ServiceNow Data & GRC/IRM Analyst - SPM Expert

TAWANTECH; Riyadh; On-site; SAR 180,000 - 280,000; Full time

Job summary

TAWANTECH is seeking a data analyst to own or support the business-facing data workstream for ServiceNow GRC/IRM and SPM implementation. You will source data, define mappings and quality rules, and provide auditable reconciliation evidence. Technical ETL work is performed only when assigned.

The role requires hands-on data profiling, transformation rule design, and collaboration with data engineers, integration teams, and business owners to ensure accurate data loads and validations.

Qualifications

• Bachelor's degree required in related field.
• Experience with data governance and ServiceNow data migration.
• Strong SQL and data profiling skills.

Responsibilities

• Inventory source systems, files, owners, entities, fields, reference data, attachments, history, volumes, formats, and known quality issues.
• Profile source data and quantify completeness, validity, consistency, uniqueness, referential integrity, duplication, and timeliness issues.
• Develop and maintain source-to-target mapping specifications, data dictionaries, transformation rules, lookup mappings, defaulting rules, and ownership records.
• Define data cleansing, standardization, de-duplication, enrichment, archival, rejection, exception, and remediation rules with business owners.
• Coordinate mapping workshops for policy, authority document, control, risk, audit, finding, BCM, portfolio, demand, project, resource, financial, and related data.

Skills

SQL

Data profiling

Data quality

Migration

Mapping specifications

Education

Bachelor's degree in Computer Science or related

Tools

ServiceNow

ETL tools

Power Query

Python

BI tools

Job description

TAWANTECH is seeking a data analyst to own or support the business-facing data workstream for ServiceNow GRC/IRM and SPM implementation. You will source data, define mappings and quality rules, and provide auditable reconciliation evidence. Technical ETL work is performed only when assigned.

The role requires hands-on data profiling, transformation rule design, and collaboration with data engineers, integration teams, and business owners to ensure accurate data loads and validations.