Data Analytics
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Analytics position in Dallas, TX, lasting 6 months with possible extension. Requires 5+ years in data engineering/analytics, expertise in SQL, Snowflake, and ETL processes, preferably with manufacturing or supply chain experience.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
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🗓️ - Date discovered
August 30, 2025
🕒 - Project duration
More than 6 months
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🏝️ - Location type
On-site
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
Dallas, TX
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🧠 - Skills detailed
#Python #Batch #SQL (Structured Query Language) #"ETL (Extract #Transform #Load)" #Alteryx #SnowPipe #Azure #Databases #Agile #Snowflake #Azure Data Factory #Data Ingestion #Data Pipeline #SAP #Data Cleansing #Jenkins #Libraries #Databricks #Deployment #Datasets #ADF (Azure Data Factory) #Scala #Liquibase #Database Administration #Data Engineering #GitHub #SQL Queries #ML (Machine Learning) #Matillion #Pandas #DevOps #SSIS (SQL Server Integration Services)
Role description
Title - Data Analytics
Location - Dallas, TX
Duration - 6 months with possible extension
Key Responsibilities
• Develop and optimize complex batch and near-real-time SQL queries to meet product requirements and business needs.
• Design and implement core foundational datasets that is reusable, scalable, and performant.
• Architect, implement, deploy, and maintain data-driven solutions in Snowflake and Databricks.
• Develop and manage data pipelines supporting multiple reports, tools, and applications.
• Conduct advanced statistical analysis to yield actionable insights, identify correlations/trends, measure performance, and visualize disparate sources of data.
Required Skills and Experience
• 5+ years in in operations, supply chain, data engineering, data analytics, and/or database administration.
• Experience in design, implementations, and optimization in Snowflake or other relational SQL databases
• Experience with data cleansing, curation, mining, manipulation, and analysis from disparate systems
• Experience with configuration control (GitHub preferred) and Data DevOps practices using GitHub Actions, Jenkins or other deployment pipelines that provide Continuous Integration and Continuous Delivery (CI/CD)
• Experience with Data Extract, Transform and Load (ETL) processes using SQL as the foundation
• Experience with database structures, modeling implementation such as third normal form
Preferred Skills
• Experience with Manufacturing, Operations, and/or Supply Chain process and systems
• Experience using MRP/ERP systems (SAP)
• Experience with Python and related libraries such as Pandas for advanced data analytics
• Experience with schema deployment solutions such as Schema Change or Liquibase
• Working knowledge of Agile Software development methodologies
• Ability to filter, extract, and analyze information from large, complex datasets
• Great verbal and written communication skills to collaborate cross functionally
• Experience with data deployment solutions such as Snowflake Tasks, Matillion, SSIS, Azure Data Factory (ADF) or Alteryx
• Experience with Snowflake Streams, Stages and Snowpipes for data ingestion
• Experience with VS Code and GitHub Desktop for integrated development
• Experience with web application relational database models and APIs
• Knowledge of statistical modeling and machine learning methods
Title - Data Analytics
Location - Dallas, TX
Duration - 6 months with possible extension
Key Responsibilities
• Develop and optimize complex batch and near-real-time SQL queries to meet product requirements and business needs.
• Design and implement core foundational datasets that is reusable, scalable, and performant.
• Architect, implement, deploy, and maintain data-driven solutions in Snowflake and Databricks.
• Develop and manage data pipelines supporting multiple reports, tools, and applications.
• Conduct advanced statistical analysis to yield actionable insights, identify correlations/trends, measure performance, and visualize disparate sources of data.
Required Skills and Experience
• 5+ years in in operations, supply chain, data engineering, data analytics, and/or database administration.
• Experience in design, implementations, and optimization in Snowflake or other relational SQL databases
• Experience with data cleansing, curation, mining, manipulation, and analysis from disparate systems
• Experience with configuration control (GitHub preferred) and Data DevOps practices using GitHub Actions, Jenkins or other deployment pipelines that provide Continuous Integration and Continuous Delivery (CI/CD)
• Experience with Data Extract, Transform and Load (ETL) processes using SQL as the foundation
• Experience with database structures, modeling implementation such as third normal form
Preferred Skills
• Experience with Manufacturing, Operations, and/or Supply Chain process and systems
• Experience using MRP/ERP systems (SAP)
• Experience with Python and related libraries such as Pandas for advanced data analytics
• Experience with schema deployment solutions such as Schema Change or Liquibase
• Working knowledge of Agile Software development methodologies
• Ability to filter, extract, and analyze information from large, complex datasets
• Great verbal and written communication skills to collaborate cross functionally
• Experience with data deployment solutions such as Snowflake Tasks, Matillion, SSIS, Azure Data Factory (ADF) or Alteryx
• Experience with Snowflake Streams, Stages and Snowpipes for data ingestion
• Experience with VS Code and GitHub Desktop for integrated development
• Experience with web application relational database models and APIs
• Knowledge of statistical modeling and machine learning methods
