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Data Analyst-Snowflake

Brilliant Infotech Inc.Trenton, NJ🇺🇸United StatesPosted Oct 7, 2026

Quick Overview

Seniority
Mid Senior
Work mode
Hybrid
Location
Trenton, NJ, United States
Posted
19 hours ago
SQLAWSSnowflakePython

Job Description

Job Description

We are looking for a Data Analyst to provide technical analysis, automation, and fulfillment of enterprise data requests supporting our client’s digital infrastructure. This position will be contract and hybrid in Trenton, NJ.

  • Develop, debug, and optimize complex SQL scripts within the Snowflake environment to support data requests and enterprise-wide analysis

  • Review and interpret existing Python and SQL code to troubleshoot issues, recommend improvements, and maintain alignment with established business logic

  • Create and deploy Python-based automations to streamline recurring support processes and reduce manual effort

  • Perform data profiling, validation, and integrity checks within Snowflake and AWS environments

  • Serve as the technical point of contact for complex data requests by translating business needs into technical solutions

  • Analyze and resolve data discrepancies while supporting modernization and cloud data initiatives

Required:

  • Bachelor’s degree in Computer Science, Information Systems, Data Analytics, or a related field

  • 3+ years proficiency with Snowflake SQL including query development, debugging, and optimization

  • 3+ years experience developing and maintaining Python scripts for automation and data processing

  • Strong knowledge of cloud-based data environments including AWS and Snowflake

  • 3+ years experience performing data profiling, validation, and data quality analysis

  • Ability to troubleshoot complex technical issues and review existing codebases

  • Strong analytical, problem-solving, and communication skills

  • Ability to work in a hybrid environment and collaborate with technical and business stakeholders

Preferred:

  • Experience supporting government or public sector data initiatives

  • Knowledge of enterprise ticketing and support workflows

  • Experience with large-scale data modernization projects

  • Familiarity with data governance and data quality best practices

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