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Robert Half

Snowflake Analyst - SAP S/4 Integration

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What they do

An SAP Analyst or Admin uses SAP software products to collect and analyze data that provides an accurate picture of enterprise resource planning requirements and performance for an organization.

$101,034 / year median in the U.S.

+20% projected growth

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Job Description

Snowflake Analyst - SAP S/4
IntegrationCitizenship Requirement:
U.S. Citizenship required due to government contract requirements
Location:
Remote CST (U.S.)
Type:
Short Term Contract, with High Potential for
Extension Work Schedule:
Monday-Friday, 8:00 AM-5:00 PM (flexible start/end times discussed during interview process)OverviewWe are seeking a Snowflake Analyst with experience in
SAP S/4HANA
data integration to support enterprise data initiatives within a large-scale environment. This role combines data analysis, business analysis, and technical documentation responsibilities, helping bridge SAP source systems with modern Snowflake-based data solutions.

The ideal candidate will have strong Snowflake expertise, experience working with
SAP S/4HANA
data structures, and the ability to communicate complex technical concepts clearly and professionally to both technical and non-technical stakeholders.

Key ResponsibilitiesAnalyze and reverse engineer existing data products, pipelines, and data models.

Translate business requirements into functional and technical specifications.

Work with SAP teams to understand and map
SAP S/4HANA
data into Snowflake-based solutions.

Evaluate source data quality, completeness, and reporting alignment.

Collaborate with architects and data engineers on data ingestion, transformation, and modeling strategies.

Create and maintain data lineage, mapping documents, data dictionaries, and interface specifications.

Support testing, validation, and troubleshooting efforts across data pipelines.

Recommend improvements to existing Snowflake models, warehouse design, and transformation logic.

Ensure adherence to data governance, security, and enterprise data best practices.