以上为北京时间。链接检查不代表仍在招聘，申请前请以招聘官网为准。
按这个岗位的城市和方向提醒，确认后才开启，可选择每日或每周。
负责企业数据完整性管理，执行主数据记录的新增、修改和删除操作，遵循数据质量与安全策略。支持会员权益计划执行，并为业务团队提供数据支持。
Reporting to the Team Lead, Data Support, the Support Services Data Administrator is responsible for ensuring data integrity through the ongoing management of enterprise data. This position will ensure the cleanliness and compliance of data by adhering to processes, procedures and utilizing tools provided for data support activities while ensuring business requirements are consistently met.
In addition, this position supports and executes UFA's member equity and other member programs as per UFA's defined processes and by-laws.
The successful candidate for this role will also have the opportunity to grow their skill set and provide auxiliary support to the Business & Customer Support teams at UFA, as needed.
Responsibilities:
- Conduct daily data administration tasks which include developing, creating, modifying and/or deleting data elements related to master data records following defined standards.
- Monitor and validate new requests while initiating action plans to correct and maintain current data.
- Uphold data integrity by ensuring compliance with policies, standards, processes, and procedures thus guaranteeing consistency and accuracy.
- Test new or upgraded system functionality specific to master data, according to release standards.
- Identify opportunities to continually improve the quality of data and streamline internal processes.
- Work closely with internal business units on all issues related to master and member data, acting as a subject matter expert for Data Support.
- Adhere to UFA Data Quality, Data Retention and Data Security policies.
- Bachelor's degree in business administration or other related discipline with 3 - 5 years' relevant experience in a data focused role, or similar education + experience.
- Intermediate understanding of master data concepts and best practices in the industry.
- Experience with SAP and MS D365 tools.
- Proven attention to detail.
- Full working knowledge of MS-Office suite (especially Excel).
- Strong communication, planning, research, problem solving and analytical skills.
- Experience with data cleansing, ETL (Extraction, transform, load) activities and exception/validation reporting.
- Adept in investigation, problem solving and root cause analysis.
- Ability to manage confidential information.
- Willingness to adapt to a flexible work schedule.
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