Royal & Ross

The Senior Snowflake Data Analyst plays a crucial role in leveraging the Snowflake data platform to extract meaningful insights, support decision-making processes, and optimize data-related operations. This senior-level position involves advanced data analysis, database management, and collaboration with cross-functional teams to ensure effective utilization of Snowflake in meeting business objectives.

Key Responsibilities:

1. Data Analysis and Interpretation:

• Conduct advanced data analysis using Snowflake, extracting actionable insights from complex datasets.
• Interpret and communicate findings to both technical and non-technical stakeholders to drive data-informed decision-making.

1. Database Management:

• Design and implement optimized Snowflake data structures, including tables, views, and stored procedures.
• Develop and maintain efficient ETL processes to ensure the timely and accurate flow of data into and out of Snowflake.

1. Query Optimization:

• Optimize SQL queries for performance and efficiency, ensuring the best use of Snowflake's capabilities.
• Collaborate with database administrators and developers to fine-tune database performance.

1. Data Governance and Security:

• Implement and enforce data governance policies within Snowflake to maintain data integrity and security.
• Work closely with security teams to ensure compliance with industry standards and regulations.

1. Collaboration with Stakeholders:

• Collaborate with business analysts, data scientists, and other stakeholders to understand business requirements and provide data-driven solutions.
• Act as a subject matter expert, providing guidance on the use of Snowflake for various analytical purposes.

1. Performance Monitoring and Reporting:

• Monitor and analyze system performance metrics to proactively identify and address potential issues.
• Generate regular reports on data usage, performance, and system health.

1. Documentation:

• Maintain comprehensive documentation of database structures, data flows, and ETL processes within Snowflake.
• Develop and update documentation for data standards and best practices.

1. Training and Mentoring:

• Provide training and mentorship to junior data analysts or other team members on Snowflake best practices and advanced analytics.

Qualifications:

• Bachelor's or Master's degree in Data Science, Computer Science, or a related field.
• Proven experience as a data analyst with a focus on Snowflake data platform.
• Advanced proficiency in SQL and experience with Snowflake-specific SQL syntax.
• Strong understanding of data warehousing concepts and best practices.
• Excellent analytical, problem-solving, and communication skills.

Preferred Skills:

• Snowflake Certification.
• Experience with data visualization tools (e.g., Tableau, Power BI).
• Knowledge of cloud platforms (e.g., AWS, Azure) and their integration with Snowflake.
• Familiarity with data modeling and schema design.