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# AI Data Scientist Expert

- **Company:** Charles Schwab & Co., Inc.
- **Location:** Austin, TX, United States (Remote available)
- **Experience:** Expert
- **Contract:** Temporary to permanent
- **Skills:** Artificial Intelligence, Data Analysis, BigQuery, Cloud Engineering, Extract Transform Load (ETL), Data Transformation, Data Presentation, Dataspaces, Python (Programming Language), Power BI, Data Streaming, Tableau (Software), Google Cloud, Sql Optimization, Google Data Studio, Real Time Data, Tools for Reporting, Looker Analytics, Data Pipelines, Alteryx
- **Published:** July 28, 2026
- **Apply:** https://portal.procomservices.com/jobs?jobId=2a3df0ea-5b69-4b0c-945e-cf85214ef946

## About the Role

* 7+ years of experience in Analytics Engineering or a comparable role.
 * Strong experience with BigQuery and the Google Cloud data ecosystem.
 * Extensive experience developing reporting solutions in Tableau and/or Power BI.
 * Advanced SQL and proficiency in Python for analytics and data transformation.
 * Strong written and verbal communication skills.

Nice-to-Have Skills:

 * Experience migrating from Alteryx or other legacy ETL platforms to cloud-native architectures.
 * Google Cloud Professional Data Engineer or Associate Cloud Engineer certification.
 * Experience with Looker or Looker Studio.
 * Familiarity with streaming and near-real-time data architectures.
 * Experience within financial services or regulated industries.

## Description

The project involves transforming raw internal data into trusted datasets and actionable insights to support operational and strategic decision-making. The role focuses on analytics engineering, business intelligence, and data storytelling, with a high likelihood of extension and/or conversion to a full-time employee., * Design, build, and operate data pipelines in both Alteryx and BigQuery/GCP platforms.

 * Ensure data quality, lineage, and reliability throughout the migration lifecycle.
 * Develop and deliver production-grade dashboards using Tableau and/or Power BI.
 * Perform analyses to uncover business insights and translate data into clear narratives.
 * Partner with business and technical teams to define requirements and support decision-making.
 * Document requirements, data contracts, and create executive presentations.


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