Hi,
We are having the below mentioned requirement:
Position requires both a webcam and an in-person interview
Job Title: Data Analyst Snowflake SQL, Python & AWS
Location: Trenton, NJ Hybrid
Experience: 3 6 Years
Interview: Webcam + In-Person Interview Required
Work Auth: Any Visa accepted(NO H1 and NO Fake Profiles)
Important Submission Requirements
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Candidates must be currently located in the Trenton, NJ area.
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Position requires onsite presence.
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Local candidates only will be considered.
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Candidates must be available for both a webcam interview and an in-person interview.
Job Summary
We are seeking a hands-on Data Analyst with strong experience in Snowflake SQL, Python, data analysis, automation, and cloud-based data environments.
The Data Analyst will support enterprise data requests by performing technical analysis, developing automation scripts, reviewing existing Python and SQL code, profiling data, resolving discrepancies, and optimizing data workflows within Snowflake and AWS environments.
The ideal candidate should be comfortable handling complex data requests, troubleshooting existing scripts, automating recurring support activities, and translating business requirements into technical data solutions.
Required Skills
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3+ years of Snowflake SQL, including complex scripting, debugging, and query optimization.
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3+ years of Python programming for data processing and automation.
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3+ years of code review and interpretation involving Python and SQL.
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3+ years of data analysis and data profiling experience.
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Experience developing automated scripts for support/ticket resolution.
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Strong knowledge of SQL, data validation, data reconciliation, and troubleshooting.
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Excellent written and verbal communication skills.
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Ability to translate business data requests into technical solutions.
Preferred Skills
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Experience working with AWS cloud data environments.
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Experience with cloud data warehouses and enterprise data platforms.
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Knowledge of data quality, data integrity, and large-scale data workflows.
Key Responsibilities
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Write, debug, and optimize complex Snowflake SQL scripts for ad-hoc and enterprise data requests.
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Perform technical analysis and fulfillment of complex data requests.
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Conduct deep-dive data profiling, validation, and discrepancy analysis.
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Review and interpret existing Python and SQL codebases to identify issues and recommend improvements.
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Troubleshoot production data issues and ensure continuity of existing automation processes.
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Develop Python-based automation scripts to resolve recurring support tickets and reduce manual intervention.
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Perform data operations and validation across Snowflake and AWS environments.
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Investigate and resolve data inconsistencies across enterprise systems.
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Support modernization and data transformation initiatives.
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Serve as a technical point of contact for complex data inquiries.
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Translate business requirements into accurate technical and data deliverables.
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Collaborate with business, application, infrastructure, and data teams to deliver reliable solutions.
Technical Environment
Snowflake | SQL | Python | AWS | Data Analysis | Data Profiling | Data Validation | Automation | Code Review | Cloud Data Warehouse