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# Data Analyst/Engineer

- **Company:** QuEST Global
- **Location:** United States
- **Salary:** $105,000.0 - $110,000.0
- **Contract:** Permanent contract
- **Skills:** Microsoft Excel, Big Data, Data Validation, Data Transformation, Data Structures, Data Visualization, Python (Programming Language), Azure Machine Learning, SQL Databases, Tableau (Software), Snowflake, Prompt Engineering, Data Lakes, Slack, Build Process, Interactive Whiteboards, Data Pipelines
- **Published:** May 14, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=af2ed842f3b4cfb4

## About the Role

Do you have experience in Tableau?, * Create and improve data visualization tools like Tableau & ThoughtSpot

 * Work with Snowflake & it's built in infrastructure, SQL, Python, Excel, & Numbers
 * Experience presentation/project management Tools like Quip, Keynote, Miro, Slack
 * Experience and understanding of machine learning tools like datarobot
 * Project Management experience
 * to provide support to a wide variety of business teams
 * Good Interpersonal, relationship building, communication and presentation skills, * Shop floor environment, which may include but not limited to extensive walking, and ability to lift up to 40 lbs.

## Description

* Perform root cause analysis on processes and data to identify opportunities for improvement and answer questions
 * Build processes that support data transformation, workload management, data structures, dependency and metadata
 * Perform data validation checks, identify and rectifying errors, and maintaining a quality standard throughout the data's lifecycle.
 * Explore datasets to identify trends, patterns, and insights.
 * Perform analysis for stakeholders and other non-technical professionals. Build models to generate actionable insights for making efficient business decisions.
 * Build data pipelines that clean, transform, and aggregate data from disparate sources
 * Work with data to solve business problems, building and maintaining the infrastructure to answer questions and improve processes
 * Streamline data science workflows, adding value to our product offerings and building out the customer lifecycle and retention models
 * SQL proficient (Snowflake), Tableau, Able to do prompt engineering
 * DL (data lakes), ingest the data and transform
 * be able to deal with large volumes of data
 * ML classification, anomalies, annotation, prediction, * You must be able to commute to and from the location with your own transportation arrangements to meet the required working hours.


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