Database Analyst
2 weeks ago
Key Responsibilities:
· Analyze and manage data to ensure accuracy, consistency, and integrity within the database systems.
· Collaborate with cross-functional teams to maintain and optimize databases, including monitoring and improving database performance.
· Assist in the design, implementation, and maintenance of databases and data management systems.
· Prepare and run complex SQL queries to extract, manipulate, and analyze data for reporting and decision-making.
· Develop and automate reports to provide insights and support data-driven decisions across various departments.
· Troubleshoot and resolve database issues and ensure data security and compliance with organizational standards.
· Monitor and improve the efficiency of database operations, including data backups, recovery, and performance tuning.
· Collaborate with other IT professionals to integrate databases with third-party applications and systems.
· Assist in the development of data models and strategies for improving data storage and retrieval efficiency.
· Conduct data validation and integrity checks to ensure data quality for reports and analysis.
Requirements:
· Proficiency in SQL and relational database management systems (RDBMS) such as MySQL, PostgreSQL, or Microsoft SQL Server.
· Understanding of database design principles and experience with data modeling and normalization techniques.
· Familiarity with database performance optimization, indexing, and tuning.
· Strong analytical and problem-solving skills with the ability to work with complex datasets and derive meaningful insights.
· Familiarity with data integration, ETL (Extract, Transform, Load) processes, and data warehousing concepts.
· Strong communication skills, both written and verbal, with the ability to work collaboratively with technical and non-technical teams.
· Knowledge of data visualization tools (e.g., Tableau, Power BI) and reporting tools is a plus.
· Experience with cloud-based platforms (e.g., AWS, Google Cloud) and big data technologies (e.g., Hadoop, Spark) is a plus.
· Knowledge of programming languages such as Python, R, or Java for automating tasks and enhancing data workflows is a plus.
Tell employers what skills you haveDocument Management
Archiving
Big Data
Data Modeling
Data Integration
Microsoft SQL Server
Inventory Control
Biology
Food Science
Commercialization
Change Control
Google Cloud
Performance Tuning
Database Design
Data Warehousing
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