About Careertakes

👉 Important disclosure: Careertakes is a third-party recruiting platform supporting this hiring process. If selected, you will be employed directly by our client, Information Technology & Services.

Applicants for this role may also receive access to additional matched opportunities through the Careertakes platform.

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Overview

Confidential Client (Information Technology & Services) is hiring a Data Analyst to support enterprise data requests, automation, and data quality efforts within a cloud-based environment. This is a contract role (Hybrid — three days onsite) based in Trenton, NJ. The team relies on Snowflake, Python, and AWS to deliver reliable, production-ready data solutions and automation.

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What You’ll Do

• Develop, write, debug, and optimize complex Snowflake SQL to fulfill ad-hoc and recurring enterprise data requests.
• Review and interpret existing Python and SQL code to troubleshoot issues and ensure automation aligns with business logic.
• Build and maintain Python-based automation to streamline recurring support tasks and ticket resolution.
• Perform data profiling, validation, and discrepancy analysis across Snowflake and AWS-hosted sources.
• Translate business requirements into technical deliverables and deliverables into reproducible scripts and queries.
• Investigate and resolve data quality issues, inconsistencies, and gaps across enterprise datasets.
• Analyze existing workflows and identify opportunities to optimize or automate processes.
• Support data operations and maintain data integrity within the Project Nexus ecosystem (or equivalent enterprise platform).
• Document technical solutions, data analysis processes, and remediation steps; communicate findings to technical and business stakeholders.

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Required Qualifications

• 3+ years hands-on experience with Snowflake SQL: scripting, performance optimization, and troubleshooting.
• 3+ years programming in Python for data analysis and automation.
• 3+ years working with and reviewing complex SQL and Python codebases.
• 3+ years experience in data analysis, profiling, and validation.
• Experience creating automation to resolve recurring support requests or tickets.
• Strong analytical and problem-solving skills; attention to data accuracy and lineage.
• Excellent verbal and written communication skills; able to present technical findings to business stakeholders.
• Bachelor’s degree or equivalent experience in a related field preferred.
• Authorized to work in the United States; able to commute to Trenton, NJ for onsite days.

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Preferred / Nice-to-Have

• Experience working with AWS cloud services in data workflows.
• Prior involvement in enterprise data modernization initiatives.
• Familiarity with data quality frameworks, monitoring, and alerting.
• Experience with deployment/orchestration tools for Python-based automation.

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Location & Work Model

• Work location: Trenton, NJ (based on authoritative job location).
• Work model: Hybrid — three days onsite per week. Remote-only candidates will not be considered for this posting.
• Employment type: Contract (terms and duration to be detailed by our client).

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Compliance & Hiring Notes

• This posting follows applicable U.S. hiring laws for the state of New Jersey.
• Applicants must be authorized to work in the U.S. — sponsorship is not provided unless explicitly stated by the client.
• Employment offers may be contingent on background checks and verification where permitted by law.
• Compensation is not provided in this listing. If the client provides a salary range, it will be added to comply with state pay-transparency laws.

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Equal Opportunity & Hiring Transparency

Careertakes and our client are Equal Opportunity Employers committed to building a diverse and inclusive workforce. We prohibit discrimination or harassment of any kind. To support a fair and efficient hiring process, AI tools may be used to assist with application review or resume screening. These tools do not replace human decision-making. Final hiring decisions are made by people.

If you have questions about how your data is used, please contact us directly.