Writing SQL queries for data extraction and manipulation to address business needs.

Analyzing data trends and patterns using SQL to provide actionable insights.

Creating and maintaining databases, ensuring data integrity and security.

Developing and implementing data validation procedures to ensure data accuracy.

Collaborating with cross-functional teams to understand data requirements and deliver solutions.

Generating reports and visualizations using SQL and BI tools to communicate findings.

Optimizing SQL queries for performance and efficiency to handle large datasets.

Troubleshooting data-related issues and providing timely resolutions.

Documenting data processes and procedures for future reference and training.

Staying updated with the latest SQL developments and data analysis techniques.

Extracting data from diverse sources and ensuring its accuracy and consistency for analysis.

Writing and optimizing complex SQL queries to retrieve data efficiently from databases.

Designing and implementing data models to support business requirements and analytical needs.

Creating insightful reports and dashboards to visualize data and communicate findings to stakeholders.

Monitoring database performance and identifying areas for improvement to ensure optimal efficiency.

Validating data integrity and accuracy to ensure reliable reporting and analysis.

Managing and maintaining ETL (Extract, Transform, Load) processes for data warehousing.

Performing routine database maintenance tasks, including backups and security updates.

Collaborating with cross-functional teams to understand data requirements and deliver solutions.

Analyzing data trends and patterns to identify opportunities for business improvement.

Creating and maintaining documentation for data processes, models, and reports.