Senior Data Analyst

5-7 Years

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Early Applicant

Job Description

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

Minimum Qualifications

Required Qualifications

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