- 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.
Fill the skill matrix below:
Skill
Amount
Candidate's No. of years of experience
Snowflake SQL (Scripting & Optimization)
Required
3
Python Programming (Data/Automation)
Required
3
Required
3
Data Analysis & Profiling
Required
3
Automated Scripting for Ticket Resolution
Required
3
Required
3
Cloud Data Warehouse (AWS)
3