SQL Data Analyst

CVS Health

1.  Collaborate with cross-functional teams to analyze and gather requirements for database design and development.
2.  Create and maintain database documentation, including data dictionaries and entity-relationship diagrams.
3.  Implement best practices for database design, including proper data types, constraints, and naming conventions.
4.  Troubleshoot and resolve data-related issues reported by end-users or application teams.
5.  Perform data profiling and analysis to identify data quality issues and implement data cleansing processes.
6.  Monitor database performance and usage patterns to identify opportunities for optimization and improvement.
7.  Work on database migration and data integration projects to ensure smooth data transfer between systems.
8.  Conduct performance testing and analysis to identify and resolve performance bottlenecks.
9.  Maintain and troubleshoot existing SQL code, stored procedures, and triggers for bug fixes and enhancements.
10.  Monitor database health and proactively address potential issues to maintain system stability.
11.  Implement partitioning strategies to improve the manageability and performance of large tables.
12.  Ensure database scalability to accommodate growing data volumes and user demands.
13.  Work with database administrators to plan and implement database backups and recovery strategies.

University of Minnesota

Computer Science