Snowflake Analyst - SAP S/4 Integration

Description

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/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 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/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.

Requirements

Required Qualifications

• Strong experience with Snowflake, including data warehousing concepts, schema design, SQL development, and performance optimization.
• Experience working with SAP S/4HANA data structures and modules such as FI/CO, MM, SD, or PP.
• Ability to interpret SAP metadata, including tables, CDS views, extractors, and SAP BW artifacts.
• Knowledge of ETL/ELT processes, data modeling, and enterprise data architectures.
• Experience reverse engineering datasets, reports, dashboards, or existing data solutions.
• Strong technical documentation skills, including functional and technical specifications.
• Excellent verbal and written communication skills with the ability to engage diverse audiences.

Preferred Qualifications

• Experience supporting large enterprise SAP environments.
• Knowledge of cloud platforms such as Azure, AWS, or Google Cloud Platform.
• Familiarity with Snowflake-native services and modern cloud data architectures.

Education & Experience

• Bachelor's degree in Technology, Engineering, Data Science, or a related field and relevant professional experience; OR
• Advanced degree in a related field; OR
• Equivalent combination of education and relevant experience.

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