Ibex, on behalf of one of its global clients, is seeking a skilled and detail-oriented
  
   Business Intelligence Analyst
  
  with strong expertise in
  
   SQL, data transformation, and visualization
  
  . The ideal candidate will collaborate closely with
  
   cross-functional teams and international clients
  
  to deliver meaningful insights and support data-driven decision-making.
 
   Key Responsibilities:
  
- 
   Develop and execute
   
    complex SQL queries
   
   to extract and manipulate data from multiple sources.
  
- 
   Design and implement stored procedures, including creating database schemas from the ground up.
  
- 
   Clean, transform, and validate datasets to ensure accuracy, consistency, and completeness.
  
- 
   Utilize
   
    Python
   
   for data analysis, automation, and transformation tasks to streamline reporting processes.
  
- 
   Create and maintain
   
    reports, dashboards, and visualizations
   
   to communicate insights to stakeholders.
  
- 
   Collaborate with cross-functional teams to understand data requirements and deliver meaningful analysis.
  
- 
   Monitor data integrity, identify anomalies, and troubleshoot data-related issues.
  
- 
   Participate in data governance and quality improvement initiatives.
  
- 
   Automate recurring data processes and reporting workflows to improve efficiency.
  
   Requirements:
  
- 
   Bachelor’s degree in computer science,
   
    Data Science, Statistics, Mathematics
   
   , or a related field.
  
- 
   Minimum 2 years of hands-on experience in writing
   
    SQL queries
   
   and working with
   
    relational databases (e.g., SQL Server, PostgreSQL, MySQL, Oracle).
   
- 
   Proficiency in
   
    Microsoft Excel
   
   and at least one
   
    BI tool (e.g., Power BI, Tableau).
   
- 
   Proficiency
   
    in Python
   
   for data manipulation, analysis, and automation.
  
- 
   Strong analytical skills with exceptional attention to detail and accuracy.
  
- 
   Proven
   
    experience working with large datasets and applying data wrangling techniques.
   
- 
   Excellent communication, collaboration, and problem-solving skills.
  
- 
   Ability to work independently, manage multiple priorities, and meet deadlines.