, data analysts and management and need to be an effective communicator. Attention to Detail: Databases are complex, and a minute error can cause huge problems. Problem-Solving Skills: Data Engineers look at an issue that needs to be solved and produce solutions quickly. Growth Learner: Desire to continue to learn about the future architecture of data technologies. Qualifications: Bachelors degree from accredited university or college with minimum of 4years of professional experience Regards: Tejasree Echuru Sr. IT Recruiter ITBrainiac.Inc | Princeton Forrestal Village, New Jersey 116 Village Blvd, Suite 200 Princeton, NJ 08540| New Jersey-08540 Direct: +609-357-9477 EXT: 110 Direct Line: 609-357-9477 EMAIL : [email protected] Website : www.itbrainiac.com Keywords: information technology New Jersey |
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| Fri Oct 27 00:43:00 UTC 2023 |