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CRM Analyst - Digital Learning - UTK

Job in Knoxville, Knox County, Tennessee, 37955, USA
Listing for: University of Tennessee
Full Time position
Listed on 2026-05-24
Job specializations:
  • IT/Tech
    Data Analyst
Salary/Wage Range or Industry Benchmark: 80000 - 90000 USD Yearly USD 80000.00 90000.00 YEAR
Job Description & How to Apply Below

The CRM Analyst designs, builds, and maintains data for automated, student‑focused communications in Techno solutions Slate as well as provides backup administration support for the platform. This role owns the flow, quality, and application of student data that powers every communication touchpoint. The incumbent designs and optimizes source formats and automated imports/exports, builds highly targeted populations with configurable joins, helps govern preference and consent data, and assists with maintaining the overall underlying online student data model built in Slate.

Position supports data quality efforts including basic query/reporting functions and serves as a secondary administrator for the overall platform.

Responsibilities Data Quality, Integration & Automation
  • Configure campaign data logic with population scopes, entry/exit rules, and delivery windows; test data in Preview and run retroactive refreshes when populations are activated.
  • Configure and perform population refreshes and retroactive joins so automations feed real‑time or near‑real‑time campaigns.
  • Design scalable data models by creating tables, custom fields, and attribute groups that support large student datasets in compliance with FERPA and CAN‑SPAM.
  • Design and maintain source formats that automate file imports via Slate SFTP; map fields, enforce de‑duplication rules, and create/update records at scale.
  • Ensure incoming data is accurate, consistent, matchable, and secure. This includes consolidating records, assisting Enrollment Counselors (ECs) with marking records as spam, and maintaining our domain spam list.
Query Development
  • Write, optimize, and document Slate Query Tool scripts (Configurable Joins, sub‑queries, calculated exports) for audience segmentation, suppression, and data enrichment.
  • Build and package queries as recipient lists for Deliver campaigns, rules for automations, or exports for external systems.
  • Optimize query performance; document logic and version in Git or Slate History.
  • Configure texting credit consumption rules and opt‑in syncing to maintain compliance.
QA, Troubleshooting, and Governance
  • Serve as a secondary go‑to resource for CRM Administrator when issues arise in Slate—whether something is unclear, not functioning as expected, or blocking their work—and raise concerns as needed.
  • Perform pre‑flight data checks and validate merge fields and query logic before campaign activation.
  • Monitor campaign data logs, delivery statistics, and error reports that might indicate data failure; diagnose rule conflicts or population scope issues and raise concerns as required.
  • Audit field usage, prompt values, and data retention schedules; implement corrective actions for data anomalies.
  • Govern unsubscribe logic, publication lists, and self‑service preference centers; ensure FERPA, CAN‑SPAM, GDPR, and institutional policy compliance.
Analytics, Dashboards & Collaboration
  • Build and maintain existing visual data dashboards and exports to surface actionable insights for Enrollment Coaches, Communications, and Academic partners.
  • Present KPI trends (engagement, funnel velocity, data‑quality scores) and recommend optimizations rooted in evidence.
  • Handle ad hoc, non‑recurring data requests in Slate, as well as update existing queries and reports as new rounds and terms are introduced.
Qualifications

Required Qualifications and Education
  • Associate's degree in a related field or equivalent related experience.
  • 2+ years hands‑on Slate experience including use of configurable joins, rules, populations, and queries/reports.
Strong Candidates Will Have
  • Knowledge of Slate modules, especially Deliver, Populations, Rules & Automation, and Queries.
  • Skill in writing advanced SQL within the Query Tool (Configurable Joins, calculated fields, window functions) for segmentation and data hygiene.
  • Ability to architect populations, rules, and delivery windows to support large‑scale drip campaigns.
  • Knowledge of Slate SMS setup, opt‑in compliance, and credit management.
  • Strong understanding of data privacy laws (FERPA, GDPR) and opt‑in/consent frameworks.
  • Analytical mindset; able to translate raw data into dashboards, narrative insights, and actionable…
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