SQL + BI + SAS professionals

Key Responsibilities

• Develop and maintain SQL queries and scripts for data extraction and analysis.
• Create and manage BI reports and dashboards using tools such as Power BI or Tableau.
• Conduct data analysis to identify trends, patterns, and opportunities for business improvement.
• Design and implement data models and structures to support analytical needs.
• Collaborate with business stakeholders to understand their data and reporting requirements.
• Utilize SAS for advanced analytics and statistical modeling.
• Ensure data quality and integrity through regular monitoring and maintenance.
• Optimize and tune SQL queries and database performance.
• Provide technical support and training to users on BI and reporting tools.
• Document processes, data models, and report specifications.
• Stay updated with the latest developments in SQL, BI, and SAS technologies.
• Contribute to team projects and initiatives related to data and analytics.
• Collaborate with cross-functional teams to drive data-driven decision-making.
• Participate in the evaluation and implementation of new data and analytics tools.
• Support data governance and compliance initiatives.

Required Qualifications

• Bachelors degree in Computer Science, Information Systems, or related field.
• Proven experience in writing complex SQL queries and scripts.
• Expertise in developing, deploying, and maintaining BI reports and dashboards.
• Demonstrated proficiency in SAS programming and analytics.
• Strong understanding of data modeling concepts and techniques.
• Ability to analyze and interpret complex data sets.
• Experience in performance tuning of databases and SQL queries.
• Familiarity with data visualization best practices and principles.
• Excellent communication and collaboration skills to work effectively with diverse teams.
• Capability to prioritize and manage multiple tasks in a dynamic environment.
• Knowledge of data governance and compliance standards.
• Experience in training and supporting users on BI and reporting tools.
• Ability to document technical processes and specifications effectively.
• Continuous learning mindset to keep pace with evolving data technologies.