Senior Data Analyst

Key Responsibilities

• Design, develop, and maintain advanced dashboards and interactive reports using Power BI
• Perform complex data querying and manipulation using SQL (e.g., Oracle, Microsoft SQL Server)
• Develop and maintain database programs and user interface/query software
• Conduct data modeling, validation, and transformation to ensure data accuracy and consistency
• Implement ETL processes and work with data integration tools
• Apply predictive modeling, NLP, text analytics, and data mining techniques when required
• Collaborate with cross-functional teams in Agile environments
• Ensure adherence to Data Quality, Data Governance, and Data Stewardship standards
• Support data-driven decision-making through clear visualization and reporting
• Work with Hadoop and NoSQL databases where applicable
• Operate within UNIX, Linux, Solaris, and Windows environments as needed
  
  

• Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, Industrial Engineering, Management, or any related field
• Minimum 5 years of professional experience in Data Analytics
• At least 3 years of hands-on Power BI development experience
• Strong expertise in SQL for data querying and data manipulation
• Proficient in Python for data analysis (e.g., pandas, numpy)
• Experience with database management systems such as Oracle and Microsoft SQL Server
• Hands-on experience with ETL tools and data modeling tools (e.g., ERWin, Enterprise Architect, Visio)
• Knowledge of Data Quality, Data Governance, and Data Stewardship practices
• Experience with predictive modeling, data mining, NLP, and text analysis
• Exposure to Hadoop and NoSQL databases is a plus
• Familiarity with Agile methodologies
• Strong analytical, problem-solving, and communication skills