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# Data Analytics Specialist

- **Company:** PDS Inc.
- **Location:** Richardson, TX, United States (Remote available)
- **Salary:** $171,974.0
- **Contract:** Temporary contract
- **Skills:** Application Programming Interfaces (APIs), Amazon Web Services, Data Analysis, Business Logic, Microsoft Azure, Cloud Computing, Cloud Database, Data Governance, Extract Transform Load (ETL), Data Structures, Data Warehousing, Database Development, IDoc, Performance Tuning, Reverse Engineering, SAP (Applications), SAP NetWeaver Business Warehouse, SAP FI/CO, SAP NetWeaver Data Management, SAP Sales and Distribution, Google Cloud, Snowflake, SAPBasis, Data Analytics, SAP S/4HANA, Data Pipelines
- **Published:** September 3, 2026
- **Apply:** https://www.nexxt.com/job.asp?id=3375515121&tx=JP10801LFU&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

Strong English communication skills are essential. Candidates must be able to communicate clearly, concisely, and professionally with diverse audiences., To be successful in this role, you should have:

 * Strong expertise with Snowflake , including:
 * Data warehousing concepts
 * Schema design
 * SQL development
 * Performance optimization
 * Experience interpreting and working with SAP S/4HANA data structures , including modules such as:
 * FI/CO
 + MM
 + SD
 + PP
 * Ability to read and understand SAP metadata from:
 * Tables
 * CDS Views
 * SAP Extractors
 * SAP BW Artifacts
 * Knowledge of ELT/ETL frameworks, data modeling methodologies, and modern data pipeline architectures
 * Experience reverse engineering existing datasets, dashboards, views, and data products
 * Proven ability to write comprehensive functional and technical specifications
 * Strong analytical, problem-solving, and documentation skills
 * Excellent communication and collaboration skills within cross-functional business and technical teams

Preferred Qualifications

Candidates with the following experience will stand out

 * Prior experience supporting large-scale enterprise SAP environments
 * Knowledge of cloud platforms such as:
 * Microsoft Azure
 * Amazon Web Services (AWS)
 * Google Cloud Platform (GCP)
 * Familiarity with Snowflake native services and cloud-based data architectures
 * Experience supporting enterprise reporting, analytics, or digital transformation initiatives

## Description

As a Snowflake Analyst - SAP S/4 Integration, you'll play a pivotal role in bridging SAP S/4HANA data with enterprise data products and reporting solutions. You'll analyze complex data environments, reverse engineer existing solutions, and transform business requirements into scalable Snowflake-based models that support critical decision-making across the organization.

Your expertise will help unlock the value of enterprise data, enabling improved visibility, operational efficiency, and strategic planning in an industry where precision and performance matter.

What You'll Do

In this role, you will:

 * Analyze existing data products, pipelines, models, and reporting solutions to reverse engineer business logic and transformation rules.
 * Partner with SAP functional and technical teams to understand SAP S/4HANA data structures, including tables, CDS views, APIs, IDocs, and related artifacts.
 * Design and document detailed functional and technical specifications for SAP-to-Snowflake integrations.
 * Evaluate source data quality, completeness, and alignment with business reporting requirements.
 * Collaborate with architects and data engineers to define ingestion frameworks, staging environments, transformation processes, and semantic models.
 * Translate business needs into actionable data requirements that support enterprise-wide reporting and analytics initiatives.
 * Create and maintain data dictionaries, lineage documentation, mapping documents, and interface specifications.
 * Support testing activities by defining test scenarios, validating transformations, and troubleshooting pipeline issues.
 * Identify opportunities to improve Snowflake data models, warehouse performance, and transformation logic.
 * Ensure compliance with enterprise data governance standards, security requirements, and integration best practices.
 * Serve as a key liaison between business stakeholders, SAP teams, data engineers, and architecture teams., Your work will support a leading aviation organization that relies on accurate, timely, and scalable data solutions to drive innovation, operational excellence, and business success.


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