数据运营分析师 I - （仅限美国）
Data Operations Analyst I - (US Only)
注意：上述薪资范围仅适用于在美国境内执行工作的申请人，以及被 CRS 归类为国际派遣人员的申请人。在本地薪酬体系下聘用的员工将遵循相应国家的薪资范围。您的招聘经理可在候选人选拔过程中提供更多关于您预期工作地点的具体薪资范围信息。
职位概述
Data Operations Analyst I 通过执行重复性业务流程、支持数据质量计划、响应用户请求以及维护系统文档和用户资源，为筹款和业务系统提供数据操作支持。
该职位是确保操作活动及时执行、提高数据质量并帮助用户有效使用 G-REM CRM 和系统的关键资源。在既定程序和指南下，分析师可以独立判断，解决各种常规和中等复杂度的问题，同时将更复杂的问题升级至团队成员和供应商。
该职位结合了数据操作执行、用户支持、数据管理以及持续改进的责任。
主要职责
操作支持与数据管理
作为重复性操作活动和常规数据维护流程的主要资源。
职责
- 在每周二和周四上午 7:30 ET 开始执行预定的确认处理。
- 执行预定的重复记录审查和修复活动。
- 执行已批准的大批量上传、导入和数据维护任务。
- 根据既定程序处理成员和组织记录的合并。
- 在定义的服务级别内完成重复性操作活动。
- 维护操作日志和文档。
- 适当升级异常情况、风险和未解决的问题。
数据质量提升
支持持续提升系统中数据准确性、一致性和可用性的努力。
职责
- 执行常规的数据清理和修复活动。
- 审查重复队列并根据既定业务规则解决记录。
- 识别重复出现的数据质量问题并推荐纠正措施。
- 协助数据验证和对账活动。
- 支持主动的数据质量提升计划和清理项目。
- 与团队中的顾问角色合作以改善数据管理实践。
- 监控并报告数据不准确的重复来源
查看英文原文
NOTE: The above Pay Range only applies to applicants who perform the job within the US and to applicants classified by CRS as International Assignees. Staff hired on local payroll would follow the respective Country pay range. Your recruiter can share more about the specific salary range for your anticipated work location during the candidate selection process.
Position Summary
The Data Operations Analyst I provides data operational support for fundraising and business systems by performing recurring business processes, supporting data quality initiatives, responding to user requests, and maintaining system documentation and user resources.
The role serves as a key resource for ensuring timely execution of operational activities, improving data quality, and helping users effectively utilize G-REM CRM and systems. Working under established procedures and guidelines, the Analyst exercises independent judgment to resolve a variety of routine and moderately complex issues while escalating more complex challenges to team members and vendors.
The position combines data operational execution, user support, data stewardship, and continuous improvement responsibilities.
Key Responsibilities
Operational Support & Data Stewardship
Serve as the primary resource for recurring operational activities and routine data maintenance processes.
Responsibilities
- Perform scheduled acknowledgment processing beginning at 7:30 AM ET on Tuesdays and Thursdays.
- Conduct scheduled duplicate review and remediation activities.
- Execute approved bulk uploads, imports, and data maintenance tasks.
- Process constituent and organizational record merges according to established procedures.
- Complete recurring operational activities within defined service levels.
- Maintain operational logs and documentation.
- Escalate exceptions, risks, and unresolved issues as appropriate.
Data Quality Improvement
Support ongoing efforts to improve data accuracy, consistency, and usability across systems.
Responsibilities
- Perform routine data cleanup and remediation activities.
- Review duplicate queues and resolve records using established business rules.
- Identify recurring data quality issues and recommend corrective actions.
- Assist with data validation and reconciliation activities.
- Support proactive data quality initiatives and cleanup projects.
- Partner with team Advisor roles to improve data management practices.
- Monitor and report on recurring sources of data inaccuracies.
- Test and build automated method for data quality and duplicate resolution utilizing programming and AI
User Support, Knowledge Management & User Enablement
Provide frontline support while helping users become more self-sufficient.
Responsibilities
- Respond to routine ServiceNow requests and user questions.
- Assist users with system navigation, reporting, and standard processes.
- Resolve common support issues using documented procedures.
- Create and maintain user guides, job aids, FAQs, and knowledge articles.
- Analyze recurring support requests and document solutions.
- Recommend opportunities for self-service resources and process improvements.
- Support communication and adoption of system changes and enhancements.
Continuous Improvement & Team Support
Contribute to improvements that increase efficiency and reduce support volume.
Responsibilities
- Identify opportunities to streamline support processes.
- Assist with testing and validation of system enhancements.
- Participate in documentation and process improvement efforts.
- Support special projects related to data quality, user support, and system adoption.
- Share feedback from users to help improve systems and processes.
Required Languages: English
Travel: Not required
Supervisory Responsibilities: No
Originally posted on Himalayas