Data Analyst

Dew Softech, Inc; Trenton (NJ); Hybrid; USD 70,000 - 110,000; Full time

Job summary

Dew Softech, Inc. is seeking a Data Analyst in Trenton, NJ (Hybrid: 3 days onsite, 2 days remote) for a contract engagement. The role focuses on technical data analysis, automation, and fulfilling data requests using Snowflake, SQL, and Python.

The analyst will optimize existing code and automate recurring tasks within a cloud environment (Snowflake/AWS). The candidate will develop and debug SQL scripts, audit the codebase for improvements, and collaborate to support modernization initiatives

Qualifications

• Proficiency in Snowflake SQL and Python required.
• Ability to execute complex data requests and perform deep-dive profiling.
• Auditing, understanding, and optimizing existing codebase for automation.

Responsibilities

• Technical analysis, automation, and fulfillment of enterprise data requests.
• Write, debug, and optimize Snowflake SQL scripts to fulfill ad-hoc data requests.
• Develop Python-based scripts to automate recurring data tasks and ticket resolutions.
• Perform data profiling and validation in Snowflake and AWS to ensure data integrity.

Skills

Snowflake

SQL

Python

Data analysis

Tools

AWS

Job description

Data Analyst
Location: Trenton, NJ (Hybrid) 3 days onsite and 2 days remote
Duration: Contract

Interview Type: In Person Interview

Short Description: 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.

Complete Description:

• 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.

Flexible work from home options available.