Hybrid Data Analyst — Snowflake, SQL & Python Automation

DEW Softech Inc; Trenton (NJ); Hybrid; USD 55,000 - 110,000; Full time

Benefits offered by this job

Hybrid work model

Remote work flexibility

Job summary

DEW Softech Inc's Data Analyst role in Trenton, NJ, is a contract position with a hybrid work setup (3 days onsite, 2 days remote). The role focuses on technical data analysis, automation, and fulfilling data requests within the enterprise data workflows.

Proficiency in Snowflake SQL and Python is required to design and optimize data solutions, audit existing code for improvements, and deploy Python-based automations to reduce manual tasks while ensuring data integrity across AWS environments.

Qualifications

• Proficiency in Snowflake, SQL and Python required.
• Experience with data profiling and data quality checks is a plus.
• Ability to write and optimize SQL scripts within Snowflake environment.

Responsibilities

• 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.

Skills

Snowflake SQL

Python

SQL

Data analysis

Job description

DEW Softech Inc's Data Analyst role in Trenton, NJ, is a contract position with a hybrid work setup (3 days onsite, 2 days remote). The role focuses on technical data analysis, automation, and fulfilling data requests within the enterprise data workflows.

Proficiency in Snowflake SQL and Python is required to design and optimize data solutions, audit existing code for improvements, and deploy Python-based automations to reduce manual tasks while ensuring data integrity across AWS environments.