ServiceNow CMDB Analyst

Jobs via Dice

San Francisco (CA)

Hybrid

USD 58,032 - 87,048

Full time

14 days+

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Job summary

A leading clothing company is looking for a ServiceNow CMDB Analyst to work on a contract basis in San Francisco. This role involves ensuring accurate CI data in the ServiceNow CMDB, through analysis, deduplication, and relationship comparisons. Candidates should have 2-4 years of relevant experience in working with ServiceNow and a strong grasp of data quality management.

Qualifications

  • 2-4+ years of hands-on experience with ServiceNow CMDB.
  • Strong knowledge of data models and CI relationships.
  • Comfortable with large datasets and data quality improvements.

Responsibilities

  • Analyze CI records to identify duplicates and inconsistencies.
  • Executes CI cleanup tasks using Transform Maps.
  • Documents data validation rules and workflows for accuracy.

Skills

Data analysis
CI normalization
Deduplication
Data quality

Tools

ServiceNow
Identification and Reconciliation Engine (IRE)
CMDB Health Dashboard
Transform Maps

Job description

Our client, a leading clothing company, is hiring a ServiceNow CMDB Analyst on a contract basis.
Job ID: 82535

Work Location:
San Francisco, CA

Summary of Responsibilities:
The client is seeking a ServiceNow CMDB Analyst (Contractor) to support efforts around data quality, CI normalization, deduplication, and relationship accuracy within our enterprise ServiceNow CMDB. This role focuses on identifying, analyzing, and resolving inconsistencies across Configuration Items (CIs). You will work closely with CMDB engineers, data owners, and platform administrators to ensure clean, actionable data across the CMDB, using reconciliation rules, CI comparison techniques, and ServiceNow tools to uphold the integrity of configuration data.

Responsibilities:
Analyze CI records across multiple sources to identify duplicates, stale records, or inconsistencies.
Leverage the Identification and Reconciliation Engine (IRE) to manage merging and updating of CI records based on defined logic.
Execute bulk updates, CI cleanup tasks, and CI deduplication efforts using Transform Maps, Data Sources, or update scripts.
Work with stakeholders to resolve CI ownership, classification, or lifecycle discrepancies.
Identify data gaps or incorrect relationships (e.g., missing parent/child or host/application relationships) and recommend or execute corrections.
Run reports and dashboards to monitor CMDB health, completeness, and compliance to model definitions.
Document cleanup workflows, data validation rules, and reconciliation decisions for traceability.

Required Qualifications:
2-4+ years of hands-on experience working with ServiceNow CMDB, specifically on CI data analysis and reconciliation tasks.
Strong working knowledge of CMDB data models, class hierarchy, and how CIs relate to IT infrastructure and applications.
Experience using ServiceNow tools such as:
o CMDB Health Dashboard
o CI Class Manager
o Identification and Reconciliation Engine (IRE)
o Transform Maps and Data Sources
Proficiency with analyzing large datasets and using ServiceNow reporting tools to drive data quality initiatives.
Comfortable working independently with data anomalies and escalating systemic issues to engineering teams as needed.
Preferred Skills
Familiarity with the Common Service Data Model (CSDM 4.0) and applying it to CI relationship mapping and classification.
Experience resolving conflicts between discovered and manually created records.
Understanding of CMDB integrations (SCCM, JAMF, cloud CMDBs) from a data reconciliation perspective.
ServiceNow certifications such as:
o CMDB Micro-Certifications
o Discovery Fundamentals (helpful, but not required)
Experience in retail, logistics, or large distributed environments with complex CI landscapes.

Engagement Details:
Duration: 6-12 months, with potential for extension
Work Location: Remote, with optional onsite work depending on project needs
Hours: Full-time (40 hours/week), standard business hours

Pay Rate: $30- $45/hour W2

The post appeared first on .

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

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