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Snowflake Analyst - SAP S​/Integration Richardson, TX

Job in Richardson, Dallas County, Texas, 75080, USA
Listing for: Robert Half
Seasonal/Temporary position
Listed on 2026-09-04
Job specializations:
  • IT/Tech
    Data Engineering, Data Warehousing
Job Description & How to Apply Below
Position: Snowflake Analyst - SAP S/4 Integration Job in Richardson, TX | Robert Half

Snowflake Analyst - SAP S/4 Integration

Citizenship 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)

Overview

We are seeking a Snowflake Analyst with experience in SAP S/4

HANA 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/4

HANA data structures, and the ability to communicate complex technical concepts clearly and professionally to both technical and non-technical stakeholders.

Key Responsibilities

  • Analyze 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/4

    HANA 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.
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