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Why this grade
This listing scored 66/100, which is a C. It lost the most ground on pay transparency.
- Description depth 20 / 20 How much the posting actually says about the work, measured in characters of real text.
- Freshness 15 / 15 How recently it was posted. Older postings are likelier to be filled or abandoned.
- Pay transparency 12 / 25 A published salary range, worth more than any other single factor because it is what a candidate cannot find out without applying.
- Remote clarity 8 / 15 Whether "remote" means anywhere, or is quietly restricted to one country.
- Role specificity 6 / 10 Whether the listing is tagged well enough to tell what the role actually is.
- Corroboration 5 / 10 Whether more than one source carries this listing.
Every figure above is arithmetic over the posting itself — its salary field, its text, its age, its tags and how many sources carry it. How the grades work →
This listing does not state a salary
$93k – $148k
That is the middle half of what comparable roles paid on this board over the last 90 days — 17 listings that did publish a figure, median $107k. It is not this employer's offer, and we have no idea what they pay. It is only what the rest of the market advertised.
Data Science Operations Entry level Full Time
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
Apply for this role Opens himalayas.app — the link as listed; we have not yet verified it is the employer's own page
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Where this listing came from
- 04 Oct 2026 Himalayas first sighting
Seen on 1 board over 0 days.