Description

You will own data modeling, mapping, and discovery processes across RDBMS and NoSQL environments. You will map existing data models to new applications in NoSQL and Mongo, analyze complex datasets to identify trends and issues, and develop frameworks for automated data collection. You will query and report on corporate datasets within GreenPlum and Snowflake, partner with the Data Warehouse team to manage production data, and resolve data-related interventions.

Responsibilities

• Map existing data models to new applications in NoSQL and Mongo.
• Analyze complex datasets to identify trends, patterns, and issues.
• Develop new frameworks for automated data collection and assessment.
• Query and report on corporate and financial datasets in GreenPlum and Snowflake.
• Manage data-related interventions through to resolution.

Required Skills

• 8 years of progressive professional experience as a Data Analyst.
• Deep expertise in data modeling, dimensional modeling, data mapping, and gap analysis.
• Extensive experience working with data in an RDBMS environment.
• Proficiency with Snowflake and GreenPlum.
• Working knowledge of statistics.
• Experience obtaining strategic and detailed analytics requirements.
• Ability to create and maintain data products using RDBMS, Mongo, or NoSQL.

Preferred Skills

• Experience with NoSQL and Mongo databases.
• Background in banking or financial services.
• Experience working in cloud-native environments.

Key Skills

Education

Any Gradute