Why This Role Stands Out
This hybrid Data Analyst role offers a fantastic opportunity to leverage your Snowflake, SQL, and Python skills to drive impactful data solutions within a reputable organization. You'll thrive here if you're a detail-oriented professional eager to automate processes and solve complex data challenges. Apply now to contribute to crucial data initiatives with valuable flexibility.
Quick Overview
Job Description
NOTE: APPLICANT MUST BE ON OUR W2 OR 1099 AND CURRENT NJ RESIDENT. C2C IS ALLOWED IF OWN CORPORATION ONLY. NOT ACCEPTING SUB-VENDORS.
Role: Data Analyst
Location: Trenton, NJ – Hybrid (3 days onsite, 2 days remote)
Duration: 12 Months
Interview: MS Teams + In-Person
Short Description:
Data Analyst provides technical analysis, automation, & fulfilment of data requests. Proficiency in Snowflake, SQL and Python required. Execute complex data requests, perform deep-dive profiling, & resolve data discrepancies to support the Agency.
Complete Description:
The Data Analyst is responsible for the technical analysis, automation, and fulfilment 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 Fulfilment: Serve as the technical point of contact for complex data inquiries, translating business requirements into precise technical deliverables.
Skill Required / Desired Amount of Experience
· Snowflake SQL (Scripting & Optimization) – Required – 3 Years
· Python Programming (Data/Automation) – Required – 3 Years
· Code Review & Interpretation – Required – 3 Years
· Data Analysis & Profiling – Required – 3 Years
· Automated Scripting for Ticket Resolution – Required – 3 Years
· Excellent Communication Skills – Required – 3 Years
· Cloud Data Warehouse (AWS) – Desired – 3 Years
Question 1
Please provide LinkedIn profile
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