Description review
Data Operations Analyst I - (US Only)
Catholic Relief Services · United States · back to the listing
HR standards
58/100
needs work
Title ↔ description
73/100
solid
Reads as
Data Analyst
92% confident
What this role officially is
data analyst — ESCO, the EU occupation classification
Data analysts import, inspect, clean, transform, validate, model, or interpret collections of data with regard to the business goals of the company. They ensure that the data sources and repositories provide consistent and reliable data. Data analysts use different algorithms and IT tools as demanded by the situation and the current data. They might prepare reports in the form of visualisations such as graphs, charts, and dashboards.
Also known as: data warehousing analyst, data analysts, data warehouse analyst, data storage analyst
How others title the same work
Large employers
- Operations Insights, Tax Stripe
Startups
- Senior Data Analyst Camber
- Senior Data Analyst Confido
What the listing never says
- 27 bullet points. Long requirement lists deter qualified candidates, who read them as hard gates. Scope clarity
- No pay range published. Candidates cannot tell whether applying is worth their time. Pay transparency
- No location or timezone policy stated, so a candidate cannot tell where they may work from. Scope clarity
The listing, marked up
Nothing in the wording of this listing tripped a check. The scores above still judge how complete and coherent it is.
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
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