Epicareer Might not Working Properly
Learn More

Data Specialist

Salary undisclosed

Checking job availability...

Original
Simplified

Job Mode- Work from Home

Experience- 2-7 years

Job Summary:

We are seeking a highly skilled Data Specialist with expertise in SQL to manage, analyze, and optimize data processes. The ideal candidate will be responsible for handling large datasets, ensuring data integrity, and leveraging SQL for data extraction, transformation, and reporting. You will work closely with data analysts, engineers, and business teams to support decision-making and enhance data-driven strategies.

Key Responsibilities:

  • Data Management: Design, develop, and maintain SQL databases, ensuring data quality and integrity.
  • Data Extraction & Transformation: Write complex SQL queries to extract, clean, and manipulate large datasets from multiple sources.
  • Data Analysis & Reporting: Generate reports and dashboards using SQL and visualization tools (e.g., Power BI, Tableau).
  • Performance Optimization: Optimize SQL queries and database performance to improve processing speed and efficiency.
  • Data Governance & Security: Implement best practices for data security, compliance, and governance.
  • Collaboration: Work with data analysts, engineers, and business teams to understand data needs and provide actionable insights.

Job Mode- Work from Home

Experience- 2-7 years

Job Summary:

We are seeking a highly skilled Data Specialist with expertise in SQL to manage, analyze, and optimize data processes. The ideal candidate will be responsible for handling large datasets, ensuring data integrity, and leveraging SQL for data extraction, transformation, and reporting. You will work closely with data analysts, engineers, and business teams to support decision-making and enhance data-driven strategies.

Key Responsibilities:

  • Data Management: Design, develop, and maintain SQL databases, ensuring data quality and integrity.
  • Data Extraction & Transformation: Write complex SQL queries to extract, clean, and manipulate large datasets from multiple sources.
  • Data Analysis & Reporting: Generate reports and dashboards using SQL and visualization tools (e.g., Power BI, Tableau).
  • Performance Optimization: Optimize SQL queries and database performance to improve processing speed and efficiency.
  • Data Governance & Security: Implement best practices for data security, compliance, and governance.
  • Collaboration: Work with data analysts, engineers, and business teams to understand data needs and provide actionable insights.