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Rulesys Technologies Inc. is seeking a Data Analyst for NJDOE to perform technical analysis, automation, and fulfillment of enterprise data requests. Proficiency in Snowflake SQL and Python is required to manage complex data workflows.
The role involves writing scripts to automate ticket resolutions, auditing existing code, and optimizing cloud-based data operations in Snowflake/AWS for modernization initiatives.
Candidates must agree to the following terms before applying:
Req. ID 810300
Requisition Class Data Analyst N2
Region Name State of New Jersey
Title/Role NJDOE - Data Analyst (810300)
Region Description State of New Jersey
Req. Status Open
No. of Openings 1
Start Date Sep 14, 2026
End Date Sep 30, 2027
Agency Interview Type Both iLinc Web Cam and In Person Interview
Priority Normal
Standard Work Week (In Hours) 40
Work Arrangement Hybrid
Work Location Mercer County
Client NJDOE
Data Analyst provides technical analysis, automation, & fulfillment of data requests. Proficiency in Snowflake, SQL and Python required. Execute complex data requests, perform deep-dive profiling, & resolve data discrepancies to support NJDOE.
Note: This is a Hybrid position - 3 Days On-Site, 2 Days Remote
The Data Analyst is responsible for the technical analysis, automation, and fulfillment of enterprise data requests within the Department's digital infrastructure. This role requires a high degree of proficiency in Snowflake SQL and Python to manage complex data workflows. The Analyst will be responsible for not only writing new scripts to automate ticket resolutions but also for auditing, understanding, and optimizing existing codebase to ensure system continuity. Working within cloud environments (Snowflake/AWS), the analyst will execute complex data requests, perform deep-dive profiling, and resolve data discrepancies to support the Department's modernization initiatives.
Snowflake SQL Development: Write, debug, and optimize complex SQL scripts within the Snowflake environment to fulfill ad-hoc data requests and perform system-wide data analysis.
Codebase Auditing: Review and interpret existing Python and SQL code to troubleshoot errors, suggest improvements, and ensure new automations align with established logic.
Support Automation: Develop and deploy Python-based scripts to automate the resolution of recurring support tickets, significantly reducing manual intervention for common data tasks.
Cloud Data Operations: Perform data profiling and validation within Snowflake and AWS to ensure data integrity across the Project Nexus ecosystem.
Request Fulfillment: Serve as the technical point of contact for complex data inquiries, translating business requirements into precise technical deliverables.